Model Comparison

o3-pro vs Qwen3 VL 8B Thinking

Comparing o3-pro and Qwen3 VL 8B Thinking across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

o3-pro and Qwen3 VL 8B Thinking don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3 VL 8B Thinking costs less

For input processing, o3-pro ($20.00/1M tokens) is 111.1x more expensive than Qwen3 VL 8B Thinking ($0.18/1M tokens).

For output processing, o3-pro ($80.00/1M tokens) is 38.3x more expensive than Qwen3 VL 8B Thinking ($2.09/1M tokens).

In conclusion, o3-pro is more expensive than Qwen3 VL 8B Thinking.*

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

Lowest available price from all providers
Sat May 02 2026 • llm-stats.com
OpenAI
o3-pro
Input tokens$20.00
Output tokens$80.00
Best providerOpenAI
Alibaba Cloud / Qwen Team
Qwen3 VL 8B Thinking
Input tokens$0.18
Output tokens$2.09
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Qwen3 VL 8B Thinking accepts 262,144 input tokens compared to o3-pro's 200,000 tokens. Qwen3 VL 8B Thinking can generate longer responses up to 262,144 tokens, while o3-pro is limited to 100,000 tokens.

OpenAI
o3-pro
Input200,000 tokens
Output100,000 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 8B Thinking
Input262,144 tokens
Output262,144 tokens
Sat May 02 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both o3-pro and Qwen3 VL 8B Thinking support multimodal inputs.

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

o3-pro

Text
Images
Audio
Video

Qwen3 VL 8B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

o3-pro is licensed under a proprietary license, while Qwen3 VL 8B Thinking uses Apache 2.0.

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

o3-pro

Proprietary

Closed source

Qwen3 VL 8B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

o3-pro was released on 2025-06-10, while Qwen3 VL 8B Thinking was released on 2025-09-22.

Qwen3 VL 8B Thinking is 3 months newer than o3-pro.

o3-pro

Jun 10, 2025

10 months ago

Qwen3 VL 8B Thinking

Sep 22, 2025

7 months ago

3mo newer

Knowledge Cutoff

When training data ends

o3-pro has a documented knowledge cutoff of 2024-05-31, while Qwen3 VL 8B Thinking's cutoff date is not specified.

We can confirm o3-pro's training data extends to 2024-05-31, but cannot make a direct comparison without Qwen3 VL 8B Thinking's cutoff date.

o3-pro

May 2024

Qwen3 VL 8B Thinking

—

Provider Availability

o3-pro is available from OpenAI. Qwen3 VL 8B Thinking is available from DeepInfra.

o3-pro

openai logo
OpenAI
Input Price:Input: $20.00/1MOutput Price:Output: $80.00/1M

Qwen3 VL 8B Thinking

deepinfra logo
Deepinfra
Input Price:Input: $0.18/1MOutput Price:Output: $2.09/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

OpenAI
Alibaba Cloud / Qwen Team

Qwen3 VL 8B Thinking

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
o3-pro
Alibaba Cloud / Qwen Team
Qwen3 VL 8B Thinking

FAQ

Common questions about o3-pro vs Qwen3 VL 8B Thinking

o3-pro (OpenAI) and Qwen3 VL 8B Thinking (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
Qwen3 VL 8B Thinking scores DocVQAtest: 95.3%, ScreenSpot: 93.6%, MMLU-Redux: 88.8%, MMBench-V1.1: 87.5%, InfoVQAtest: 86.0%.
Qwen3 VL 8B Thinking is 111.1x cheaper for input tokens. o3-pro costs $20.00/M input and $80.00/M output via openai. Qwen3 VL 8B Thinking costs $0.18/M input and $2.09/M output via deepinfra.
o3-pro supports 200K tokens and Qwen3 VL 8B Thinking supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (200K vs 262K), input pricing ($20.00 vs $0.18/M), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
o3-pro is developed by OpenAI and Qwen3 VL 8B Thinking is developed by Alibaba Cloud / Qwen Team.