Model Comparison

GPT-5.1 Thinking vs Qwen3 235B A22B

GPT-5.1 Thinking significantly outperforms across most benchmarks. Qwen3 235B A22B is 34.4x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GPT-5.1 Thinking outperforms in 2 benchmarks (AIME 2025, GPQA), while Qwen3 235B A22B is better at 0 benchmarks.

GPT-5.1 Thinking significantly outperforms across most benchmarks.

Sat May 02 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3 235B A22B costs less

For input processing, GPT-5.1 Thinking ($1.25/1M tokens) is 12.5x more expensive than Qwen3 235B A22B ($0.10/1M tokens).

For output processing, GPT-5.1 Thinking ($10.00/1M tokens) is 100.0x more expensive than Qwen3 235B A22B ($0.10/1M tokens).

In conclusion, GPT-5.1 Thinking is more expensive than Qwen3 235B A22B.*

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

Lowest available price from all providers
Sat May 02 2026 • llm-stats.com
OpenAI
GPT-5.1 Thinking
Input tokens$1.25
Output tokens$10.00
Best providerOpenAI
Alibaba Cloud / Qwen Team
Qwen3 235B A22B
Input tokens$0.10
Output tokens$0.10
Best providerFireworks
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GPT-5.1 Thinking accepts 400,000 input tokens compared to Qwen3 235B A22B's 128,000 tokens. Both models can generate responses up to 128,000 tokens.

OpenAI
GPT-5.1 Thinking
Input400,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3 235B A22B
Input128,000 tokens
Output128,000 tokens
Sat May 02 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5.1 Thinking supports multimodal inputs, whereas Qwen3 235B A22B does not.

GPT-5.1 Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-5.1 Thinking

Text
Images
Audio
Video

Qwen3 235B A22B

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.1 Thinking is licensed under a proprietary license, while Qwen3 235B A22B uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

GPT-5.1 Thinking

Proprietary

Closed source

Qwen3 235B A22B

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-5.1 Thinking was released on 2025-11-12, while Qwen3 235B A22B was released on 2025-04-29.

GPT-5.1 Thinking is 7 months newer than Qwen3 235B A22B.

GPT-5.1 Thinking

Nov 12, 2025

5 months ago

6mo newer
Qwen3 235B A22B

Apr 29, 2025

1.0 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

GPT-5.1 Thinking is available from OpenAI. Qwen3 235B A22B is available from Fireworks, DeepInfra, Novita, Together.

GPT-5.1 Thinking

openai logo
OpenAI
Input Price:Input: $1.25/1MOutput Price:Output: $10.00/1M

Qwen3 235B A22B

fireworks logo
Fireworks
Input Price:Input: $0.10/1MOutput Price:Output: $0.10/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.20/1MOutput Price:Output: $0.60/1M
novita logo
Novita
Input Price:Input: $0.20/1MOutput Price:Output: $0.80/1M
together logo
Together
Input Price:Input: $0.20/1MOutput Price:Output: $0.60/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

OpenAI
Larger context window (400,000 tokens)
Supports multimodal inputs
Higher AIME 2025 score (94.0% vs 81.5%)
Higher GPQA score (88.1% vs 47.5%)
Alibaba Cloud / Qwen Team

Qwen3 235B A22B

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-5.1 Thinking
Alibaba Cloud / Qwen Team
Qwen3 235B A22B

FAQ

Common questions about GPT-5.1 Thinking vs Qwen3 235B A22B

GPT-5.1 Thinking significantly outperforms across most benchmarks. GPT-5.1 Thinking is made by OpenAI and Qwen3 235B A22B is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
GPT-5.1 Thinking scores Tau2 Telecom: 95.6%, AIME 2025: 94.0%, BrowseComp Long Context 128k: 90.0%, GPQA: 88.1%, MMMU: 85.4%. Qwen3 235B A22B scores Arena Hard: 95.6%, GSM8k: 94.4%, BBH: 88.9%, MMLU: 87.8%, MMLU-Redux: 87.4%.
Qwen3 235B A22B is 12.5x cheaper for input tokens. GPT-5.1 Thinking costs $1.25/M input and $10.00/M output via openai. Qwen3 235B A22B costs $0.10/M input and $0.10/M output via fireworks.
GPT-5.1 Thinking supports 400K tokens and Qwen3 235B A22B supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (400K vs 128K), input pricing ($1.25 vs $0.10/M), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
GPT-5.1 Thinking is developed by OpenAI and Qwen3 235B A22B is developed by Alibaba Cloud / Qwen Team.