Model Comparison

Qwen3.5-397B-A17B vs GPT-4.5

Qwen3.5-397B-A17B significantly outperforms across most benchmarks. Qwen3.5-397B-A17B is 69.4x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Qwen3.5-397B-A17B outperforms in 5 benchmarks (GPQA, IFEval, MMMLU, Multi-Challenge, SWE-Bench Verified), while GPT-4.5 is better at 0 benchmarks.

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

Thu Apr 16 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 125.0x cheaper than GPT-4.5 ($75.00/1M tokens).

For output processing, Qwen3.5-397B-A17B ($3.60/1M tokens) is 41.7x cheaper than GPT-4.5 ($150.00/1M tokens).

In conclusion, GPT-4.5 is more expensive than Qwen3.5-397B-A17B.*

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

Lowest available price from all providers
Thu Apr 16 2026 • llm-stats.com
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Input tokens$0.60
Output tokens$3.60
Best providerNovita
OpenAI
GPT-4.5
Input tokens$75.00
Output tokens$150.00
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 GPT-4.5's 128,000 tokens. Qwen3.5-397B-A17B can generate longer responses up to 64,000 tokens, while GPT-4.5 is limited to 4,096 tokens.

Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Input262,144 tokens
Output64,000 tokens
OpenAI
GPT-4.5
Input128,000 tokens
Output4,096 tokens
Thu Apr 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Qwen3.5-397B-A17B and GPT-4.5 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

GPT-4.5

Text
Images
Audio
Video

License

Usage and distribution terms

Qwen3.5-397B-A17B is licensed under Apache 2.0, while GPT-4.5 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

GPT-4.5

Proprietary

Closed source

Release Timeline

When each model was launched

Qwen3.5-397B-A17B was released on 2026-02-16, while GPT-4.5 was released on 2025-02-27.

Qwen3.5-397B-A17B is 12 months newer than GPT-4.5.

Qwen3.5-397B-A17B

Feb 16, 2026

1 months ago

11mo newer
GPT-4.5

Feb 27, 2025

1.1 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. GPT-4.5 is available from OpenAI.

Qwen3.5-397B-A17B

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

GPT-4.5

openai logo
OpenAI
Input Price:Input: $75.00/1MOutput Price:Output: $150.00/1M
* 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 GPQA score (88.4% vs 69.5%)
Higher IFEval score (92.6% vs 88.2%)
Higher MMMLU score (88.5% vs 85.1%)
Higher Multi-Challenge score (67.6% vs 43.8%)
Higher SWE-Bench Verified score (76.4% vs 38.0%)
OpenAI

Detailed Comparison

AI Model Comparison Table
Feature
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
OpenAI
GPT-4.5

FAQ

Common questions about Qwen3.5-397B-A17B vs GPT-4.5

Qwen3.5-397B-A17B significantly outperforms across most benchmarks. Qwen3.5-397B-A17B is made by Alibaba Cloud / Qwen Team and GPT-4.5 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%. GPT-4.5 scores GSM8k: 97.0%, MMLU: 90.8%, CharXiv-D: 90.0%, IFEval: 88.2%, HumanEval: 88.0%.
Qwen3.5-397B-A17B is 125.0x cheaper for input tokens. Qwen3.5-397B-A17B costs $0.60/M input and $3.60/M output via novita. GPT-4.5 costs $75.00/M input and $150.00/M output via openai.
Qwen3.5-397B-A17B supports 262K tokens and GPT-4.5 supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (262K vs 128K), input pricing ($0.60 vs $75.00/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 GPT-4.5 is developed by OpenAI.