Model Comparison

Qwen3.5-397B-A17B vs GPT-5.5

GPT-5.5 significantly outperforms across most benchmarks. Qwen3.5-397B-A17B is 8.3x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Qwen3.5-397B-A17B outperforms in 0 benchmarks, while GPT-5.5 is better at 5 benchmarks (BrowseComp, GPQA, Humanity's Last Exam, Terminal-Bench 2.0, Toolathlon).

GPT-5.5 significantly outperforms across most benchmarks.

Wed May 13 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 8.3x cheaper than GPT-5.5 ($5.00/1M tokens).

For output processing, Qwen3.5-397B-A17B ($3.60/1M tokens) is 8.3x cheaper than GPT-5.5 ($30.00/1M tokens).

In conclusion, GPT-5.5 is more expensive than Qwen3.5-397B-A17B.*

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

Lowest available price from all providers

Wed May 13 2026 • llm-stats.com

Qwen3.5-397B-A17B

Input tokens$0.60

Output tokens$3.60

Best providerNovita

GPT-5.5

Input tokens$5.00

Output tokens$30.00

Best providerOpenAI

Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GPT-5.5 accepts 1,050,000 input tokens compared to Qwen3.5-397B-A17B's 262,144 tokens. GPT-5.5 can generate longer responses up to 128,000 tokens, while Qwen3.5-397B-A17B is limited to 64,000 tokens.

Qwen3.5-397B-A17B

Input262,144 tokens

Output64,000 tokens

GPT-5.5

Input1,050,000 tokens

Output128,000 tokens

Wed May 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Qwen3.5-397B-A17B and GPT-5.5 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-5.5

Text

Images

Audio

Video

License

Usage and distribution terms

Qwen3.5-397B-A17B is licensed under Apache 2.0, while GPT-5.5 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-5.5

Proprietary

Closed source

Release Timeline

When each model was launched

Qwen3.5-397B-A17B was released on 2026-02-16, while GPT-5.5 was released on 2026-04-23.

GPT-5.5 is 2 months newer than Qwen3.5-397B-A17B.

Qwen3.5-397B-A17B

Feb 16, 2026

2 months ago

GPT-5.5

Apr 23, 2026

2 weeks ago

2mo newer

Knowledge Cutoff

When training data ends

GPT-5.5 has a documented knowledge cutoff of 2025-12-01, while Qwen3.5-397B-A17B's cutoff date is not specified.

We can confirm GPT-5.5's training data extends to 2025-12-01, but cannot make a direct comparison without Qwen3.5-397B-A17B's cutoff date.

Qwen3.5-397B-A17B

—

GPT-5.5

Dec 2025

Provider Availability

Qwen3.5-397B-A17B is available from Novita. GPT-5.5 is available from OpenAI.

Qwen3.5-397B-A17B

Novita

Input Price:Input: $0.60/1MOutput Price:Output: $3.60/1M

GPT-5.5

OpenAI

Input Price:Input: $5.00/1MOutput Price:Output: $30.00/1M

* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Qwen3.5-397B-A17B

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens

Less expensive output tokens

Has open weights

GPT-5.5

View details

OpenAI

Larger context window (1,050,000 tokens)

Higher BrowseComp score (84.4% vs 69.0%)

Higher GPQA score (93.6% vs 88.4%)

Higher Humanity's Last Exam score (52.2% vs 28.7%)

Higher Terminal-Bench 2.0 score (82.7% vs 52.5%)

Higher Toolathlon score (55.6% vs 38.3%)

Detailed Comparison

AI Model Comparison Table
Feature	Qwen3.5-397B-A17B	GPT-5.5

FAQ

Common questions about Qwen3.5-397B-A17B vs GPT-5.5.

Which is better, Qwen3.5-397B-A17B or GPT-5.5?

GPT-5.5 significantly outperforms across most benchmarks. Qwen3.5-397B-A17B is made by Alibaba Cloud / Qwen Team and GPT-5.5 is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Qwen3.5-397B-A17B compare to GPT-5.5 in benchmarks?

Qwen3.5-397B-A17B scores MMLU-Redux: 94.9%, HMMT 2025: 94.8%, C-Eval: 93.0%, HMMT25: 92.7%, IFEval: 92.6%. GPT-5.5 scores Tau2 Telecom: 98.0%, ARC-AGI: 95.0%, GPQA: 93.6%, ARC-AGI v2: 85.0%, GDPval-MM: 84.9%.

Is Qwen3.5-397B-A17B cheaper than GPT-5.5?

Qwen3.5-397B-A17B is 8.3x cheaper for input tokens. Qwen3.5-397B-A17B costs $0.60/M input and $3.60/M output via novita. GPT-5.5 costs $5.00/M input and $30.00/M output via openai.

What are the context window sizes for Qwen3.5-397B-A17B and GPT-5.5?

Qwen3.5-397B-A17B supports 262K tokens and GPT-5.5 supports 1.1M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Qwen3.5-397B-A17B and GPT-5.5?

Key differences include context window (262K vs 1.1M), input pricing ($0.60 vs $5.00/M), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Qwen3.5-397B-A17B and GPT-5.5?

Qwen3.5-397B-A17B is developed by Alibaba Cloud / Qwen Team and GPT-5.5 is developed by OpenAI.