Model Comparison

DeepSeek VL2 vs Mistral Large 2Which is better in 2026?

Comparing DeepSeek VL2 and Mistral Large 2 across benchmarks, pricing, and capabilities.

Verdict: DeepSeek VL2 vs Mistral Large 2 — which is better?

DeepSeek VL2 (by DeepSeek) and Mistral Large 2 (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 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 Mistral Large 2 if…

  • you want predictable pricing at $2.00/M input and $6.00/M output

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek VL2 and Mistral Large 2don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

96.0B diff

Mistral Large 2 has 96.0B more parameters than DeepSeek VL2, making it 355.6% larger.

DeepSeek
DeepSeek VL2
27.0Bparameters
Mistral AI
Mistral Large 2
123.0Bparameters
27.0B
DeepSeek VL2
123.0B
Mistral Large 2

Context Window

Maximum input and output token capacity

DeepSeek VL2 accepts 129,280 input tokens compared to Mistral Large 2's 128,000 tokens. DeepSeek VL2 can generate longer responses up to 129,280 tokens, while Mistral Large 2 is limited to 128,000 tokens.

DeepSeek
DeepSeek VL2
Input129,280 tokens
Output129,280 tokens
Mistral AI
Mistral Large 2
Input128,000 tokens
Output128,000 tokens
Tue Jul 28 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

DeepSeek VL2 supports multimodal inputs, whereas Mistral Large 2 does not.

DeepSeek VL2 can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek VL2

Text
Images
Audio
Video

Mistral Large 2

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 is licensed under deepseek, while Mistral Large 2 uses Mistral Research License.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek VL2

deepseek

Open weights

Mistral Large 2

Mistral Research License

Open weights

Release Timeline

When each model was launched

DeepSeek VL2 was released on 2024-12-13, while Mistral Large 2 was released on 2024-07-24.

DeepSeek VL2 is 5 months newer than Mistral Large 2.

DeepSeek VL2

Dec 13, 2024

1.6 years ago

4mo newer
Mistral Large 2

Jul 24, 2024

2.0 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. Mistral Large 2 is available from Google, Mistral AI.

DeepSeek VL2

replicate logo
Replicate

Mistral Large 2

google logo
Google
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M
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

DeepSeek
Larger context window (129,280 tokens)
Supports multimodal inputs
Mistral AI

No standout differentiators in the data we have for this pair.

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DeepSeek VL2 and Mistral Large 2 side-by-side, then vote on the output you prefer.

DeepSeek VL2
✓ Preferred
Mistral Large 2
Open in Playground
AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2
Mistral AI
Mistral Large 2

FAQ

Common questions about DeepSeek VL2 vs Mistral Large 2.

Which is better, DeepSeek VL2 or Mistral Large 2?

DeepSeek VL2 (DeepSeek) and Mistral Large 2 (Mistral AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does DeepSeek VL2 compare to Mistral Large 2 in benchmarks?

DeepSeek VL2 scores DocVQA: 93.3%, ChartQA: 86.0%, TextVQA: 84.2%, AI2D: 81.4%, OCRBench: 81.1%. Mistral Large 2 scores GSM8k: 93.0%, HumanEval: 92.0%, MT-Bench: 86.3%, MMLU: 84.0%, MMLU French: 82.8%.

What are the context window sizes for DeepSeek VL2 and Mistral Large 2?

DeepSeek VL2 supports 129K tokens and Mistral Large 2 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 Mistral Large 2?

Key differences include context window (129K vs 128K), multimodal support (yes vs no), licensing (deepseek vs Mistral Research License). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 and Mistral Large 2?

DeepSeek VL2 is developed by DeepSeek and Mistral Large 2 is developed by Mistral AI.

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