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DeepSeek VL2 Small vs GPT-6.1 Terra

GPT-6.1 Terra leads the LLM Stats Score 47.5 to 0.8.

DeepSeek · OpenAI · Updated for 2026

Which is better?

GPT-6.1 Terra leads the overall LLM Stats Score 47.5 to 0.8, ranking #36 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 Terra

  • overall performance matters — it scores 47.5 and ranks #36 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 Small
DeepSeek
GPT-6.1 Terra
OpenAI
Core performance indexes
LLM Stats Score
0.8
#357
47.5
#36
Reasoning
-4.4
#376
49.0
#19
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$1.00 / M
Output price
— / M
$5.00 / M
Context window
—
1,050,000

Individual benchmarks

14 reported for DeepSeek VL2 Small · 8 for GPT-6.1 Terra

No common benchmarks found

DeepSeek VL2 Small and GPT-6.1 Terradon'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 Terra specifies input context (1,050,000 tokens). Only GPT-6.1 Terra specifies output context (128,000 tokens).

DeepSeek
DeepSeek VL2 Small
Input- tokens
Output- tokens
OpenAI
GPT-6.1 Terra
Input1,050,000 tokens
Output128,000 tokens
Sat Oct 31 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek VL2 Small and GPT-6.1 Terra 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 Terra

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 Small is licensed under deepseek, while GPT-6.1 Terra 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 Terra

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek VL2 Small was released on 2024-12-13, while GPT-6.1 Terra was released on 2026-10-26.

GPT-6.1 Terra is 23 months newer than DeepSeek VL2 Small.

DeepSeek VL2 Small

Dec 13, 2024

1.9 years ago

GPT-6.1 Terra

Oct 26, 2026

5 days ago

1.9yr newer

Knowledge Cutoff

When training data ends

GPT-6.1 Terra has a documented knowledge cutoff of 2026-06-01, while DeepSeek VL2 Small's cutoff date is not specified.

We can confirm GPT-6.1 Terra's training data extends to 2026-06-01, but cannot make a direct comparison without DeepSeek VL2 Small's cutoff date.

DeepSeek VL2 Small

—

GPT-6.1 Terra

Jun 2026

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

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

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

FAQ

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

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

GPT-6.1 Terra leads the LLM Stats Score 47.5 to 0.8. DeepSeek VL2 Small is made by DeepSeek and GPT-6.1 Terra 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 Terra in benchmarks?

DeepSeek VL2 Small scores DocVQA: 92.3%, ChartQA: 84.5%, OCRBench: 83.4%, TextVQA: 83.4%, MMBench: 80.3%. GPT-6.1 Terra scores HealthBench Consensus: 95.1%, HealthBench Professional: 62.7%, Agents' Last Exam: 60.0%, Terminal-Bench-Science 0.1: 58.3%, MentalHealthBench: 55.5%.

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

DeepSeek VL2 Small supports an unknown number of tokens and GPT-6.1 Terra 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 Terra?

Key differences include LLM Stats Score (0.8 vs 47.5), licensing (deepseek vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 Small and GPT-6.1 Terra?

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

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