o1-mini vs Qwen3-Next-80B-A3B-Thinking
Qwen3-Next-80B-A3B-Thinking significantly outperforms across most benchmarks. Qwen3-Next-80B-A3B-Thinking is 10.8x cheaper per token.
OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
o1-mini outperforms in 0 benchmarks, while Qwen3-Next-80B-A3B-Thinking is better at 1 benchmark (GPQA). Qwen3-Next-80B-A3B-Thinking significantly outperforms across most benchmarks.
On price, Qwen3-Next-80B-A3B-Thinking is roughly 10.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
o1-mini also accepts a larger context window (128,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current benchmark, pricing, and model metadata for 2026.
Choose o1-mini
- you process long inputs — it offers a 128,000 token context window
Choose Qwen3-Next-80B-A3B-Thinking
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- cost matters — it's about 10.8x cheaper per token
- you want the most recent training data — it shipped Sep 2025
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
o1-mini outperforms in 0 benchmarks, while Qwen3-Next-80B-A3B-Thinking is better at 1 benchmark (GPQA).
Qwen3-Next-80B-A3B-Thinking significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, o1-mini ($3.00/1M tokens) is 20.0x more expensive than Qwen3-Next-80B-A3B-Thinking ($0.15/1M tokens).
For output processing, o1-mini ($12.00/1M tokens) is 8.0x more expensive than Qwen3-Next-80B-A3B-Thinking ($1.50/1M tokens).
In conclusion, o1-mini is more expensive than Qwen3-Next-80B-A3B-Thinking.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
o1-mini accepts 128,000 input tokens compared to Qwen3-Next-80B-A3B-Thinking's 65,536 tokens. Both models can generate responses up to 65,536 tokens.
License
Usage and distribution terms
o1-mini is licensed under a proprietary license, while Qwen3-Next-80B-A3B-Thinking 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-Next-80B-A3B-Thinking was released on 2025-09-10.
Qwen3-Next-80B-A3B-Thinking is 12 months newer than o1-mini.
Sep 12, 2024
2.0 years ago
Sep 10, 2025
11 months ago
12mo 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-Next-80B-A3B-Thinking is available from Novita.
o1-mini
Qwen3-Next-80B-A3B-Thinking
Outputs Comparison
Judge for yourself.
Run your own prompts against o1-mini and Qwen3-Next-80B-A3B-Thinking side-by-side, then vote on the output you prefer.
FAQ
Common questions about o1-mini vs Qwen3-Next-80B-A3B-Thinking.