GPT-4 vs Mistral NeMo Instruct
GPT-4 leads the LLM Stats Score 3.2 to -5.0. Mistral NeMo Instruct is 250.0x cheaper per token.
OpenAI · Mistral AI · Updated for 2026
Which is better?
GPT-4 leads the overall LLM Stats Score 3.2 to -5.0, ranking #298 overall.
In the 3 individual benchmarks reported for both models, GPT-4 wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, Mistral NeMo Instruct is roughly 250.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Mistral NeMo Instruct also accepts a larger context window (128,000 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
- overall performance matters — it scores 3.2 and ranks #298 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 3 of 3 exact shared results
Choose Mistral NeMo Instruct
- cost matters — it's about 250.0x cheaper per token
- you process long inputs — it offers a 128,000 token context window
- you want the most recent training data — it shipped Jul 2024
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
12 reported for GPT-4 · 8 for Mistral NeMo Instruct
GPT-4 outperforms in 3 benchmarks (HellaSwag, MMLU, Winogrande), while Mistral NeMo Instruct is better at 0 benchmarks.
GPT-4 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 ($30.00/1M tokens) is 200.0x more expensive than Mistral NeMo Instruct ($0.15/1M tokens).
For output processing, GPT-4 ($60.00/1M tokens) is 400.0x more expensive than Mistral NeMo Instruct ($0.15/1M tokens).
In conclusion, GPT-4 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
Mistral NeMo Instruct accepts 128,000 input tokens compared to GPT-4's 32,768 tokens. Mistral NeMo Instruct can generate longer responses up to 128,000 tokens, while GPT-4 is limited to 32,768 tokens.
Input capabilities
Documented input modalities across available providers
GPT-4 supports multimodal inputs, whereas Mistral NeMo Instruct does not.
GPT-4 can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4
Mistral NeMo Instruct
License
Usage and distribution terms
GPT-4 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 was released on 2023-06-13, while Mistral NeMo Instruct was released on 2024-07-18.
Mistral NeMo Instruct is 13 months newer than GPT-4.
Jun 13, 2023
3.2 years ago
Jul 18, 2024
2.1 years ago
1.1yr newerKnowledge Cutoff
When training data ends
GPT-4 has a documented knowledge cutoff of 2022-12-31, while Mistral NeMo Instruct's cutoff date is not specified.
We can confirm GPT-4's training data extends to 2022-12-31, but cannot make a direct comparison without Mistral NeMo Instruct's cutoff date.
Dec 2022
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Provider Availability
GPT-4 is available from Azure, OpenAI. Mistral NeMo Instruct is available from Google, Mistral AI.
GPT-4
Mistral NeMo Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4 and Mistral NeMo Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4 vs Mistral NeMo Instruct.