DeepSeek VL2 vs Pixtral Large
Pixtral Large leads the LLM Stats Score 11.8 to 2.9.
DeepSeek · Mistral AI · Updated for 2026
Which is better?
Pixtral Large leads the overall LLM Stats Score 11.8 to 2.9, ranking #272 overall.
In the 5 individual benchmarks reported for both models, Pixtral Large wins 5; this is a narrower head-to-head signal than the composite indexes.
DeepSeek VL2 also accepts a larger context window (129,280 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 VL2
- you process long inputs — it offers a 129,280 token context window
- you want the most recent training data — it shipped Dec 2024
Choose Pixtral Large
- overall performance matters — it scores 11.8 and ranks #272 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 5 of 5 exact shared results
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
14 reported for DeepSeek VL2 · 7 for Pixtral Large
DeepSeek VL2 outperforms in 0 benchmarks, while Pixtral Large is better at 4 benchmarks (AI2D, ChartQA, MathVista, MMMU).
Pixtral Large significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Pixtral Large has 97.0B more parameters than DeepSeek VL2, making it 359.3% larger.
Context Window
Maximum input and output token capacity
DeepSeek VL2 accepts 129,280 input tokens compared to Pixtral Large's 128,000 tokens. DeepSeek VL2 can generate longer responses up to 129,280 tokens, while Pixtral Large is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both DeepSeek VL2 and Pixtral Large support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
DeepSeek VL2
Pixtral Large
License
Usage and distribution terms
DeepSeek VL2 is licensed under deepseek, while Pixtral Large uses Mistral Research License (MRL) for research; Mistral Commercial License for commercial use.
License differences may affect how you can use these models in commercial or open-source projects.
deepseek
Open weights
Mistral Research License (MRL) for research; Mistral Commercial License for commercial use
Open weights
Release Timeline
When each model was launched
DeepSeek VL2 was released on 2024-12-13, while Pixtral Large was released on 2024-11-18.
DeepSeek VL2 is 1 month newer than Pixtral Large.
Dec 13, 2024
1.8 years ago
3w newerNov 18, 2024
1.9 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek VL2 is available from Replicate. Pixtral Large is available from Mistral AI.
DeepSeek VL2
Pixtral Large
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek VL2 and Pixtral Large side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek VL2 vs Pixtral Large.