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TencentOpen weightsReasoning modelCompare with another model

Hy4

As of 29 Oct 2026, Hy4 by Tencent scores 55.7 on the BenchLeader Index (581 ranked configurations), with its best results in maths (66) and weakest in agents & tools (49). It costs $1.25 per 1M tokens blended ($0.834 in / $2.50 out), and streams about 47 tokens/s (OpenRouter). Released 28 Aug 2026; 6 independent results so far.

Key facts (as of 29 Oct 2026)

  • Hy4 costs $1.25 per 1M tokens blended ($0.834 in / $2.50 out) (list price, 29 Oct 2026).
  • Hy4 streams about 47 tokens/s (OpenRouter, 29 Oct 2026).
  • Hy4 was released on 28 Aug 2026 (Tencent).

In detail. Hy4 is a Tencent open-weights reasoning model, released 28 Aug 2026. Its best configuration ranks #194 of 581 on the BenchLeader Index at 55.7 ±6.3, in the upper half. The ± is the point: 313 other configurations score within that range, so they and this one cannot be told apart on quality alone — price and speed are what separate them. It scores highest in maths (66) and lowest in agents & tools (49). At $1.25 per million tokens blended it is mid-priced. Output speed of 47 tokens per second puts it in the slowest quarter, with a first token in 2.9 s. Last measured 29 Oct 2026.

Blended price
$1.25/M
$0.834 in · $2.50 out
Output speed
47 tok/s
OpenRouter traffic, 7-day median; not yet measured by Artificial Analysis
First answer
2.93 s
Context
1.0M
Full answer
–
Cost per run
–
Released
28 Aug 2026
How it scores by categoryDashed line = average model (50). One step of 15 = one standard deviation.
  1. Overall index56
  2. Coding61
  3. Agents & tools49
  4. Maths66
  5. Knowledge58

How its index has moved

27 Oct 2026 to 29 Oct 2026
495662

The index is recomputed from scratch every day, so a line moves when a new benchmark result lands, when a publisher revises a score, or when the models it is normalised against change. Early movement usually means the score is still settling.

Benchmark results

See all LLM benchmarks. One column per reasoning effort. Rank is among every configuration of every model on that benchmark. Hover a score for the run it came from.

Coding

Benchmarknot statedSourceTrend
Arena WebDev1631#22Arena (LMArena)
IOI59.3%#18Vals AI
Code Migrationnot in index47.4%#14Vals AI
Code Migration v1.1not in index45.4%#19Vals AI
ProgramBenchnot in index0.0%#32Vals AI
Vibe Code Bench v1.1not in index77.5%#36Vals AI

Agents & tools

Benchmarknot statedSourceTrend
Arena Agent1.2#22Arena (LMArena)
Terminal-Bench 2.1 (Vals)55.1%#48Vals AI
CyberBenchnot in index65.4%#31Vals AI
Finance Agent v2not in index55.1%#24Vals AI
Finance Agent v2.1not in index61.6%#16Vals AI
Harvey's Legal Agent Benchmark v1.1not in index8.8%#21Vals AI
Harvey's Legal Agent Benchmark v1not in index9.2%#22Vals AI
Legal Research Benchnot in index45.2%#19Vals AI
SREBenchnot in index2.3%#24Vals AI
Tax Agent Benchnot in index32.6%#19Vals AI
Terminal-Bench 4.0 (Vals)not in index8.1%#45Vals AI
Terminal-Bench Sciencenot in index1.4%#36Vals AI

Maths

Benchmarknot statedSourceTrend
ProofBench75.0%#16Vals AI

Knowledge

Benchmarknot statedSourceTrend
LegalBench83.8%#48Vals AI
BioMysteryBenchnot in index69.3%#14Vals AI
Excel Modeling Benchmarknot in index58.1%#39Vals AI
Excel Modeling Benchmark v1.1not in index69.0%#21Vals AI
MedCodenot in index43.3%#47Vals AI
MedScribenot in index83.6%#45Vals AI
Public Benefits Bench v1.1not in index68.6%#9Vals AI

Composite

Benchmarknot statedSourceTrend
Vals Indexnot in index53.2#21Vals AI
Vals Finance Indexnot in index57.5%#14Vals AI
Vals Router Indexnot in index53.2%#16Vals AI

Where to run it

Every provider serving this model through OpenRouter, with throughput and first-token latency measured on live traffic over the last 30 minutes and each provider’s own price. Purple marks the best in each column.

ProviderSpeedFirst tokenInput $/MOutput $/MContextQuantisation
Cohere82 tok/s1.35 s$0.834$2.50262k–
Tencent Cloud46 tok/s3.09 s$0.751$2.251.0Mfp8
GMICloud42 tok/s1.87 s$0.834$2.50262kbf16
NovitaAI41 tok/s3.85 s$0.834$2.501Mfp8
AtlasCloud35 tok/s3.62 s$0.834$2.501.0Mfp8
DeepInfra31 tok/s1.52 s$0.792$2.381.0Mfp4
SiliconFlow26 tok/s1.93 s$0.834$2.501.0Mfp8

What a task costs

Estimates from list price, output speed and time to first answer for the best configuration. “With caching” assumes three-quarters of the input is served from the prompt cache at $0.042 per 1M. Reasoning tokens are not modelled.

WorkloadTokens in / outCostWith cachingTime
Chat reply400 / 300$0.0011$0.00089.4 s
Summarize a 30-page report12,000 / 600$0.011$0.004415.8 s
Code edit6,000 / 1,500$0.0088$0.005235.2 s
Agentic coding session60,000 / 4,000$0.060$0.0241.5 min
Structured extraction2,000 / 200$0.0022$0.00107.2 s

More from Tencent

New this month

See also

Questions people ask

What are Hy4's benchmark scores?
As of 29 Oct 2026, Hy4 scores 55.7 ±6.3 on the BenchLeader Index, strongest in maths (66) and weakest in agents & tools (49). That rests on 6 independent benchmark results, and every score on this page links to its publisher.
How does Hy4 rank?
Hy4 is #194 of 581 ranked configurations on 29 Oct 2026. 313 other configurations score within its margin, so the exact position matters less than the band. The leader is Claude Opus 5.5 (max effort) at 69.1.
How much does Hy4 cost per 1M tokens?
As of 29 Oct 2026, Hy4 costs $0.834 per 1M input tokens and $2.50 per 1M output tokens, $1.25 blended (three input tokens per output token).
When was Hy4 released?
Tencent released Hy4 on 28 Aug 2026.

Data as of 29 Oct 2026. Compare with another model.

Cite as: BenchLeader, “Hy4: benchmarks, pricing, speed and rank”, data as of 29 Oct 2026, https://www.benchleader.com/models/hy4.