Model Comparison

Qwen3.5-397B-A17B vs o3-pro

Comparing Qwen3.5-397B-A17B and o3-pro across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Qwen3.5-397B-A17B and o3-pro don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

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 33.3x cheaper than o3-pro ($20.00/1M tokens).

For output processing, Qwen3.5-397B-A17B ($3.60/1M tokens) is 22.2x cheaper than o3-pro ($80.00/1M tokens).

In conclusion, o3-pro is more expensive than Qwen3.5-397B-A17B.*

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

Lowest available price from all providers
Tue Apr 21 2026 • llm-stats.com
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Input tokens$0.60
Output tokens$3.60
Best providerNovita
OpenAI
o3-pro
Input tokens$20.00
Output tokens$80.00
Best providerOpenAI
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 o3-pro's 200,000 tokens. o3-pro 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
o3-pro
Input200,000 tokens
Output100,000 tokens
Tue Apr 21 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Qwen3.5-397B-A17B and o3-pro support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Qwen3.5-397B-A17B

Text
Images
Audio
Video

o3-pro

Text
Images
Audio
Video

License

Usage and distribution terms

Qwen3.5-397B-A17B is licensed under Apache 2.0, while o3-pro 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

o3-pro

Proprietary

Closed source

Release Timeline

When each model was launched

Qwen3.5-397B-A17B was released on 2026-02-16, while o3-pro was released on 2025-06-10.

Qwen3.5-397B-A17B is 8 months newer than o3-pro.

Qwen3.5-397B-A17B

Feb 16, 2026

2 months ago

8mo newer
o3-pro

Jun 10, 2025

10 months ago

Knowledge Cutoff

When training data ends

o3-pro has a documented knowledge cutoff of 2024-05-31, while Qwen3.5-397B-A17B's cutoff date is not specified.

We can confirm o3-pro's training data extends to 2024-05-31, but cannot make a direct comparison without Qwen3.5-397B-A17B's cutoff date.

Qwen3.5-397B-A17B

o3-pro

May 2024

Provider Availability

Qwen3.5-397B-A17B is available from Novita. o3-pro is available from OpenAI.

Qwen3.5-397B-A17B

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

o3-pro

openai logo
OpenAI
Input Price:Input: $20.00/1MOutput Price:Output: $80.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Alibaba Cloud / Qwen Team

Qwen3.5-397B-A17B

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
OpenAI
o3-pro

FAQ

Common questions about Qwen3.5-397B-A17B vs o3-pro

Qwen3.5-397B-A17B (Alibaba Cloud / Qwen Team) and o3-pro (OpenAI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
Qwen3.5-397B-A17B scores MMLU-Redux: 94.9%, HMMT 2025: 94.8%, C-Eval: 93.0%, HMMT25: 92.7%, IFEval: 92.6%.
Qwen3.5-397B-A17B is 33.3x cheaper for input tokens. Qwen3.5-397B-A17B costs $0.60/M input and $3.60/M output via novita. o3-pro costs $20.00/M input and $80.00/M output via openai.
Qwen3.5-397B-A17B supports 262K tokens and o3-pro 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 $20.00/M), 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 o3-pro is developed by OpenAI.