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Claude Opus 4.5 vs Mixtral 8x22B Instruct

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 Mixtral 8x22B Instruct.

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

Mixtral 8x22B Instruct

Mistral's official instruct fine-tuned version of [Mixtral 8x22B](/models/mistralai/mixtral-8x22b). It uses 39B active parameters out of 141B, offering unparalleled cost efficiency for its size. Its strengths include: - strong math, coding,...

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Technical Specifications

SpecificationClaude Opus 4.5Mixtral 8x22B Instruct
ProviderAnthropicMistral
Context Window200,000 tokens65,536 tokens
Agent Suitability93/100N/A
Time to First Token (TTFT)550 msN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-11-242024-04-17

API Pricing Comparison

Input Price per Million Tokens

Claude Opus 4.5

$5.00

Mixtral 8x22B Instruct

$2.00

Output Price per Million Tokens

Claude Opus 4.5

$25.00

Mixtral 8x22B Instruct

$6.00

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
Mixtral 8x22B Instruct
HumanEvalPython coding & logic synthesis
9420.0%vsN/A
Claude Opus 4.5
Mixtral 8x22B Instruct
MATHComplex mathematical problem solving
8750.0%vsN/A
Claude Opus 4.5
Mixtral 8x22B Instruct
GPQAGraduate-level expert reasoning
7600.0%vsN/A
Claude Opus 4.5
Mixtral 8x22B Instruct
HellaSwagCommonsense reasoning and inference
9720.0%vsN/A
Claude Opus 4.5
Mixtral 8x22B Instruct
MT-BenchMulti-turn conversation flow quality
955.0%vsN/A
Claude Opus 4.5
Mixtral 8x22B Instruct

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

Mixtral 8x22B Instruct Quirks & Gotchas

No developer gotchas reported.