Model Comparison

Gemini 3.5 Flash-Lite vs Mistral Large 3 (675B Instruct 2512)Which is better in 2026?

Comparing Gemini 3.5 Flash-Lite and Mistral Large 3 (675B Instruct 2512) across benchmarks, pricing, and capabilities.

Verdict: Gemini 3.5 Flash-Lite vs Mistral Large 3 (675B Instruct 2512) — which is better?

Gemini 3.5 Flash-Lite (by Google) and Mistral Large 3 (675B Instruct 2512) (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.

On price, Mistral Large 3 (675B Instruct 2512) is roughly 1.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 3.5 Flash-Lite also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose Gemini 3.5 Flash-Lite if…

  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Jul 2026

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

  • cost matters — it's about 1.1x cheaper per token
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemini 3.5 Flash-Lite and Mistral Large 3 (675B Instruct 2512)don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Mistral Large 3 (675B Instruct 2512) costs less

For input processing, Gemini 3.5 Flash-Lite ($0.30/1M tokens) is 1.7x cheaper than Mistral Large 3 (675B Instruct 2512) ($0.50/1M tokens).

For output processing, Gemini 3.5 Flash-Lite ($2.50/1M tokens) is 1.7x more expensive than Mistral Large 3 (675B Instruct 2512) ($1.50/1M tokens).

In conclusion, Gemini 3.5 Flash-Lite is more expensive than Mistral Large 3 (675B Instruct 2512).*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Thu Jul 23 2026 • llm-stats.com
Google
Gemini 3.5 Flash-Lite
Input tokens$0.30
Output tokens$2.50
Best providerGoogle
Mistral AI
Mistral Large 3 (675B Instruct 2512)
Input tokens$0.50
Output tokens$1.50
Best providerMistral
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 3.5 Flash-Lite accepts 1,048,576 input tokens compared to Mistral Large 3 (675B Instruct 2512)'s 262,100 tokens. Mistral Large 3 (675B Instruct 2512) can generate longer responses up to 262,100 tokens, while Gemini 3.5 Flash-Lite is limited to 65,536 tokens.

Google
Gemini 3.5 Flash-Lite
Input1,048,576 tokens
Output65,536 tokens
Mistral AI
Mistral Large 3 (675B Instruct 2512)
Input262,100 tokens
Output262,100 tokens
Thu Jul 23 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 3.5 Flash-Lite and Mistral Large 3 (675B Instruct 2512) support multimodal inputs.

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

Gemini 3.5 Flash-Lite

Text
Images
Audio
Video

Mistral Large 3 (675B Instruct 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.5 Flash-Lite is licensed under a proprietary license, while Mistral Large 3 (675B Instruct 2512) uses Apache 2.0.

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

Gemini 3.5 Flash-Lite

Proprietary

Closed source

Mistral Large 3 (675B Instruct 2512)

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 3.5 Flash-Lite was released on 2026-07-21, while Mistral Large 3 (675B Instruct 2512) was released on 2025-12-04.

Gemini 3.5 Flash-Lite is 8 months newer than Mistral Large 3 (675B Instruct 2512).

Gemini 3.5 Flash-Lite

Jul 21, 2026

1 days ago

7mo newer
Mistral Large 3 (675B Instruct 2512)

Dec 4, 2025

7 months ago

Knowledge Cutoff

When training data ends

Gemini 3.5 Flash-Lite has a documented knowledge cutoff of 2026-03-31, while Mistral Large 3 (675B Instruct 2512)'s cutoff date is not specified.

We can confirm Gemini 3.5 Flash-Lite's training data extends to 2026-03-31, but cannot make a direct comparison without Mistral Large 3 (675B Instruct 2512)'s cutoff date.

Gemini 3.5 Flash-Lite

Mar 2026

Mistral Large 3 (675B Instruct 2512)

—

Provider Availability

Gemini 3.5 Flash-Lite is available from Google. Mistral Large 3 (675B Instruct 2512) is available from Mistral AI.

Gemini 3.5 Flash-Lite

google logo
Google
Input Price:Input: $0.30/1MOutput Price:Output: $2.50/1M

Mistral Large 3 (675B Instruct 2512)

mistral logo
Mistral
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Larger context window (1,048,576 tokens)
Less expensive input tokens
Mistral AI
Less expensive output tokens
Has open weights

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemini 3.5 Flash-Lite and Mistral Large 3 (675B Instruct 2512) side-by-side, then vote on the output you prefer.

Gemini 3.5 Flash-Lite
✓ Preferred
Mistral Large 3 (675B Instruct 2512)
Open in Playground
AI Model Comparison Table
Feature
Google
Gemini 3.5 Flash-Lite
Mistral AI
Mistral Large 3 (675B Instruct 2512)

FAQ

Common questions about Gemini 3.5 Flash-Lite vs Mistral Large 3 (675B Instruct 2512).

Which is better, Gemini 3.5 Flash-Lite or Mistral Large 3 (675B Instruct 2512)?

Gemini 3.5 Flash-Lite (Google) and Mistral Large 3 (675B Instruct 2512) (Mistral AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Gemini 3.5 Flash-Lite compare to Mistral Large 3 (675B Instruct 2512) in benchmarks?

Gemini 3.5 Flash-Lite scores CharXiv-R: 76.5%, OSWorld-Verified: 74.0%, SWE-Bench Pro: 54.2%, Terminal-Bench 2.1: 54.0%, MLE-Bench: 39.2%. Mistral Large 3 (675B Instruct 2512) scores MMMLU: 85.5%, AMC_2022_23: 52.0%, GPQA: 43.9%, LiveCodeBench: 34.4%, SimpleQA: 23.8%.

Is Gemini 3.5 Flash-Lite cheaper than Mistral Large 3 (675B Instruct 2512)?

Gemini 3.5 Flash-Lite is 1.7x cheaper for input tokens. Gemini 3.5 Flash-Lite costs $0.30/M input and $2.50/M output via google. Mistral Large 3 (675B Instruct 2512) costs $0.50/M input and $1.50/M output via mistral.

What are the context window sizes for Gemini 3.5 Flash-Lite and Mistral Large 3 (675B Instruct 2512)?

Gemini 3.5 Flash-Lite supports 1.0M tokens and Mistral Large 3 (675B Instruct 2512) supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 3.5 Flash-Lite and Mistral Large 3 (675B Instruct 2512)?

Key differences include context window (1.0M vs 262K), input pricing ($0.30 vs $0.50/M), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.5 Flash-Lite and Mistral Large 3 (675B Instruct 2512)?

Gemini 3.5 Flash-Lite is developed by Google and Mistral Large 3 (675B Instruct 2512) is developed by Mistral AI.

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