GPT-6 Astra vs Qwen3 14B
GPT-6 Astra leads the LLM Stats Score 60.3 to 18.2. Qwen3 14B is 133.3x cheaper per token.
OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
GPT-6 Astra leads the overall LLM Stats Score 60.3 to 18.2, ranking #1 overall.
On price, Qwen3 14B is roughly 133.3x 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 60.3 and ranks #1 on LLM Stats
- your work emphasizes reasoning and agents — 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 14B
- cost matters — it's about 133.3x 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 · 17 for Qwen3 14B
GPT-6 Astra and Qwen3 14Bdon'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 83.3x more expensive than Qwen3 14B ($0.12/1M tokens).
For output processing, GPT-6 Astra ($50.00/1M tokens) is 208.3x more expensive than Qwen3 14B ($0.24/1M tokens).
In conclusion, GPT-6 Astra is more expensive than Qwen3 14B.*
* 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 14B's 40,960 tokens. GPT-6 Astra can generate longer responses up to 128,000 tokens, while Qwen3 14B is limited to 40,960 tokens.
Input capabilities
Documented input modalities across available providers
GPT-6 Astra supports multimodal inputs, whereas Qwen3 14B 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 14B
License
Usage and distribution terms
GPT-6 Astra is licensed under a proprietary license, while Qwen3 14B 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 14B was released on 2025-04-28.
GPT-6 Astra is 16 months newer than Qwen3 14B.
Sep 4, 2026
4 days ago
1.4yr newerApr 28, 2025
1.4 years ago
Knowledge Cutoff
When training data ends
GPT-6 Astra has a documented knowledge cutoff of 2026-04-30, while Qwen3 14B'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 14B's cutoff date.
Apr 2026
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Provider Availability
GPT-6 Astra is available from OpenAI. Qwen3 14B is available from DeepInfra.
GPT-6 Astra
Qwen3 14B
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6 Astra and Qwen3 14B side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6 Astra vs Qwen3 14B.