o1 vs Qwen3-Next-80B-A3B-Thinking
o1 and Qwen3-Next-80B-A3B-Thinking are closely matched at 20.9 and 23.8 on the LLM Stats Score. Qwen3-Next-80B-A3B-Thinking is 53.8x cheaper per token.
OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
o1 and Qwen3-Next-80B-A3B-Thinking are closely matched on the overall LLM Stats Score at 20.9 and 23.8.
In the 3 individual benchmarks reported for both models, o1 wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, Qwen3-Next-80B-A3B-Thinking is roughly 53.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
o1 also accepts a larger context window (200,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose o1
- you value its reported benchmark strengths — it wins 3 of 3 exact shared results
- you process long inputs — it offers a 200,000 token context window
Choose Qwen3-Next-80B-A3B-Thinking
- cost matters — it's about 53.8x 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.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
19 reported for o1 · 23 for Qwen3-Next-80B-A3B-Thinking
o1 outperforms in 3 benchmarks (GPQA, TAU-bench Airline, TAU-bench Retail), while Qwen3-Next-80B-A3B-Thinking is better at 0 benchmarks.
o1 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, o1 ($15.00/1M tokens) is 100.0x more expensive than Qwen3-Next-80B-A3B-Thinking ($0.15/1M tokens).
For output processing, o1 ($60.00/1M tokens) is 40.0x more expensive than Qwen3-Next-80B-A3B-Thinking ($1.50/1M tokens).
In conclusion, o1 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 accepts 200,000 input tokens compared to Qwen3-Next-80B-A3B-Thinking's 65,536 tokens. o1 can generate longer responses up to 100,000 tokens, while Qwen3-Next-80B-A3B-Thinking is limited to 65,536 tokens.
License
Usage and distribution terms
o1 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 was released on 2024-12-17, while Qwen3-Next-80B-A3B-Thinking was released on 2025-09-10.
Qwen3-Next-80B-A3B-Thinking is 9 months newer than o1.
Dec 17, 2024
1.8 years ago
Sep 10, 2025
1.0 years ago
8mo 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 is available from Azure, OpenAI. Qwen3-Next-80B-A3B-Thinking is available from Novita.
o1
Qwen3-Next-80B-A3B-Thinking
Outputs Comparison
Judge for yourself.
Run your own prompts against o1 and Qwen3-Next-80B-A3B-Thinking side-by-side, then vote on the output you prefer.
FAQ
Common questions about o1 vs Qwen3-Next-80B-A3B-Thinking.