GPT-4.1 nano vs Mistral NeMo Instruct
GPT-4.1 nano significantly outperforms across most benchmarks. Mistral NeMo Instruct is 1.2x cheaper per token.
OpenAI · Mistral AI · Updated for 2026
Which is better?
GPT-4.1 nano outperforms in 1 benchmarks (MMLU), while Mistral NeMo Instruct is better at 0 benchmarks. GPT-4.1 nano significantly outperforms across most benchmarks.
On price, Mistral NeMo Instruct is roughly 1.2x 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 benchmark, pricing, and model metadata for 2026.
Choose GPT-4.1 nano
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- 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 NeMo Instruct
- cost matters — it's about 1.2x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-4.1 nano outperforms in 1 benchmarks (MMLU), while Mistral NeMo Instruct is better at 0 benchmarks.
GPT-4.1 nano significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-4.1 nano ($0.10/1M tokens) is 1.5x cheaper than Mistral NeMo Instruct ($0.15/1M tokens).
For output processing, GPT-4.1 nano ($0.40/1M tokens) is 2.7x more expensive than Mistral NeMo Instruct ($0.15/1M tokens).
In conclusion, GPT-4.1 nano is more expensive than Mistral NeMo Instruct.*
* 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 NeMo Instruct's 128,000 tokens. Mistral NeMo Instruct can generate longer responses up to 128,000 tokens, while GPT-4.1 nano is limited to 32,768 tokens.
Input Capabilities
Supported data types and modalities
GPT-4.1 nano supports multimodal inputs, whereas Mistral NeMo Instruct does not.
GPT-4.1 nano can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4.1 nano
Mistral NeMo Instruct
License
Usage and distribution terms
GPT-4.1 nano is licensed under a proprietary license, while Mistral NeMo Instruct uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
GPT-4.1 nano was released on 2025-04-14, while Mistral NeMo Instruct was released on 2024-07-18.
GPT-4.1 nano is 9 months newer than Mistral NeMo Instruct.
Apr 14, 2025
1.4 years ago
9mo newerJul 18, 2024
2.1 years ago
Knowledge Cutoff
When training data ends
GPT-4.1 nano has a documented knowledge cutoff of 2024-05-31, while Mistral NeMo Instruct'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 NeMo Instruct's cutoff date.
May 2024
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Provider Availability
GPT-4.1 nano is available from OpenAI. Mistral NeMo Instruct is available from Google, Mistral AI.
GPT-4.1 nano
Mistral NeMo Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4.1 nano and Mistral NeMo Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4.1 nano vs Mistral NeMo Instruct.