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GPT-6.1 Terra vs Qwen2.5 32B Instruct

GPT-6.1 Terra leads the LLM Stats Score 47.5 to 6.9.

OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

GPT-6.1 Terra leads the overall LLM Stats Score 47.5 to 6.9, 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 coding — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

Choose Qwen2.5 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
Qwen2.5 32B Instruct
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
47.5
#36
6.9
#324
Reasoning
49.0
#19
6.4
#320
Coding
37.1
#30
9.3
#201
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 · 18 for Qwen2.5 32B Instruct

No common benchmarks found

GPT-6.1 Terra and Qwen2.5 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
Qwen2.5 32B Instruct
Input- tokens
Output- tokens
Thu Oct 29 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-6.1 Terra supports multimodal inputs, whereas Qwen2.5 32B Instruct does not.

GPT-6.1 Terra can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-6.1 Terra

Text
Images
Audio
Video

Qwen2.5 32B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6.1 Terra is licensed under a proprietary license, while Qwen2.5 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

Qwen2.5 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 Qwen2.5 32B Instruct was released on 2024-09-19.

GPT-6.1 Terra is 26 months newer than Qwen2.5 32B Instruct.

GPT-6.1 Terra

Oct 26, 2026

0 days ago

2.1yr newer
Qwen2.5 32B Instruct

Sep 19, 2024

2.1 years ago

Knowledge Cutoff

When training data ends

GPT-6.1 Terra has a documented knowledge cutoff of 2026-06-01, while Qwen2.5 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 Qwen2.5 32B Instruct's cutoff date.

GPT-6.1 Terra

Jun 2026

Qwen2.5 32B Instruct

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-6.1 Terra and Qwen2.5 32B Instruct side-by-side, then vote on the output you prefer.

GPT-6.1 Terra
✓ Preferred
Qwen2.5 32B Instruct
Open in Playground

FAQ

Common questions about GPT-6.1 Terra vs Qwen2.5 32B Instruct.

Which is better, GPT-6.1 Terra or Qwen2.5 32B Instruct?

GPT-6.1 Terra leads the LLM Stats Score 47.5 to 6.9. GPT-6.1 Terra is made by OpenAI and Qwen2.5 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 Qwen2.5 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%. Qwen2.5 32B Instruct scores GSM8k: 95.9%, HumanEval: 88.4%, HellaSwag: 85.2%, BBH: 84.5%, MBPP: 84.0%.

What are the context window sizes for GPT-6.1 Terra and Qwen2.5 32B Instruct?

GPT-6.1 Terra supports 1.1M tokens and Qwen2.5 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 Qwen2.5 32B Instruct?

Key differences include LLM Stats Score (47.5 vs 6.9), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-6.1 Terra and Qwen2.5 32B Instruct?

GPT-6.1 Terra is developed by OpenAI and Qwen2.5 32B Instruct is developed by Alibaba Cloud / Qwen Team.

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