Model Comparison

Qwen3.5-397B-A17B vs o1

Qwen3.5-397B-A17B significantly outperforms across most benchmarks. Qwen3.5-397B-A17B is 19.4x cheaper per token.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Qwen3.5-397B-A17B outperforms in 3 benchmarks (GPQA, MMMLU, SWE-Bench Verified), while o1 is better at 0 benchmarks.

Qwen3.5-397B-A17B significantly outperforms across most benchmarks.

Wed Apr 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3.5-397B-A17B costs less

For input processing, Qwen3.5-397B-A17B ($0.60/1M tokens) is 25.0x cheaper than o1 ($15.00/1M tokens).

For output processing, Qwen3.5-397B-A17B ($3.60/1M tokens) is 16.7x cheaper than o1 ($60.00/1M tokens).

In conclusion, o1 is more expensive than Qwen3.5-397B-A17B.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Wed Apr 15 2026 • llm-stats.com
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Input tokens$0.60
Output tokens$3.60
Best providerNovita
OpenAI
o1
Input tokens$15.00
Output tokens$60.00
Best providerAzure
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Qwen3.5-397B-A17B accepts 262,144 input tokens compared to o1's 200,000 tokens. o1 can generate longer responses up to 100,000 tokens, while Qwen3.5-397B-A17B is limited to 64,000 tokens.

Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Input262,144 tokens
Output64,000 tokens
OpenAI
o1
Input200,000 tokens
Output100,000 tokens
Wed Apr 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3.5-397B-A17B supports multimodal inputs, whereas o1 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

Text
Images
Audio
Video

o1

Text
Images
Audio
Video

License

Usage and distribution terms

Qwen3.5-397B-A17B is licensed under Apache 2.0, while o1 uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

Qwen3.5-397B-A17B

Apache 2.0

Open weights

o1

Proprietary

Closed source

Release Timeline

When each model was launched

Qwen3.5-397B-A17B was released on 2026-02-16, while o1 was released on 2024-12-17.

Qwen3.5-397B-A17B is 14 months newer than o1.

Qwen3.5-397B-A17B

Feb 16, 2026

1 months ago

1.2yr newer
o1

Dec 17, 2024

1.3 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Qwen3.5-397B-A17B is available from Novita. o1 is available from Azure, OpenAI.

Qwen3.5-397B-A17B

novita logo
Novita
Input Price:Input: $0.60/1MOutput Price:Output: $3.60/1M

o1

azure logo
Azure
Input Price:Input: $15.00/1MOutput Price:Output: $60.00/1M
openai logo
OpenAI
Input Price:Input: $15.00/1MOutput Price:Output: $60.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Alibaba Cloud / Qwen Team

Qwen3.5-397B-A17B

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher GPQA score (88.4% vs 78.0%)
Higher MMMLU score (88.5% vs 87.7%)
Higher SWE-Bench Verified score (76.4% vs 41.0%)
OpenAI

Detailed Comparison

AI Model Comparison Table
Feature
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
OpenAI
o1

FAQ

Common questions about Qwen3.5-397B-A17B vs o1

Qwen3.5-397B-A17B significantly outperforms across most benchmarks. Qwen3.5-397B-A17B is made by Alibaba Cloud / Qwen Team and o1 is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Qwen3.5-397B-A17B scores MMLU-Redux: 94.9%, HMMT 2025: 94.8%, C-Eval: 93.0%, HMMT25: 92.7%, IFEval: 92.6%. o1 scores GSM8k: 97.1%, MATH: 96.4%, GPQA Physics: 92.8%, MMLU: 91.8%, MGSM: 89.3%.
Qwen3.5-397B-A17B is 25.0x cheaper for input tokens. Qwen3.5-397B-A17B costs $0.60/M input and $3.60/M output via novita. o1 costs $15.00/M input and $60.00/M output via azure.
Qwen3.5-397B-A17B supports 262K tokens and o1 supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (262K vs 200K), input pricing ($0.60 vs $15.00/M), multimodal support (yes vs no), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
Qwen3.5-397B-A17B is developed by Alibaba Cloud / Qwen Team and o1 is developed by OpenAI.