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Gemini 2.0 Flash-Lite vs Mistral Large 3 (675B Base)

Both models are evenly matched across the benchmarks.

Google · Mistral AI · Updated for 2026

Which is better?

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

Based on current benchmark, pricing, and model metadata for 2026.

Choose Gemini 2.0 Flash-Lite

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

Choose Mistral Large 3 (675B Base)

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

At a glance

The differences that matter most.

Gemini 2.0 Flash-Lite
Google
Mistral Large 3 (675B Base)
Mistral AI
Benchmark wins
1 of 2
1 of 2
Input price
$0.07 / M
— / M
Output price
$0.30 / M
— / M
Context window
1,048,576
—
Released
Feb 2025
Dec 2025
License
Proprietary
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

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

Both models are evenly matched across the benchmarks.

Mon Aug 24 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

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 Base)
Input- tokens
Output- tokens
Mon Aug 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 2.0 Flash-Lite and Mistral Large 3 (675B Base) 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 Base)

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 Base) 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 Base)

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 Base) was released on 2025-12-04.

Mistral Large 3 (675B Base) 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 Base)

Dec 4, 2025

8 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 Base)'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 Base)'s cutoff date.

Gemini 2.0 Flash-Lite

Jun 2024

Mistral Large 3 (675B Base)

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

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

Gemini 2.0 Flash-Lite
✓ Preferred
Mistral Large 3 (675B Base)
Open in Playground

FAQ

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

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

Both models are evenly matched across the benchmarks. Gemini 2.0 Flash-Lite is made by Google and Mistral Large 3 (675B Base) 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 Base) 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 Base) 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 Base)?

Gemini 2.0 Flash-Lite supports 1.0M tokens and Mistral Large 3 (675B Base) 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 Base)?

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 Base)?

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

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