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Gemma 4 12B

VS
Mistral AI

Mixtral 8x22B v0.1

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

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, Gemma 4 12B is the premium intelligence choice, scoring 0.0% higher on coding benchmarks. However, Mixtral 8x22B v0.1 compensates by delivering 1.0x 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 Gemma 4 12B fully justifies the cost.

Model Specs

Gemma 4 12B

Benchmarks & Scores

Coding (swe-bench-pro)
N/A
Reasoning (gpqa-diamond)Winner (+)
78.8%

Cost & Performance

Cost (per 1M tokens)
N/AInput: N/A | Output: N/A
Speed
N/A
Context WindowLarger
262.14k 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.

Speed data is not available for Gemma 4 12B, while Mixtral 8x22B v0.1 generates 200 tokens per second.

Coding benchmark scores are not currently recorded for these models.

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