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Gemini 2.0 Flash Thinking vs Pixtral Large

Gemini 2.0 Flash Thinking and Pixtral Large are closely matched at 16.7 and 11.8 on the LLM Stats Score.

Google · Mistral AI · Updated for 2026

Which is better?

Gemini 2.0 Flash Thinking and Pixtral Large are closely matched on the overall LLM Stats Score at 16.7 and 11.8.

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

  • 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 Large

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

At a glance

The differences that matter most.

Core performance indexes
16.7
#225
11.8
#262
17.0
#218
13.1
#246
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
— / M
$2.00 / M
Output price
— / M
$6.00 / M
Context window
—
128,000

Individual benchmarks

3 reported for Gemini 2.0 Flash Thinking · 7 for Pixtral Large

1 shared

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

Gemini 2.0 Flash Thinking significantly outperforms across most benchmarks.

Sun Sep 27 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 Large specifies input context (128,000 tokens). Only Pixtral Large specifies output context (128,000 tokens).

Google
Gemini 2.0 Flash Thinking
Input- tokens
Output- tokens
Mistral AI
Pixtral Large
Input128,000 tokens
Output128,000 tokens
Sun Sep 27 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 2.0 Flash Thinking and Pixtral Large 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 Large

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.0 Flash Thinking is licensed under a proprietary license, while Pixtral Large uses Mistral Research License (MRL) for research; Mistral Commercial License for commercial use.

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 Large

Mistral Research License (MRL) for research; Mistral Commercial License for commercial use

Open weights

Release Timeline

When each model was launched

Gemini 2.0 Flash Thinking was released on 2025-01-21, while Pixtral Large was released on 2024-11-18.

Gemini 2.0 Flash Thinking is 2 months newer than Pixtral Large.

Gemini 2.0 Flash Thinking

Jan 21, 2025

1.7 years ago

2mo newer
Pixtral Large

Nov 18, 2024

1.9 years ago

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash Thinking has a documented knowledge cutoff of 2024-08-01, while Pixtral Large'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 Large's cutoff date.

Gemini 2.0 Flash Thinking

Aug 2024

Pixtral Large

—

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 Large side-by-side, then vote on the output you prefer.

Gemini 2.0 Flash Thinking
✓ Preferred
Pixtral Large
Open in Playground

FAQ

Common questions about Gemini 2.0 Flash Thinking vs Pixtral Large.

Which is better, Gemini 2.0 Flash Thinking or Pixtral Large?

Gemini 2.0 Flash Thinking and Pixtral Large are closely matched on the LLM Stats Score at 16.7 and 11.8. Gemini 2.0 Flash Thinking is made by Google and Pixtral Large 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 Large in benchmarks?

Gemini 2.0 Flash Thinking scores MMMU: 75.4%, GPQA: 74.2%, AIME 2024: 73.3%. Pixtral Large scores AI2D: 93.8%, DocVQA: 93.3%, ChartQA: 88.1%, VQAv2: 80.9%, MM-MT-Bench: 74.0%.

What are the context window sizes for Gemini 2.0 Flash Thinking and Pixtral Large?

Gemini 2.0 Flash Thinking supports an unknown number of tokens and Pixtral Large 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 Large?

Key differences include LLM Stats Score (16.7 vs 11.8), licensing (Proprietary vs Mistral Research License (MRL) for research; Mistral Commercial License for commercial use). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.0 Flash Thinking and Pixtral Large?

Gemini 2.0 Flash Thinking is developed by Google and Pixtral Large is developed by Mistral AI.