DeepSeek-V4.1-Flash vs Mistral Large 4
DeepSeek-V4.1-Flash and Mistral Large 4 are closely matched at 50.0 and 45.8 on the LLM Stats Score. DeepSeek-V4.1-Flash is 3.1x cheaper per token.
DeepSeek · Mistral AI · Updated for 2026
Which is better?
DeepSeek-V4.1-Flash and Mistral Large 4 are closely matched on the overall LLM Stats Score at 50.0 and 45.8.
In the 4 individual benchmarks reported for both models, DeepSeek-V4.1-Flash wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, DeepSeek-V4.1-Flash is roughly 3.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-V4.1-Flash also accepts a larger context window (1,040,000 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 DeepSeek-V4.1-Flash
- you value its reported benchmark strengths — it wins 3 of 4 exact shared results
- cost matters — it's about 3.1x cheaper per token
- you process long inputs — it offers a 1,040,000 token context window
- you need open weights you can self-host or fine-tune
Choose Mistral Large 4
- you want the most recent training data — it shipped Oct 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
20 reported for DeepSeek-V4.1-Flash · 18 for Mistral Large 4
DeepSeek-V4.1-Flash outperforms in 3 benchmarks (CyberGym, DeepSWE 1.1, Terminal-Bench 4.0), while Mistral Large 4 is better at 1 benchmark (AutomationBench).
DeepSeek-V4.1-Flash shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V4.1-Flash ($0.22/1M tokens) is 3.1x cheaper than Mistral Large 4 ($0.68/1M tokens).
For output processing, DeepSeek-V4.1-Flash ($0.66/1M tokens) is 3.2x cheaper than Mistral Large 4 ($2.09/1M tokens).
In conclusion, Mistral Large 4 is more expensive than DeepSeek-V4.1-Flash.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Mistral Large 4 has 286.8B more parameters than DeepSeek-V4.1-Flash, making it 37.6% larger.
Context Window
Maximum input and output token capacity
DeepSeek-V4.1-Flash accepts 1,040,000 input tokens compared to Mistral Large 4's 1,000,000 tokens. Only DeepSeek-V4.1-Flash specifies output context (393,216 tokens).
Input capabilities
Documented input modalities across available providers
Both DeepSeek-V4.1-Flash and Mistral Large 4 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
DeepSeek-V4.1-Flash
Mistral Large 4
License
Usage and distribution terms
DeepSeek-V4.1-Flash is licensed under MIT, while Mistral Large 4 uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
DeepSeek-V4.1-Flash was released on 2026-09-10, while Mistral Large 4 was released on 2026-10-06.
Mistral Large 4 is 1 month newer than DeepSeek-V4.1-Flash.
Sep 10, 2026
1 months ago
Oct 6, 2026
2 weeks ago
3w newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek-V4.1-Flash is available from Fireworks, DeepInfra, Novita. Mistral Large 4 is available from Mistral AI.
DeepSeek-V4.1-Flash
Mistral Large 4
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4.1-Flash and Mistral Large 4 side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4.1-Flash vs Mistral Large 4.