← Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

Claude Opus 4.5 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 4.5 and Mistral Small 3.

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...

View Full Specs
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...

View Full Specs

Technical Specifications

SpecificationClaude Opus 4.5Mistral Small 3
ProviderAnthropicMistral
Context Window200,000 tokens32,768 tokens
Agent Suitability93/10084/100
Time to First Token (TTFT)550 ms120 ms
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-11-242025-01-30

API Pricing Comparison

Input Price per Million Tokens

Claude Opus 4.5

$5.00

Mistral Small 3

$0.07

Output Price per Million Tokens

Claude Opus 4.5

$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
9280.0%vs8120.0%
Claude Opus 4.5
Mistral Small 3
HumanEvalPython coding & logic synthesis
9420.0%vs8300.0%
Claude Opus 4.5
Mistral Small 3
MATHComplex mathematical problem solving
8750.0%vs6800.0%
Claude Opus 4.5
Mistral Small 3
GPQAGraduate-level expert reasoning
7600.0%vs4500.0%
Claude Opus 4.5
Mistral Small 3
HellaSwagCommonsense reasoning and inference
9720.0%vs8500.0%
Claude Opus 4.5
Mistral Small 3
MT-BenchMulti-turn conversation flow quality
955.0%vs830.0%
Claude Opus 4.5
Mistral Small 3

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 Quirks & Gotchas

  • Fastest TTFT at lowest cost — ideal for high-volume classification
  • Not designed for complex reasoning — route multi-step tasks to Mistral Large 3