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DeepSeek VL2 vs Mistral Large 4

Mistral Large 4 leads the LLM Stats Score 46.2 to 2.9.

DeepSeek · Mistral AI · Updated for 2026

Which is better?

Mistral Large 4 leads the overall LLM Stats Score 46.2 to 2.9, ranking #34 overall.

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 DeepSeek VL2

  • you need open weights you can self-host or fine-tune

Choose Mistral Large 4

  • overall performance matters — it scores 46.2 and ranks #34 on LLM Stats
  • your work emphasizes reasoning — 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.

DeepSeek VL2
DeepSeek
Mistral Large 4
Mistral AI
Core performance indexes
LLM Stats Score
2.9
#327
46.2
#34
Reasoning
-1.9
#345
44.0
#43
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.68 / M
Output price
— / M
$2.09 / M
Context window
129,280
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
DeepSeek VL2
Mistral Large 4
Vision
2.1#178
1.1#187
Multimodal
5.0#148
1.7#160
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

14 reported for DeepSeek VL2 · 18 for Mistral Large 4

No common benchmarks found

DeepSeek VL2 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

Model Size

Parameter count comparison

1023.0B diff

Mistral Large 4 has 1023.0B more parameters than DeepSeek VL2, making it 3788.9% larger.

DeepSeek
DeepSeek VL2
27.0Bparameters
Mistral AI
Mistral Large 4
1.1Tparameters
27.0B
DeepSeek VL2
1050.0B
Mistral Large 4

Context Window

Maximum input and output token capacity

Mistral Large 4 accepts 1,000,000 input tokens compared to DeepSeek VL2's 129,280 tokens. Only DeepSeek VL2 specifies output context (129,280 tokens).

DeepSeek
DeepSeek VL2
Input129,280 tokens
Output129,280 tokens
Mistral AI
Mistral Large 4
Input1,000,000 tokens
Output- tokens
Sat Oct 10 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek VL2 and Mistral Large 4 support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

DeepSeek VL2

Text
Images
Audio
Video

Mistral Large 4

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 is licensed under deepseek, while Mistral Large 4 uses a proprietary license.

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

DeepSeek VL2

deepseek

Open weights

Mistral Large 4

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek VL2 was released on 2024-12-13, while Mistral Large 4 was released on 2026-10-06.

Mistral Large 4 is 22 months newer than DeepSeek VL2.

DeepSeek VL2

Dec 13, 2024

1.8 years ago

Mistral Large 4

Oct 6, 2026

3 days ago

1.8yr newer

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 4 is available from Mistral AI.

DeepSeek VL2

replicate logo
Replicate

Mistral Large 4

mistral logo
Mistral
Input Price:Input: $0.68/1MOutput Price:Output: $2.09/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against DeepSeek VL2 and Mistral Large 4 side-by-side, then vote on the output you prefer.

DeepSeek VL2
✓ Preferred
Mistral Large 4
Open in Playground

FAQ

Common questions about DeepSeek VL2 vs Mistral Large 4.

Which is better, DeepSeek VL2 or Mistral Large 4?

Mistral Large 4 leads the LLM Stats Score 46.2 to 2.9. DeepSeek VL2 is made by DeepSeek and Mistral Large 4 is made by Mistral AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek VL2 compare to Mistral Large 4 in benchmarks?

DeepSeek VL2 scores DocVQA: 93.3%, ChartQA: 86.0%, TextVQA: 84.2%, AI2D: 81.4%, OCRBench: 81.1%. Mistral Large 4 scores B3 AI Security Benchmark: 93.3%, CyBench: 93.0%, SciCode: 91.8%, KORABench: 84.5%, CyberGym: 82.0%.

What are the context window sizes for DeepSeek VL2 and Mistral Large 4?

DeepSeek VL2 supports 129K tokens and Mistral Large 4 supports 1.0M 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 4?

Key differences include LLM Stats Score (2.9 vs 46.2), context window (129K vs 1.0M), licensing (deepseek vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 and Mistral Large 4?

DeepSeek VL2 is developed by DeepSeek and Mistral Large 4 is developed by Mistral AI.

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