Model Comparison

Gemini 2.0 Flash vs Pixtral-12B

Gemini 2.0 Flash significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

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.

Tue Apr 07 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Tue Apr 07 2026 • llm-stats.com
Google
Gemini 2.0 Flash
Input tokens$0.10
Output tokens$0.40
Best providerGoogle
Mistral AI
Pixtral-12B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Context Window

Maximum input and output token capacity

Only Gemini 2.0 Flash specifies input context (1,048,576 tokens). Only Gemini 2.0 Flash specifies output context (8,192 tokens).

Google
Gemini 2.0 Flash
Input1,048,576 tokens
Output8,192 tokens
Mistral AI
Pixtral-12B
Input- tokens
Output- tokens
Tue Apr 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

Text
Images
Audio
Video

Pixtral-12B

Text
Images
Audio
Video

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.

Gemini 2.0 Flash

Proprietary

Closed source

Pixtral-12B

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.

Gemini 2.0 Flash

Dec 1, 2024

1.3 years ago

2mo newer
Pixtral-12B

Sep 17, 2024

1.6 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.

Gemini 2.0 Flash

Aug 2024

Pixtral-12B

—

Outputs Comparison

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Key Takeaways

Google
Larger context window (1,048,576 tokens)
Higher MATH score (89.7% vs 48.1%)
Higher MMMU score (70.7% vs 52.5%)
Mistral AI
Has open weights
GoogleGemini 2.0 Flash
Mistral AIPixtral-12B
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Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 2.0 Flash
Mistral AI
Pixtral-12B

FAQ

Common questions about Gemini 2.0 Flash vs Pixtral-12B

Gemini 2.0 Flash significantly outperforms across most benchmarks. Gemini 2.0 Flash is made by Google and Pixtral-12B is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemini 2.0 Flash scores Natural2Code: 92.9%, MATH: 89.7%, FACTS Grounding: 83.6%, MMLU-Pro: 76.4%, EgoSchema: 71.5%. Pixtral-12B scores DocVQA: 90.7%, ChartQA: 81.8%, VQAv2: 78.6%, MT-Bench: 76.8%, HumanEval: 72.0%.
Gemini 2.0 Flash supports 1.0M tokens and Pixtral-12B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Gemini 2.0 Flash is developed by Google and Pixtral-12B is developed by Mistral AI.