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Anthropic

Claude Opus 4.7

VS
Mistral AI

Mixtral 8x22B v0.1

✍️ Analysis by:the whichllmmodel Editorial Team|📅 Updated: June 2026

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, Claude Opus 4.7 is the premium intelligence choice, scoring 64.3% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: Mixtral 8x22B v0.1 is 1.0x cheaper to run and delivers 4.2x faster throughput. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Mixtral 8x22B v0.1 offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of Claude Opus 4.7 fully justifies the cost.

Model Specs

Claude Opus 4.7

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+)
64.3%
Reasoning (gpqa-diamond)Winner (+)
94.2%

Cost & Performance

Cost (per 1M tokens)
$10.00Input: $5.00 | Output: $25.00
Speed
48.1 tps
Context WindowLarger
1M tokens
Model Specs

Mixtral 8x22B v0.1

Benchmarks & Scores

Coding (swe-bench-pro)
N/A
Reasoning (gpqa-diamond)
N/A

Cost & Performance

Cost (per 1M tokens)
N/AInput: N/A | Output: N/A
Speed4.2x faster
200 tps
Context Window
65.54k tokens
Read our data collection methodology

Frequently Asked Questions

Pricing data is currently unavailable for one or both of these models, so a direct cost comparison cannot be determined.

Mixtral 8x22B v0.1 is faster than Claude Opus 4.7. Mixtral 8x22B v0.1 generates 200 tokens per second (tps) compared to Claude Opus 4.7 which generates 48.1 tokens per second.

Claude Opus 4.7 is better for coding tasks. It scores 64.3% on coding evaluations (swe-bench-pro) compared to Mixtral 8x22B v0.1 which scores N/A.

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