The AI arena is free today

Open Superagent

GPT-6.1 Sol vs Magistral Small 2506

GPT-6.1 Sol leads the LLM Stats Score 54.0 to 10.7.

OpenAI · Mistral AI · Updated for 2026

Which is better?

GPT-6.1 Sol leads the overall LLM Stats Score 54.0 to 10.7, ranking #7 overall.

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

Choose GPT-6.1 Sol

  • overall performance matters — it scores 54.0 and ranks #7 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-6.1 Sol
OpenAI
Magistral Small 2506
Mistral AI
Core performance indexes
LLM Stats Score
54.0
#7
10.7
#277
Reasoning
51.7
#8
10.9
#275
Coding
39.7
#13
5.2
#215
Cost, coverage & limits
Benchmark wins
—
—
Input price
$2.00 / M
— / M
Output price
$10.00 / M
— / M
Context window
1,050,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-6.1 Sol
Magistral Small 2506
Math
34.9#46
8.5#265
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

17 reported for GPT-6.1 Sol · 4 for Magistral Small 2506

No common benchmarks found

GPT-6.1 Sol 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-6.1 Sol specifies input context (1,050,000 tokens). Only GPT-6.1 Sol specifies output context (128,000 tokens).

OpenAI
GPT-6.1 Sol
Input1,050,000 tokens
Output128,000 tokens
Mistral AI
Magistral Small 2506
Input- tokens
Output- tokens
Wed Oct 14 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-6.1 Sol supports multimodal inputs, whereas Magistral Small 2506 does not.

GPT-6.1 Sol can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-6.1 Sol

Text
Images
Audio
Video

Magistral Small 2506

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6.1 Sol 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-6.1 Sol

Proprietary

Closed source

Magistral Small 2506

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-6.1 Sol was released on 2026-09-29, while Magistral Small 2506 was released on 2025-06-10.

GPT-6.1 Sol is 16 months newer than Magistral Small 2506.

GPT-6.1 Sol

Sep 29, 2026

1 weeks ago

1.3yr newer
Magistral Small 2506

Jun 10, 2025

1.3 years ago

Knowledge Cutoff

When training data ends

GPT-6.1 Sol has a knowledge cutoff of 2026-04-30, while Magistral Small 2506 has a cutoff of 2025-06-01.

GPT-6.1 Sol 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-6.1 Sol

Apr 2026

10 mo newer
Magistral Small 2506

Jun 2025

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-6.1 Sol and Magistral Small 2506 side-by-side, then vote on the output you prefer.

GPT-6.1 Sol
✓ Preferred
Magistral Small 2506
Open in Playground

FAQ

Common questions about GPT-6.1 Sol vs Magistral Small 2506.

Which is better, GPT-6.1 Sol or Magistral Small 2506?

GPT-6.1 Sol leads the LLM Stats Score 54.0 to 10.7. GPT-6.1 Sol 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-6.1 Sol compare to Magistral Small 2506 in benchmarks?

GPT-6.1 Sol scores FrontierMath Tier 4 (v2): 100.0%, HealthBench Consensus: 96.0%, MMMU-Pro: 86.0%, DeepSWE 1.1: 75.2%, SimpleQA Verified: 73.9%. 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-6.1 Sol and Magistral Small 2506?

GPT-6.1 Sol 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-6.1 Sol and Magistral Small 2506?

Key differences include LLM Stats Score (54.0 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-6.1 Sol and Magistral Small 2506?

GPT-6.1 Sol is developed by OpenAI and Magistral Small 2506 is developed by Mistral AI.

Related comparisons