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Claude 3 Haiku 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 3 Haiku and Command R.

Anthropic

Claude 3 Haiku

Claude 3 Haiku is Anthropic's fastest and most compact model for near-instant responsiveness. Quick and accurate targeted performance. See the launch announcement and benchmark results [here](https://www.anthropic.com/news/claude-3-haiku) #multimodal

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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 3 HaikuCommand R
ProviderAnthropicCohere
Context Window200,000 tokens128,000 tokens
Agent SuitabilityN/A78/100
Time to First Token (TTFT)N/A200 ms
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-03-132024-03-11

API Pricing Comparison

Input Price per Million Tokens

Claude 3 Haiku

$0.25

Command R

$0.15

Output Price per Million Tokens

Claude 3 Haiku

$1.25

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
7520.0%vs7100.0%
Claude 3 Haiku
Command R
HumanEvalPython coding & logic synthesis
7590.0%vs7300.0%
Claude 3 Haiku
Command R
MATHComplex mathematical problem solving
3890.0%vs5400.0%
Claude 3 Haiku
Command R
GPQAGraduate-level expert reasoning
3200.0%vs3500.0%
Claude 3 Haiku
Command R
HellaSwagCommonsense reasoning and inference
8810.0%vs7800.0%
Claude 3 Haiku
Command R
MT-BenchMulti-turn conversation flow quality
800.0%vs750.0%
Claude 3 Haiku
Command R

Claude 3 Haiku Quirks & Gotchas

No developer gotchas reported.

Command R Quirks & Gotchas

  • โ–ธCost-effective RAG model โ€” strong multilingual search performance
  • โ–ธLimited agentic capability โ€” use Command R+ for complex multi-step tool use