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Gemini 2.0 Flash Thinking vs Mistral Large 2

Gemini 2.0 Flash Thinking leads the LLM Stats Score 16.7 to 7.4.

Google · Mistral AI · Updated for 2026

Which is better?

Gemini 2.0 Flash Thinking leads the overall LLM Stats Score 16.7 to 7.4, ranking #218 overall.

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 want the most recent training data — it shipped Jan 2025

Choose Mistral Large 2

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

At a glance

The differences that matter most.

Gemini 2.0 Flash Thinking
Google
Mistral Large 2
Mistral AI
Core performance indexes
LLM Stats Score
16.7
#218
7.4
#287
Reasoning
17.0
#211
7.3
#280
Cost, coverage & limits
Benchmark wins
—
—
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 · 5 for Mistral Large 2

No common benchmarks found

Gemini 2.0 Flash Thinking and Mistral Large 2don'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

Context Window

Maximum input and output token capacity

Only Mistral Large 2 specifies input context (128,000 tokens). Only Mistral Large 2 specifies output context (128,000 tokens).

Google
Gemini 2.0 Flash Thinking
Input- tokens
Output- tokens
Mistral AI
Mistral Large 2
Input128,000 tokens
Output128,000 tokens
Sat Sep 12 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 2.0 Flash Thinking supports multimodal inputs, whereas Mistral Large 2 does not.

Gemini 2.0 Flash Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 2.0 Flash Thinking

Text
Images
Audio
Video

Mistral Large 2

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.0 Flash Thinking is licensed under a proprietary license, while Mistral Large 2 uses Mistral Research License.

License differences may affect how you can use these models in commercial or open-source projects.

Gemini 2.0 Flash Thinking

Proprietary

Closed source

Mistral Large 2

Mistral Research License

Open weights

Release Timeline

When each model was launched

Gemini 2.0 Flash Thinking was released on 2025-01-21, while Mistral Large 2 was released on 2024-07-24.

Gemini 2.0 Flash Thinking is 6 months newer than Mistral Large 2.

Gemini 2.0 Flash Thinking

Jan 21, 2025

1.6 years ago

6mo newer
Mistral Large 2

Jul 24, 2024

2.1 years ago

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash Thinking has a documented knowledge cutoff of 2024-08-01, while Mistral Large 2'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 Mistral Large 2's cutoff date.

Gemini 2.0 Flash Thinking

Aug 2024

Mistral Large 2

—

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 Mistral Large 2 side-by-side, then vote on the output you prefer.

Gemini 2.0 Flash Thinking
✓ Preferred
Mistral Large 2
Open in Playground

FAQ

Common questions about Gemini 2.0 Flash Thinking vs Mistral Large 2.

Which is better, Gemini 2.0 Flash Thinking or Mistral Large 2?

Gemini 2.0 Flash Thinking leads the LLM Stats Score 16.7 to 7.4. Gemini 2.0 Flash Thinking is made by Google and Mistral Large 2 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 Mistral Large 2 in benchmarks?

Gemini 2.0 Flash Thinking scores MMMU: 75.4%, GPQA: 74.2%, AIME 2024: 73.3%. Mistral Large 2 scores GSM8k: 93.0%, HumanEval: 92.0%, MT-Bench: 86.3%, MMLU: 84.0%, MMLU French: 82.8%.

What are the context window sizes for Gemini 2.0 Flash Thinking and Mistral Large 2?

Gemini 2.0 Flash Thinking supports an unknown number of tokens and Mistral Large 2 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 Mistral Large 2?

Key differences include LLM Stats Score (16.7 vs 7.4), multimodal support (yes vs no), licensing (Proprietary vs Mistral Research License). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.0 Flash Thinking and Mistral Large 2?

Gemini 2.0 Flash Thinking is developed by Google and Mistral Large 2 is developed by Mistral AI.

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