Model Comparison

Qwen3.5-397B-A17B vs o3

Qwen3.5-397B-A17B significantly outperforms across most benchmarks. Qwen3.5-397B-A17B is 2.6x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Qwen3.5-397B-A17B outperforms in 5 benchmarks (BrowseComp, GPQA, Humanity's Last Exam, Multi-Challenge, SWE-Bench Verified), while o3 is better at 0 benchmarks.

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

Tue Apr 21 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 3.3x cheaper than o3 ($2.00/1M tokens).

For output processing, Qwen3.5-397B-A17B ($3.60/1M tokens) is 2.2x cheaper than o3 ($8.00/1M tokens).

In conclusion, o3 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
Input tokens$2.00
Output tokens$8.00
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's 200,000 tokens. o3 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
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 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

Text
Images
Audio
Video

License

Usage and distribution terms

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

Proprietary

Closed source

Release Timeline

When each model was launched

Qwen3.5-397B-A17B was released on 2026-02-16, while o3 was released on 2025-04-16.

Qwen3.5-397B-A17B is 10 months newer than o3.

Qwen3.5-397B-A17B

Feb 16, 2026

2 months ago

10mo newer
o3

Apr 16, 2025

1.0 years ago

Knowledge Cutoff

When training data ends

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

We can confirm o3'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

May 2024

Provider Availability

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

Qwen3.5-397B-A17B

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

o3

openai logo
OpenAI
Input Price:Input: $2.00/1MOutput Price:Output: $8.00/1M
* 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
Higher BrowseComp score (69.0% vs 49.7%)
Higher GPQA score (88.4% vs 83.3%)
Higher Humanity's Last Exam score (28.7% vs 14.7%)
Higher Multi-Challenge score (67.6% vs 60.4%)
Higher SWE-Bench Verified score (76.4% vs 69.1%)
OpenAI
Alibaba Cloud / Qwen TeamQwen3.5-397B-A17B
OpenAIo3
Compare in Playground

Detailed Comparison

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

FAQ

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

Qwen3.5-397B-A17B significantly outperforms across most benchmarks. Qwen3.5-397B-A17B is made by Alibaba Cloud / Qwen Team and o3 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%. o3 scores COLLIE: 98.4%, AIME 2024: 91.6%, ARC-AGI: 88.0%, MathVista: 86.8%, AIME 2025: 86.4%.
Qwen3.5-397B-A17B is 3.3x cheaper for input tokens. Qwen3.5-397B-A17B costs $0.60/M input and $3.60/M output via novita. o3 costs $2.00/M input and $8.00/M output via openai.
Qwen3.5-397B-A17B supports 262K tokens and o3 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 $2.00/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 is developed by OpenAI.