GPT-4.1 mini vs Mistral Large 2
GPT-4.1 mini and Mistral Large 2 are closely matched at 14.2 and 7.7 on the LLM Stats Score. GPT-4.1 mini is 4.3x cheaper per token.
OpenAI · Mistral AI · Updated for 2026
Which is better?
GPT-4.1 mini and Mistral Large 2 are closely matched on the overall LLM Stats Score at 14.2 and 7.7.
In the 1 individual benchmarks reported for both models, GPT-4.1 mini wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, GPT-4.1 mini is roughly 4.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-4.1 mini 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 mini
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- cost matters — it's about 4.3x cheaper per token
- you process long inputs — it offers a 1,047,576 token context window
- you want the most recent training data — it shipped Apr 2025
Choose Mistral Large 2
- your work emphasizes coding — it leads those capability indexes
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
28 reported for GPT-4.1 mini · 5 for Mistral Large 2
GPT-4.1 mini outperforms in 1 benchmarks (MMLU), while Mistral Large 2 is better at 0 benchmarks.
GPT-4.1 mini 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-4.1 mini ($0.40/1M tokens) is 5.0x cheaper than Mistral Large 2 ($2.00/1M tokens).
For output processing, GPT-4.1 mini ($1.60/1M tokens) is 3.8x cheaper than Mistral Large 2 ($6.00/1M tokens).
In conclusion, Mistral Large 2 is more expensive than GPT-4.1 mini.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-4.1 mini accepts 1,047,576 input tokens compared to Mistral Large 2's 128,000 tokens. Mistral Large 2 can generate longer responses up to 128,000 tokens, while GPT-4.1 mini is limited to 32,768 tokens.
Input capabilities
Documented input modalities across available providers
GPT-4.1 mini supports multimodal inputs, whereas Mistral Large 2 does not.
GPT-4.1 mini can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4.1 mini
Mistral Large 2
License
Usage and distribution terms
GPT-4.1 mini is licensed under a proprietary license, while Mistral Large 2 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-4.1 mini was released on 2025-04-14, while Mistral Large 2 was released on 2024-07-24.
GPT-4.1 mini is 9 months newer than Mistral Large 2.
Apr 14, 2025
1.4 years ago
8mo newerJul 24, 2024
2.1 years ago
Knowledge Cutoff
When training data ends
GPT-4.1 mini has a documented knowledge cutoff of 2024-05-31, while Mistral Large 2's cutoff date is not specified.
We can confirm GPT-4.1 mini's training data extends to 2024-05-31, but cannot make a direct comparison without Mistral Large 2's cutoff date.
May 2024
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Provider Availability
GPT-4.1 mini is available from OpenAI. Mistral Large 2 is available from Google, Mistral AI.
GPT-4.1 mini
Mistral Large 2
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4.1 mini and Mistral Large 2 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4.1 mini vs Mistral Large 2.