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

GPT-6 Astra leads the LLM Stats Score 60.7 to -3.0.

OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

GPT-6 Astra leads the overall LLM Stats Score 60.7 to -3.0, ranking #1 overall.

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

Choose GPT-6 Astra

  • overall performance matters — it scores 60.7 and ranks #1 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
60.7
#1
-3.0
#331
58.7
#1
-3.0
#322
49.0
#1
6.6
#181
Cost, coverage & limits
Benchmark wins
Input price
$10.00 / M
— / M
Output price
$50.00 / M
— / M
Context window
1,050,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-6 Astra
Qwen2.5-Coder 7B Instruct
35.3#42
-1.9#300
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

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

No common benchmarks found

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

OpenAI
GPT-6 Astra
Input1,050,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 7B Instruct
Input- tokens
Output- tokens
Thu Sep 03 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

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

GPT-6 Astra

Text
Images
Audio
Video

Qwen2.5-Coder 7B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6 Astra 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 Astra

Proprietary

Closed source

Qwen2.5-Coder 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-6 Astra was released on 2026-09-03, while Qwen2.5-Coder 7B Instruct was released on 2024-09-19.

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

GPT-6 Astra

Sep 3, 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 Astra has a documented knowledge cutoff of 2026-04-30, while Qwen2.5-Coder 7B Instruct's cutoff date is not specified.

We can confirm GPT-6 Astra's training data extends to 2026-04-30, but cannot make a direct comparison without Qwen2.5-Coder 7B Instruct's cutoff date.

GPT-6 Astra

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

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

FAQ

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

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

GPT-6 Astra leads the LLM Stats Score 60.7 to -3.0. GPT-6 Astra 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 Astra compare to Qwen2.5-Coder 7B Instruct in benchmarks?

GPT-6 Astra scores ExploitBench: 100.0%, ARC-AGI-3: 99.9%, ARC-AGI: 98.5%, FrontierMath Tier 4 (v2): 97.6%, GPQA: 96.0%. 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 Astra and Qwen2.5-Coder 7B Instruct?

GPT-6 Astra 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 Astra and Qwen2.5-Coder 7B Instruct?

Key differences include LLM Stats Score (60.7 vs -3.0), 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 Astra and Qwen2.5-Coder 7B Instruct?

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