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Claude Opus 4.7 vs Mistral Small 3

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.

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

Mistral Small 3 is a 24B-parameter language model optimized for low-latency performance across common AI tasks. Released under the Apache 2.0 license, it features both pre-trained and instruction-tuned versions designed...

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Technical Specifications

SpecificationClaude Opus 4.7Mistral Small 3
ProviderAnthropicMistral
Context Window1,000,000 tokens32,768 tokens
Agent Suitability96/10084/100
Time to First Token (TTFT)480 ms120 ms
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-162025-01-30

API Pricing Comparison

Input Price per Million Tokens

Claude Opus 4.7

$5.00

Mistral Small 3

$0.07

Output Price per Million Tokens

Claude Opus 4.7

$25.00

Mistral Small 3

$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%vs8120.0%
Claude Opus 4.7
Mistral Small 3
HumanEvalPython coding & logic synthesis
9610.0%vs8300.0%
Claude Opus 4.7
Mistral Small 3
MATHComplex mathematical problem solving
9150.0%vs6800.0%
Claude Opus 4.7
Mistral Small 3
GPQAGraduate-level expert reasoning
8420.0%vs4500.0%
Claude Opus 4.7
Mistral Small 3
HellaSwagCommonsense reasoning and inference
9880.0%vs8500.0%
Claude Opus 4.7
Mistral Small 3
MT-BenchMulti-turn conversation flow quality
975.0%vs830.0%
Claude Opus 4.7
Mistral Small 3

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 Quirks & Gotchas

  • โ–ธFastest TTFT at lowest cost โ€” ideal for high-volume classification
  • โ–ธNot designed for complex reasoning โ€” route multi-step tasks to Mistral Large 3