GPT-6 Luna vs Mistral Small 3.1 24B Base
GPT-6 Luna leads the LLM Stats Score 44.5 to 0.3. Mistral Small 3.1 24B Base is 1.3x cheaper per token.
OpenAI · Mistral AI · Updated for 2026
Which is better?
GPT-6 Luna leads the overall LLM Stats Score 44.5 to 0.3, ranking #41 overall.
On price, Mistral Small 3.1 24B Base is roughly 1.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-6 Luna also accepts a larger context window (1,050,000 input tokens), making it the stronger choice for long documents and large codebases.
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 #41 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you process long inputs — it offers a 1,050,000 token context window
- you want the most recent training data — it shipped Sep 2026
Choose Mistral Small 3.1 24B Base
- cost matters — it's about 1.3x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
5 reported for GPT-6 Luna · 5 for Mistral Small 3.1 24B Base
GPT-6 Luna and Mistral Small 3.1 24B Basedon'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
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-6 Luna ($0.10/1M tokens) costs the same as Mistral Small 3.1 24B Base ($0.10/1M tokens).
For output processing, GPT-6 Luna ($0.50/1M tokens) is 1.7x more expensive than Mistral Small 3.1 24B Base ($0.30/1M tokens).
In conclusion, GPT-6 Luna is more expensive than Mistral Small 3.1 24B Base.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-6 Luna accepts 1,050,000 input tokens compared to Mistral Small 3.1 24B Base's 128,000 tokens. Both models can generate responses up to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both GPT-6 Luna and Mistral Small 3.1 24B Base support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-6 Luna
Mistral Small 3.1 24B Base
License
Usage and distribution terms
GPT-6 Luna is licensed under a proprietary license, while Mistral Small 3.1 24B Base uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
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 Base was released on 2025-03-17.
GPT-6 Luna is 18 months newer than Mistral Small 3.1 24B Base.
Sep 22, 2026
0 days ago
1.5yr newerMar 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 Base'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 Base's cutoff date.
May 2026
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Provider Availability
GPT-6 Luna is available from OpenAI. Mistral Small 3.1 24B Base is available from Mistral AI.
GPT-6 Luna
Mistral Small 3.1 24B Base
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6 Luna and Mistral Small 3.1 24B Base side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6 Luna vs Mistral Small 3.1 24B Base.