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Claude Sonnet 4.5 vs Command R

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Claude Sonnet 4.5 and Command R.

Anthropic

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...

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Cohere

Command R

Command R is Cohere's lightweight, cost-efficient model engineered for high-speed enterprise integrations, productivity automation, and retrieval-augmented generation (RAG) pipelines. Optimized for low-latency API tool use and structured JSON output, it is particularly effective in enterprise search and question-answering systems where fast, reliable responses are critical. With a 128,000-token context window and a price of $0.15/MTok for input, Command R provides strong RAG performance and multilingual support at a fraction of the cost of Command R+, making it the preferred choice for teams scaling intelligent document retrieval at high request volumes.

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Technical Specifications

SpecificationClaude Sonnet 4.5Command R
ProviderAnthropicCohere
Context Window1,000,000 tokens128,000 tokens
Agent Suitability91/10078/100
Time to First Token (TTFT)380 ms200 ms
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-09-292024-03-11

API Pricing Comparison

Input Price per Million Tokens

Claude Sonnet 4.5

$3.00

Command R

$0.15

Output Price per Million Tokens

Claude Sonnet 4.5

$15.00

Command R

$0.60

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
8950.0%vs7100.0%
Claude Sonnet 4.5
Command R
HumanEvalPython coding & logic synthesis
9280.0%vs7300.0%
Claude Sonnet 4.5
Command R
MATHComplex mathematical problem solving
8000.0%vs5400.0%
Claude Sonnet 4.5
Command R
GPQAGraduate-level expert reasoning
6250.0%vs3500.0%
Claude Sonnet 4.5
Command R
HellaSwagCommonsense reasoning and inference
9580.0%vs7800.0%
Claude Sonnet 4.5
Command R
MT-BenchMulti-turn conversation flow quality
930.0%vs750.0%
Claude Sonnet 4.5
Command R

Claude Sonnet 4.5 Quirks & Gotchas

  • Excellent for long-form writing and nuanced document analysis
  • Slightly slower than Sonnet 4.6 — upgrade for production agentic use

Command R Quirks & Gotchas

  • Cost-effective RAG model — strong multilingual search performance
  • Limited agentic capability — use Command R+ for complex multi-step tool use