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Gemini 3.8 Flash vs Magistral Medium

Gemini 3.8 Flash leads the LLM Stats Score 50.6 to 13.1.

Google · Mistral AI · Updated for 2026

Which is better?

Gemini 3.8 Flash leads the overall LLM Stats Score 50.6 to 13.1, ranking #16 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 50.6 and ranks #16 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 Medium

  • 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 Medium
Mistral AI
Core performance indexes
LLM Stats Score
50.6
#16
13.1
#246
Reasoning
46.9
#24
13.3
#237
Coding
38.5
#15
3.5
#215
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 · 6 for Magistral Medium

No common benchmarks found

Gemini 3.8 Flash and Magistral Mediumdon'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 Medium
Input- tokens
Output- tokens
Mon Sep 14 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 3.8 Flash and Magistral Medium 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

Magistral Medium

Text
Images
Audio
Video

License

Usage and distribution terms

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

Apache 2.0

Open weights

Release Timeline

When each model was launched

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

Gemini 3.8 Flash is 15 months newer than Magistral Medium.

Gemini 3.8 Flash

Sep 2, 2026

1 weeks ago

1.2yr newer
Magistral Medium

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 Medium 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 Medium (2025-06-01).

Gemini 3.8 Flash

Mar 2026

9 mo newer
Magistral Medium

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 Medium side-by-side, then vote on the output you prefer.

Gemini 3.8 Flash
✓ Preferred
Magistral Medium
Open in Playground

FAQ

Common questions about Gemini 3.8 Flash vs Magistral Medium.

Which is better, Gemini 3.8 Flash or Magistral Medium?

Gemini 3.8 Flash leads the LLM Stats Score 50.6 to 13.1. Gemini 3.8 Flash is made by Google and Magistral Medium 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 Medium 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 Medium scores AIME 2024: 73.6%, GPQA: 70.8%, AIME 2025: 64.9%, LiveCodeBench: 50.3%, Aider-Polyglot: 47.1%.

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

Gemini 3.8 Flash supports 1.0M tokens and Magistral Medium 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 Medium?

Key differences include LLM Stats Score (50.6 vs 13.1), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.8 Flash and Magistral Medium?

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

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