Model Comparison

o1-preview vs Qwen3 VL 4B Thinking

o1-preview significantly outperforms across most benchmarks. Qwen3 VL 4B Thinking is 80.8x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

o1-preview outperforms in 2 benchmarks (GPQA, MMLU), while Qwen3 VL 4B Thinking is better at 0 benchmarks.

o1-preview significantly outperforms across most benchmarks.

Sat May 30 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3 VL 4B Thinking costs less

For input processing, o1-preview ($15.00/1M tokens) is 150.0x more expensive than Qwen3 VL 4B Thinking ($0.10/1M tokens).

For output processing, o1-preview ($60.00/1M tokens) is 60.0x more expensive than Qwen3 VL 4B Thinking ($1.00/1M tokens).

In conclusion, o1-preview is more expensive than Qwen3 VL 4B Thinking.*

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

Lowest available price from all providers

Sat May 30 2026 • llm-stats.com

o1-preview

Input tokens$15.00

Output tokens$60.00

Best providerOpenAI

Qwen3 VL 4B Thinking

Input tokens$0.10

Output tokens$1.00

Best providerDeepinfra

Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Qwen3 VL 4B Thinking accepts 262,144 input tokens compared to o1-preview's 128,000 tokens. Qwen3 VL 4B Thinking can generate longer responses up to 262,144 tokens, while o1-preview is limited to 32,768 tokens.

o1-preview

Input128,000 tokens

Output32,768 tokens

Qwen3 VL 4B Thinking

Input262,144 tokens

Output262,144 tokens

Sat May 30 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3 VL 4B Thinking supports multimodal inputs, whereas o1-preview does not.

Qwen3 VL 4B Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.

o1-preview

Text

Images

Audio

Video

Qwen3 VL 4B Thinking

Text

Images

Audio

Video

License

Usage and distribution terms

o1-preview is licensed under a proprietary license, while Qwen3 VL 4B Thinking uses Apache 2.0.

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

o1-preview

Proprietary

Closed source

Qwen3 VL 4B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

o1-preview was released on 2024-09-12, while Qwen3 VL 4B Thinking was released on 2025-09-22.

Qwen3 VL 4B Thinking is 13 months newer than o1-preview.

o1-preview

Sep 12, 2024

1.7 years ago

Qwen3 VL 4B Thinking

Sep 22, 2025

8 months ago

1.0yr newer

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

o1-preview is available from OpenAI, Azure. Qwen3 VL 4B Thinking is available from DeepInfra.

o1-preview

OpenAI

Input Price:Input: $15.00/1MOutput Price:Output: $60.00/1M

Azure

Input Price:Input: $16.50/1MOutput Price:Output: $66.00/1M

Qwen3 VL 4B Thinking

Deepinfra

Input Price:Input: $0.10/1MOutput Price:Output: $1.00/1M

* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

o1-preview

View details

OpenAI

Higher GPQA score (73.3% vs 64.1%)

Higher MMLU score (90.8% vs 81.5%)

Qwen3 VL 4B Thinking

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)

Supports multimodal inputs

Less expensive input tokens

Less expensive output tokens

Has open weights

Detailed Comparison

AI Model Comparison Table
Feature	o1-preview	Qwen3 VL 4B Thinking

FAQ

Common questions about o1-preview vs Qwen3 VL 4B Thinking.

Which is better, o1-preview or Qwen3 VL 4B Thinking?

o1-preview significantly outperforms across most benchmarks. o1-preview is made by OpenAI and Qwen3 VL 4B Thinking 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 o1-preview compare to Qwen3 VL 4B Thinking in benchmarks?

o1-preview scores MGSM: 90.8%, MMLU: 90.8%, MATH: 85.5%, GPQA: 73.3%, LiveBench: 52.3%. Qwen3 VL 4B Thinking scores DocVQAtest: 94.2%, ScreenSpot: 92.9%, MMBench-V1.1: 86.7%, MMLU-Redux: 86.0%, AI2D: 84.9%.

Is o1-preview cheaper than Qwen3 VL 4B Thinking?

Qwen3 VL 4B Thinking is 150.0x cheaper for input tokens. o1-preview costs $15.00/M input and $60.00/M output via openai. Qwen3 VL 4B Thinking costs $0.10/M input and $1.00/M output via deepinfra.

What are the context window sizes for o1-preview and Qwen3 VL 4B Thinking?

o1-preview supports 128K tokens and Qwen3 VL 4B Thinking 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 o1-preview and Qwen3 VL 4B Thinking?

Key differences include context window (128K vs 262K), input pricing ($15.00 vs $0.10/M), multimodal support (no vs yes), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes o1-preview and Qwen3 VL 4B Thinking?

o1-preview is developed by OpenAI and Qwen3 VL 4B Thinking is developed by Alibaba Cloud / Qwen Team.