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Gemini 3.5 Flash

VS
Mistral AI

Mixtral 8x22B v0.1

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

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, Gemini 3.5 Flash is the premium intelligence choice, scoring 55.1% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: Mixtral 8x22B v0.1 is 1.0x cheaper to run. 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 Gemini 3.5 Flash fully justifies the cost.

Model Specs

Gemini 3.5 Flash

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+)
55.1%
Reasoning (gpqa-diamond)Winner (+)
92.2%

Cost & Performance

Cost (per 1M tokens)
$3.38Input: $1.50 | Output: $9.00
Speed1.4x faster
280 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
Speed
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.

Gemini 3.5 Flash is faster than Mixtral 8x22B v0.1. Gemini 3.5 Flash generates 280 tokens per second (tps) compared to Mixtral 8x22B v0.1 which generates 200 tokens per second.

Gemini 3.5 Flash is better for coding tasks. It scores 55.1% on coding evaluations (swe-bench-pro) compared to Mixtral 8x22B v0.1 which scores N/A.

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