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Gemini 2.0 Flash Thinking vs Pixtral-12B

Gemini 2.0 Flash Thinking leads the LLM Stats Score 16.7 to -1.6.

Google · Mistral AI · Updated for 2026

Which is better?

Gemini 2.0 Flash Thinking leads the overall LLM Stats Score 16.7 to -1.6, ranking #218 overall.

In the 1 individual benchmarks reported for both models, Gemini 2.0 Flash Thinking wins 1; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemini 2.0 Flash Thinking

  • overall performance matters — it scores 16.7 and ranks #218 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Jan 2025

Choose Pixtral-12B

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
16.7
#218
-1.6
#335
17.0
#211
-3.8
#337
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
— / M
$0.15 / M
Output price
— / M
$0.15 / M
Context window
128,000

Individual benchmarks

3 reported for Gemini 2.0 Flash Thinking · 12 for Pixtral-12B

1 shared

Gemini 2.0 Flash Thinking outperforms in 1 benchmarks (MMMU), while Pixtral-12B is better at 0 benchmarks.

Gemini 2.0 Flash Thinking significantly outperforms across most benchmarks.

Tue Sep 15 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Pixtral-12B specifies input context (128,000 tokens). Only Pixtral-12B specifies output context (8,192 tokens).

Google
Gemini 2.0 Flash Thinking
Input- tokens
Output- tokens
Mistral AI
Pixtral-12B
Input128,000 tokens
Output8,192 tokens
Tue Sep 15 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 2.0 Flash Thinking and Pixtral-12B support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemini 2.0 Flash Thinking

Text
Images
Audio
Video

Pixtral-12B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.0 Flash Thinking 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 Thinking

Proprietary

Closed source

Pixtral-12B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 2.0 Flash Thinking was released on 2025-01-21, while Pixtral-12B was released on 2024-09-17.

Gemini 2.0 Flash Thinking is 4 months newer than Pixtral-12B.

Gemini 2.0 Flash Thinking

Jan 21, 2025

1.6 years ago

4mo newer
Pixtral-12B

Sep 17, 2024

2.0 years ago

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash Thinking 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 Thinking's training data extends to 2024-08-01, but cannot make a direct comparison without Pixtral-12B's cutoff date.

Gemini 2.0 Flash Thinking

Aug 2024

Pixtral-12B

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Gemini 2.0 Flash Thinking and Pixtral-12B side-by-side, then vote on the output you prefer.

Gemini 2.0 Flash Thinking
✓ Preferred
Pixtral-12B
Open in Playground

FAQ

Common questions about Gemini 2.0 Flash Thinking vs Pixtral-12B.

Which is better, Gemini 2.0 Flash Thinking or Pixtral-12B?

Gemini 2.0 Flash Thinking leads the LLM Stats Score 16.7 to -1.6. Gemini 2.0 Flash Thinking is made by Google and Pixtral-12B is made by Mistral AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemini 2.0 Flash Thinking compare to Pixtral-12B in benchmarks?

Gemini 2.0 Flash Thinking scores MMMU: 75.4%, GPQA: 74.2%, AIME 2024: 73.3%. Pixtral-12B scores DocVQA: 90.7%, ChartQA: 81.8%, VQAv2: 78.6%, MT-Bench: 76.8%, HumanEval: 72.0%.

What are the context window sizes for Gemini 2.0 Flash Thinking and Pixtral-12B?

Gemini 2.0 Flash Thinking supports an unknown number of tokens and Pixtral-12B supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 2.0 Flash Thinking and Pixtral-12B?

Key differences include LLM Stats Score (16.7 vs -1.6), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.0 Flash Thinking and Pixtral-12B?

Gemini 2.0 Flash Thinking is developed by Google and Pixtral-12B is developed by Mistral AI.