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GPT-6 Astra vs Magistral Small 2506

GPT-6 Astra leads the LLM Stats Score 59.6 to 10.7.

OpenAI · Mistral AI · Updated for 2026

Which is better?

GPT-6 Astra leads the overall LLM Stats Score 59.6 to 10.7, 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 59.6 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 Small 2506

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

At a glance

The differences that matter most.

Core performance indexes
59.6
#1
10.7
#261
57.5
#1
10.9
#259
48.5
#1
5.2
#201
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 Small 2506
36.0#42
8.5#259
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for GPT-6 Astra · 4 for Magistral Small 2506

1 shared

GPT-6 Astra outperforms in 1 benchmarks (GPQA), while Magistral Small 2506 is better at 0 benchmarks.

GPT-6 Astra significantly outperforms across most benchmarks.

Mon Sep 21 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 Small 2506
Input- tokens
Output- tokens
Mon Sep 21 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-6 Astra supports multimodal inputs, whereas Magistral Small 2506 does not.

GPT-6 Astra can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-6 Astra

Text
Images
Audio
Video

Magistral Small 2506

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6 Astra 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.

GPT-6 Astra

Proprietary

Closed source

Magistral Small 2506

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-6 Astra was released on 2026-09-04, while Magistral Small 2506 was released on 2025-06-10.

GPT-6 Astra is 15 months newer than Magistral Small 2506.

GPT-6 Astra

Sep 4, 2026

2 weeks ago

1.2yr newer
Magistral Small 2506

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 Small 2506 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 Small 2506 (2025-06-01).

GPT-6 Astra

Apr 2026

10 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 GPT-6 Astra and Magistral Small 2506 side-by-side, then vote on the output you prefer.

GPT-6 Astra
✓ Preferred
Magistral Small 2506
Open in Playground

FAQ

Common questions about GPT-6 Astra vs Magistral Small 2506.

Which is better, GPT-6 Astra or Magistral Small 2506?

GPT-6 Astra leads the LLM Stats Score 59.6 to 10.7. GPT-6 Astra is made by OpenAI 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 GPT-6 Astra compare to Magistral Small 2506 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 Small 2506 scores AIME 2024: 70.7%, GPQA: 68.2%, AIME 2025: 62.8%, LiveCodeBench: 51.3%.

What are the context window sizes for GPT-6 Astra and Magistral Small 2506?

GPT-6 Astra supports 1.1M 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 GPT-6 Astra and Magistral Small 2506?

Key differences include LLM Stats Score (59.6 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 GPT-6 Astra and Magistral Small 2506?

GPT-6 Astra is developed by OpenAI and Magistral Small 2506 is developed by Mistral AI.