GPT-6 Luna vs Mistral Large 4
GPT-6 Luna and Mistral Large 4 are closely matched at 43.9 and 46.4 on the LLM Stats Score. GPT-6 Luna is 5.2x cheaper per token.
OpenAI · Mistral AI · Updated for 2026
Which is better?
GPT-6 Luna and Mistral Large 4 are closely matched on the overall LLM Stats Score at 43.9 and 46.4.
In the 1 individual benchmarks reported for both models, GPT-6 Luna wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, GPT-6 Luna is roughly 5.2x 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
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- cost matters — it's about 5.2x cheaper per token
- you process long inputs — it offers a 1,050,000 token context window
Choose Mistral Large 4
- you want the most recent training data — it shipped Oct 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
5 reported for GPT-6 Luna · 15 for Mistral Large 4
GPT-6 Luna outperforms in 1 benchmarks (DeepSWE 1.1), while Mistral Large 4 is better at 0 benchmarks.
GPT-6 Luna significantly outperforms across most benchmarks.
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 6.8x cheaper than Mistral Large 4 ($0.68/1M tokens).
For output processing, GPT-6 Luna ($0.50/1M tokens) is 4.2x cheaper than Mistral Large 4 ($2.09/1M tokens).
In conclusion, Mistral Large 4 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 Large 4's 1,000,000 tokens. Only GPT-6 Luna specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
Both GPT-6 Luna and Mistral Large 4 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-6 Luna
Mistral Large 4
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
GPT-6 Luna was released on 2026-09-22, while Mistral Large 4 was released on 2026-10-06.
Mistral Large 4 is 0 month newer than GPT-6 Luna.
Sep 22, 2026
2 weeks ago
Oct 6, 2026
1 days ago
2w newerKnowledge Cutoff
When training data ends
GPT-6 Luna has a documented knowledge cutoff of 2026-05-18, while Mistral Large 4'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 Large 4's cutoff date.
May 2026
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Provider Availability
GPT-6 Luna is available from OpenAI. Mistral Large 4 is available from Mistral AI.
GPT-6 Luna
Mistral Large 4
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6 Luna and Mistral Large 4 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6 Luna vs Mistral Large 4.