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GPT-6 Astra vs Qwen3 VL 30B A3B Thinking

GPT-6 Astra leads the LLM Stats Score 60.3 to 18.3. Qwen3 VL 30B A3B Thinking is 50.3x 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 18.3, ranking #1 overall.

In the 2 individual benchmarks reported for both models, GPT-6 Astra wins 2; this is a narrower head-to-head signal than the composite indexes.

On price, Qwen3 VL 30B A3B Thinking is roughly 50.3x 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 value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • 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 VL 30B A3B Thinking

  • cost matters — it's about 50.3x cheaper per token
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
60.3
#1
18.3
#211
58.2
#1
19.6
#197
46.4
#1
7.2
#135
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
$10.00 / M
$0.20 / M
Output price
$50.00 / M
$0.99 / M
Context window
1,050,000
131,072

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
GPT-6 Astra
Qwen3 VL 30B A3B Thinking
35.9#42
22.4#138
41.7#1
12.2#103
39.0#2
15.0#89
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for GPT-6 Astra · 50 for Qwen3 VL 30B A3B Thinking

2 shared

GPT-6 Astra outperforms in 2 benchmarks (GPQA, ScreenSpot Pro), while Qwen3 VL 30B A3B Thinking is better at 0 benchmarks.

GPT-6 Astra significantly outperforms across most benchmarks.

Wed Sep 09 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Qwen3 VL 30B A3B Thinking costs less

For input processing, GPT-6 Astra ($10.00/1M tokens) is 50.0x more expensive than Qwen3 VL 30B A3B Thinking ($0.20/1M tokens).

For output processing, GPT-6 Astra ($50.00/1M tokens) is 50.5x more expensive than Qwen3 VL 30B A3B Thinking ($0.99/1M tokens).

In conclusion, GPT-6 Astra is more expensive than Qwen3 VL 30B A3B Thinking.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Wed Sep 09 2026 • llm-stats.com
OpenAI
GPT-6 Astra
Input tokens$10.00
Output tokens$50.00
Best providerOpenAI
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Thinking
Input tokens$0.20
Output tokens$0.99
Best providerNovita
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

GPT-6 Astra accepts 1,050,000 input tokens compared to Qwen3 VL 30B A3B Thinking's 131,072 tokens. GPT-6 Astra can generate longer responses up to 128,000 tokens, while Qwen3 VL 30B A3B Thinking is limited to 32,768 tokens.

OpenAI
GPT-6 Astra
Input1,050,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Thinking
Input131,072 tokens
Output32,768 tokens
Wed Sep 09 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-6 Astra and Qwen3 VL 30B A3B Thinking support multimodal inputs.

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

GPT-6 Astra

Text
Images
Audio
Video

Qwen3 VL 30B A3B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6 Astra is licensed under a proprietary license, while Qwen3 VL 30B A3B Thinking 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

Qwen3 VL 30B A3B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-6 Astra was released on 2026-09-04, while Qwen3 VL 30B A3B Thinking was released on 2025-09-22.

GPT-6 Astra is 12 months newer than Qwen3 VL 30B A3B Thinking.

GPT-6 Astra

Sep 4, 2026

5 days ago

11mo newer
Qwen3 VL 30B A3B Thinking

Sep 22, 2025

11 months ago

Knowledge Cutoff

When training data ends

GPT-6 Astra has a documented knowledge cutoff of 2026-04-30, while Qwen3 VL 30B A3B Thinking'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 VL 30B A3B Thinking's cutoff date.

GPT-6 Astra

Apr 2026

Qwen3 VL 30B A3B Thinking

Provider Availability

GPT-6 Astra is available from OpenAI. Qwen3 VL 30B A3B Thinking is available from Novita, DeepInfra.

GPT-6 Astra

openai logo
OpenAI
Input Price:Input: $10.00/1MOutput Price:Output: $50.00/1M

Qwen3 VL 30B A3B Thinking

novita logo
Novita
Input Price:Input: $0.20/1MOutput Price:Output: $1.00/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.29/1MOutput Price:Output: $0.99/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against GPT-6 Astra and Qwen3 VL 30B A3B Thinking side-by-side, then vote on the output you prefer.

GPT-6 Astra
✓ Preferred
Qwen3 VL 30B A3B Thinking
Open in Playground

FAQ

Common questions about GPT-6 Astra vs Qwen3 VL 30B A3B Thinking.

Which is better, GPT-6 Astra or Qwen3 VL 30B A3B Thinking?

GPT-6 Astra leads the LLM Stats Score 60.3 to 18.3. GPT-6 Astra is made by OpenAI and Qwen3 VL 30B A3B Thinking 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 Qwen3 VL 30B A3B Thinking 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%. Qwen3 VL 30B A3B Thinking scores DocVQAtest: 95.0%, ScreenSpot: 94.7%, MMLU-Redux: 90.9%, MMBench-V1.1: 88.9%, MMLU: 87.6%.

Is GPT-6 Astra cheaper than Qwen3 VL 30B A3B Thinking?

Qwen3 VL 30B A3B Thinking is 50.0x cheaper for input tokens. GPT-6 Astra costs $10.00/M input and $50.00/M output via openai. Qwen3 VL 30B A3B Thinking costs $0.20/M input and $0.99/M output via novita.

What are the context window sizes for GPT-6 Astra and Qwen3 VL 30B A3B Thinking?

GPT-6 Astra supports 1.1M tokens and Qwen3 VL 30B A3B Thinking supports 131K 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 Qwen3 VL 30B A3B Thinking?

Key differences include LLM Stats Score (60.3 vs 18.3), context window (1.1M vs 131K), input pricing ($10.00 vs $0.20/M), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-6 Astra and Qwen3 VL 30B A3B Thinking?

GPT-6 Astra is developed by OpenAI and Qwen3 VL 30B A3B Thinking is developed by Alibaba Cloud / Qwen Team.