Model Comparison

GPT-5.6 Luna vs Qwen3.7-PlusWhich is better in 2026?

GPT-5.6 Luna shows notably better performance in the majority of benchmarks. Qwen3.7-Plus is 4.0x cheaper per token.

Verdict: GPT-5.6 Luna vs Qwen3.7-Plus — which is better?

GPT-5.6 Luna (by OpenAI) and Qwen3.7-Plus (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

GPT-5.6 Luna outperforms in 3 benchmarks (GDPval-AA, GPQA, SWE-Bench Pro), while Qwen3.7-Plus is better at 1 benchmark (MMMU-Pro). GPT-5.6 Luna shows notably better performance in the majority of benchmarks.

On price, Qwen3.7-Plus is roughly 4.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GPT-5.6 Luna also accepts a larger context window (1,050,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose GPT-5.6 Luna if…

  • you want the strongest raw capability — it leads on 3 of 4 shared benchmarks
  • you process long inputs — it offers a 1,050,000 token context window
  • you want the most recent training data — it shipped Jul 2026

Choose Qwen3.7-Plus if…

  • cost matters — it's about 4.0x cheaper per token

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

GPT-5.6 Luna outperforms in 3 benchmarks (GDPval-AA, GPQA, SWE-Bench Pro), while Qwen3.7-Plus is better at 1 benchmark (MMMU-Pro).

GPT-5.6 Luna shows notably better performance in the majority of benchmarks.

Tue Jul 21 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3.7-Plus costs less

For input processing, GPT-5.6 Luna ($1.00/1M tokens) is 3.1x more expensive than Qwen3.7-Plus ($0.32/1M tokens).

For output processing, GPT-5.6 Luna ($6.00/1M tokens) is 4.7x more expensive than Qwen3.7-Plus ($1.28/1M tokens).

In conclusion, GPT-5.6 Luna is more expensive than Qwen3.7-Plus.*

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

Lowest available price from all providers
Tue Jul 21 2026 • llm-stats.com
OpenAI
GPT-5.6 Luna
Input tokens$1.00
Output tokens$6.00
Best providerOpenAI
Alibaba Cloud / Qwen Team
Qwen3.7-Plus
Input tokens$0.32
Output tokens$1.28
Best providerTogether
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GPT-5.6 Luna accepts 1,050,000 input tokens compared to Qwen3.7-Plus's 1,000,000 tokens. GPT-5.6 Luna can generate longer responses up to 128,000 tokens, while Qwen3.7-Plus is limited to 65,536 tokens.

OpenAI
GPT-5.6 Luna
Input1,050,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3.7-Plus
Input1,000,000 tokens
Output65,536 tokens
Tue Jul 21 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-5.6 Luna and Qwen3.7-Plus support multimodal inputs.

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

GPT-5.6 Luna

Text
Images
Audio
Video

Qwen3.7-Plus

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

GPT-5.6 Luna

Proprietary

Closed source

Qwen3.7-Plus

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-5.6 Luna was released on 2026-07-09, while Qwen3.7-Plus was released on 2026-05-31.

GPT-5.6 Luna is 1 month newer than Qwen3.7-Plus.

GPT-5.6 Luna

Jul 9, 2026

1 weeks ago

1mo newer
Qwen3.7-Plus

May 31, 2026

1 months ago

Knowledge Cutoff

When training data ends

GPT-5.6 Luna has a documented knowledge cutoff of 2026-02-16, while Qwen3.7-Plus's cutoff date is not specified.

We can confirm GPT-5.6 Luna's training data extends to 2026-02-16, but cannot make a direct comparison without Qwen3.7-Plus's cutoff date.

GPT-5.6 Luna

Feb 2026

Qwen3.7-Plus

—

Provider Availability

GPT-5.6 Luna is available from OpenAI. Qwen3.7-Plus is available from Together.

GPT-5.6 Luna

openai logo
OpenAI
Input Price:Input: $1.00/1MOutput Price:Output: $6.00/1M

Qwen3.7-Plus

together logo
Together
Input Price:Input: $0.32/1MOutput Price:Output: $1.28/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

OpenAI
Larger context window (1,050,000 tokens)
Higher GDPval-AA score (53.1% vs 31.5%)
Higher GPQA score (92.3% vs 90.3%)
Higher SWE-Bench Pro score (62.7% vs 57.6%)
Alibaba Cloud / Qwen Team

Qwen3.7-Plus

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens
Less expensive output tokens
Higher MMMU-Pro score (79.0% vs 78.4%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against GPT-5.6 Luna and Qwen3.7-Plus side-by-side, then vote on the output you prefer.

GPT-5.6 Luna
✓ Preferred
Qwen3.7-Plus
Open in Playground
AI Model Comparison Table
Feature
OpenAI
GPT-5.6 Luna
Alibaba Cloud / Qwen Team
Qwen3.7-Plus

FAQ

Common questions about GPT-5.6 Luna vs Qwen3.7-Plus.

Which is better, GPT-5.6 Luna or Qwen3.7-Plus?

GPT-5.6 Luna shows notably better performance in the majority of benchmarks. GPT-5.6 Luna is made by OpenAI and Qwen3.7-Plus is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GPT-5.6 Luna compare to Qwen3.7-Plus in benchmarks?

GPT-5.6 Luna scores Connectors: 99.9%, HealthBench Consensus: 95.1%, GPQA: 92.3%, Search and Function-Calling: 89.7%, Capture-the-Flag Challenges (Internal): 85.2%. Qwen3.7-Plus scores IFEval: 94.6%, MMLU-Redux: 94.5%, HMMT Feb 26: 92.9%, MRCR v2: 91.7%, OmniDocBench 1.5: 91.4%.

Is GPT-5.6 Luna cheaper than Qwen3.7-Plus?

Qwen3.7-Plus is 3.1x cheaper for input tokens. GPT-5.6 Luna costs $1.00/M input and $6.00/M output via openai. Qwen3.7-Plus costs $0.32/M input and $1.28/M output via together.

What are the context window sizes for GPT-5.6 Luna and Qwen3.7-Plus?

GPT-5.6 Luna supports 1.1M tokens and Qwen3.7-Plus supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-5.6 Luna and Qwen3.7-Plus?

Key differences include context window (1.1M vs 1.0M), input pricing ($1.00 vs $0.32/M). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5.6 Luna and Qwen3.7-Plus?

GPT-5.6 Luna is developed by OpenAI and Qwen3.7-Plus is developed by Alibaba Cloud / Qwen Team.

Related comparisons