Model Comparison
o1-mini vs Qwen3 MaxWhich is better in 2026?
Qwen3 Max significantly outperforms across most benchmarks. Qwen3 Max is 3.2x cheaper per token.
Verdict: o1-mini vs Qwen3 Max — which is better?
o1-mini (by OpenAI) and Qwen3 Max (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
o1-mini outperforms in 0 benchmarks, while Qwen3 Max is better at 1 benchmark (GPQA). Qwen3 Max significantly outperforms across most benchmarks.
On price, Qwen3 Max is roughly 3.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Qwen3 Max also accepts a larger context window (256,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose o1-mini if…
- you want predictable pricing at $3.00/M input and $12.00/M output
Choose Qwen3 Max if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- cost matters — it's about 3.2x cheaper per token
- you process long inputs — it offers a 256,000 token context window
- you want the most recent training data — it shipped Dec 2025
Performance Benchmarks
Comparative analysis across standard metrics
o1-mini outperforms in 0 benchmarks, while Qwen3 Max is better at 1 benchmark (GPQA).
Qwen3 Max 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 6.0x more expensive than Qwen3 Max ($0.50/1M tokens).
For output processing, o1-mini ($12.00/1M tokens) is 2.4x more expensive than Qwen3 Max ($5.00/1M tokens).
In conclusion, o1-mini is more expensive than Qwen3 Max.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Qwen3 Max accepts 256,000 input tokens compared to o1-mini's 128,000 tokens. Qwen3 Max can generate longer responses up to 131,072 tokens, while o1-mini is limited to 65,536 tokens.
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
o1-mini was released on 2024-09-12, while Qwen3 Max was released on 2025-12-15.
Qwen3 Max is 15 months newer than o1-mini.
Sep 12, 2024
1.8 years ago
Dec 15, 2025
6 months ago
1.3yr 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 Max is available from Novita.
o1-mini
Qwen3 Max
Outputs Comparison
Key Takeaways
o1-mini
View detailsOpenAI
No standout differentiators in the data we have for this pair.
Qwen3 Max
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
FAQ
Common questions about o1-mini vs Qwen3 Max.