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Claude Opus 4.5 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 4.5 and Mistral Small 3.2 24B.

Anthropic

Claude Opus 4.5

Claude Opus 4.5 is Anthropic’s frontier reasoning model optimized for complex software engineering, agentic workflows, and long-horizon computer use. It offers strong multimodal capabilities, competitive performance across real-world coding and...

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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 4.5Mistral Small 3.2 24B
ProviderAnthropicMistral
Context Window200,000 tokens128,000 tokens
Agent Suitability93/100N/A
Time to First Token (TTFT)550 msN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-11-242025-06-20

API Pricing Comparison

Input Price per Million Tokens

Claude Opus 4.5

$5.00

Mistral Small 3.2 24B

$0.07

Output Price per Million Tokens

Claude Opus 4.5

$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
9280.0%vsN/A
Claude Opus 4.5
Mistral Small 3.2 24B
HumanEvalPython coding & logic synthesis
9420.0%vsN/A
Claude Opus 4.5
Mistral Small 3.2 24B
MATHComplex mathematical problem solving
8750.0%vsN/A
Claude Opus 4.5
Mistral Small 3.2 24B
GPQAGraduate-level expert reasoning
7600.0%vsN/A
Claude Opus 4.5
Mistral Small 3.2 24B
HellaSwagCommonsense reasoning and inference
9720.0%vsN/A
Claude Opus 4.5
Mistral Small 3.2 24B
MT-BenchMulti-turn conversation flow quality
955.0%vsN/A
Claude Opus 4.5
Mistral Small 3.2 24B

Claude Opus 4.5 Quirks & Gotchas

  • Deep analytical reasoning — best for structured problem-solving
  • 200K context is limiting compared to 1M of Opus 4.6+ — upgrade for long-document tasks

Mistral Small 3.2 24B Quirks & Gotchas

No developer gotchas reported.