Gemini 3.8 Flash vs Pixtral-12B
Gemini 3.8 Flash leads the LLM Stats Score 51.8 to -1.4. Pixtral-12B is 10.0x cheaper per token.
Google · Mistral AI · Updated for 2026
Which is better?
Gemini 3.8 Flash leads the overall LLM Stats Score 51.8 to -1.4, ranking #11 overall.
On price, Pixtral-12B is roughly 10.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 3.8 Flash also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Gemini 3.8 Flash
- overall performance matters — it scores 51.8 and ranks #11 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Sep 2026
Choose Pixtral-12B
- cost matters — it's about 10.0x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
13 reported for Gemini 3.8 Flash · 12 for Pixtral-12B
Gemini 3.8 Flash and Pixtral-12Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 3.8 Flash ($0.75/1M tokens) is 5.0x more expensive than Pixtral-12B ($0.15/1M tokens).
For output processing, Gemini 3.8 Flash ($3.75/1M tokens) is 25.0x more expensive than Pixtral-12B ($0.15/1M tokens).
In conclusion, Gemini 3.8 Flash is more expensive than Pixtral-12B.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 3.8 Flash accepts 1,048,576 input tokens compared to Pixtral-12B's 128,000 tokens. Gemini 3.8 Flash can generate longer responses up to 65,536 tokens, while Pixtral-12B is limited to 8,192 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemini 3.8 Flash and Pixtral-12B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 3.8 Flash
Pixtral-12B
License
Usage and distribution terms
Gemini 3.8 Flash is licensed under a proprietary license, while Pixtral-12B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
Gemini 3.8 Flash was released on 2026-09-02, while Pixtral-12B was released on 2024-09-17.
Gemini 3.8 Flash is 24 months newer than Pixtral-12B.
Sep 2, 2026
0 days ago
2.0yr newerSep 17, 2024
2.0 years ago
Knowledge Cutoff
When training data ends
Gemini 3.8 Flash has a documented knowledge cutoff of 2026-03-31, while Pixtral-12B's cutoff date is not specified.
We can confirm Gemini 3.8 Flash's training data extends to 2026-03-31, but cannot make a direct comparison without Pixtral-12B's cutoff date.
Mar 2026
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Provider Availability
Gemini 3.8 Flash is available from Google. Pixtral-12B is available from Mistral AI.
Gemini 3.8 Flash
Pixtral-12B
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 3.8 Flash and Pixtral-12B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 3.8 Flash vs Pixtral-12B.