GPT-4 Turbo vs Mistral Large 4
Mistral Large 4 leads the LLM Stats Score 46.4 to 9.0. Mistral Large 4 is 14.5x cheaper per token.
OpenAI · Mistral AI · Updated for 2026
Which is better?
Mistral Large 4 leads the overall LLM Stats Score 46.4 to 9.0, ranking #32 overall.
On price, Mistral Large 4 is roughly 14.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Mistral Large 4 also accepts a larger context window (1,000,000 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-4 Turbo
- you want predictable pricing at $10.00/M input and $30.00/M output
Choose Mistral Large 4
- overall performance matters — it scores 46.4 and ranks #32 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- cost matters — it's about 14.5x cheaper per token
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Oct 2026
At a glance
The differences that matter most.
Individual benchmarks
6 reported for GPT-4 Turbo · 15 for Mistral Large 4
GPT-4 Turbo and Mistral Large 4don'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-4 Turbo ($10.00/1M tokens) is 14.7x more expensive than Mistral Large 4 ($0.68/1M tokens).
For output processing, GPT-4 Turbo ($30.00/1M tokens) is 14.4x more expensive than Mistral Large 4 ($2.09/1M tokens).
In conclusion, GPT-4 Turbo 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
Mistral Large 4 accepts 1,000,000 input tokens compared to GPT-4 Turbo's 128,000 tokens. Only GPT-4 Turbo specifies output context (4,096 tokens).
Input capabilities
Documented input modalities across available providers
Mistral Large 4 supports multimodal inputs, whereas GPT-4 Turbo does not.
Mistral Large 4 can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4 Turbo
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-4 Turbo was released on 2024-04-09, while Mistral Large 4 was released on 2026-10-06.
Mistral Large 4 is 30 months newer than GPT-4 Turbo.
Apr 9, 2024
2.5 years ago
Oct 6, 2026
1 days ago
2.5yr newerKnowledge Cutoff
When training data ends
GPT-4 Turbo has a documented knowledge cutoff of 2023-12-31, while Mistral Large 4's cutoff date is not specified.
We can confirm GPT-4 Turbo's training data extends to 2023-12-31, but cannot make a direct comparison without Mistral Large 4's cutoff date.
Dec 2023
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Provider Availability
GPT-4 Turbo is available from Azure, OpenAI. Mistral Large 4 is available from Mistral AI.
GPT-4 Turbo
Mistral Large 4
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4 Turbo and Mistral Large 4 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4 Turbo vs Mistral Large 4.