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GPT-6.1 Terra vs Qwen3 VL 32B Instruct

GPT-6.1 Terra leads the LLM Stats Score 47.5 to 19.7.

OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

GPT-6.1 Terra leads the overall LLM Stats Score 47.5 to 19.7, ranking #36 overall.

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

Choose GPT-6.1 Terra

  • overall performance matters — it scores 47.5 and ranks #36 on LLM Stats
  • your work emphasizes reasoning and agents — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

Choose Qwen3 VL 32B Instruct

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

At a glance

The differences that matter most.

GPT-6.1 Terra
OpenAI
Qwen3 VL 32B Instruct
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
47.5
#36
19.7
#231
Reasoning
49.0
#19
18.6
#237
Agents
38.8
#12
9.4
#153
Cost, coverage & limits
Benchmark wins
—
—
Input price
$1.00 / M
— / M
Output price
$5.00 / M
— / M
Context window
1,050,000
—

Individual benchmarks

8 reported for GPT-6.1 Terra · 45 for Qwen3 VL 32B Instruct

No common benchmarks found

GPT-6.1 Terra and Qwen3 VL 32B Instructdon'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).

OpenAI
GPT-6.1 Terra
Input1,050,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Instruct
Input- tokens
Output- tokens
Fri Oct 30 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-6.1 Terra and Qwen3 VL 32B Instruct support multimodal inputs.

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

GPT-6.1 Terra

Text
Images
Audio
Video

Qwen3 VL 32B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6.1 Terra is licensed under a proprietary license, while Qwen3 VL 32B Instruct uses Apache 2.0.

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

GPT-6.1 Terra

Proprietary

Closed source

Qwen3 VL 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-6.1 Terra was released on 2026-10-26, while Qwen3 VL 32B Instruct was released on 2025-09-22.

GPT-6.1 Terra is 13 months newer than Qwen3 VL 32B Instruct.

GPT-6.1 Terra

Oct 26, 2026

-1 days ago

1.1yr newer
Qwen3 VL 32B Instruct

Sep 22, 2025

1.1 years ago

Knowledge Cutoff

When training data ends

GPT-6.1 Terra has a documented knowledge cutoff of 2026-06-01, while Qwen3 VL 32B Instruct'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 Qwen3 VL 32B Instruct's cutoff date.

GPT-6.1 Terra

Jun 2026

Qwen3 VL 32B Instruct

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-6.1 Terra and Qwen3 VL 32B Instruct side-by-side, then vote on the output you prefer.

GPT-6.1 Terra
✓ Preferred
Qwen3 VL 32B Instruct
Open in Playground

FAQ

Common questions about GPT-6.1 Terra vs Qwen3 VL 32B Instruct.

Which is better, GPT-6.1 Terra or Qwen3 VL 32B Instruct?

GPT-6.1 Terra leads the LLM Stats Score 47.5 to 19.7. GPT-6.1 Terra is made by OpenAI and Qwen3 VL 32B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GPT-6.1 Terra compare to Qwen3 VL 32B Instruct in benchmarks?

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%. Qwen3 VL 32B Instruct scores DocVQAtest: 96.9%, ScreenSpot: 95.8%, CharXiv-D: 90.5%, MMLU-Redux: 89.8%, AI2D: 89.5%.

What are the context window sizes for GPT-6.1 Terra and Qwen3 VL 32B Instruct?

GPT-6.1 Terra supports 1.1M tokens and Qwen3 VL 32B Instruct 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 GPT-6.1 Terra and Qwen3 VL 32B Instruct?

Key differences include LLM Stats Score (47.5 vs 19.7), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-6.1 Terra and Qwen3 VL 32B Instruct?

GPT-6.1 Terra is developed by OpenAI and Qwen3 VL 32B Instruct is developed by Alibaba Cloud / Qwen Team.

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