GPT-6 Astra vs Mistral Large 4
GPT-6 Astra leads the LLM Stats Score 58.3 to 46.2. Mistral Large 4 is 19.4x cheaper per token.
OpenAI · Mistral AI · Updated for 2026
Which is better?
GPT-6 Astra leads the overall LLM Stats Score 58.3 to 46.2, ranking #3 overall.
In the 3 individual benchmarks reported for both models, GPT-6 Astra wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Mistral Large 4 is roughly 19.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-6 Astra 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 Astra
- overall performance matters — it scores 58.3 and ranks #3 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 3 exact shared results
- you process long inputs — it offers a 1,050,000 token context window
Choose Mistral Large 4
- cost matters — it's about 19.4x cheaper per token
- 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
22 reported for GPT-6 Astra · 18 for Mistral Large 4
GPT-6 Astra outperforms in 2 benchmarks (DeepSWE 1.1, Terminal-Bench 4.0), while Mistral Large 4 is better at 1 benchmark (AutomationBench).
GPT-6 Astra shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-6 Astra ($10.00/1M tokens) is 14.7x more expensive than Mistral Large 4 ($0.68/1M tokens).
For output processing, GPT-6 Astra ($50.00/1M tokens) is 23.9x more expensive than Mistral Large 4 ($2.09/1M tokens).
In conclusion, GPT-6 Astra is more expensive than Mistral Large 4.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-6 Astra accepts 1,050,000 input tokens compared to Mistral Large 4's 1,000,000 tokens. Only GPT-6 Astra specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
Both GPT-6 Astra and Mistral Large 4 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-6 Astra
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 Astra was released on 2026-09-04, while Mistral Large 4 was released on 2026-10-06.
Mistral Large 4 is 1 month newer than GPT-6 Astra.
Sep 4, 2026
1 months ago
Oct 6, 2026
2 days ago
1mo newerKnowledge Cutoff
When training data ends
GPT-6 Astra has a documented knowledge cutoff of 2026-04-30, while Mistral Large 4's cutoff date is not specified.
We can confirm GPT-6 Astra's training data extends to 2026-04-30, but cannot make a direct comparison without Mistral Large 4's cutoff date.
Apr 2026
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Provider Availability
GPT-6 Astra is available from OpenAI. Mistral Large 4 is available from Mistral AI.
GPT-6 Astra
Mistral Large 4
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6 Astra and Mistral Large 4 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6 Astra vs Mistral Large 4.