GPT-5.2 vs Qwen2.5-Coder 7B Instruct

Q: What are the context window sizes for GPT-5.2 and Qwen2.5-Coder 7B Instruct?

GPT-5.2 supports 400K tokens and Qwen2.5-Coder 7B Instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

Q: What are the main differences between GPT-5.2 and Qwen2.5-Coder 7B Instruct?

Key differences include LLM Stats Score (41.4 vs -3.2), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Q: Who makes GPT-5.2 and Qwen2.5-Coder 7B Instruct?

GPT-5.2 is developed by OpenAI and Qwen2.5-Coder 7B Instruct is developed by Alibaba Cloud / Qwen Team.

GPT-5.2 leads the LLM Stats Score 41.4 to -3.2.

OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

GPT-5.2 leads the overall LLM Stats Score 41.4 to -3.2, ranking #51 overall.

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

Choose GPT-5.2

overall performance matters — it scores 41.4 and ranks #51 on LLM Stats
your work emphasizes reasoning and coding — it leads those capability indexes
you want the most recent training data — it shipped Dec 2025

Choose Qwen2.5-Coder 7B Instruct

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

At a glance

The differences that matter most.

GPT-5.2

OpenAI

Qwen2.5-Coder 7B Instruct

Alibaba Cloud / Qwen Team

Core performance indexes

LLM Stats Score

41.4

#51 · 23 evals

Best

-3.2

#342 · 14 evals

Reasoning

40.7

#49 · 21 evals

Best

-3.2

#334 · 14 evals

Coding

24.0

#73 · 3 evals

Best

6.5

#188 · 3 evals

Cost, coverage & limits

Benchmark wins

—

Input price

$1.75 / M

— / M

Output price

$14.00 / M

— / M

Context window

400,000

—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared

Index

GPT-5.2

Qwen2.5-Coder 7B Instruct

Math

37.8#29 · 6 evals

-2.4#310 · 6 evals

Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

24 reported for GPT-5.2 · 19 for Qwen2.5-Coder 7B Instruct

No common benchmarks found

GPT-5.2 and Qwen2.5-Coder 7B 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-5.2 specifies input context (400,000 tokens). Only GPT-5.2 specifies output context (128,000 tokens).

GPT-5.2

Input400,000 tokens

Output128,000 tokens

Qwen2.5-Coder 7B Instruct

Input- tokens

Output- tokens

Sun Sep 13 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-5.2 supports multimodal inputs, whereas Qwen2.5-Coder 7B Instruct does not.

GPT-5.2 can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-5.2

Text

Images

Audio

Video

Qwen2.5-Coder 7B Instruct

Text

Images

Audio

Video

License

Usage and distribution terms

GPT-5.2 is licensed under a proprietary license, while Qwen2.5-Coder 7B Instruct uses Apache 2.0.

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

GPT-5.2

Proprietary

Closed source

Qwen2.5-Coder 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-5.2 was released on 2025-12-11, while Qwen2.5-Coder 7B Instruct was released on 2024-09-19.

GPT-5.2 is 15 months newer than Qwen2.5-Coder 7B Instruct.

GPT-5.2

Dec 11, 2025

9 months ago

1.2yr newer

Qwen2.5-Coder 7B Instruct

Sep 19, 2024

2.0 years ago

Knowledge Cutoff

When training data ends

GPT-5.2 has a documented knowledge cutoff of 2025-08-25, while Qwen2.5-Coder 7B Instruct's cutoff date is not specified.

We can confirm GPT-5.2's training data extends to 2025-08-25, but cannot make a direct comparison without Qwen2.5-Coder 7B Instruct's cutoff date.

GPT-5.2

Aug 2025

Qwen2.5-Coder 7B Instruct

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against GPT-5.2 and Qwen2.5-Coder 7B Instruct side-by-side, then vote on the output you prefer.

GPT-5.2

✓ Preferred

Qwen2.5-Coder 7B Instruct

Open in Playground

FAQ

Common questions about GPT-5.2 vs Qwen2.5-Coder 7B Instruct.

Which is better, GPT-5.2 or Qwen2.5-Coder 7B Instruct?

GPT-5.2 leads the LLM Stats Score 41.4 to -3.2. GPT-5.2 is made by OpenAI and Qwen2.5-Coder 7B 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-5.2 compare to Qwen2.5-Coder 7B Instruct in benchmarks?

GPT-5.2 scores AIME 2025: 100.0%, HMMT 2025: 99.4%, Tau2 Telecom: 98.7%, Graphwalks BFS <128k: 94.0%, GPQA: 92.4%. Qwen2.5-Coder 7B Instruct scores HumanEval: 88.4%, GSM8k: 83.9%, MBPP: 83.5%, HellaSwag: 76.8%, Winogrande: 72.9%.

What are the context window sizes for GPT-5.2 and Qwen2.5-Coder 7B Instruct?

GPT-5.2 supports 400K tokens and Qwen2.5-Coder 7B 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-5.2 and Qwen2.5-Coder 7B Instruct?

Key differences include LLM Stats Score (41.4 vs -3.2), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5.2 and Qwen2.5-Coder 7B Instruct?

GPT-5.2 is developed by OpenAI and Qwen2.5-Coder 7B Instruct is developed by Alibaba Cloud / Qwen Team.

GPT-5.2 vs Qwen2.5-Coder 7B Instruct