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Gemini 3.8 Flash vs Magistral Small 2506

Gemini 3.8 Flash leads the LLM Stats Score 50.5 to 10.7.

Google · Mistral AI · Updated for 2026

Which is better?

Gemini 3.8 Flash leads the overall LLM Stats Score 50.5 to 10.7, ranking #17 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 50.5 and ranks #17 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose Magistral Small 2506

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

At a glance

The differences that matter most.

Gemini 3.8 Flash
Google
Magistral Small 2506
Mistral AI
Core performance indexes
LLM Stats Score
50.5
#17
10.7
#261
Reasoning
46.9
#25
10.9
#259
Coding
38.6
#15
5.2
#201
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 · 4 for Magistral Small 2506

No common benchmarks found

Gemini 3.8 Flash and Magistral Small 2506don'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
Magistral Small 2506
Input- tokens
Output- tokens
Mon Sep 21 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 3.8 Flash supports multimodal inputs, whereas Magistral Small 2506 does not.

Gemini 3.8 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3.8 Flash

Text
Images
Audio
Video

Magistral Small 2506

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.8 Flash is licensed under a proprietary license, while Magistral Small 2506 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

Magistral Small 2506

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 3.8 Flash was released on 2026-09-02, while Magistral Small 2506 was released on 2025-06-10.

Gemini 3.8 Flash is 15 months newer than Magistral Small 2506.

Gemini 3.8 Flash

Sep 2, 2026

2 weeks ago

1.2yr newer
Magistral Small 2506

Jun 10, 2025

1.3 years ago

Knowledge Cutoff

When training data ends

Gemini 3.8 Flash has a knowledge cutoff of 2026-03-31, while Magistral Small 2506 has a cutoff of 2025-06-01.

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 Magistral Small 2506 (2025-06-01).

Gemini 3.8 Flash

Mar 2026

9 mo newer
Magistral Small 2506

Jun 2025

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini 3.8 Flash and Magistral Small 2506 side-by-side, then vote on the output you prefer.

Gemini 3.8 Flash
✓ Preferred
Magistral Small 2506
Open in Playground

FAQ

Common questions about Gemini 3.8 Flash vs Magistral Small 2506.

Which is better, Gemini 3.8 Flash or Magistral Small 2506?

Gemini 3.8 Flash leads the LLM Stats Score 50.5 to 10.7. Gemini 3.8 Flash is made by Google and Magistral Small 2506 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 Magistral Small 2506 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%. Magistral Small 2506 scores AIME 2024: 70.7%, GPQA: 68.2%, AIME 2025: 62.8%, LiveCodeBench: 51.3%.

What are the context window sizes for Gemini 3.8 Flash and Magistral Small 2506?

Gemini 3.8 Flash supports 1.0M tokens and Magistral Small 2506 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 Magistral Small 2506?

Key differences include LLM Stats Score (50.5 vs 10.7), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.8 Flash and Magistral Small 2506?

Gemini 3.8 Flash is developed by Google and Magistral Small 2506 is developed by Mistral AI.

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