AI Model Intelligence Hub & Specifications
Compare specifications, context lengths, token pricing, and benchmark scores across 427 tracked artificial intelligence models from OpenAI, Anthropic, Google, DeepSeek, Meta, and open-source labs.
Top Flagship Model Comparisons
Side-by-side technical specification breakdowns, live API token costs, latency metrics, and benchmark scores across top-ranking frontier models.
Auto Code vs Gemini Omni 1.2 Flash
Gemini Omni 1.2 Flash vs Hy4
GLM 5.3 FlashX Legal vs Hy4
GLM 5.3 FlashX Legal vs GPT-6.1 Terra
GPT-6.1 Terra vs Kimi K3.1 Pro
Kimi K3.1 Pro vs MiniMax M3.1 Flash
Claude Opus 4.8
Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token...
infoDeveloper Notes (2)expand_more
- Best-in-class for autonomous code repair and multi-agent orchestration
- Preview model — API may introduce breaking changes without notice
Llama 4 Maverick
Llama 4 Maverick is an advanced artificial intelligence model engineered by Meta. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, Llama 4 Maverick represents a key architectural iteration in the Meta model family. First released in 2026-05-25, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance. Featuring an input capacity of 1,048,576 tokens (approximately 1,398 words), Llama 4 Maverick processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.
infoDeveloper Notes (2)expand_more
- Self-hostable via Ollama/Docker — ideal for on-premise deployments
- Requires specific system prompt for optimal function calling reliability
Gemini 3.5 Flash
Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficiency and parallel agentic execution...
infoDeveloper Notes (2)expand_more
- Excellent multimodal performance — native video understanding
- Tool calling via Google's native function_declarations in Vertex AI
Grok 4.20
Grok 4.20 is an advanced artificial intelligence model engineered by xAI. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, Grok 4.20 represents a key architectural iteration in the xAI model family. First released in 2026-05-05, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance. Featuring an input capacity of 2,000,000 tokens (approximately 2,667 words), Grok 4.20 processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.
infoDeveloper Notes (2)expand_more
- Real-time X data access — unparalleled for current events / financial analysis
- Tool calling API is still maturing — test thoroughly for production agentic use
Grok 4.3
Grok 4.3 is a reasoning model from SpaceXAI. It accepts text and image inputs with text output, and is suited for agentic workflows, instruction-following tasks, and applications requiring high factual...
infoDeveloper Notes (2)expand_more
- Strong coding performance — competitive with Claude Sonnet at similar price point
- Upgrade to Grok 4.20 for improved reasoning and tool calling
GPT-5.5 Pro
GPT-5.5 Pro is OpenAI’s high-capability model optimized for deep reasoning and accuracy on complex, high-stakes workloads. It features a 1M+ token context window (922K input, 128K output) with support for...
infoDeveloper Notes (2)expand_more
- Best-in-class instruction following for complex agentic chains
- Premium pricing — use GPT-5 for cost-sensitive workloads
DeepSeek V4 Flash
DeepSeek V4 Flash is an advanced artificial intelligence model engineered by DeepSeek. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, DeepSeek V4 Flash represents a key architectural iteration in the DeepSeek model family. First released in 2026-04-24, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance. Featuring an input capacity of 1,048,576 tokens (approximately 1,398 words), DeepSeek V4 Flash processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.
infoDeveloper Notes (2)expand_more
- Best cost-per-token ratio of any hosted API — ideal for high-throughput pipelines
- Lower agentic performance vs V4 Pro — route complex tool calls accordingly
GPT-5.5
GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token...
infoDeveloper Notes (2)expand_more
- Best for JSON schema adherence — strict mode available via response_format parameter
- Requires explicit tool_choice for deterministic function calling
DeepSeek V4 Pro
DeepSeek V4 Pro is an advanced artificial intelligence model engineered by DeepSeek. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, DeepSeek V4 Pro represents a key architectural iteration in the DeepSeek model family. First released in 2026-04-24, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance. Featuring an input capacity of 1,048,576 tokens (approximately 1,398 words), DeepSeek V4 Pro processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.
infoDeveloper Notes (2)expand_more
- MoE architecture — cold-start latency on first request, use keep-alive
- Best cost-performance ratio of any frontier model — strong tool calling for agentic use
Gemini 3.1 Flash
Gemini 3.1 Flash is an advanced artificial intelligence model engineered by Google. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, Gemini 3.1 Flash represents a key architectural iteration in the Google model family. First released in 2026-04-20, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance. Featuring an input capacity of 1,000,000 tokens (approximately 1,333 words), Gemini 3.1 Flash processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.
infoDeveloper Notes (2)expand_more
- Most cost-effective Google model — ideal for high-volume pipelines
- Context caching available via Vertex AI for repeated document processing
Gemini 3.1 Pro
Gemini 3.1 Pro is an advanced artificial intelligence model engineered by Google. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, Gemini 3.1 Pro represents a key architectural iteration in the Google model family. First released in 2026-04-20, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance. Featuring an input capacity of 2,000,000 tokens (approximately 2,667 words), Gemini 3.1 Pro processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.
infoDeveloper Notes (2)expand_more
- Best model for massive context — 2M token window is class-leading
- Tool calling requires explicit schema definition in Google AI Studio
Claude Opus 4.7
Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on...
infoDeveloper Notes (2)expand_more
- Top-tier agentic coding model — excels at autonomous software engineering
- Requires explicit tool_choice parameter for parallel function calling to work reliably
Claude Sonnet 4.6
Sonnet 4.6 is Anthropic's most capable Sonnet-class model yet, with frontier performance across coding, agents, and professional work. It excels at iterative development, complex codebase navigation, end-to-end project management with...
infoDeveloper Notes (2)expand_more
- Best balance of speed and capability — default for most Claude integrations
- Computer-use (beta) feature enables autonomous UI interaction
Claude Opus 4.6
Opus 4.6 is Anthropic’s strongest model for coding and long-running professional tasks. It is built for agents that operate across entire workflows rather than single prompts, making it especially effective...
infoDeveloper Notes (2)expand_more
- Best for long-context document analysis and legal review
- Tool calling requires structured prompt — prone to verbose refusal without explicit output schema
Doubao Pro
Doubao Pro is an advanced artificial intelligence model engineered by ByteDance. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, Doubao Pro represents a key architectural iteration in the ByteDance model family. First released in 2026-01-15, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance. Featuring an input capacity of 256,000 tokens (approximately 341 words), Doubao Pro processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.
infoDeveloper Notes (2)expand_more
- Massive user base — one of the most deployed Chinese models in production
- API available through Volcano Engine — requires Chinese enterprise registration
Claude Opus 4.5
Claude Opus 4.5 is Anthropic’s frontier reasoning model optimized for complex software engineering, agentic workflows, and long-horizon computer use. It offers strong multimodal capabilities, competitive performance across real-world coding and...
infoDeveloper Notes (2)expand_more
- Deep analytical reasoning — best for structured problem-solving
- 200K context is limiting compared to 1M of Opus 4.6+ — upgrade for long-document tasks
Qwen 2.5-Coder 32B
Qwen 2.5-Coder 32B is an advanced artificial intelligence model engineered by Alibaba. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, Qwen 2.5-Coder 32B represents a key architectural iteration in the Alibaba model family. First released in 2025-11-12, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance. Featuring an input capacity of 131,072 tokens (approximately 175 words), Qwen 2.5-Coder 32B processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.
infoDeveloper Notes (2)expand_more
- Strong code generation across 40+ languages — excellent for multi-language repos
- Available via Alibaba Cloud API or self-hosted
Hunyuan Pro
Hunyuan Pro is an advanced artificial intelligence model engineered by Tencent. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, Hunyuan Pro represents a key architectural iteration in the Tencent model family. First released in 2025-11-01, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance. Featuring an input capacity of 256,000 tokens (approximately 341 words), Hunyuan Pro processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.
infoDeveloper Notes (2)expand_more
- Massive daily inference volume — battle-tested at WeChat scale
- API available through Tencent Cloud — requires Chinese enterprise account
Claude Haiku 4.5
Claude Haiku 4.5 is Anthropic’s fastest and most efficient model, delivering near-frontier intelligence at a fraction of the cost and latency of larger Claude models. Matching Claude Sonnet 4’s performance...
infoDeveloper Notes (2)expand_more
- Fastest TTFT in the Claude lineup — ideal for real-time chat
- Tool calling limited compared to Sonnet — best for simple classification and routing
Yi-Lightning
Yi-Lightning is an advanced artificial intelligence model engineered by 01.AI. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, Yi-Lightning represents a key architectural iteration in the 01.AI model family. First released in 2025-10-01, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance. Featuring an input capacity of 131,072 tokens (approximately 175 words), Yi-Lightning processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.
infoDeveloper Notes (2)expand_more
- Best cost-efficiency for high-volume bilingual applications
- Self-hostable via Ollama — excellent open-weight option for Asian-language pipelines
Claude Sonnet 4.5
Claude Sonnet 4.5 is Anthropic’s most advanced Sonnet model to date, optimized for real-world agents and coding workflows. It delivers state-of-the-art performance on coding benchmarks such as SWE-bench Verified, with...
infoDeveloper Notes (2)expand_more
- Excellent for long-form writing and nuanced document analysis
- Slightly slower than Sonnet 4.6 — upgrade for production agentic use
Qwen 2.5 72B
Qwen 2.5 72B is an advanced artificial intelligence model engineered by Alibaba. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, Qwen 2.5 72B represents a key architectural iteration in the Alibaba model family. First released in 2025-09-19, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance. Featuring an input capacity of 131,072 tokens (approximately 175 words), Qwen 2.5 72B processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.
infoDeveloper Notes (2)expand_more
- Strong bilingual (ZH/EN) performance — best open model for Chinese-language tasks
- Self-hostable via vLLM or Ollama with 4-bit quantization
ERNIE 4.0
ERNIE 4.0 is an advanced artificial intelligence model engineered by Baidu. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, ERNIE 4.0 represents a key architectural iteration in the Baidu model family. First released in 2025-08-30, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance. Featuring an input capacity of 128,000 tokens (approximately 171 words), ERNIE 4.0 processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.
infoDeveloper Notes (2)expand_more
- Superior Chinese-language understanding — best-in-class for China-market applications
- API requires Baidu Cloud account with Chinese phone verification
GPT-5 Mini
GPT-5 Mini is a compact version of GPT-5, designed to handle lighter-weight reasoning tasks. It provides the same instruction-following and safety-tuning benefits as GPT-5, but with reduced latency and cost....
infoDeveloper Notes (2)expand_more
- Excellent for high-frequency classification and routing tasks
- Tool calling reliability drops on complex multi-step chains — use GPT-5 for agentic workflows
GPT-5
GPT-5 is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and accuracy...
infoDeveloper Notes (2)expand_more
- Reliable all-rounder — use as default for most production workflows
- Not recommended for advanced reasoning chains — use o3-mini instead
Mistral Large 2
Mistral Large 2 is an advanced artificial intelligence model engineered by Mistral. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, Mistral Large 2 represents a key architectural iteration in the Mistral model family. First released in 2025-07-24, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance. Featuring an input capacity of 1,048,576 tokens (approximately 1,398 words), Mistral Large 2 processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.
infoDeveloper Notes (2)expand_more
- Excellent European data sovereignty — GDPR-compliant infrastructure
- 1M context window enables full codebase analysis in a single pass
Gemini 2.5 Pro
Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...
infoDeveloper Notes (1)expand_more
- Legacy model — migrate to Gemini 3.1 Pro for better tool calling and lower latency
GPT-4.1
GPT-4.1 is a flagship large language model optimized for advanced instruction following, real-world software engineering, and long-context reasoning. It supports a 1 million token context window and outperforms GPT-4o and...
infoDeveloper Notes (2)expand_more
- Strong tool-calling reliability — good migration path from GPT-4o
- Migrate to GPT-5 for larger context window and improved reasoning
Llama 4 Scout
Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input...
infoDeveloper Notes (2)expand_more
- 10M context causes significant VRAM pressure — recommend 4-bit quantization
- Primarily designed for RAG, not agentic tool calling
Claude 3.5 Sonnet v2
Claude 3.5 Sonnet v2 is an advanced artificial intelligence model engineered by Anthropic. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, Claude 3.5 Sonnet v2 represents a key architectural iteration in the Anthropic model family. First released in 2025-02-15, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance. Featuring an input capacity of 200,000 tokens (approximately 267 words), Claude 3.5 Sonnet v2 processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.
infoDeveloper Notes (2)expand_more
- Well-characterized production behavior — ideal for teams needing stability
- Upgrade to Claude 4.6 Sonnet for 1M context and improved agentic performance
Gemini 2.0 Flash
Gemini 2.0 Flash is an advanced artificial intelligence model engineered by Google. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, Gemini 2.0 Flash represents a key architectural iteration in the Google model family. First released in 2025-02-05, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance. Featuring an input capacity of 1,048,576 tokens (approximately 1,398 words), Gemini 2.0 Flash processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.
infoDeveloper Notes (2)expand_more
- Context caching via Vertex AI — up to 75% cost reduction for repeated prompts
- Legacy model — migrate to Gemini 3.1 Flash for improved accuracy
o3 Mini
o3 Mini is an advanced artificial intelligence model engineered by OpenAI. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, o3 Mini represents a key architectural iteration in the OpenAI model family. First released in 2025-01-31, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance. Featuring an input capacity of 200,000 tokens (approximately 267 words), o3 Mini processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.
infoDeveloper Notes (2)expand_more
- Best cost/performance ratio for reasoning tasks in the OpenAI lineup
- Still slower than GPT-5 for simple tool calls — route accordingly
Mistral Small 3
Mistral Small 3 is a 24B-parameter language model optimized for low-latency performance across common AI tasks. Released under the Apache 2.0 license, it features both pre-trained and instruction-tuned versions designed...
infoDeveloper Notes (2)expand_more
- Fastest TTFT at lowest cost — ideal for high-volume classification
- Not designed for complex reasoning — route multi-step tasks to Mistral Large 3
DeepSeek R1
DeepSeek R1 is an advanced artificial intelligence model engineered by DeepSeek. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, DeepSeek R1 represents a key architectural iteration in the DeepSeek model family. First released in 2025-01-20, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance. Featuring an input capacity of 163,840 tokens (approximately 218 words), DeepSeek R1 processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.
infoDeveloper Notes (2)expand_more
- Reasoning model — not designed for high-frequency tool calling
- Pair with a smaller model (V4 Flash) for routing and use R1 for complex reasoning only
o1
o1 is an advanced artificial intelligence model engineered by OpenAI. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, o1 represents a key architectural iteration in the OpenAI model family. First released in 2024-12-17, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance. Featuring an input capacity of 200,000 tokens (approximately 267 words), o1 processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.
infoDeveloper Notes (3)expand_more
- Reasoning model — high latency by design, not for real-time use
- Best for complex math/code reasoning where accuracy > speed
- Use o3-mini when you need reasoning with lower latency
Mixtral 8x22B
Mixtral 8x22B is an advanced artificial intelligence model engineered by Mistral. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, Mixtral 8x22B represents a key architectural iteration in the Mistral model family. First released in 2024-12-11, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance. Featuring an input capacity of 65,536 tokens (approximately 87 words), Mixtral 8x22B processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.
infoDeveloper Notes (2)expand_more
- MoE architecture — efficient inference for its capability tier
- Requires ~90GB VRAM at FP16 — 4-bit quantization recommended for single-GPU deployment
Llama 3.3 70B Instruct
Llama 3.3 70B Instruct is an advanced artificial intelligence model engineered by Meta. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, Llama 3.3 70B Instruct represents a key architectural iteration in the Meta model family. First released in 2024-12-06, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance. Featuring an input capacity of 131,072 tokens (approximately 175 words), Llama 3.3 70B Instruct processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.
infoDeveloper Notes (2)expand_more
- Stable, well-documented self-hosted option with strong community support
- Outperformed by Llama 4 Maverick for agentic tool-calling workflows
Llama 3.2 11B Vision
Llama 3.2 11B Vision is an advanced artificial intelligence model engineered by Meta. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, Llama 3.2 11B Vision represents a key architectural iteration in the Meta model family. First released in 2024-09-25, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance. Featuring an input capacity of 131,072 tokens (approximately 175 words), Llama 3.2 11B Vision processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.
infoDeveloper Notes (2)expand_more
- Lightweight vision model for edge/on-device deployments
- Limited tool calling — use Llama 4 for production agentic tasks
Mistral Large 3
Mistral Large 3 is an advanced artificial intelligence model engineered by Mistral. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, Mistral Large 3 represents a key architectural iteration in the Mistral model family. First released in 2024-07-24, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance. Featuring an input capacity of 262,144 tokens (approximately 350 words), Mistral Large 3 processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.
infoDeveloper Notes (2)expand_more
- Top-tier structured JSON output — best multilingual function calling
- Le Chat offers free consumer tier with same underlying model
Llama 3.1 8B
Llama 3.1 8B is an advanced artificial intelligence model engineered by Meta. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, Llama 3.1 8B represents a key architectural iteration in the Meta model family. First released in 2024-07-23, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance. Featuring an input capacity of 131,072 tokens (approximately 175 words), Llama 3.1 8B processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.
infoDeveloper Notes (2)expand_more
- Perfect for CPU/edge deployment — runs on Raspberry Pi with quantization
- Limited tool calling vs larger models — best for simple classification and chat
Llama 3.1 405B
Llama 3.1 405B is an advanced artificial intelligence model engineered by Meta. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, Llama 3.1 405B represents a key architectural iteration in the Meta model family. First released in 2024-07-23, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance. Featuring an input capacity of 131,072 tokens (approximately 175 words), Llama 3.1 405B processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.
infoDeveloper Notes (2)expand_more
- Massive model — requires 8× A100 80GB for FP16 inference
- Available via Together AI, Fireworks, and Bedrock as managed API
GPT-4o-mini
GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs. As their most advanced small model, it is many multiples more affordable...
infoDeveloper Notes (2)expand_more
- Ultra-low latency — best TTFT in the OpenAI lineup
- Tool calling limited to single-step — not suitable for complex agentic pipelines
GPT-4o
GPT-4o ("o" for "omni") is OpenAI's latest AI model, supporting both text and image inputs with text outputs. It maintains the intelligence level of [GPT-4 Turbo](/models/openai/gpt-4-turbo) while being twice as...
infoDeveloper Notes (2)expand_more
- Strong multimodal performance — best vision+tool calling combo
- Legacy model — migrate to GPT-5 for latest improvements
Command R+
Command R+ is an advanced artificial intelligence model engineered by Cohere. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, Command R+ represents a key architectural iteration in the Cohere model family. First released in 2024-04-04, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance. Featuring an input capacity of 128,000 tokens (approximately 171 words), Command R+ processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.
infoDeveloper Notes (2)expand_more
- Optimized for RAG workflows — best enterprise document search model
- Tool calling requires explicit step definitions in Cohere's tool-use format
Command R
Command R is an advanced artificial intelligence model engineered by Cohere. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, Command R represents a key architectural iteration in the Cohere model family. First released in 2024-03-11, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance. Featuring an input capacity of 128,000 tokens (approximately 171 words), Command R processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.
infoDeveloper Notes (2)expand_more
- Cost-effective RAG model — strong multilingual search performance
- Limited agentic capability — use Command R+ for complex multi-step tool use
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