Request a Pilot
‹ PublicAI Index

The LLM benchmark aggregator.

Hy4

Tencent · open weights

Strongest in Biology research (#16 of 31), weakest in Professional (#73 of 194). Above par in 9 of 11 scopes. Among the models it meets almost everywhere, it finishes behind Gemini 4 Argon and Muse Wonder Full and ahead of Grok 4.7 and Gemini 3.8 Flash.

§ 1 · Profile

What it is good at

Bars run from 50 — the average of the models each source lists — so right of the line is above par. The middle column is the gap to whoever leads that scope.

Coding56.7#25/179
Agentic coding57.2#23/173
Reasoning52.8#68/195
Mathematics54.3#63/152
Professional51.9#73/194
Biology research49.5#16/31
IT operations40.8#25/33
Cybersecurity50.4#31/47
Legal54.6#49/173
Finance54.7#52/162
Medical52.8#65/149

§ 2 · Head to head

What it beats, and what beats it

The same models turn up scope after scope. Counted once: where both were placed, who finished higher. Bars run right for Hy4, left for the other.

GPT-4o miniwon 7 · lost 0
Ling 3.0 Flash Finwon 7 · lost 0
Laguna XS.2won 7 · lost 0
Laguna M.1won 7 · lost 0
GPT-5.4 miniwon 7 · lost 0
Claude 3.5 Haikuwon 7 · lost 0
Claude 3.5 Sonnetwon 7 · lost 0
Beam 1.0won 7 · lost 0
Mistral Medium 3.5won 8 · lost 0
Mistral Large 3won 8 · lost 0
GPT-4owon 8 · lost 0
GPT-4.1 nanowon 8 · lost 0
Qwen3.6 Pluswon 8 · lost 0
Gemini 2.0 Flashwon 8 · lost 0
MiMo V2.5won 8 · lost 0
DeepSeek V3won 8 · lost 0
MiMo V2.5 Prowon 8 · lost 0
GPT-4.1 miniwon 8 · lost 0
DeepSeek V4won 8 · lost 0
MiniMax M2.1won 8 · lost 0
Claude Sonnet 4won 8 · lost 0
Kimi K2won 8 · lost 0
Mercury 2.5won 9 · lost 0
Gemini 3.5 Flash-Litewon 9 · lost 0
Inkling Smallwon 9 · lost 0
Step 5won 9 · lost 0
Mistral Large 4won 9 · lost 0
DeepSeek V4 Flashwon 9 · lost 1
Qwen3.8 27Bwon 8 · lost 1
Grok 4.3won 7 · lost 1
Command Awon 7 · lost 1
Claude Haiku 4.5won 7 · lost 1
Kimi K2.5won 7 · lost 1
GPT-5.4 nanowon 7 · lost 1
Qwen3.7 Maxwon 7 · lost 1
Kimi K2.6won 7 · lost 1
GLM-4.7won 7 · lost 1
Grok 3won 7 · lost 1
Gemini 2.5 Flashwon 7 · lost 1
Qwen3.6 27Bwon 6 · lost 1
Ling 3.0 Flashwon 6 · lost 1
Inklingwon 7 · lost 2
Grok 4.1 Fastwon 6 · lost 2
Grok 4 Fastwon 6 · lost 2
Grok 4.20won 6 · lost 2
Gemini 3.1 Flash-Litewon 6 · lost 2
GPT OSS 120Bwon 6 · lost 2
Qwen3 Maxwon 6 · lost 2
MiniMax M2.7won 6 · lost 2
MiniMax M2.5won 6 · lost 2
GLM-5won 6 · lost 2
GLM-5.1won 6 · lost 2
DeepSeek V3.2won 6 · lost 2
GLM-5.2won 6 · lost 2
O1won 6 · lost 2
Claude 3.7 Sonnetwon 6 · lost 2
Claude Opus 4won 6 · lost 2
O3 Miniwon 6 · lost 2
DeepSeek R1won 6 · lost 2
O4 Miniwon 6 · lost 2
GPT-6 Lunawon 8 · lost 3
GPT-5.6 Lunawon 8 · lost 3
Gemini 3.6 Flashwon 7 · lost 3
Gemini 3.1 Prowon 6 · lost 3
MiniMax M3won 6 · lost 3
Ember 1won 6 · lost 3
MiMo V2.6 Flashwon 7 · lost 4
GLM-4.6won 5 · lost 3
Qwen3.5 Flashwon 5 · lost 3
Grok 4won 5 · lost 3
Grok 3 Miniwon 5 · lost 3
GLM-5.3 Flashwon 6 · lost 4
Qwen3.8 Maxwon 5 · lost 4
Gemini 3.8 Flashwon 6 · lost 5
Grok 4.7won 6 · lost 5
Qwen 3.5 Pluswon 4 · lost 4
Kimi K2 Thinkingwon 4 · lost 4
Claude Sonnet 4.5won 4 · lost 4
Gemini 3.5 Flashwon 4 · lost 4
GPT-4.1won 4 · lost 4
Muse Spark 1.1won 4 · lost 4
Grok 4.5won 5 · lost 5
Claude Sonnet 5won 5 · lost 5
Muse Spark 1.2won 5 · lost 5
Gemini 3.7 Flashwon 4 · lost 6
MiMo V2.6 Prowon 4 · lost 6
DeepSeek V4 Prowon 4 · lost 6
GPT-5 miniwon 3 · lost 5
Gemini 3 Flashwon 3 · lost 5
GPT-5.1won 3 · lost 5
Gemini 3 Prowon 3 · lost 5
Gemini 2.5 Prowon 3 · lost 5
Claude Sonnet 4.6won 3 · lost 5
GPT-5won 3 · lost 5
GPT-5.4won 3 · lost 5
Kimi K3.1 Prowon 3 · lost 5
Inkling 2 Smallwon 3 · lost 5
O3won 3 · lost 5
Claude Haiku 5.5won 4 · lost 7
DeepSeek V4.1 Flashwon 4 · lost 7
Kimi K3won 3 · lost 7
Grok 4.6won 3 · lost 7
GPT-6.1 Solwon 3 · lost 8
GPT-6 Astrawon 3 · lost 8
Claude Opus 4.5won 2 · lost 6
Muse Sparkwon 2 · lost 6
GPT-5.2won 2 · lost 6
Claude Opus 4.6won 2 · lost 6
Claude Opus 4.7won 2 · lost 6
Claude Opus 4.8won 2 · lost 6
GPT-5.5won 2 · lost 7
GLM-5.3won 2 · lost 8
Claude Sonnet 5.5won 2 · lost 9
GPT-6 Solwon 2 · lost 9
Claude Opus 5.5won 2 · lost 9
Claude Fable 5.2won 1 · lost 6
Muse Wonderwon 1 · lost 8
GPT-5.6 Terrawon 1 · lost 9
Claude Fable 5won 0 · lost 8
Muse Spark 1.3won 0 · lost 9
Claude Fable 5.1won 0 · lost 10
Claude Opus 5won 0 · lost 10
GPT-5.6 Solwon 0 · lost 11
Muse Wonder Fullwon 0 · lost 11
Gemini 4 Argonwon 0 · lost 11

§ 3 · Sources

Where the numbers come from

1 publication, 12 figures. Every one links to the page it was read from.

Vals.ai ↗12 measuresread 2026-11-11
Vals · Legal Research Bench 41.35%Vals · LegalBench 83.76%Vals · Harvey Legal Agent Benchmark 12.5%Vals · Finance Agent 55.06%Vals · MedCode 43.25%Vals · MedScribe 83.6%Vals · BioMysteryBench 69.26%Vals · CyberBench 65.36%Vals · SRE Bench 2.29%Vals · Vibe Code Bench 81.01% (OpenHands)Vals · Code Migration 47.43%Vals · ProofBench 75%

Badge

PublicAI Index badge for Hy4[![PublicAI Index](https://publicai.io/model-index/badge?model=hy4)](https://publicai.io/model-index/m/hy4)