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#327

Hy4

Tencent Release: 2026-11-04 Tested on: 2026-11-10 00:46 tencent/hy4::high
~770B total (~49B active)MoEClosedEstimated
(high) (low) (none)

Summary

Hy4 scores 5.8 on AI BENCHY and ranks #327. It has 9.7 reliability, a 56.5% pass rate, $3.055 total cost, and 219.63s average response time.

What makes Hy4 unique: It stands out most in Coding, where it ranks #1, while Data parsing and extraction is its weakest area at #16. It uses unusually many reasoning tokens, which can help explain its slower or more expensive runs.

Model facts

Researched on 2026-11-09

Estimated
Parameters
~770B total (~49B active)
Architecture
MoE
Availability
Closed
License
-

Best estimate from public evidence; the vendor did not disclose every value. On the research date no official Hy4 (non-preview) weights or license are public; the expected tencent/Hy4 Hugging Face repository is not accessible. Counts are estimates carried from the Apache-2.0 Hy4 Preview backbone (770B total / 49B active MoE). Reclassify when Tencent publishes the exact checkpoint.

Score

5.8

Consistency

8.2

Total Output Tokens

2,328,895

Total Input Tokens

341,340

Input Price

$0.417 / 1M

Output Price

$1.251 / 1M

Cache Read Price

$0.021 / 1M

Cache Write Price

N/A

Cache prices apply to input tokens. Reads reuse cached prompts; writes store them and can cost extra. Output tokens use the output price.

Tests Correct

Wrong Tests: 13

Attempt pass rate: 56.5%

Flaky tests

5

Flaky tests had mixed outcomes across runs (at least one pass and one fail).

Response Time (avg)

219.63s

Response Time (max): 540.04s

Response Time (total): 5051.38s

Hamster playing table tennis

Prompt: Create a detailed SVG illustration of a hamster playing table tennis.

#327 Hy4

high
Cost
$0.030
Time
162.4s
Tokens
23,596 tok

Charts

Choose the first model, then click a second model to open a side-by-side page.

Total Output Tokens

Score vs Total Output Tokens

Quick Compare

Category Breakdown

Category Score Consistency Tests Correct
Agentic 4.7 1.6
Anti-AI Tricks 8.7 7.9
Coding 7.5 10.0
Combined 3.0 10.0
Data parsing and extraction 6.1 5.6
Domain specific 3.0 10.0
General Intelligence 10.0 10.0
Instructions following 7.3 5.8
Puzzle Solving 7.7 10.0
Tool Calling 4.6 1.8
Trivia 3.0 10.0

Compared models