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Claude Opus 4.8 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 4.8 and Mistral Small 3.2 24B.

Anthropic

Claude Opus 4.8

Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token...

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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 4.8Mistral Small 3.2 24B
ProviderAnthropicMistral
Context Window1,000,000 tokens128,000 tokens
Agent Suitability97/100N/A
Time to First Token (TTFT)520 msN/A
Deployment Modelmanaged apiself hostable
Production Stabilitybetastable
API AvailableYesYes
Released Date2026-05-272025-06-20

API Pricing Comparison

Input Price per Million Tokens

Claude Opus 4.8

$5.00

Mistral Small 3.2 24B

$0.07

Output Price per Million Tokens

Claude Opus 4.8

$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
9540.0%vsN/A
Claude Opus 4.8
Mistral Small 3.2 24B
HumanEvalPython coding & logic synthesis
9720.0%vsN/A
Claude Opus 4.8
Mistral Small 3.2 24B
MATHComplex mathematical problem solving
9410.0%vsN/A
Claude Opus 4.8
Mistral Small 3.2 24B
GPQAGraduate-level expert reasoning
8650.0%vsN/A
Claude Opus 4.8
Mistral Small 3.2 24B
HellaSwagCommonsense reasoning and inference
9920.0%vsN/A
Claude Opus 4.8
Mistral Small 3.2 24B
MT-BenchMulti-turn conversation flow quality
980.0%vsN/A
Claude Opus 4.8
Mistral Small 3.2 24B

Claude Opus 4.8 Quirks & Gotchas

  • โ–ธBest-in-class for autonomous code repair and multi-agent orchestration
  • โ–ธPreview model โ€” API may introduce breaking changes without notice

Mistral Small 3.2 24B Quirks & Gotchas

No developer gotchas reported.