Model Comparison

o1-mini vs Qwen3 32B

Comparing o1-mini and Qwen3 32B across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

o1-mini and Qwen3 32B 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 32B costs less

For input processing, o1-mini ($3.00/1M tokens) is 30.0x more expensive than Qwen3 32B ($0.10/1M tokens).

For output processing, o1-mini ($12.00/1M tokens) is 40.0x more expensive than Qwen3 32B ($0.30/1M tokens).

In conclusion, o1-mini is more expensive than Qwen3 32B.*

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

Lowest available price from all providers
Wed Apr 15 2026 • llm-stats.com
OpenAI
o1-mini
Input tokens$3.00
Output tokens$12.00
Best providerOpenAI
Alibaba Cloud / Qwen Team
Qwen3 32B
Input tokens$0.10
Output tokens$0.30
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Both models have the same input context window of 128,000 tokens. Qwen3 32B can generate longer responses up to 128,000 tokens, while o1-mini is limited to 65,536 tokens.

OpenAI
o1-mini
Input128,000 tokens
Output65,536 tokens
Alibaba Cloud / Qwen Team
Qwen3 32B
Input128,000 tokens
Output128,000 tokens
Wed Apr 15 2026 • llm-stats.com

License

Usage and distribution terms

o1-mini is licensed under a proprietary license, while Qwen3 32B uses Apache 2.0.

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

o1-mini

Proprietary

Closed source

Qwen3 32B

Apache 2.0

Open weights

Release Timeline

When each model was launched

o1-mini was released on 2024-09-12, while Qwen3 32B was released on 2025-04-29.

Qwen3 32B is 8 months newer than o1-mini.

o1-mini

Sep 12, 2024

1.6 years ago

Qwen3 32B

Apr 29, 2025

11 months ago

7mo 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-mini is available from OpenAI, Azure. Qwen3 32B is available from DeepInfra, Novita, Sambanova.

o1-mini

openai logo
OpenAI
Input Price:Input: $3.00/1MOutput Price:Output: $12.00/1M
azure logo
Azure
Input Price:Input: $3.30/1MOutput Price:Output: $13.20/1M

Qwen3 32B

deepinfra logo
Deepinfra
Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M
novita logo
Novita
Input Price:Input: $0.10/1MOutput Price:Output: $0.44/1M
sambanova logo
Sambanova
Input Price:Input: $0.40/1MOutput Price:Output: $0.80/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

OpenAI
Alibaba Cloud / Qwen Team

Qwen3 32B

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
o1-mini
Alibaba Cloud / Qwen Team
Qwen3 32B

FAQ

Common questions about o1-mini vs Qwen3 32B

o1-mini (OpenAI) and Qwen3 32B (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.
o1-mini scores HumanEval: 92.4%, MATH-500: 90.0%, MMLU: 85.2%, SuperGLUE: 75.0%, GPQA: 60.0%. Qwen3 32B scores Arena Hard: 93.8%, AIME 2024: 81.4%, LiveBench: 74.9%, MultiLF: 73.0%, AIME 2025: 72.9%.
Qwen3 32B is 30.0x cheaper for input tokens. o1-mini costs $3.00/M input and $12.00/M output via openai. Qwen3 32B costs $0.10/M input and $0.30/M output via deepinfra.
o1-mini supports 128K tokens and Qwen3 32B supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include input pricing ($3.00 vs $0.10/M), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
o1-mini is developed by OpenAI and Qwen3 32B is developed by Alibaba Cloud / Qwen Team.