Model Comparison

DeepSeek VL2 vs Pixtral LargeWhich is better in 2026?

Pixtral Large significantly outperforms across most benchmarks.

Verdict: DeepSeek VL2 vs Pixtral Large — which is better?

DeepSeek VL2 (by DeepSeek) and Pixtral Large (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.

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.

DeepSeek VL2 also accepts a larger context window (129,280 input tokens), making it the stronger choice for long documents and large codebases.

Choose DeepSeek VL2 if…

  • 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 if…

  • you want the strongest raw capability — it leads on 5 of 5 shared benchmarks

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

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.

Sun Jul 19 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

97.0B diff

Pixtral Large has 97.0B more parameters than DeepSeek VL2, making it 359.3% larger.

DeepSeek
DeepSeek VL2
27.0Bparameters
Mistral AI
Pixtral Large
124.0Bparameters
27.0B
DeepSeek VL2
124.0B
Pixtral Large

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.

DeepSeek
DeepSeek VL2
Input129,280 tokens
Output129,280 tokens
Mistral AI
Pixtral Large
Input128,000 tokens
Output128,000 tokens
Sun Jul 19 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

Text
Images
Audio
Video

Pixtral Large

Text
Images
Audio
Video

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 VL2

deepseek

Open weights

Pixtral Large

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.

DeepSeek VL2

Dec 13, 2024

1.6 years ago

3w newer
Pixtral Large

Nov 18, 2024

1.7 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

DeepSeek VL2 is available from Replicate. Pixtral Large is available from Mistral AI.

DeepSeek VL2

replicate logo
Replicate

Pixtral Large

mistral logo
Mistral
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (129,280 tokens)
Higher AI2D score (93.8% vs 81.4%)
Higher ChartQA score (88.1% vs 86.0%)
Higher MathVista score (69.4% vs 62.8%)
Higher MMMU score (64.0% vs 51.1%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DeepSeek VL2 and Pixtral Large side-by-side, then vote on the output you prefer.

DeepSeek VL2
✓ Preferred
Pixtral Large
Open in Playground
AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2
Mistral AI
Pixtral Large

FAQ

Common questions about DeepSeek VL2 vs Pixtral Large.

Which is better, DeepSeek VL2 or Pixtral Large?

Pixtral Large significantly outperforms across most benchmarks. DeepSeek VL2 is made by DeepSeek and Pixtral Large is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek VL2 compare to Pixtral Large in benchmarks?

DeepSeek VL2 scores DocVQA: 93.3%, ChartQA: 86.0%, TextVQA: 84.2%, AI2D: 81.4%, OCRBench: 81.1%. Pixtral Large scores AI2D: 93.8%, DocVQA: 93.3%, ChartQA: 88.1%, VQAv2: 80.9%, MM-MT-Bench: 74.0%.

What are the context window sizes for DeepSeek VL2 and Pixtral Large?

DeepSeek VL2 supports 129K tokens and Pixtral Large supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek VL2 and Pixtral Large?

Key differences include context window (129K vs 128K), licensing (deepseek vs Mistral Research License (MRL) for research; Mistral Commercial License for commercial use). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 and Pixtral Large?

DeepSeek VL2 is developed by DeepSeek and Pixtral Large is developed by Mistral AI.