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DeepSeek-V4.1-Flash vs Step3-VL-10B

DeepSeek-V4.1-Flash leads the LLM Stats Score 51.8 to 25.5.

DeepSeek · StepFun · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash leads the overall LLM Stats Score 51.8 to 25.5, ranking #12 overall.

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

Choose DeepSeek-V4.1-Flash

  • overall performance matters — it scores 51.8 and ranks #12 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose Step3-VL-10B

  • you are already invested in the StepFun ecosystem

At a glance

The differences that matter most.

DeepSeek-V4.1-Flash
DeepSeek
Step3-VL-10B
StepFun
Core performance indexes
LLM Stats Score
51.8
#12
25.5
#155
Reasoning
48.9
#17
25.4
#150
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.22 / M
— / M
Output price
$0.66 / M
— / M
Context window
1,040,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
DeepSeek-V4.1-Flash
Step3-VL-10B
Math
35.2#43
23.5#126
Vision
29.5#31
16.4#86
Multimodal
34.3#13
20.1#69
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

20 reported for DeepSeek-V4.1-Flash · 6 for Step3-VL-10B

No common benchmarks found

DeepSeek-V4.1-Flash 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

753.2B diff

DeepSeek-V4.1-Flash has 753.2B more parameters than Step3-VL-10B, making it 7532.1% larger.

DeepSeek
DeepSeek-V4.1-Flash
763.2Bparameters
StepFun
Step3-VL-10B
10.0Bparameters
763.2B
DeepSeek-V4.1-Flash
10.0B
Step3-VL-10B

Context Window

Maximum input and output token capacity

Only DeepSeek-V4.1-Flash specifies input context (1,040,000 tokens). Only DeepSeek-V4.1-Flash specifies output context (393,216 tokens).

DeepSeek
DeepSeek-V4.1-Flash
Input1,040,000 tokens
Output393,216 tokens
StepFun
Step3-VL-10B
Input- tokens
Output- tokens
Sun Sep 13 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek-V4.1-Flash and Step3-VL-10B support multimodal inputs.

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

DeepSeek-V4.1-Flash

Text
Images
Audio
Video

Step3-VL-10B

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4.1-Flash is licensed under MIT, while Step3-VL-10B uses Apache 2.0.

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

DeepSeek-V4.1-Flash

MIT

Open weights

Step3-VL-10B

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V4.1-Flash was released on 2026-09-10, while Step3-VL-10B was released on 2026-01-15.

DeepSeek-V4.1-Flash is 8 months newer than Step3-VL-10B.

DeepSeek-V4.1-Flash

Sep 10, 2026

3 days ago

7mo newer
Step3-VL-10B

Jan 15, 2026

8 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?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek-V4.1-Flash and Step3-VL-10B side-by-side, then vote on the output you prefer.

DeepSeek-V4.1-Flash
✓ Preferred
Step3-VL-10B
Open in Playground

FAQ

Common questions about DeepSeek-V4.1-Flash vs Step3-VL-10B.

Which is better, DeepSeek-V4.1-Flash or Step3-VL-10B?

DeepSeek-V4.1-Flash leads the LLM Stats Score 51.8 to 25.5. DeepSeek-V4.1-Flash is made by DeepSeek 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 DeepSeek-V4.1-Flash compare to Step3-VL-10B in benchmarks?

DeepSeek-V4.1-Flash scores CodeForces: 100.0%, GPQA: 90.9%, Terminal-Bench 2.1: 90.6%, BabyVision: 89.6%, CyberGym: 88.1%. 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 DeepSeek-V4.1-Flash and Step3-VL-10B?

DeepSeek-V4.1-Flash 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 DeepSeek-V4.1-Flash and Step3-VL-10B?

Key differences include LLM Stats Score (51.8 vs 25.5), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4.1-Flash and Step3-VL-10B?

DeepSeek-V4.1-Flash is developed by DeepSeek and Step3-VL-10B is developed by StepFun.

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