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Mistral Large 4 vs Step3-VL-10B

Mistral Large 4 leads the LLM Stats Score 45.8 to 25.2.

Mistral AI · StepFun · Updated for 2026

Which is better?

Mistral Large 4 leads the overall LLM Stats Score 45.8 to 25.2, ranking #39 overall.

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

Choose Mistral Large 4

  • overall performance matters — it scores 45.8 and ranks #39 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

Choose Step3-VL-10B

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

At a glance

The differences that matter most.

Mistral Large 4
Mistral AI
Step3-VL-10B
StepFun
Core performance indexes
LLM Stats Score
45.8
#39
25.2
#182
Reasoning
43.9
#48
25.2
#176
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.68 / M
— / M
Output price
$2.09 / M
— / M
Context window
1,000,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Mistral Large 4
Step3-VL-10B
Vision
1.4#193
16.3#104
Multimodal
2.0#168
19.9#85
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

18 reported for Mistral Large 4 · 6 for Step3-VL-10B

No common benchmarks found

Mistral Large 4 and Step3-VL-10Bdon'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

1040.0B diff

Mistral Large 4 has 1040.0B more parameters than Step3-VL-10B, making it 10400.0% larger.

Mistral AI
Mistral Large 4
1.1Tparameters
StepFun
Step3-VL-10B
10.0Bparameters
1050.0B
Mistral Large 4
10.0B
Step3-VL-10B

Context Window

Maximum input and output token capacity

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

Mistral AI
Mistral Large 4
Input1,000,000 tokens
Output- tokens
StepFun
Step3-VL-10B
Input- tokens
Output- tokens
Fri Oct 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Mistral Large 4 and Step3-VL-10B support multimodal inputs.

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

Mistral Large 4

Text
Images
Audio
Video

Step3-VL-10B

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral Large 4 is licensed under a proprietary license, while Step3-VL-10B uses Apache 2.0.

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

Mistral Large 4

Proprietary

Closed source

Step3-VL-10B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Mistral Large 4 was released on 2026-10-06, while Step3-VL-10B was released on 2026-01-15.

Mistral Large 4 is 9 months newer than Step3-VL-10B.

Mistral Large 4

Oct 6, 2026

2 weeks ago

8mo newer
Step3-VL-10B

Jan 15, 2026

9 months 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

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Mistral Large 4 and Step3-VL-10B side-by-side, then vote on the output you prefer.

Mistral Large 4
✓ Preferred
Step3-VL-10B
Open in Playground

FAQ

Common questions about Mistral Large 4 vs Step3-VL-10B.

Which is better, Mistral Large 4 or Step3-VL-10B?

Mistral Large 4 leads the LLM Stats Score 45.8 to 25.2. Mistral Large 4 is made by Mistral AI and Step3-VL-10B is made by StepFun. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Mistral Large 4 compare to Step3-VL-10B in benchmarks?

Mistral Large 4 scores B3 AI Security Benchmark: 93.3%, CyBench: 93.0%, SciCode: 91.8%, KORABench: 84.5%, CyberGym: 82.0%. Step3-VL-10B scores MMBench: 91.8%, AIME 2025: 87.7%, MathVista: 84.0%, MMMU: 78.1%, MathVision: 70.8%.

What are the context window sizes for Mistral Large 4 and Step3-VL-10B?

Mistral Large 4 supports 1.0M tokens and Step3-VL-10B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Mistral Large 4 and Step3-VL-10B?

Key differences include LLM Stats Score (45.8 vs 25.2), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Large 4 and Step3-VL-10B?

Mistral Large 4 is developed by Mistral AI and Step3-VL-10B is developed by StepFun.

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