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GPT-6 Astra vs Qwen3-235B-A22B-Instruct-2507

GPT-6 Astra leads the LLM Stats Score 60.3 to 24.3. Qwen3-235B-A22B-Instruct-2507 is 97.6x 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 24.3, 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, Qwen3-235B-A22B-Instruct-2507 is roughly 97.6x 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 coding — 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 Qwen3-235B-A22B-Instruct-2507

  • cost matters — it's about 97.6x cheaper per token
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

GPT-6 Astra
OpenAI
Qwen3-235B-A22B-Instruct-2507
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
60.3
#1
24.3
#164
Reasoning
58.2
#1
24.0
#159
Coding
48.5
#1
4.2
#210
Agents
46.4
#1
10.0
#117
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
$10.00 / M
$0.09 / M
Output price
$50.00 / M
$0.55 / M
Context window
1,050,000
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
GPT-6 Astra
Qwen3-235B-A22B-Instruct-2507
Math
35.9#42
23.9#121
Vision
41.7#1
9.1#132
Tool use
36.1#1
5.8#147
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for GPT-6 Astra · 25 for Qwen3-235B-A22B-Instruct-2507

2 shared

GPT-6 Astra outperforms in 2 benchmarks (ARC-AGI, GPQA), while Qwen3-235B-A22B-Instruct-2507 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

Qwen3-235B-A22B-Instruct-2507 costs less

For input processing, GPT-6 Astra ($10.00/1M tokens) is 111.1x more expensive than Qwen3-235B-A22B-Instruct-2507 ($0.09/1M tokens).

For output processing, GPT-6 Astra ($50.00/1M tokens) is 90.9x more expensive than Qwen3-235B-A22B-Instruct-2507 ($0.55/1M tokens).

In conclusion, GPT-6 Astra is more expensive than Qwen3-235B-A22B-Instruct-2507.*

* 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
Qwen3-235B-A22B-Instruct-2507
Input tokens$0.09
Output tokens$0.55
Best providerDeepinfra
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 Qwen3-235B-A22B-Instruct-2507's 262,144 tokens. Qwen3-235B-A22B-Instruct-2507 can generate longer responses up to 262,144 tokens, while GPT-6 Astra is limited to 128,000 tokens.

OpenAI
GPT-6 Astra
Input1,050,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
Input262,144 tokens
Output262,144 tokens
Wed Sep 09 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-6 Astra supports multimodal inputs, whereas Qwen3-235B-A22B-Instruct-2507 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

Qwen3-235B-A22B-Instruct-2507

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6 Astra is licensed under a proprietary license, while Qwen3-235B-A22B-Instruct-2507 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

Qwen3-235B-A22B-Instruct-2507

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-6 Astra was released on 2026-09-04, while Qwen3-235B-A22B-Instruct-2507 was released on 2025-07-22.

GPT-6 Astra is 14 months newer than Qwen3-235B-A22B-Instruct-2507.

GPT-6 Astra

Sep 4, 2026

4 days ago

1.1yr newer
Qwen3-235B-A22B-Instruct-2507

Jul 22, 2025

1.1 years ago

Knowledge Cutoff

When training data ends

GPT-6 Astra has a documented knowledge cutoff of 2026-04-30, while Qwen3-235B-A22B-Instruct-2507'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 Qwen3-235B-A22B-Instruct-2507's cutoff date.

GPT-6 Astra

Apr 2026

Qwen3-235B-A22B-Instruct-2507

—

Provider Availability

GPT-6 Astra is available from OpenAI. Qwen3-235B-A22B-Instruct-2507 is available from DeepInfra, Fireworks, Novita.

GPT-6 Astra

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

Qwen3-235B-A22B-Instruct-2507

deepinfra logo
Deepinfra
Input Price:Input: $0.09/1MOutput Price:Output: $0.55/1M
fireworks logo
Fireworks
Input Price:Input: $0.15/1MOutput Price:Output: $0.80/1M
novita logo
Novita
Input Price:Input: $0.15/1MOutput Price:Output: $0.80/1M
* 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 Qwen3-235B-A22B-Instruct-2507 side-by-side, then vote on the output you prefer.

GPT-6 Astra
✓ Preferred
Qwen3-235B-A22B-Instruct-2507
Open in Playground

FAQ

Common questions about GPT-6 Astra vs Qwen3-235B-A22B-Instruct-2507.

Which is better, GPT-6 Astra or Qwen3-235B-A22B-Instruct-2507?

GPT-6 Astra leads the LLM Stats Score 60.3 to 24.3. GPT-6 Astra is made by OpenAI and Qwen3-235B-A22B-Instruct-2507 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 Qwen3-235B-A22B-Instruct-2507 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%. Qwen3-235B-A22B-Instruct-2507 scores ZebraLogic: 95.0%, MMLU-Redux: 93.1%, IFEval: 88.7%, MultiPL-E: 87.9%, Creative Writing v3: 87.5%.

Is GPT-6 Astra cheaper than Qwen3-235B-A22B-Instruct-2507?

Qwen3-235B-A22B-Instruct-2507 is 111.1x cheaper for input tokens. GPT-6 Astra costs $10.00/M input and $50.00/M output via openai. Qwen3-235B-A22B-Instruct-2507 costs $0.09/M input and $0.55/M output via deepinfra.

What are the context window sizes for GPT-6 Astra and Qwen3-235B-A22B-Instruct-2507?

GPT-6 Astra supports 1.1M tokens and Qwen3-235B-A22B-Instruct-2507 supports 262K 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 Qwen3-235B-A22B-Instruct-2507?

Key differences include LLM Stats Score (60.3 vs 24.3), context window (1.1M vs 262K), input pricing ($10.00 vs $0.09/M), 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 Qwen3-235B-A22B-Instruct-2507?

GPT-6 Astra is developed by OpenAI and Qwen3-235B-A22B-Instruct-2507 is developed by Alibaba Cloud / Qwen Team.

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