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Claude Opus 4.7 vs Mistral Small 3.2 24B

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 Mistral Small 3.2 24B.

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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Mistral

Mistral Small 3.2 24B

Mistral-Small-3.2-24B-Instruct-2506 is an updated 24B parameter model from Mistral optimized for instruction following, repetition reduction, and improved function calling. Compared to the 3.1 release, version 3.2 significantly improves accuracy on...

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Technical Specifications

SpecificationClaude Opus 4.7Mistral Small 3.2 24B
ProviderAnthropicMistral
Context Window1,000,000 tokens128,000 tokens
Agent Suitability96/100N/A
Time to First Token (TTFT)480 msN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-162025-06-20

API Pricing Comparison

Input Price per Million Tokens

Claude Opus 4.7

$5.00

Mistral Small 3.2 24B

$0.07

Output Price per Million Tokens

Claude Opus 4.7

$25.00

Mistral Small 3.2 24B

$0.20

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
Mistral Small 3.2 24B
HumanEvalPython coding & logic synthesis
9610.0%vsN/A
Claude Opus 4.7
Mistral Small 3.2 24B
MATHComplex mathematical problem solving
9150.0%vsN/A
Claude Opus 4.7
Mistral Small 3.2 24B
GPQAGraduate-level expert reasoning
8420.0%vsN/A
Claude Opus 4.7
Mistral Small 3.2 24B
HellaSwagCommonsense reasoning and inference
9880.0%vsN/A
Claude Opus 4.7
Mistral Small 3.2 24B
MT-BenchMulti-turn conversation flow quality
975.0%vsN/A
Claude Opus 4.7
Mistral Small 3.2 24B

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

Mistral Small 3.2 24B Quirks & Gotchas

No developer gotchas reported.