GPT-6.1 Terra vs Qwen2.5 72B Instruct
GPT-6.1 Terra leads the LLM Stats Score 47.5 to 11.6. Qwen2.5 72B Instruct is 5.5x cheaper per token.
OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
GPT-6.1 Terra leads the overall LLM Stats Score 47.5 to 11.6, ranking #36 overall.
On price, Qwen2.5 72B Instruct is roughly 5.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-6.1 Terra also accepts a larger context window (1,050,000 input tokens), making it the stronger choice for long documents and large codebases.
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 process long inputs — it offers a 1,050,000 token context window
- you want the most recent training data — it shipped Oct 2026
Choose Qwen2.5 72B Instruct
- cost matters — it's about 5.5x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
8 reported for GPT-6.1 Terra · 14 for Qwen2.5 72B Instruct
GPT-6.1 Terra and Qwen2.5 72B 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
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-6.1 Terra ($1.00/1M tokens) is 2.9x more expensive than Qwen2.5 72B Instruct ($0.35/1M tokens).
For output processing, GPT-6.1 Terra ($5.00/1M tokens) is 12.5x more expensive than Qwen2.5 72B Instruct ($0.40/1M tokens).
In conclusion, GPT-6.1 Terra is more expensive than Qwen2.5 72B Instruct.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-6.1 Terra accepts 1,050,000 input tokens compared to Qwen2.5 72B Instruct's 131,072 tokens. GPT-6.1 Terra can generate longer responses up to 128,000 tokens, while Qwen2.5 72B Instruct is limited to 8,192 tokens.
Input capabilities
Documented input modalities across available providers
GPT-6.1 Terra supports multimodal inputs, whereas Qwen2.5 72B 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
Qwen2.5 72B Instruct
License
Usage and distribution terms
GPT-6.1 Terra is licensed under a proprietary license, while Qwen2.5 72B Instruct uses Qwen.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Qwen
Open weights
Release Timeline
When each model was launched
GPT-6.1 Terra was released on 2026-10-26, while Qwen2.5 72B Instruct was released on 2024-09-19.
GPT-6.1 Terra is 26 months newer than Qwen2.5 72B Instruct.
Oct 26, 2026
-1 days ago
2.1yr newerSep 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 72B 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 72B Instruct's cutoff date.
Jun 2026
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Provider Availability
GPT-6.1 Terra is available from OpenAI. Qwen2.5 72B Instruct is available from DeepInfra, Hyperbolic, Fireworks, Together.
GPT-6.1 Terra
Qwen2.5 72B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6.1 Terra and Qwen2.5 72B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6.1 Terra vs Qwen2.5 72B Instruct.