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Gemini 2.0 Flash-Lite vs Mistral Small 3.1 24B Instruct

Gemini 2.0 Flash-Lite leads the LLM Stats Score 12.4 to 4.2.

Google · Mistral AI · Updated for 2026

Which is better?

Gemini 2.0 Flash-Lite leads the overall LLM Stats Score 12.4 to 4.2, ranking #257 overall.

In the 5 individual benchmarks reported for both models, Gemini 2.0 Flash-Lite wins 5; this is a narrower head-to-head signal than the composite indexes.

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

Choose Gemini 2.0 Flash-Lite

  • overall performance matters — it scores 12.4 and ranks #257 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 5 of 5 exact shared results

Choose Mistral Small 3.1 24B Instruct

  • you want the most recent training data — it shipped Mar 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 Small 3.1 24B Instruct
Mistral AI
Core performance indexes
LLM Stats Score
12.4
#257
4.2
#309
Reasoning
12.5
#250
4.2
#302
Cost, coverage & limits
Benchmark wins
5 of 5
0 of 5
Input price
$0.07 / M
— / M
Output price
$0.30 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemini 2.0 Flash-Lite
Mistral Small 3.1 24B Instruct
Math
18.2#185
7.9#262
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

13 reported for Gemini 2.0 Flash-Lite · 9 for Mistral Small 3.1 24B Instruct

5 shared

Gemini 2.0 Flash-Lite outperforms in 5 benchmarks (GPQA, MATH, MMLU-Pro, MMMU, SimpleQA), while Mistral Small 3.1 24B Instruct is better at 0 benchmarks.

Gemini 2.0 Flash-Lite significantly outperforms across most benchmarks.

Wed Sep 23 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground 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 Small 3.1 24B Instruct
Input- tokens
Output- tokens
Wed Sep 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 2.0 Flash-Lite and Mistral Small 3.1 24B Instruct 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 Small 3.1 24B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.0 Flash-Lite is licensed under a proprietary license, while Mistral Small 3.1 24B Instruct 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 Small 3.1 24B Instruct

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 Small 3.1 24B Instruct was released on 2025-03-17.

Mistral Small 3.1 24B Instruct is 1 month newer than Gemini 2.0 Flash-Lite.

Gemini 2.0 Flash-Lite

Feb 5, 2025

1.6 years ago

Mistral Small 3.1 24B Instruct

Mar 17, 2025

1.5 years ago

1mo newer

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash-Lite has a documented knowledge cutoff of 2024-06-01, while Mistral Small 3.1 24B Instruct'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 Small 3.1 24B Instruct's cutoff date.

Gemini 2.0 Flash-Lite

Jun 2024

Mistral Small 3.1 24B Instruct

—

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 Small 3.1 24B Instruct side-by-side, then vote on the output you prefer.

Gemini 2.0 Flash-Lite
✓ Preferred
Mistral Small 3.1 24B Instruct
Open in Playground

FAQ

Common questions about Gemini 2.0 Flash-Lite vs Mistral Small 3.1 24B Instruct.

Which is better, Gemini 2.0 Flash-Lite or Mistral Small 3.1 24B Instruct?

Gemini 2.0 Flash-Lite leads the LLM Stats Score 12.4 to 4.2. Gemini 2.0 Flash-Lite is made by Google and Mistral Small 3.1 24B Instruct 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-Lite compare to Mistral Small 3.1 24B Instruct 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 Small 3.1 24B Instruct scores HumanEval: 88.4%, MMLU: 80.6%, TriviaQA: 80.5%, MBPP: 74.7%, MATH: 69.3%.

What are the context window sizes for Gemini 2.0 Flash-Lite and Mistral Small 3.1 24B Instruct?

Gemini 2.0 Flash-Lite supports 1.0M tokens and Mistral Small 3.1 24B Instruct 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 Small 3.1 24B Instruct?

Key differences include LLM Stats Score (12.4 vs 4.2), 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 Small 3.1 24B Instruct?

Gemini 2.0 Flash-Lite is developed by Google and Mistral Small 3.1 24B Instruct is developed by Mistral AI.

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