Model Comparison
o1-mini vs Qwen3 30B A3B
Qwen3 30B A3B significantly outperforms across most benchmarks. Qwen3 30B A3B is 35.0x cheaper per token.
Performance Benchmarks
Comparative analysis across standard metrics
o1-mini outperforms in 0 benchmarks, while Qwen3 30B A3B is better at 1 benchmark (GPQA).
Qwen3 30B A3B significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, o1-mini ($3.00/1M tokens) is 30.0x more expensive than Qwen3 30B A3B ($0.10/1M tokens).
For output processing, o1-mini ($12.00/1M tokens) is 40.0x more expensive than Qwen3 30B A3B ($0.30/1M tokens).
In conclusion, o1-mini is more expensive than Qwen3 30B A3B.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Both models have the same input context window of 128,000 tokens. Qwen3 30B A3B can generate longer responses up to 128,000 tokens, while o1-mini is limited to 65,536 tokens.
License
Usage and distribution terms
o1-mini is licensed under a proprietary license, while Qwen3 30B A3B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
o1-mini was released on 2024-09-12, while Qwen3 30B A3B was released on 2025-04-29.
Qwen3 30B A3B is 8 months newer than o1-mini.
Sep 12, 2024
1.6 years ago
Apr 29, 2025
11 months ago
7mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
o1-mini is available from OpenAI, Azure. Qwen3 30B A3B is available from DeepInfra, Novita, Fireworks.
o1-mini
Qwen3 30B A3B
Outputs Comparison
Key Takeaways
o1-mini
View detailsOpenAI
Qwen3 30B A3B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about o1-mini vs Qwen3 30B A3B