GPT-6 Astra vs Qwen3-Coder 480B A35B Instruct
GPT-6 Astra leads the LLM Stats Score 58.5 to 21.0. Qwen3-Coder 480B A35B Instruct is 42.1x cheaper per token.
OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
GPT-6 Astra leads the overall LLM Stats Score 58.5 to 21.0, ranking #3 overall.
On price, Qwen3-Coder 480B A35B Instruct is roughly 42.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-6 Astra 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 Astra
- overall performance matters — it scores 58.5 and ranks #3 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 Sep 2026
Choose Qwen3-Coder 480B A35B Instruct
- cost matters — it's about 42.1x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
22 reported for GPT-6 Astra · 10 for Qwen3-Coder 480B A35B Instruct
GPT-6 Astra and Qwen3-Coder 480B A35B 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 Astra ($10.00/1M tokens) is 33.3x more expensive than Qwen3-Coder 480B A35B Instruct ($0.30/1M tokens).
For output processing, GPT-6 Astra ($50.00/1M tokens) is 50.0x more expensive than Qwen3-Coder 480B A35B Instruct ($1.00/1M tokens).
In conclusion, GPT-6 Astra is more expensive than Qwen3-Coder 480B A35B Instruct.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-6 Astra accepts 1,050,000 input tokens compared to Qwen3-Coder 480B A35B Instruct's 262,144 tokens. Qwen3-Coder 480B A35B Instruct can generate longer responses up to 262,144 tokens, while GPT-6 Astra is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
GPT-6 Astra supports multimodal inputs, whereas Qwen3-Coder 480B A35B 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
Qwen3-Coder 480B A35B Instruct
License
Usage and distribution terms
GPT-6 Astra is licensed under a proprietary license, while Qwen3-Coder 480B A35B Instruct uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
GPT-6 Astra was released on 2026-09-04, while Qwen3-Coder 480B A35B Instruct was released on 2025-01-31.
GPT-6 Astra is 19 months newer than Qwen3-Coder 480B A35B Instruct.
Sep 4, 2026
1 months ago
1.6yr newerJan 31, 2025
1.7 years ago
Knowledge Cutoff
When training data ends
GPT-6 Astra has a documented knowledge cutoff of 2026-04-30, while Qwen3-Coder 480B A35B 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 Qwen3-Coder 480B A35B Instruct's cutoff date.
Apr 2026
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Provider Availability
GPT-6 Astra is available from OpenAI. Qwen3-Coder 480B A35B Instruct is available from DeepInfra.
GPT-6 Astra
Qwen3-Coder 480B A35B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6 Astra and Qwen3-Coder 480B A35B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6 Astra vs Qwen3-Coder 480B A35B Instruct.