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GPT-6 Sol vs Qwen2.5-Coder 7B Instruct

GPT-6 Sol leads the LLM Stats Score 49.4 to -3.2.

OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

GPT-6 Sol leads the overall LLM Stats Score 49.4 to -3.2, ranking #21 overall.

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

Choose GPT-6 Sol

  • overall performance matters — it scores 49.4 and ranks #21 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

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.

Core performance indexes
49.4
#21
-3.2
#349
45.6
#29
-3.2
#341
35.8
#25
6.5
#195
Cost, coverage & limits
Benchmark wins
Input price
$2.00 / M
— / M
Output price
$10.00 / M
— / M
Context window
1,050,000

Individual benchmarks

5 reported for GPT-6 Sol · 19 for Qwen2.5-Coder 7B Instruct

No common benchmarks found

GPT-6 Sol 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-6 Sol specifies input context (1,050,000 tokens). Only GPT-6 Sol specifies output context (128,000 tokens).

OpenAI
GPT-6 Sol
Input1,050,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 7B Instruct
Input- tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-6 Sol supports multimodal inputs, whereas Qwen2.5-Coder 7B Instruct does not.

GPT-6 Sol can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-6 Sol

Text
Images
Audio
Video

Qwen2.5-Coder 7B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6 Sol 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-6 Sol

Proprietary

Closed source

Qwen2.5-Coder 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-6 Sol was released on 2026-09-22, while Qwen2.5-Coder 7B Instruct was released on 2024-09-19.

GPT-6 Sol is 24 months newer than Qwen2.5-Coder 7B Instruct.

GPT-6 Sol

Sep 22, 2026

0 days ago

2.0yr newer
Qwen2.5-Coder 7B Instruct

Sep 19, 2024

2.0 years ago

Knowledge Cutoff

When training data ends

GPT-6 Sol has a documented knowledge cutoff of 2026-04-20, while Qwen2.5-Coder 7B Instruct's cutoff date is not specified.

We can confirm GPT-6 Sol's training data extends to 2026-04-20, but cannot make a direct comparison without Qwen2.5-Coder 7B Instruct's cutoff date.

GPT-6 Sol

Apr 2026

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-6 Sol and Qwen2.5-Coder 7B Instruct side-by-side, then vote on the output you prefer.

GPT-6 Sol
✓ Preferred
Qwen2.5-Coder 7B Instruct
Open in Playground

FAQ

Common questions about GPT-6 Sol vs Qwen2.5-Coder 7B Instruct.

Which is better, GPT-6 Sol or Qwen2.5-Coder 7B Instruct?

GPT-6 Sol leads the LLM Stats Score 49.4 to -3.2. GPT-6 Sol 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-6 Sol compare to Qwen2.5-Coder 7B Instruct in benchmarks?

GPT-6 Sol scores DeepSWE 1.1: 68.8%, OSWorld 2.0: 64.4%, Agents' Last Exam: 56.4%, FrontierCode 1.1: 49.3%, AutomationBench v1.0.6: 33.2%. 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-6 Sol and Qwen2.5-Coder 7B Instruct?

GPT-6 Sol supports 1.1M 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-6 Sol and Qwen2.5-Coder 7B Instruct?

Key differences include LLM Stats Score (49.4 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-6 Sol and Qwen2.5-Coder 7B Instruct?

GPT-6 Sol is developed by OpenAI and Qwen2.5-Coder 7B Instruct is developed by Alibaba Cloud / Qwen Team.