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GPT-6 Astra vs Qwen2.5-Omni-7B

GPT-6 Astra leads the LLM Stats Score 60.7 to 5.3.

OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

GPT-6 Astra leads the overall LLM Stats Score 60.7 to 5.3, ranking #1 overall.

In the 1 individual benchmarks reported for both models, GPT-6 Astra wins 1; this is a narrower head-to-head signal than the composite indexes.

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 value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Sep 2026

Choose Qwen2.5-Omni-7B

  • 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
5.3
#286
58.7
#1
1.6
#298
49.0
#1
1.2
#226
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
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

3 shared
Index
GPT-6 Astra
Qwen2.5-Omni-7B
35.3#42
5.5#264
41.5#1
5.8#149
38.6#3
7.3#126
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for GPT-6 Astra · 45 for Qwen2.5-Omni-7B

1 shared

GPT-6 Astra outperforms in 1 benchmarks (GPQA), while Qwen2.5-Omni-7B is better at 0 benchmarks.

GPT-6 Astra significantly outperforms across most benchmarks.

Sat Sep 05 2026 • llm-stats.com

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-Omni-7B
Input- tokens
Output- tokens
Sat Sep 05 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-6 Astra and Qwen2.5-Omni-7B support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GPT-6 Astra

Text
Images
Audio
Video

Qwen2.5-Omni-7B

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6 Astra is licensed under a proprietary license, while Qwen2.5-Omni-7B 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-Omni-7B

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-6 Astra was released on 2026-09-04, while Qwen2.5-Omni-7B was released on 2025-03-27.

GPT-6 Astra is 18 months newer than Qwen2.5-Omni-7B.

GPT-6 Astra

Sep 4, 2026

1 days ago

1.4yr newer
Qwen2.5-Omni-7B

Mar 27, 2025

1.4 years ago

Knowledge Cutoff

When training data ends

GPT-6 Astra has a documented knowledge cutoff of 2026-04-30, while Qwen2.5-Omni-7B'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-Omni-7B's cutoff date.

GPT-6 Astra

Apr 2026

Qwen2.5-Omni-7B

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-Omni-7B side-by-side, then vote on the output you prefer.

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

FAQ

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

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

GPT-6 Astra leads the LLM Stats Score 60.7 to 5.3. GPT-6 Astra is made by OpenAI and Qwen2.5-Omni-7B 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-Omni-7B 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-Omni-7B scores FLEURS: 95.9%, DocVQA: 95.2%, VocalSound: 93.9%, GSM8k: 88.7%, GiantSteps Tempo: 88.0%.

What are the context window sizes for GPT-6 Astra and Qwen2.5-Omni-7B?

GPT-6 Astra supports 1.1M tokens and Qwen2.5-Omni-7B 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-Omni-7B?

Key differences include LLM Stats Score (60.7 vs 5.3), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-6 Astra and Qwen2.5-Omni-7B?

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