GPT-4.1 nano vs Mistral Large 4
Mistral Large 4 leads the LLM Stats Score 46.2 to 1.6. GPT-4.1 nano is 5.9x cheaper per token.
OpenAI · Mistral AI · Updated for 2026
Which is better?
Mistral Large 4 leads the overall LLM Stats Score 46.2 to 1.6, ranking #34 overall.
On price, GPT-4.1 nano is roughly 5.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-4.1 nano also accepts a larger context window (1,047,576 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-4.1 nano
- cost matters — it's about 5.9x cheaper per token
- you process long inputs — it offers a 1,047,576 token context window
Choose Mistral Large 4
- overall performance matters — it scores 46.2 and ranks #34 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- 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
24 reported for GPT-4.1 nano · 18 for Mistral Large 4
GPT-4.1 nano 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-4.1 nano ($0.10/1M tokens) is 6.8x cheaper than Mistral Large 4 ($0.68/1M tokens).
For output processing, GPT-4.1 nano ($0.40/1M tokens) is 5.2x cheaper than Mistral Large 4 ($2.09/1M tokens).
In conclusion, Mistral Large 4 is more expensive than GPT-4.1 nano.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-4.1 nano accepts 1,047,576 input tokens compared to Mistral Large 4's 1,000,000 tokens. Only GPT-4.1 nano specifies output context (32,768 tokens).
Input capabilities
Documented input modalities across available providers
Both GPT-4.1 nano and Mistral Large 4 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-4.1 nano
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-4.1 nano was released on 2025-04-14, while Mistral Large 4 was released on 2026-10-06.
Mistral Large 4 is 18 months newer than GPT-4.1 nano.
Apr 14, 2025
1.5 years ago
Oct 6, 2026
2 days ago
1.5yr newerKnowledge Cutoff
When training data ends
GPT-4.1 nano has a documented knowledge cutoff of 2024-05-31, while Mistral Large 4's cutoff date is not specified.
We can confirm GPT-4.1 nano's training data extends to 2024-05-31, but cannot make a direct comparison without Mistral Large 4's cutoff date.
May 2024
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Provider Availability
GPT-4.1 nano is available from OpenAI. Mistral Large 4 is available from Mistral AI.
GPT-4.1 nano
Mistral Large 4
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4.1 nano and Mistral Large 4 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4.1 nano vs Mistral Large 4.