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DeepSeek VL2 Small vs GPT-6.1 Sol

GPT-6.1 Sol leads the LLM Stats Score 52.0 to 1.2.

DeepSeek · OpenAI · Updated for 2026

Which is better?

GPT-6.1 Sol leads the overall LLM Stats Score 52.0 to 1.2, ranking #11 overall.

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

Choose DeepSeek VL2 Small

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

Choose GPT-6.1 Sol

  • overall performance matters — it scores 52.0 and ranks #11 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

DeepSeek VL2 Small
DeepSeek
GPT-6.1 Sol
OpenAI
Core performance indexes
LLM Stats Score
1.2
#329
52.0
#11
Reasoning
-4.0
#347
42.2
#50
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$2.00 / M
Output price
— / M
$10.00 / M
Context window
—
1,050,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
DeepSeek VL2 Small
GPT-6.1 Sol
Vision
0.6#185
31.6#26
Multimodal
3.2#149
30.7#30
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

14 reported for DeepSeek VL2 Small · 10 for GPT-6.1 Sol

No common benchmarks found

DeepSeek VL2 Small and GPT-6.1 Soldon'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

Context Window

Maximum input and output token capacity

Only GPT-6.1 Sol specifies input context (1,050,000 tokens). Only GPT-6.1 Sol specifies output context (128,000 tokens).

DeepSeek
DeepSeek VL2 Small
Input- tokens
Output- tokens
OpenAI
GPT-6.1 Sol
Input1,050,000 tokens
Output128,000 tokens
Thu Oct 01 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek VL2 Small and GPT-6.1 Sol support multimodal inputs.

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

DeepSeek VL2 Small

Text
Images
Audio
Video

GPT-6.1 Sol

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 Small is licensed under deepseek, while GPT-6.1 Sol uses a proprietary license.

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

DeepSeek VL2 Small

deepseek

Open weights

GPT-6.1 Sol

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek VL2 Small was released on 2024-12-13, while GPT-6.1 Sol was released on 2026-09-29.

GPT-6.1 Sol is 22 months newer than DeepSeek VL2 Small.

DeepSeek VL2 Small

Dec 13, 2024

1.8 years ago

GPT-6.1 Sol

Sep 29, 2026

1 days ago

1.8yr newer

Knowledge Cutoff

When training data ends

GPT-6.1 Sol has a documented knowledge cutoff of 2026-04-30, while DeepSeek VL2 Small's cutoff date is not specified.

We can confirm GPT-6.1 Sol's training data extends to 2026-04-30, but cannot make a direct comparison without DeepSeek VL2 Small's cutoff date.

DeepSeek VL2 Small

—

GPT-6.1 Sol

Apr 2026

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against DeepSeek VL2 Small and GPT-6.1 Sol side-by-side, then vote on the output you prefer.

DeepSeek VL2 Small
✓ Preferred
GPT-6.1 Sol
Open in Playground

FAQ

Common questions about DeepSeek VL2 Small vs GPT-6.1 Sol.

Which is better, DeepSeek VL2 Small or GPT-6.1 Sol?

GPT-6.1 Sol leads the LLM Stats Score 52.0 to 1.2. DeepSeek VL2 Small is made by DeepSeek and GPT-6.1 Sol is made by OpenAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek VL2 Small compare to GPT-6.1 Sol in benchmarks?

DeepSeek VL2 Small scores DocVQA: 92.3%, ChartQA: 84.5%, OCRBench: 83.4%, TextVQA: 83.4%, MMBench: 80.3%. GPT-6.1 Sol scores HealthBench Consensus: 96.0%, DeepSWE 1.1: 75.2%, OSWorld 2.0: 71.4%, HealthBench Professional: 64.2%, HealthBench: 58.5%.

What are the context window sizes for DeepSeek VL2 Small and GPT-6.1 Sol?

DeepSeek VL2 Small supports an unknown number of tokens and GPT-6.1 Sol supports 1.1M 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 Small and GPT-6.1 Sol?

Key differences include LLM Stats Score (1.2 vs 52.0), licensing (deepseek vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 Small and GPT-6.1 Sol?

DeepSeek VL2 Small is developed by DeepSeek and GPT-6.1 Sol is developed by OpenAI.

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