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GPT-6 Luna vs Qwen3.5-2B

GPT-6 Luna leads the LLM Stats Score 43.1 to 3.3.

OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

GPT-6 Luna leads the overall LLM Stats Score 43.1 to 3.3, ranking #55 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose GPT-6 Luna

  • overall performance matters — it scores 43.1 and ranks #55 on LLM Stats
  • your work emphasizes reasoning and agents — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose Qwen3.5-2B

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

GPT-6 Luna
OpenAI
Qwen3.5-2B
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
43.1
#55
3.3
#332
Reasoning
39.9
#69
4.9
#319
Agents
30.1
#47
-0.8
#200
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.10 / M
— / M
Output price
$0.50 / M
— / M
Context window
1,050,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-6 Luna
Qwen3.5-2B
Tool use
22.5#56
-0.9#205
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

5 reported for GPT-6 Luna · 20 for Qwen3.5-2B

No common benchmarks found

GPT-6 Luna and Qwen3.5-2Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GPT-6 Luna specifies input context (1,050,000 tokens). Only GPT-6 Luna specifies output context (128,000 tokens).

OpenAI
GPT-6 Luna
Input1,050,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3.5-2B
Input- tokens
Output- tokens
Fri Oct 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-6 Luna and Qwen3.5-2B support multimodal inputs.

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

GPT-6 Luna

Text
Images
Audio
Video

Qwen3.5-2B

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6 Luna is licensed under a proprietary license, while Qwen3.5-2B uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

GPT-6 Luna

Proprietary

Closed source

Qwen3.5-2B

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-6 Luna was released on 2026-09-22, while Qwen3.5-2B was released on 2026-03-02.

GPT-6 Luna is 7 months newer than Qwen3.5-2B.

GPT-6 Luna

Sep 22, 2026

3 weeks ago

6mo newer
Qwen3.5-2B

Mar 2, 2026

7 months ago

Knowledge Cutoff

When training data ends

GPT-6 Luna has a documented knowledge cutoff of 2026-05-18, while Qwen3.5-2B's cutoff date is not specified.

We can confirm GPT-6 Luna's training data extends to 2026-05-18, but cannot make a direct comparison without Qwen3.5-2B's cutoff date.

GPT-6 Luna

May 2026

Qwen3.5-2B

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-6 Luna and Qwen3.5-2B side-by-side, then vote on the output you prefer.

GPT-6 Luna
✓ Preferred
Qwen3.5-2B
Open in Playground

FAQ

Common questions about GPT-6 Luna vs Qwen3.5-2B.

Which is better, GPT-6 Luna or Qwen3.5-2B?

GPT-6 Luna leads the LLM Stats Score 43.1 to 3.3. GPT-6 Luna is made by OpenAI and Qwen3.5-2B is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GPT-6 Luna compare to Qwen3.5-2B in benchmarks?

GPT-6 Luna scores DeepSWE 1.1: 66.6%, OSWorld 2.0: 52.7%, Agents' Last Exam: 50.9%, FrontierCode 1.1: 42.4%, AutomationBench v1.0.6: 20.7%. Qwen3.5-2B scores MMLU-Redux: 79.6%, IFEval: 78.6%, C-Eval: 73.2%, Global PIQA: 69.3%, MMLU-Pro: 66.5%.

What are the context window sizes for GPT-6 Luna and Qwen3.5-2B?

GPT-6 Luna supports 1.1M tokens and Qwen3.5-2B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-6 Luna and Qwen3.5-2B?

Key differences include LLM Stats Score (43.1 vs 3.3), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-6 Luna and Qwen3.5-2B?

GPT-6 Luna is developed by OpenAI and Qwen3.5-2B is developed by Alibaba Cloud / Qwen Team.

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