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GPT-6 Luna vs Mistral Small 3.1 24B Instruct

GPT-6 Luna leads the LLM Stats Score 44.5 to 4.2.

OpenAI · Mistral AI · Updated for 2026

Which is better?

GPT-6 Luna leads the overall LLM Stats Score 44.5 to 4.2, 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 Mistral Small 3.1 24B Instruct

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

At a glance

The differences that matter most.

GPT-6 Luna
OpenAI
Mistral Small 3.1 24B Instruct
Mistral AI
Core performance indexes
LLM Stats Score
44.5
#40
4.2
#309
Reasoning
40.0
#58
4.2
#302
Coding
31.4
#47
9.7
#176
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 · 9 for Mistral Small 3.1 24B Instruct

No common benchmarks found

GPT-6 Luna and Mistral Small 3.1 24B Instructdon'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
Mistral Small 3.1 24B Instruct
Input- tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-6 Luna and Mistral Small 3.1 24B Instruct support multimodal inputs.

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

GPT-6 Luna

Text
Images
Audio
Video

Mistral Small 3.1 24B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6 Luna is licensed under a proprietary license, while Mistral Small 3.1 24B Instruct 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

Mistral Small 3.1 24B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-6 Luna was released on 2026-09-22, while Mistral Small 3.1 24B Instruct was released on 2025-03-17.

GPT-6 Luna is 18 months newer than Mistral Small 3.1 24B Instruct.

GPT-6 Luna

Sep 22, 2026

0 days ago

1.5yr newer
Mistral Small 3.1 24B Instruct

Mar 17, 2025

1.5 years ago

Knowledge Cutoff

When training data ends

GPT-6 Luna has a documented knowledge cutoff of 2026-05-18, while Mistral Small 3.1 24B Instruct's cutoff date is not specified.

We can confirm GPT-6 Luna's training data extends to 2026-05-18, but cannot make a direct comparison without Mistral Small 3.1 24B Instruct's cutoff date.

GPT-6 Luna

May 2026

Mistral Small 3.1 24B Instruct

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against GPT-6 Luna and Mistral Small 3.1 24B Instruct side-by-side, then vote on the output you prefer.

GPT-6 Luna
✓ Preferred
Mistral Small 3.1 24B Instruct
Open in Playground

FAQ

Common questions about GPT-6 Luna vs Mistral Small 3.1 24B Instruct.

Which is better, GPT-6 Luna or Mistral Small 3.1 24B Instruct?

GPT-6 Luna leads the LLM Stats Score 44.5 to 4.2. GPT-6 Luna is made by OpenAI and Mistral Small 3.1 24B Instruct 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 Mistral Small 3.1 24B Instruct 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%. Mistral Small 3.1 24B Instruct scores HumanEval: 88.4%, MMLU: 80.6%, TriviaQA: 80.5%, MBPP: 74.7%, MATH: 69.3%.

What are the context window sizes for GPT-6 Luna and Mistral Small 3.1 24B Instruct?

GPT-6 Luna supports 1.1M tokens and Mistral Small 3.1 24B Instruct 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 Mistral Small 3.1 24B Instruct?

Key differences include LLM Stats Score (44.5 vs 4.2), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-6 Luna and Mistral Small 3.1 24B Instruct?

GPT-6 Luna is developed by OpenAI and Mistral Small 3.1 24B Instruct is developed by Mistral AI.

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