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DeepSeek VL2 Tiny vs Mistral Large 4

Mistral Large 4 leads the LLM Stats Score 46.2 to -4.7.

DeepSeek · Mistral AI · Updated for 2026

Which is better?

Mistral Large 4 leads the overall LLM Stats Score 46.2 to -4.7, ranking #34 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose DeepSeek VL2 Tiny

  • 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 want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

DeepSeek VL2 Tiny
DeepSeek
Mistral Large 4
Mistral AI
Core performance indexes
LLM Stats Score
-4.7
#367
46.2
#34
Reasoning
-12.7
#378
44.0
#43
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.68 / M
Output price
— / M
$2.09 / M
Context window
—
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
DeepSeek VL2 Tiny
Mistral Large 4
Vision
-5.2#211
1.1#187
Multimodal
-3.1#173
1.7#160
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

14 reported for DeepSeek VL2 Tiny · 18 for Mistral Large 4

No common benchmarks found

DeepSeek VL2 Tiny 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

1047.0B diff

Mistral Large 4 has 1047.0B more parameters than DeepSeek VL2 Tiny, making it 34900.0% larger.

DeepSeek
DeepSeek VL2 Tiny
3.0Bparameters
Mistral AI
Mistral Large 4
1.1Tparameters
3.0B
DeepSeek VL2 Tiny
1050.0B
Mistral Large 4

Context Window

Maximum input and output token capacity

Only Mistral Large 4 specifies input context (1,000,000 tokens).

DeepSeek
DeepSeek VL2 Tiny
Input- tokens
Output- 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 Tiny and Mistral Large 4 support multimodal inputs.

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

DeepSeek VL2 Tiny

Text
Images
Audio
Video

Mistral Large 4

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 Tiny 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 Tiny

deepseek

Open weights

Mistral Large 4

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek VL2 Tiny 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 Tiny.

DeepSeek VL2 Tiny

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

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

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

DeepSeek VL2 Tiny
✓ Preferred
Mistral Large 4
Open in Playground

FAQ

Common questions about DeepSeek VL2 Tiny vs Mistral Large 4.

Which is better, DeepSeek VL2 Tiny or Mistral Large 4?

Mistral Large 4 leads the LLM Stats Score 46.2 to -4.7. DeepSeek VL2 Tiny 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 Tiny compare to Mistral Large 4 in benchmarks?

DeepSeek VL2 Tiny scores DocVQA: 88.9%, ChartQA: 81.0%, OCRBench: 80.9%, TextVQA: 80.7%, AI2D: 71.6%. 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 Tiny and Mistral Large 4?

DeepSeek VL2 Tiny supports an unknown number of 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 Tiny and Mistral Large 4?

Key differences include LLM Stats Score (-4.7 vs 46.2), licensing (deepseek vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 Tiny and Mistral Large 4?

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

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