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GPT-6 Astra vs Magistral Medium

GPT-6 Astra leads the LLM Stats Score 59.9 to 13.1.

OpenAI · Mistral AI · Updated for 2026

Which is better?

GPT-6 Astra leads the overall LLM Stats Score 59.9 to 13.1, ranking #1 overall.

In the 1 individual benchmarks reported for both models, GPT-6 Astra wins 1; 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 GPT-6 Astra

  • overall performance matters — it scores 59.9 and ranks #1 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • 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.

Core performance indexes
59.9
#1
13.1
#246
57.9
#1
13.3
#238
48.5
#1
3.5
#215
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$10.00 / M
— / M
Output price
$50.00 / M
— / M
Context window
1,050,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-6 Astra
Magistral Medium
36.0#42
11.4#242
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for GPT-6 Astra · 6 for Magistral Medium

1 shared

GPT-6 Astra outperforms in 1 benchmarks (GPQA), while Magistral Medium is better at 0 benchmarks.

GPT-6 Astra significantly outperforms across most benchmarks.

Mon Sep 14 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GPT-6 Astra specifies input context (1,050,000 tokens). Only GPT-6 Astra specifies output context (128,000 tokens).

OpenAI
GPT-6 Astra
Input1,050,000 tokens
Output128,000 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 GPT-6 Astra and Magistral Medium support multimodal inputs.

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

GPT-6 Astra

Text
Images
Audio
Video

Magistral Medium

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6 Astra 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.

GPT-6 Astra

Proprietary

Closed source

Magistral Medium

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-6 Astra was released on 2026-09-04, while Magistral Medium was released on 2025-06-10.

GPT-6 Astra is 15 months newer than Magistral Medium.

GPT-6 Astra

Sep 4, 2026

1 weeks ago

1.2yr newer
Magistral Medium

Jun 10, 2025

1.3 years ago

Knowledge Cutoff

When training data ends

GPT-6 Astra has a knowledge cutoff of 2026-04-30, while Magistral Medium has a cutoff of 2025-06-01.

GPT-6 Astra has more recent training data (up to 2026-04-30), making it potentially better informed about events through that date compared to Magistral Medium (2025-06-01).

GPT-6 Astra

Apr 2026

10 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 GPT-6 Astra and Magistral Medium side-by-side, then vote on the output you prefer.

GPT-6 Astra
✓ Preferred
Magistral Medium
Open in Playground

FAQ

Common questions about GPT-6 Astra vs Magistral Medium.

Which is better, GPT-6 Astra or Magistral Medium?

GPT-6 Astra leads the LLM Stats Score 59.9 to 13.1. GPT-6 Astra is made by OpenAI 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 GPT-6 Astra compare to Magistral Medium in benchmarks?

GPT-6 Astra scores ExploitBench: 100.0%, ARC-AGI-3: 99.9%, ARC-AGI: 98.5%, FrontierMath Tier 4 (v2): 97.6%, GPQA: 96.0%. 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 GPT-6 Astra and Magistral Medium?

GPT-6 Astra supports 1.1M 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 GPT-6 Astra and Magistral Medium?

Key differences include LLM Stats Score (59.9 vs 13.1), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-6 Astra and Magistral Medium?

GPT-6 Astra is developed by OpenAI and Magistral Medium is developed by Mistral AI.