Ministral 8B Instruct vs Mistral Large 4
Mistral Large 4 leads the LLM Stats Score 46.4 to -4.7. Ministral 8B Instruct is 10.3x cheaper per token.
Mistral AI · Mistral AI · Updated for 2026
Which is better?
Mistral Large 4 leads the overall LLM Stats Score 46.4 to -4.7, ranking #33 overall.
On price, Ministral 8B Instruct is roughly 10.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Mistral Large 4 also accepts a larger context window (1,000,000 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 Ministral 8B Instruct
- cost matters — it's about 10.3x cheaper per token
- you need open weights you can self-host or fine-tune
Choose Mistral Large 4
- overall performance matters — it scores 46.4 and ranks #33 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Oct 2026
At a glance
The differences that matter most.
Individual benchmarks
11 reported for Ministral 8B Instruct · 15 for Mistral Large 4
Ministral 8B Instruct and Mistral Large 4don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Ministral 8B Instruct ($0.10/1M tokens) is 6.8x cheaper than Mistral Large 4 ($0.68/1M tokens).
For output processing, Ministral 8B Instruct ($0.10/1M tokens) is 20.9x cheaper than Mistral Large 4 ($2.09/1M tokens).
In conclusion, Mistral Large 4 is more expensive than Ministral 8B Instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Mistral Large 4 has 1042.0B more parameters than Ministral 8B Instruct, making it 12992.6% larger.
Context Window
Maximum input and output token capacity
Mistral Large 4 accepts 1,000,000 input tokens compared to Ministral 8B Instruct's 128,000 tokens. Only Ministral 8B Instruct specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
Mistral Large 4 supports multimodal inputs, whereas Ministral 8B Instruct does not.
Mistral Large 4 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Ministral 8B Instruct
Mistral Large 4
License
Usage and distribution terms
Ministral 8B Instruct is licensed under Mistral Research License, while Mistral Large 4 uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Mistral Research License
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Ministral 8B Instruct was released on 2024-10-16, while Mistral Large 4 was released on 2026-10-06.
Mistral Large 4 is 24 months newer than Ministral 8B Instruct.
Oct 16, 2024
2.0 years ago
Oct 6, 2026
1 days ago
2.0yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Ministral 8B Instruct is available from Mistral AI. Mistral Large 4 is available from Mistral AI.
Ministral 8B Instruct
Mistral Large 4
Outputs Comparison
Judge for yourself.
Run your own prompts against Ministral 8B Instruct and Mistral Large 4 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Ministral 8B Instruct vs Mistral Large 4.