Model Comparison

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

Qwen3.5-397B-A17B shows notably better performance in the majority of benchmarks. Qwen3.5-397B-A17B is 1.4x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Qwen3.5-397B-A17B outperforms in 3 benchmarks (GPQA, Multi-Challenge, SWE-Bench Verified), while o3-mini is better at 1 benchmark (IFEval).

Qwen3.5-397B-A17B shows notably better performance in the majority of 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 1.8x cheaper than o3-mini ($1.10/1M tokens).

For output processing, Qwen3.5-397B-A17B ($3.60/1M tokens) is 1.2x cheaper than o3-mini ($4.40/1M tokens).

In conclusion, o3-mini 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
o3-mini
Input tokens$1.10
Output tokens$4.40
Best providerAzure
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Context Window

Maximum input and output token capacity

Qwen3.5-397B-A17B accepts 262,144 input tokens compared to o3-mini's 200,000 tokens. o3-mini 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-mini
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 o3-mini 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

o3-mini

Text
Images
Audio
Video

License

Usage and distribution terms

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

Proprietary

Closed source

Release Timeline

When each model was launched

Qwen3.5-397B-A17B was released on 2026-02-16, while o3-mini was released on 2025-01-30.

Qwen3.5-397B-A17B is 13 months newer than o3-mini.

Qwen3.5-397B-A17B

Feb 16, 2026

1 months ago

1.0yr newer
o3-mini

Jan 30, 2025

1.2 years ago

Knowledge Cutoff

When training data ends

o3-mini has a documented knowledge cutoff of 2023-09-30, while Qwen3.5-397B-A17B's cutoff date is not specified.

We can confirm o3-mini's training data extends to 2023-09-30, but cannot make a direct comparison without Qwen3.5-397B-A17B's cutoff date.

Qwen3.5-397B-A17B

—

o3-mini

Sep 2023

Provider Availability

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

Qwen3.5-397B-A17B

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

o3-mini

azure logo
Azure
Input Price:Input: $1.10/1MOutput Price:Output: $4.40/1M
openai logo
OpenAI
Input Price:Input: $1.10/1MOutput Price:Output: $4.40/1M
* 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)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher GPQA score (88.4% vs 77.2%)
Higher Multi-Challenge score (67.6% vs 39.9%)
Higher SWE-Bench Verified score (76.4% vs 49.3%)
OpenAI
Higher IFEval score (93.9% vs 92.6%)

Detailed Comparison

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

FAQ

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

Qwen3.5-397B-A17B shows notably better performance in the majority of benchmarks. Qwen3.5-397B-A17B is made by Alibaba Cloud / Qwen Team and o3-mini 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-mini scores COLLIE: 98.7%, MATH: 97.9%, IFEval: 93.9%, MGSM: 92.0%, AIME 2024: 87.3%.
Qwen3.5-397B-A17B is 1.8x cheaper for input tokens. Qwen3.5-397B-A17B costs $0.60/M input and $3.60/M output via novita. o3-mini costs $1.10/M input and $4.40/M output via azure.
Qwen3.5-397B-A17B supports 262K tokens and o3-mini 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 $1.10/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 o3-mini is developed by OpenAI.