Gemini 2.0 Flash vs Pixtral-12B
Gemini 2.0 Flash leads the LLM Stats Score 16.6 to -1.4. Pixtral-12B is 1.2x cheaper per token.
Google · Mistral AI · Updated for 2026
Which is better?
Gemini 2.0 Flash leads the overall LLM Stats Score 16.6 to -1.4, ranking #209 overall.
In the 2 individual benchmarks reported for both models, Gemini 2.0 Flash wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Pixtral-12B is roughly 1.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 2.0 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 2.0 Flash
- overall performance matters — it scores 16.6 and ranks #209 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Dec 2024
Choose Pixtral-12B
- cost matters — it's about 1.2x 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 2.0 Flash · 12 for Pixtral-12B
Gemini 2.0 Flash outperforms in 2 benchmarks (MATH, MMMU), while Pixtral-12B is better at 0 benchmarks.
Gemini 2.0 Flash significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 2.0 Flash ($0.10/1M tokens) is 1.5x cheaper than Pixtral-12B ($0.15/1M tokens).
For output processing, Gemini 2.0 Flash ($0.40/1M tokens) is 2.7x more expensive than Pixtral-12B ($0.15/1M tokens).
In conclusion, Gemini 2.0 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 2.0 Flash accepts 1,048,576 input tokens compared to Pixtral-12B's 128,000 tokens. Both models can generate responses up to 8,192 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemini 2.0 Flash and Pixtral-12B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 2.0 Flash
Pixtral-12B
License
Usage and distribution terms
Gemini 2.0 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 2.0 Flash was released on 2024-12-01, while Pixtral-12B was released on 2024-09-17.
Gemini 2.0 Flash is 3 months newer than Pixtral-12B.
Dec 1, 2024
1.8 years ago
2mo newerSep 17, 2024
2.0 years ago
Knowledge Cutoff
When training data ends
Gemini 2.0 Flash has a documented knowledge cutoff of 2024-08-01, while Pixtral-12B's cutoff date is not specified.
We can confirm Gemini 2.0 Flash's training data extends to 2024-08-01, but cannot make a direct comparison without Pixtral-12B's cutoff date.
Aug 2024
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Provider Availability
Gemini 2.0 Flash is available from Google. Pixtral-12B is available from Mistral AI.
Gemini 2.0 Flash
Pixtral-12B
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 2.0 Flash and Pixtral-12B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 2.0 Flash vs Pixtral-12B.