Model Comparison
Qwen3.5-397B-A17B vs o1-previewWhich is better in 2026?
Qwen3.5-397B-A17B significantly outperforms across most benchmarks. Qwen3.5-397B-A17B is 19.4x cheaper per token.
Verdict: Qwen3.5-397B-A17B vs o1-preview — which is better?
Qwen3.5-397B-A17B (by Alibaba Cloud / Qwen Team) and o1-preview (by OpenAI) 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.
Qwen3.5-397B-A17B outperforms in 2 benchmarks (GPQA, SWE-Bench Verified), while o1-preview is better at 0 benchmarks. Qwen3.5-397B-A17B significantly outperforms across most benchmarks.
On price, Qwen3.5-397B-A17B is roughly 19.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Qwen3.5-397B-A17B also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.
Choose Qwen3.5-397B-A17B if…
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- cost matters — it's about 19.4x cheaper per token
- you process long inputs — it offers a 262,144 token context window
- you want the most recent training data — it shipped Feb 2026
- you need open weights you can self-host or fine-tune
Choose o1-preview if…
- you want predictable pricing at $15.00/M input and $60.00/M output
Performance Benchmarks
Comparative analysis across standard metrics
Qwen3.5-397B-A17B outperforms in 2 benchmarks (GPQA, SWE-Bench Verified), while o1-preview is better at 0 benchmarks.
Qwen3.5-397B-A17B significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Qwen3.5-397B-A17B ($0.60/1M tokens) is 25.0x cheaper than o1-preview ($15.00/1M tokens).
For output processing, Qwen3.5-397B-A17B ($3.60/1M tokens) is 16.7x cheaper than o1-preview ($60.00/1M tokens).
In conclusion, o1-preview is more expensive than Qwen3.5-397B-A17B.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Qwen3.5-397B-A17B accepts 262,144 input tokens compared to o1-preview's 128,000 tokens. Qwen3.5-397B-A17B can generate longer responses up to 64,000 tokens, while o1-preview is limited to 32,768 tokens.
Input Capabilities
Supported data types and modalities
Qwen3.5-397B-A17B supports multimodal inputs, whereas o1-preview does not.
Qwen3.5-397B-A17B can handle both text and other forms of data like images, making it suitable for multimodal applications.
Qwen3.5-397B-A17B
o1-preview
License
Usage and distribution terms
Qwen3.5-397B-A17B is licensed under Apache 2.0, while o1-preview uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Qwen3.5-397B-A17B was released on 2026-02-16, while o1-preview was released on 2024-09-12.
Qwen3.5-397B-A17B is 17 months newer than o1-preview.
Feb 16, 2026
3 months ago
1.4yr newerSep 12, 2024
1.7 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Qwen3.5-397B-A17B is available from Novita. o1-preview is available from OpenAI, Azure.
Qwen3.5-397B-A17B
o1-preview
Outputs Comparison
Key Takeaways
Qwen3.5-397B-A17B
View detailsAlibaba Cloud / Qwen Team
o1-preview
View detailsOpenAI
No standout differentiators in the data we have for this pair.
Detailed Comparison
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FAQ
Common questions about Qwen3.5-397B-A17B vs o1-preview.