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GPT-5.6 Sol vs Hy3

GPT-5.6 Sol leads the LLM Stats Score 55.3 to 42.9.

OpenAI · Tencent · Updated for 2026

Which is better?

GPT-5.6 Sol leads the overall LLM Stats Score 55.3 to 42.9, ranking #4 overall.

In the 6 individual benchmarks reported for both models, GPT-5.6 Sol wins 6; this is a narrower head-to-head signal than the composite indexes.

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

Choose GPT-5.6 Sol

  • overall performance matters — it scores 55.3 and ranks #4 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 6 of 6 exact shared results
  • you want the most recent training data — it shipped Jul 2026

Choose Hy3

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

At a glance

The differences that matter most.

Core performance indexes
55.3
#4
42.9
#42
54.4
#3
43.0
#40
46.0
#2
32.8
#35
41.0
#3
26.6
#42
Cost, coverage & limits
Benchmark wins
6 of 6
0 of 6
Input price
$5.00 / M
— / M
Output price
$30.00 / M
— / M
Context window
1,050,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
GPT-5.6 Sol
Hy3
35.1#44
35.6#41
32.1#6
21.5#50
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

45 reported for GPT-5.6 Sol · 31 for Hy3

6 shared

GPT-5.6 Sol outperforms in 6 benchmarks (BrowseComp, DeepSWE, GPQA, SWE-Bench Pro, Terminal-Bench 2.1, Toolathlon), while Hy3 is better at 0 benchmarks.

GPT-5.6 Sol significantly outperforms across most benchmarks.

Sun Sep 06 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GPT-5.6 Sol specifies input context (1,050,000 tokens). Only GPT-5.6 Sol specifies output context (128,000 tokens).

OpenAI
GPT-5.6 Sol
Input1,050,000 tokens
Output128,000 tokens
Tencent
Hy3
Input- tokens
Output- tokens
Sun Sep 06 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-5.6 Sol supports multimodal inputs, whereas Hy3 does not.

GPT-5.6 Sol can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-5.6 Sol

Text
Images
Audio
Video

Hy3

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.6 Sol is licensed under a proprietary license, while Hy3 uses Apache 2.0.

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

GPT-5.6 Sol

Proprietary

Closed source

Hy3

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-5.6 Sol was released on 2026-07-09, while Hy3 was released on 2026-07-06.

GPT-5.6 Sol is 0 month newer than Hy3.

GPT-5.6 Sol

Jul 9, 2026

1 months ago

3d newer
Hy3

Jul 6, 2026

2 months ago

Knowledge Cutoff

When training data ends

GPT-5.6 Sol has a documented knowledge cutoff of 2026-02-16, while Hy3's cutoff date is not specified.

We can confirm GPT-5.6 Sol's training data extends to 2026-02-16, but cannot make a direct comparison without Hy3's cutoff date.

GPT-5.6 Sol

Feb 2026

Hy3

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against GPT-5.6 Sol and Hy3 side-by-side, then vote on the output you prefer.

GPT-5.6 Sol
✓ Preferred
Hy3
Open in Playground

FAQ

Common questions about GPT-5.6 Sol vs Hy3.

Which is better, GPT-5.6 Sol or Hy3?

GPT-5.6 Sol leads the LLM Stats Score 55.3 to 42.9. GPT-5.6 Sol is made by OpenAI and Hy3 is made by Tencent. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GPT-5.6 Sol compare to Hy3 in benchmarks?

GPT-5.6 Sol scores Connectors: 100.0%, Capture-the-Flag Challenges (Internal): 96.7%, HealthBench Consensus: 95.5%, GPQA: 94.6%, MRCR v2 (8-needle): 91.5%. Hy3 scores DeepSearchQA: 91.0%, GPQA: 90.4%, IMO-AnswerBench: 90.0%, BrowseComp: 84.2%, MCP Atlas: 79.1%.

What are the context window sizes for GPT-5.6 Sol and Hy3?

GPT-5.6 Sol supports 1.1M tokens and Hy3 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-5.6 Sol and Hy3?

Key differences include LLM Stats Score (55.3 vs 42.9), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5.6 Sol and Hy3?

GPT-5.6 Sol is developed by OpenAI and Hy3 is developed by Tencent.