Model Comparison
o1-preview vs Qwen3-235B-A22B-Instruct-2507Which is better in 2026?
Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks. Qwen3-235B-A22B-Instruct-2507 is 84.0x cheaper per token.
Verdict: o1-preview vs Qwen3-235B-A22B-Instruct-2507 — which is better?
o1-preview (by OpenAI) and Qwen3-235B-A22B-Instruct-2507 (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-preview outperforms in 0 benchmarks, while Qwen3-235B-A22B-Instruct-2507 is better at 2 benchmarks (GPQA, SimpleQA). Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks.
On price, Qwen3-235B-A22B-Instruct-2507 is roughly 84.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Qwen3-235B-A22B-Instruct-2507 also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.
Choose o1-preview if…
- you want predictable pricing at $15.00/M input and $60.00/M output
Choose Qwen3-235B-A22B-Instruct-2507 if…
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- cost matters — it's about 84.0x cheaper per token
- you process long inputs — it offers a 262,144 token context window
- you want the most recent training data — it shipped Jul 2025
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
o1-preview outperforms in 0 benchmarks, while Qwen3-235B-A22B-Instruct-2507 is better at 2 benchmarks (GPQA, SimpleQA).
Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, o1-preview ($15.00/1M tokens) is 100.0x more expensive than Qwen3-235B-A22B-Instruct-2507 ($0.15/1M tokens).
For output processing, o1-preview ($60.00/1M tokens) is 75.0x more expensive than Qwen3-235B-A22B-Instruct-2507 ($0.80/1M tokens).
In conclusion, o1-preview is more expensive than Qwen3-235B-A22B-Instruct-2507.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Qwen3-235B-A22B-Instruct-2507 accepts 262,144 input tokens compared to o1-preview's 128,000 tokens. Qwen3-235B-A22B-Instruct-2507 can generate longer responses up to 131,072 tokens, while o1-preview is limited to 32,768 tokens.
License
Usage and distribution terms
o1-preview is licensed under a proprietary license, while Qwen3-235B-A22B-Instruct-2507 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-preview was released on 2024-09-12, while Qwen3-235B-A22B-Instruct-2507 was released on 2025-07-22.
Qwen3-235B-A22B-Instruct-2507 is 10 months newer than o1-preview.
Sep 12, 2024
1.9 years ago
Jul 22, 2025
1.0 years ago
10mo 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-preview is available from OpenAI, Azure. Qwen3-235B-A22B-Instruct-2507 is available from Fireworks, Novita.
o1-preview
Qwen3-235B-A22B-Instruct-2507
Outputs Comparison
Key Takeaways
o1-preview
View detailsOpenAI
No standout differentiators in the data we have for this pair.
Qwen3-235B-A22B-Instruct-2507
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against o1-preview and Qwen3-235B-A22B-Instruct-2507 side-by-side, then vote on the output you prefer.
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FAQ
Common questions about o1-preview vs Qwen3-235B-A22B-Instruct-2507.