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Gemini 2.0 Flash Thinking vs Mistral Large 4

Mistral Large 4 leads the LLM Stats Score 46.4 to 16.7.

Google · Mistral AI · Updated for 2026

Which is better?

Mistral Large 4 leads the overall LLM Stats Score 46.4 to 16.7, ranking #32 overall.

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

Choose Gemini 2.0 Flash Thinking

  • you are already invested in the Google ecosystem

Choose Mistral Large 4

  • overall performance matters — it scores 46.4 and ranks #32 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Gemini 2.0 Flash Thinking
Google
Mistral Large 4
Mistral AI
Core performance indexes
LLM Stats Score
16.7
#232
46.4
#32
Reasoning
17.0
#225
44.1
#41
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.68 / M
Output price
— / M
$2.09 / M
Context window
—
1,000,000

Individual benchmarks

3 reported for Gemini 2.0 Flash Thinking · 15 for Mistral Large 4

No common benchmarks found

Gemini 2.0 Flash Thinking and Mistral Large 4don'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 4 specifies input context (1,000,000 tokens).

Google
Gemini 2.0 Flash Thinking
Input- tokens
Output- tokens
Mistral AI
Mistral Large 4
Input1,000,000 tokens
Output- tokens
Wed Oct 07 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 2.0 Flash Thinking and Mistral Large 4 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

Mistral Large 4

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Gemini 2.0 Flash Thinking

Proprietary

Closed source

Mistral Large 4

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 2.0 Flash Thinking was released on 2025-01-21, while Mistral Large 4 was released on 2026-10-06.

Mistral Large 4 is 21 months newer than Gemini 2.0 Flash Thinking.

Gemini 2.0 Flash Thinking

Jan 21, 2025

1.7 years ago

Mistral Large 4

Oct 6, 2026

1 days ago

1.7yr newer

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash Thinking has a documented knowledge cutoff of 2024-08-01, while Mistral Large 4'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 4's cutoff date.

Gemini 2.0 Flash Thinking

Aug 2024

Mistral Large 4

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Gemini 2.0 Flash Thinking and Mistral Large 4 side-by-side, then vote on the output you prefer.

Gemini 2.0 Flash Thinking
✓ Preferred
Mistral Large 4
Open in Playground

FAQ

Common questions about Gemini 2.0 Flash Thinking vs Mistral Large 4.

Which is better, Gemini 2.0 Flash Thinking or Mistral Large 4?

Mistral Large 4 leads the LLM Stats Score 46.4 to 16.7. Gemini 2.0 Flash Thinking is made by Google and Mistral Large 4 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 4 in benchmarks?

Gemini 2.0 Flash Thinking scores MMMU: 75.4%, GPQA: 74.2%, AIME 2024: 73.3%. Mistral Large 4 scores CyBench: 93.0%, SciCode: 91.8%, CyberGym: 82.0%, Finch (FinWorkBench): 67.4%, ChartQAPro: 63.1%.

What are the context window sizes for Gemini 2.0 Flash Thinking and Mistral Large 4?

Gemini 2.0 Flash Thinking supports an unknown number of tokens and Mistral Large 4 supports 1.0M 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 4?

Key differences include LLM Stats Score (16.7 vs 46.4). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.0 Flash Thinking and Mistral Large 4?

Gemini 2.0 Flash Thinking is developed by Google and Mistral Large 4 is developed by Mistral AI.

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