Model Comparison

GPT-5.1 Thinking vs Qwen3 VL 30B A3B Instruct

GPT-5.1 Thinking significantly outperforms across most benchmarks. Qwen3 VL 30B A3B Instruct is 10.6x 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 VL 30B A3B Instruct is better at 0 benchmarks.

GPT-5.1 Thinking significantly outperforms across most benchmarks.

Fri May 08 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3 VL 30B A3B Instruct costs less

For input processing, GPT-5.1 Thinking ($1.25/1M tokens) is 6.3x more expensive than Qwen3 VL 30B A3B Instruct ($0.20/1M tokens).

For output processing, GPT-5.1 Thinking ($10.00/1M tokens) is 14.3x more expensive than Qwen3 VL 30B A3B Instruct ($0.70/1M tokens).

In conclusion, GPT-5.1 Thinking is more expensive than Qwen3 VL 30B A3B Instruct.*

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

Lowest available price from all providers

Fri May 08 2026 • llm-stats.com

GPT-5.1 Thinking

Input tokens$1.25

Output tokens$10.00

Best providerOpenAI

Qwen3 VL 30B A3B Instruct

Input tokens$0.20

Output tokens$0.70

Best providerNovita

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 VL 30B A3B Instruct's 131,072 tokens. GPT-5.1 Thinking can generate longer responses up to 128,000 tokens, while Qwen3 VL 30B A3B Instruct is limited to 32,768 tokens.

GPT-5.1 Thinking

Input400,000 tokens

Output128,000 tokens

Qwen3 VL 30B A3B Instruct

Input131,072 tokens

Output32,768 tokens

Fri May 08 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-5.1 Thinking and Qwen3 VL 30B A3B Instruct support multimodal inputs.

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

GPT-5.1 Thinking

Text

Images

Audio

Video

Qwen3 VL 30B A3B Instruct

Text

Images

Audio

Video

License

Usage and distribution terms

GPT-5.1 Thinking is licensed under a proprietary license, while Qwen3 VL 30B A3B Instruct 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 VL 30B A3B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-5.1 Thinking was released on 2025-11-12, while Qwen3 VL 30B A3B Instruct was released on 2025-09-22.

GPT-5.1 Thinking is 2 months newer than Qwen3 VL 30B A3B Instruct.

GPT-5.1 Thinking

Nov 12, 2025

5 months ago

1mo newer

Qwen3 VL 30B A3B Instruct

Sep 22, 2025

7 months 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 VL 30B A3B Instruct is available from Novita, DeepInfra.

GPT-5.1 Thinking

OpenAI

Input Price:Input: $1.25/1MOutput Price:Output: $10.00/1M

Qwen3 VL 30B A3B Instruct

Novita

Input Price:Input: $0.20/1MOutput Price:Output: $0.70/1M

Deepinfra

Input Price:Input: $0.29/1MOutput Price:Output: $0.99/1M

* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

GPT-5.1 Thinking

View details

OpenAI

Larger context window (400,000 tokens)

Higher AIME 2025 score (94.0% vs 69.3%)

Higher GPQA score (88.1% vs 70.4%)

Qwen3 VL 30B A3B Instruct

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens

Less expensive output tokens

Has open weights

Detailed Comparison

AI Model Comparison Table
Feature	GPT-5.1 Thinking	Qwen3 VL 30B A3B Instruct

FAQ

Common questions about GPT-5.1 Thinking vs Qwen3 VL 30B A3B Instruct.

Which is better, GPT-5.1 Thinking or Qwen3 VL 30B A3B Instruct?

GPT-5.1 Thinking significantly outperforms across most benchmarks. GPT-5.1 Thinking is made by OpenAI and Qwen3 VL 30B A3B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GPT-5.1 Thinking compare to Qwen3 VL 30B A3B Instruct in benchmarks?

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 VL 30B A3B Instruct scores DocVQAtest: 95.0%, ScreenSpot: 94.7%, OCRBench: 90.3%, MMLU-Redux: 88.4%, MMBench-V1.1: 87.0%.

Is GPT-5.1 Thinking cheaper than Qwen3 VL 30B A3B Instruct?

Qwen3 VL 30B A3B Instruct is 6.3x cheaper for input tokens. GPT-5.1 Thinking costs $1.25/M input and $10.00/M output via openai. Qwen3 VL 30B A3B Instruct costs $0.20/M input and $0.70/M output via novita.

What are the context window sizes for GPT-5.1 Thinking and Qwen3 VL 30B A3B Instruct?

GPT-5.1 Thinking supports 400K tokens and Qwen3 VL 30B A3B Instruct 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-5.1 Thinking and Qwen3 VL 30B A3B Instruct?

Key differences include context window (400K vs 131K), input pricing ($1.25 vs $0.20/M), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5.1 Thinking and Qwen3 VL 30B A3B Instruct?

GPT-5.1 Thinking is developed by OpenAI and Qwen3 VL 30B A3B Instruct is developed by Alibaba Cloud / Qwen Team.