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GPT-6.1 Sol vs Qwen3.5-2B

GPT-6.1 Sol leads the LLM Stats Score 53.6 to 3.3.

OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

GPT-6.1 Sol leads the overall LLM Stats Score 53.6 to 3.3, ranking #7 overall.

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

Choose GPT-6.1 Sol

  • overall performance matters — it scores 53.6 and ranks #7 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-6.1 Sol
OpenAI
Qwen3.5-2B
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
53.6
#7
3.3
#332
Reasoning
51.6
#8
4.9
#319
Agents
37.9
#13
-0.8
#200
Cost, coverage & limits
Benchmark wins
—
—
Input price
$2.00 / M
— / M
Output price
$10.00 / M
— / M
Context window
1,050,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
GPT-6.1 Sol
Qwen3.5-2B
Math
34.9#48
3.6#300
Tool use
22.8#52
-0.9#205
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

17 reported for GPT-6.1 Sol · 20 for Qwen3.5-2B

No common benchmarks found

GPT-6.1 Sol 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-6.1 Sol specifies input context (1,050,000 tokens). Only GPT-6.1 Sol specifies output context (128,000 tokens).

OpenAI
GPT-6.1 Sol
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-6.1 Sol and Qwen3.5-2B support multimodal inputs.

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

GPT-6.1 Sol

Text
Images
Audio
Video

Qwen3.5-2B

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6.1 Sol 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-6.1 Sol

Proprietary

Closed source

Qwen3.5-2B

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-6.1 Sol was released on 2026-09-29, while Qwen3.5-2B was released on 2026-03-02.

GPT-6.1 Sol is 7 months newer than Qwen3.5-2B.

GPT-6.1 Sol

Sep 29, 2026

3 weeks ago

7mo newer
Qwen3.5-2B

Mar 2, 2026

7 months ago

Knowledge Cutoff

When training data ends

GPT-6.1 Sol has a documented knowledge cutoff of 2026-04-30, while Qwen3.5-2B's cutoff date is not specified.

We can confirm GPT-6.1 Sol's training data extends to 2026-04-30, but cannot make a direct comparison without Qwen3.5-2B's cutoff date.

GPT-6.1 Sol

Apr 2026

Qwen3.5-2B

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-6.1 Sol and Qwen3.5-2B side-by-side, then vote on the output you prefer.

GPT-6.1 Sol
✓ Preferred
Qwen3.5-2B
Open in Playground

FAQ

Common questions about GPT-6.1 Sol vs Qwen3.5-2B.

Which is better, GPT-6.1 Sol or Qwen3.5-2B?

GPT-6.1 Sol leads the LLM Stats Score 53.6 to 3.3. GPT-6.1 Sol 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-6.1 Sol compare to Qwen3.5-2B in benchmarks?

GPT-6.1 Sol scores FrontierMath Tier 4 (v2): 100.0%, HealthBench Consensus: 96.0%, MMMU-Pro: 86.0%, DeepSWE 1.1: 75.2%, SimpleQA Verified: 73.9%. 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-6.1 Sol and Qwen3.5-2B?

GPT-6.1 Sol 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-6.1 Sol and Qwen3.5-2B?

Key differences include LLM Stats Score (53.6 vs 3.3), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-6.1 Sol and Qwen3.5-2B?

GPT-6.1 Sol is developed by OpenAI and Qwen3.5-2B is developed by Alibaba Cloud / Qwen Team.

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