Model Comparison
GPT-4 vs Mistral NeMo InstructWhich is better in 2026?
GPT-4 significantly outperforms across most benchmarks. Mistral NeMo Instruct is 250.0x cheaper per token.
Verdict: GPT-4 vs Mistral NeMo Instruct — which is better?
GPT-4 (by OpenAI) and Mistral NeMo Instruct (by Mistral AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
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.
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.
Choose GPT-4 if…
- you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
Choose Mistral NeMo Instruct if…
- 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
Performance Benchmarks
Comparative analysis across standard metrics
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.
Arena Performance
Human preference votes
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
Supported data types and modalities
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
3.0 years ago
Jul 18, 2024
1.9 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
Key Takeaways
GPT-4
View detailsOpenAI
Mistral NeMo Instruct
View detailsMistral AI
Detailed Comparison
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FAQ
Common questions about GPT-4 vs Mistral NeMo Instruct.