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Gemini 3.1 Pro

VS
Mistral AI

Mixtral 8x7B v0.1

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

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, Gemini 3.1 Pro is the premium intelligence choice, scoring 54.2% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: Mixtral 8x7B v0.1 is 1.0x cheaper to run and delivers 1.3x faster throughput. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Mixtral 8x7B v0.1 offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of Gemini 3.1 Pro fully justifies the cost.

Model Specs

Gemini 3.1 Pro

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+)
54.2%
Reasoning (gpqa-diamond)Winner (+)
94.3%

Cost & Performance

Cost (per 1M tokens)
$4.50Input: $2.00 | Output: $12.00
Speed
109 tps
Context WindowLarger
1M tokens
Model Specs

Mixtral 8x7B 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
Speed1.3x faster
140 tps
Context Window
32k 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 8x7B v0.1 is faster than Gemini 3.1 Pro. Mixtral 8x7B v0.1 generates 140 tokens per second (tps) compared to Gemini 3.1 Pro which generates 109 tokens per second.

Gemini 3.1 Pro is better for coding tasks. It scores 54.2% on coding evaluations (swe-bench-pro) compared to Mixtral 8x7B v0.1 which scores N/A.

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