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Claude Opus 4.7 vs Command R (08-2024)

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 Opus 4.7 and Command R (08-2024).

Anthropic

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...

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Cohere

Command R (08-2024)

command-r-08-2024 is an update of the [Command R](/models/cohere/command-r) with improved performance for multilingual retrieval-augmented generation (RAG) and tool use. More broadly, it is better at math, code and reasoning and...

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Technical Specifications

SpecificationClaude Opus 4.7Command R (08-2024)
ProviderAnthropicCohere
Context Window1,000,000 tokens128,000 tokens
Agent Suitability96/100N/A
Time to First Token (TTFT)480 msN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-162024-08-30

API Pricing Comparison

Input Price per Million Tokens

Claude Opus 4.7

$5.00

Command R (08-2024)

$0.15

Output Price per Million Tokens

Claude Opus 4.7

$25.00

Command R (08-2024)

$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
9410.0%vsN/A
Claude Opus 4.7
Command R (08-2024)
HumanEvalPython coding & logic synthesis
9610.0%vsN/A
Claude Opus 4.7
Command R (08-2024)
MATHComplex mathematical problem solving
9150.0%vsN/A
Claude Opus 4.7
Command R (08-2024)
GPQAGraduate-level expert reasoning
8420.0%vsN/A
Claude Opus 4.7
Command R (08-2024)
HellaSwagCommonsense reasoning and inference
9880.0%vsN/A
Claude Opus 4.7
Command R (08-2024)
MT-BenchMulti-turn conversation flow quality
975.0%vsN/A
Claude Opus 4.7
Command R (08-2024)

Claude Opus 4.7 Quirks & Gotchas

  • โ–ธTop-tier agentic coding model โ€” excels at autonomous software engineering
  • โ–ธRequires explicit tool_choice parameter for parallel function calling to work reliably

Command R (08-2024) Quirks & Gotchas

No developer gotchas reported.