GPT-6 Luna vs Mistral Small
Comparing GPT-6 Luna and Mistral Small across benchmarks, pricing, and capabilities.
OpenAI · Mistral AI · Updated for 2026
Which is better?
GPT-6 Luna and Mistral Small trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, GPT-6 Luna is roughly 1.5x 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
- cost matters — it's about 1.5x cheaper per token
- 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
- 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 · 0 for Mistral Small
GPT-6 Luna and Mistral Smalldon'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) is 2.0x cheaper than Mistral Small ($0.20/1M tokens).
For output processing, GPT-6 Luna ($0.50/1M tokens) is 1.2x cheaper than Mistral Small ($0.60/1M tokens).
In conclusion, Mistral Small is more expensive than GPT-6 Luna.*
* 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's 32,768 tokens. GPT-6 Luna can generate longer responses up to 128,000 tokens, while Mistral Small is limited to 32,768 tokens.
Input capabilities
Documented input modalities across available providers
GPT-6 Luna supports multimodal inputs, whereas Mistral Small 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
Mistral Small
License
Usage and distribution terms
GPT-6 Luna is licensed under a proprietary license, while Mistral Small uses Mistral Research License.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Mistral Research License
Open weights
Release Timeline
When each model was launched
GPT-6 Luna was released on 2026-09-22, while Mistral Small was released on 2024-09-17.
GPT-6 Luna is 25 months newer than Mistral Small.
Sep 22, 2026
0 days ago
2.0yr newerSep 17, 2024
2.0 years ago
Knowledge Cutoff
When training data ends
GPT-6 Luna has a documented knowledge cutoff of 2026-05-18, while Mistral Small'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's cutoff date.
May 2026
—
Provider Availability
GPT-6 Luna is available from OpenAI. Mistral Small is available from Mistral AI.
GPT-6 Luna
Mistral Small
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6 Luna and Mistral Small side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6 Luna vs Mistral Small.