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Gemini 3.8 Flash vs Mistral Small 3 24B Base

Gemini 3.8 Flash leads the LLM Stats Score 51.8 to -0.3.

Google · Mistral AI · Updated for 2026

Which is better?

Gemini 3.8 Flash leads the overall LLM Stats Score 51.8 to -0.3, ranking #11 overall.

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

Choose Gemini 3.8 Flash

  • overall performance matters — it scores 51.8 and ranks #11 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose Mistral Small 3 24B Base

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemini 3.8 Flash
Google
Mistral Small 3 24B Base
Mistral AI
Core performance indexes
LLM Stats Score
51.8
#11
-0.3
#314
Reasoning
47.6
#21
-0.3
#307
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.75 / M
— / M
Output price
$3.75 / M
— / M
Context window
1,048,576
—

Individual benchmarks

13 reported for Gemini 3.8 Flash · 9 for Mistral Small 3 24B Base

No common benchmarks found

Gemini 3.8 Flash and Mistral Small 3 24B Basedon'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 Gemini 3.8 Flash specifies input context (1,048,576 tokens). Only Gemini 3.8 Flash specifies output context (65,536 tokens).

Google
Gemini 3.8 Flash
Input1,048,576 tokens
Output65,536 tokens
Mistral AI
Mistral Small 3 24B Base
Input- tokens
Output- tokens
Wed Sep 02 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 3.8 Flash and Mistral Small 3 24B Base support multimodal inputs.

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

Gemini 3.8 Flash

Text
Images
Audio
Video

Mistral Small 3 24B Base

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.8 Flash is licensed under a proprietary license, while Mistral Small 3 24B Base uses Apache 2.0.

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

Gemini 3.8 Flash

Proprietary

Closed source

Mistral Small 3 24B Base

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 3.8 Flash was released on 2026-09-02, while Mistral Small 3 24B Base was released on 2025-01-30.

Gemini 3.8 Flash is 19 months newer than Mistral Small 3 24B Base.

Gemini 3.8 Flash

Sep 2, 2026

0 days ago

1.6yr newer
Mistral Small 3 24B Base

Jan 30, 2025

1.6 years ago

Knowledge Cutoff

When training data ends

Gemini 3.8 Flash has a knowledge cutoff of 2026-03-31, while Mistral Small 3 24B Base has a cutoff of 2023-10-01.

Gemini 3.8 Flash has more recent training data (up to 2026-03-31), making it potentially better informed about events through that date compared to Mistral Small 3 24B Base (2023-10-01).

Gemini 3.8 Flash

Mar 2026

2.4 yr newer
Mistral Small 3 24B Base

Oct 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini 3.8 Flash and Mistral Small 3 24B Base side-by-side, then vote on the output you prefer.

Gemini 3.8 Flash
✓ Preferred
Mistral Small 3 24B Base
Open in Playground

FAQ

Common questions about Gemini 3.8 Flash vs Mistral Small 3 24B Base.

Which is better, Gemini 3.8 Flash or Mistral Small 3 24B Base?

Gemini 3.8 Flash leads the LLM Stats Score 51.8 to -0.3. Gemini 3.8 Flash is made by Google and Mistral Small 3 24B Base 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 3.8 Flash compare to Mistral Small 3 24B Base in benchmarks?

Gemini 3.8 Flash scores Terminal-Bench 2.1: 89.4%, LVBench: 87.1%, CharXiv-R: 86.2%, LABBench2: 86.2%, DeepSWE 1.1: 73.7%. Mistral Small 3 24B Base scores ARC-C: 91.3%, GSM8k: 80.7%, MMLU: 80.7%, TriviaQA: 80.3%, MBPP: 69.6%.

What are the context window sizes for Gemini 3.8 Flash and Mistral Small 3 24B Base?

Gemini 3.8 Flash supports 1.0M tokens and Mistral Small 3 24B 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 3.8 Flash and Mistral Small 3 24B Base?

Key differences include LLM Stats Score (51.8 vs -0.3), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.8 Flash and Mistral Small 3 24B Base?

Gemini 3.8 Flash is developed by Google and Mistral Small 3 24B Base is developed by Mistral AI.

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