GPT-4o mini vs Mistral NeMo Instruct
GPT-4o mini leads the LLM Stats Score 3.6 to -4.8. Mistral NeMo Instruct is 12.1x cheaper per token.
OpenAI · Mistral AI · Updated for 2026
Which is better?
GPT-4o mini leads the overall LLM Stats Score 3.6 to -4.8, ranking #306 overall.
In the 1 individual benchmarks reported for both models, GPT-4o mini wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Mistral NeMo Instruct is roughly 12.1x 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 (131,072 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-4o mini
- overall performance matters — it scores 3.6 and ranks #306 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
Choose Mistral NeMo Instruct
- cost matters — it's about 12.1x cheaper per token
- you process long inputs — it offers a 131,072 token context window
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
9 reported for GPT-4o mini · 8 for Mistral NeMo Instruct
GPT-4o mini outperforms in 1 benchmarks (MMLU), while Mistral NeMo Instruct is better at 0 benchmarks.
GPT-4o 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-4o mini ($0.15/1M tokens) is 7.9x more expensive than Mistral NeMo Instruct ($0.02/1M tokens).
For output processing, GPT-4o mini ($0.60/1M tokens) is 20.0x more expensive than Mistral NeMo Instruct ($0.03/1M tokens).
In conclusion, GPT-4o mini 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 131,072 input tokens compared to GPT-4o mini's 128,000 tokens. Mistral NeMo Instruct can generate longer responses up to 131,072 tokens, while GPT-4o mini is limited to 16,384 tokens.
Input capabilities
Documented input modalities across available providers
GPT-4o mini supports multimodal inputs, whereas Mistral NeMo Instruct does not.
GPT-4o mini can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4o mini
Mistral NeMo Instruct
License
Usage and distribution terms
GPT-4o mini 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
Both models were released on 2024-07-18.
They likely represent similar generations of model development.
Jul 18, 2024
2.2 years ago
Jul 18, 2024
2.2 years ago
Knowledge Cutoff
When training data ends
GPT-4o mini has a documented knowledge cutoff of 2023-10-01, while Mistral NeMo Instruct's cutoff date is not specified.
We can confirm GPT-4o mini's training data extends to 2023-10-01, but cannot make a direct comparison without Mistral NeMo Instruct's cutoff date.
Oct 2023
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Provider Availability
GPT-4o mini is available from Azure. Mistral NeMo Instruct is available from DeepInfra, Google, Mistral AI.
GPT-4o mini
Mistral NeMo Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4o mini and Mistral NeMo Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4o mini vs Mistral NeMo Instruct.