Model Comparison

o1-preview vs QwQ-32B-Preview

Both models are evenly matched across the benchmarks. QwQ-32B-Preview is 161.5x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

o1-preview outperforms in 1 benchmarks (GPQA), while QwQ-32B-Preview is better at 1 benchmark (AIME 2024).

Both models are evenly matched across the benchmarks.

Sat May 23 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

QwQ-32B-Preview costs less

For input processing, o1-preview ($15.00/1M tokens) is 100.0x more expensive than QwQ-32B-Preview ($0.15/1M tokens).

For output processing, o1-preview ($60.00/1M tokens) is 300.0x more expensive than QwQ-32B-Preview ($0.20/1M tokens).

In conclusion, o1-preview is more expensive than QwQ-32B-Preview.*

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

Lowest available price from all providers

Sat May 23 2026 • llm-stats.com

o1-preview

Input tokens$15.00

Output tokens$60.00

Best providerOpenAI

QwQ-32B-Preview

Input tokens$0.15

Output tokens$0.20

Best providerDeepinfra

Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

o1-preview accepts 128,000 input tokens compared to QwQ-32B-Preview's 32,768 tokens. Both models can generate responses up to 32,768 tokens.

o1-preview

Input128,000 tokens

Output32,768 tokens

QwQ-32B-Preview

Input32,768 tokens

Output32,768 tokens

Sat May 23 2026 • llm-stats.com

License

Usage and distribution terms

o1-preview is licensed under a proprietary license, while QwQ-32B-Preview 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

QwQ-32B-Preview

Apache 2.0

Open weights

Release Timeline

When each model was launched

o1-preview was released on 2024-09-12, while QwQ-32B-Preview was released on 2024-11-28.

QwQ-32B-Preview is 3 months newer than o1-preview.

o1-preview

Sep 12, 2024

1.7 years ago

QwQ-32B-Preview

Nov 28, 2024

1.5 years ago

2mo newer

Knowledge Cutoff

When training data ends

QwQ-32B-Preview has a documented knowledge cutoff of 2024-11-28, while o1-preview's cutoff date is not specified.

We can confirm QwQ-32B-Preview's training data extends to 2024-11-28, but cannot make a direct comparison without o1-preview's cutoff date.

o1-preview

—

QwQ-32B-Preview

Nov 2024

Provider Availability

o1-preview is available from OpenAI, Azure. QwQ-32B-Preview is available from DeepInfra, Hyperbolic, Fireworks, Together.

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

QwQ-32B-Preview

Deepinfra

Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M

Hyperbolic

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

Fireworks

Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M

Together

Input Price:Input: $1.20/1MOutput Price:Output: $1.20/1M

* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

o1-preview

View details

OpenAI

Larger context window (128,000 tokens)

Higher GPQA score (73.3% vs 65.2%)

QwQ-32B-Preview

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens

Less expensive output tokens

Has open weights

Higher AIME 2024 score (50.0% vs 42.0%)

Detailed Comparison

AI Model Comparison Table
Feature	o1-preview	QwQ-32B-Preview

FAQ

Common questions about o1-preview vs QwQ-32B-Preview.

Which is better, o1-preview or QwQ-32B-Preview?

Both models are evenly matched across the benchmarks. o1-preview is made by OpenAI and QwQ-32B-Preview 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 QwQ-32B-Preview in benchmarks?

o1-preview scores MGSM: 90.8%, MMLU: 90.8%, MATH: 85.5%, GPQA: 73.3%, LiveBench: 52.3%. QwQ-32B-Preview scores MATH-500: 90.6%, GPQA: 65.2%, AIME 2024: 50.0%, LiveCodeBench: 50.0%.

Is o1-preview cheaper than QwQ-32B-Preview?

QwQ-32B-Preview is 100.0x cheaper for input tokens. o1-preview costs $15.00/M input and $60.00/M output via openai. QwQ-32B-Preview costs $0.15/M input and $0.20/M output via deepinfra.

What are the context window sizes for o1-preview and QwQ-32B-Preview?

o1-preview supports 128K tokens and QwQ-32B-Preview supports 33K 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 QwQ-32B-Preview?

Key differences include context window (128K vs 33K), input pricing ($15.00 vs $0.15/M), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes o1-preview and QwQ-32B-Preview?

o1-preview is developed by OpenAI and QwQ-32B-Preview is developed by Alibaba Cloud / Qwen Team.