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Claude Opus Latest 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 Opus Latest and Command R+.

Anthropic

Claude Opus Latest

This model always redirects to the latest model in the Claude Opus family.

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Cohere

Command R+

Cohere's enterprise-optimized model built for advanced Retrieval-Augmented Generation (RAG) and multi-step tool use. Highly effective for multilingual business processes.

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Technical Specifications

SpecificationClaude Opus LatestCommand R+
ProviderAnthropicCohere
Context Window1,000,000 tokens128,000 tokens
Agent SuitabilityN/A86/100
Time to First Token (TTFT)N/A350 ms
Deployment Modelmanaged apimanaged api
Production Stabilitybetastable
API AvailableYesYes
Released Date2026-04-212024-04-04

API Pricing Comparison

Input Price per Million Tokens

Claude Opus Latest

$5.00

Command R+

$2.50

Output Price per Million Tokens

Claude Opus Latest

$25.00

Command R+

$10.00

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
N/Avs7570.0%
Claude Opus Latest
Command R+
HumanEvalPython coding & logic synthesis
N/Avs7800.0%
Claude Opus Latest
Command R+
MATHComplex mathematical problem solving
N/Avs6200.0%
Claude Opus Latest
Command R+
GPQAGraduate-level expert reasoning
N/Avs4200.0%
Claude Opus Latest
Command R+
HellaSwagCommonsense reasoning and inference
N/Avs8250.0%
Claude Opus Latest
Command R+
MT-BenchMulti-turn conversation flow quality
N/Avs800.0%
Claude Opus Latest
Command R+

Claude Opus Latest Quirks & Gotchas

No developer gotchas reported.

Command R+ Quirks & Gotchas

  • โ–ธOptimized for RAG workflows โ€” best enterprise document search model
  • โ–ธTool calling requires explicit step definitions in Cohere's tool-use format