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GPT-6 Luna vs Magistral Small 2506

GPT-6 Luna leads the LLM Stats Score 44.5 to 10.7.

OpenAI · Mistral AI · Updated for 2026

Which is better?

GPT-6 Luna leads the overall LLM Stats Score 44.5 to 10.7, ranking #40 overall.

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

Choose GPT-6 Luna

  • overall performance matters — it scores 44.5 and ranks #40 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.

GPT-6 Luna
OpenAI
Magistral Small 2506
Mistral AI
Core performance indexes
LLM Stats Score
44.5
#40
10.7
#267
Reasoning
40.0
#58
10.9
#265
Coding
31.4
#47
5.2
#207
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.10 / M
— / M
Output price
$0.50 / M
— / M
Context window
1,050,000
—

Individual benchmarks

5 reported for GPT-6 Luna · 4 for Magistral Small 2506

No common benchmarks found

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

OpenAI
GPT-6 Luna
Input1,050,000 tokens
Output128,000 tokens
Mistral AI
Magistral Small 2506
Input- tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

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

GPT-6 Luna

Text
Images
Audio
Video

Magistral Small 2506

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6 Luna 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 Luna

Proprietary

Closed source

Magistral Small 2506

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-6 Luna was released on 2026-09-22, while Magistral Small 2506 was released on 2025-06-10.

GPT-6 Luna is 16 months newer than Magistral Small 2506.

GPT-6 Luna

Sep 22, 2026

0 days ago

1.3yr newer
Magistral Small 2506

Jun 10, 2025

1.3 years ago

Knowledge Cutoff

When training data ends

GPT-6 Luna has a knowledge cutoff of 2026-05-18, while Magistral Small 2506 has a cutoff of 2025-06-01.

GPT-6 Luna has more recent training data (up to 2026-05-18), making it potentially better informed about events through that date compared to Magistral Small 2506 (2025-06-01).

GPT-6 Luna

May 2026

11 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 Luna and Magistral Small 2506 side-by-side, then vote on the output you prefer.

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

FAQ

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

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

GPT-6 Luna leads the LLM Stats Score 44.5 to 10.7. GPT-6 Luna 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 Luna compare to Magistral Small 2506 in benchmarks?

GPT-6 Luna scores DeepSWE 1.1: 66.6%, OSWorld 2.0: 52.7%, Agents' Last Exam: 50.9%, FrontierCode 1.1: 42.4%, AutomationBench v1.0.6: 20.7%. 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 GPT-6 Luna and Magistral Small 2506?

GPT-6 Luna 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 Luna and Magistral Small 2506?

Key differences include LLM Stats Score (44.5 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 GPT-6 Luna and Magistral Small 2506?

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

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