Model Comparison

Gemini 2.0 Flash-Lite vs Mistral Large 3 (675B Instruct 2512 NVFP4)Which is better in 2026?

Both models are evenly matched across the benchmarks.

Verdict: Gemini 2.0 Flash-Lite vs Mistral Large 3 (675B Instruct 2512 NVFP4) — which is better?

Gemini 2.0 Flash-Lite (by Google) and Mistral Large 3 (675B Instruct 2512 NVFP4) (by Mistral AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Gemini 2.0 Flash-Lite outperforms in 1 benchmarks (GPQA), while Mistral Large 3 (675B Instruct 2512 NVFP4) is better at 1 benchmark (SimpleQA). Both models are evenly matched across the benchmarks.

Choose Gemini 2.0 Flash-Lite if…

  • you want predictable pricing at $0.07/M input and $0.30/M output

Choose Mistral Large 3 (675B Instruct 2512 NVFP4) if…

  • you want the most recent training data — it shipped Dec 2025
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemini 2.0 Flash-Lite outperforms in 1 benchmarks (GPQA), while Mistral Large 3 (675B Instruct 2512 NVFP4) is better at 1 benchmark (SimpleQA).

Both models are evenly matched across the benchmarks.

Tue Jul 28 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

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

Google
Gemini 2.0 Flash-Lite
Input1,048,576 tokens
Output8,192 tokens
Mistral AI
Mistral Large 3 (675B Instruct 2512 NVFP4)
Input- tokens
Output- tokens
Tue Jul 28 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 2.0 Flash-Lite and Mistral Large 3 (675B Instruct 2512 NVFP4) support multimodal inputs.

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

Gemini 2.0 Flash-Lite

Text
Images
Audio
Video

Mistral Large 3 (675B Instruct 2512 NVFP4)

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.0 Flash-Lite is licensed under a proprietary license, while Mistral Large 3 (675B Instruct 2512 NVFP4) uses Apache 2.0.

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

Gemini 2.0 Flash-Lite

Proprietary

Closed source

Mistral Large 3 (675B Instruct 2512 NVFP4)

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 2.0 Flash-Lite was released on 2025-02-05, while Mistral Large 3 (675B Instruct 2512 NVFP4) was released on 2025-12-04.

Mistral Large 3 (675B Instruct 2512 NVFP4) is 10 months newer than Gemini 2.0 Flash-Lite.

Gemini 2.0 Flash-Lite

Feb 5, 2025

1.5 years ago

Mistral Large 3 (675B Instruct 2512 NVFP4)

Dec 4, 2025

7 months ago

10mo newer

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash-Lite has a documented knowledge cutoff of 2024-06-01, while Mistral Large 3 (675B Instruct 2512 NVFP4)'s cutoff date is not specified.

We can confirm Gemini 2.0 Flash-Lite's training data extends to 2024-06-01, but cannot make a direct comparison without Mistral Large 3 (675B Instruct 2512 NVFP4)'s cutoff date.

Gemini 2.0 Flash-Lite

Jun 2024

Mistral Large 3 (675B Instruct 2512 NVFP4)

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Larger context window (1,048,576 tokens)
Higher GPQA score (51.5% vs 43.9%)
Mistral AI
Has open weights
Higher SimpleQA score (23.8% vs 21.7%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemini 2.0 Flash-Lite and Mistral Large 3 (675B Instruct 2512 NVFP4) side-by-side, then vote on the output you prefer.

Gemini 2.0 Flash-Lite
✓ Preferred
Mistral Large 3 (675B Instruct 2512 NVFP4)
Open in Playground
AI Model Comparison Table
Feature
Google
Gemini 2.0 Flash-Lite
Mistral AI
Mistral Large 3 (675B Instruct 2512 NVFP4)

FAQ

Common questions about Gemini 2.0 Flash-Lite vs Mistral Large 3 (675B Instruct 2512 NVFP4).

Which is better, Gemini 2.0 Flash-Lite or Mistral Large 3 (675B Instruct 2512 NVFP4)?

Both models are evenly matched across the benchmarks. Gemini 2.0 Flash-Lite is made by Google and Mistral Large 3 (675B Instruct 2512 NVFP4) is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 2.0 Flash-Lite compare to Mistral Large 3 (675B Instruct 2512 NVFP4) in benchmarks?

Gemini 2.0 Flash-Lite scores MATH: 86.8%, FACTS Grounding: 83.6%, Global-MMLU-Lite: 78.2%, MMLU-Pro: 71.6%, MMMU: 68.0%. Mistral Large 3 (675B Instruct 2512 NVFP4) scores MMMLU: 85.5%, AMC_2022_23: 52.0%, GPQA: 43.9%, LiveCodeBench: 34.4%, SimpleQA: 23.8%.

What are the context window sizes for Gemini 2.0 Flash-Lite and Mistral Large 3 (675B Instruct 2512 NVFP4)?

Gemini 2.0 Flash-Lite supports 1.0M tokens and Mistral Large 3 (675B Instruct 2512 NVFP4) supports an unknown number of 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-Lite and Mistral Large 3 (675B Instruct 2512 NVFP4)?

Key differences include licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.0 Flash-Lite and Mistral Large 3 (675B Instruct 2512 NVFP4)?

Gemini 2.0 Flash-Lite is developed by Google and Mistral Large 3 (675B Instruct 2512 NVFP4) is developed by Mistral AI.

Related comparisons