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ModelCap

Hy4 preview

Current board #19Official publisher releaseNewOpen weights7d #74 → #19

Tencent·tencent/hy4-preview

Hy4 preview is ModelCap current-board rank #19 with Index 68.6 (Modeled · peer benchmarks), from the ModelCap Index as of 3 Sept 2026, 02:43 UTC.

Hy4 preview listed OpenRouter input price is $0.834 per 1M tokens and listed output price is $2.50 per 1M tokens, from OpenRouter listed prices as of 3 Sept 2026, 02:43 UTC.

Hy4 preview has a published context limit of 1M tokens in the ModelCap catalogue as of 3 Sept 2026, 02:43 UTC.

Hy4 preview has 1 published OpenRouter serving endpoint, from OpenRouter as of 3 Sept 2026, 02:43 UTC.

Hy4 preview weight access is open weights, from ModelCap classification of published repository metadata as of 3 Sept 2026, 02:43 UTC.

Snapshot facts · download the public dataset · methodology

ModelCap Index · Current board
68.6#19
Estimated · 25% support · score interval 68.6–96.9
No admitted evaluation publication timestamp yet
Market Gravity
53.1
Secondary market signal
Input
$0.834
per 1M tokens
Output
$2.50
per 1M tokens
Context
1M
tokens
Providers
1
endpoint
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
Tencentfp8$0.834$2.501Mfp8100.0%

Reported evaluation leads (10)

Excluded from score

Structured rows reported in this exact model repository at the pinned revision below. They are useful research leads, but remain quarantined until dataset revision, harness, configuration and identity pass ModelCap’s independent admission review.

Dataset / taskMetricValueRevisionProvenance
benchflow/skillsbench
skillsbench_v1_1
62.9
Unpinned
not published
Reported
Quarantined
cais/hle
hle
43.4
Unpinned
not published
Reported
Quarantined
cais/hle
hle
55.4
Unpinned
not published
Reported
Quarantined
datacurve/deep-swe
deep_swe
64.3
Unpinned
not published
Reported
Quarantined
harborframework/terminal-bench-2.1
terminalbench_2_1
85.4
Unpinned
not published
Reported
Quarantined
hkust-nlp/Toolathlon
toolathlon_verified
74.1
Unpinned
not published
Reported
Quarantined
Idavidrein/gpqa
diamond
92.3
Unpinned
not published
Reported
Quarantined
mercor/apex-agents
apex-agents
37.1
Unpinned
not published
Reported
Quarantined
ScaleAI/SWE-bench_Pro
SWE_Bench_Pro
65.7
Unpinned
not published
Reported
Quarantined
SWE-bench/SWE-bench_Multilingual
swe_bench_multilingual_%_resolved
82.9
Unpinned
not published
Reported
Quarantined

Other versions (2)

ModelCap Index · Current board

Methodology
68.6
Modeled · peer benchmarks · calibrated architecture-and-release-era fallback from static public metadata
Current board
#19
Public rank basis
Modeled · peer benchmarks (architecture)
Index support
25.1% · limited
Index interval
68.6–96.9
Rank posterior
Not available
Top 5 / Top 10 probability
Not available / Not available
Posterior as of
Snapshot timestamp unavailable
Evidence as of
No admitted evaluation publication timestamp
Identity binding
Exact catalogue product · tencent/tencent/hy4-preview · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata tencent/Hy4-preview@705d81ee51566a186d645b74c974d642ef2828fe (not the evaluation revision)
Index observations used
0
Qualified Index evidence point
80.9
Architecture fallback
estimated · 0% coverage · 0 anchors
Bayesian Evidence Score · measured evidence input only

BES normalizes admitted public benchmark evidence for measured Index rows. Its legacy score and observables prior do not define the public language rank.

Observed capability
Evidence status
No admitted measured evidence
General preference
Coding
Agents & tools
Reasoning
Evidence breadth
0%
Evidence coverage
0%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
75.8
Liquidity (providers × uptime)
20.2
Open reach (HF downloads)
9.6
Surface (context / tools / modalities)
85.0
Freshness
97.8
  • · OpenRouter popularity #4
  • · 1 live provider
  • · HF 30d downloads 3516
  • · Catalogue: context 1048576, reasoning, tools
  • · First seen 2026-08-28

These adoption and deployment observations remain context only. They do not change this model's ModelCap Index score or rank.

The bounded 0–100 capability score blends each source’s competitive placement with its published achievement, then combines capability families. Evidence breadth adds a modest uncertainty adjustment; price and popularity are not part of benchmark-led rank.

Experimental capability estimate

Estimate policy
65.7
48.2–83.2 uncertainty interval
Excluded from rank
Confidence
73%
Training support
215 models · 131 lineages
Out-of-domain check
in domain
Feature coverage
100%
Lineage-held-out error
11.3 MAE

Experimental estimate. This layer predicts from admitted evidence and safe metadata only. It never enters ModelCap Score or rank.

Deployment readiness

Metadata index
69.5
partial · 76% metadata coverage
Not capability
Artifact reproducibility
85.0
Access & legal clarity
100.0
Deployability
80.0
Evaluation provenance
0.0

Missing: artifactReproducibility.base-lineage, evaluationProvenance.admitted-evaluation-observations, evaluationProvenance.capability-family-breadth, evaluationProvenance.evaluation-source-diversity, evaluationProvenance.identity-and-source-confidence, evaluationProvenance.evaluation-dataset-revisions.

A metadata completeness and deployability index—not a safety certification, quality grade, or production-readiness claim.

Market activity

Venue coverage
Market Gravity
53.1
OpenRouter weekly popularity
#4 of 310

Market Gravity uses OpenRouter’s full-catalogue popularity order. Sparse Vercel top-ten observations appear only when published and do not affect the score.

Arena preference

No matched Arena rating

This model is visible because it is available in the live catalogue, but it has no trustworthy community result yet. ModelCap does not infer a quality score from price, features, or market activity.

Market Gravity breakdown

Usage55%
75.8

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
20.2

Independent providers versus the model's open or closed cohort, weighted by uptime.

Open reach15%
9.6

Hugging Face 30-day downloads for open models; neutral for closed models.

Freshness5%
97.8

Time since first public availability, on a six-month half-life.

Specification

Context window
1M tokens
Max output
64K tokens
Inputs
Text
Outputs
Text
Tokenizer
Other
Cached input tokens
$0.042 / 1M
First seen on OpenRouter
28 Aug 2026

Capabilities

  • Supported: Reasoning
  • Supported: Tool use
  • Supported: Structured output
  • Supported: Response format
  • Not supported: Moderated

Weights & access

Open weights. Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI.

Access
Open weights
Licence
apache-2.0
Pinned revision
705d81ee5156
Parameters
780.0B
Architecture
HYV4ForCausalLM
Model type
hy_v4
Hugging Face downloads (30d)
4K
Downloads (all time)
4K
Likes
400
Repository updated
28 Aug 2026, 14:58 UTC

Compare Hy4 preview with

Pick any model

Alternatives to Hy4 preview, by the numbers

Ranked neighbours

Models within 3 places of #19 on the ModelCap Index.

Cheaper at a similar or higher Index

Index score within 3 points of, or above, this model's, with a lower listed blended price (3:1 input:output).

Other ranked Tencent models

The same publisher's other current models with a public Index position.

Hy4 preview: common questions

How does Hy4 preview rank among AI models?

Hy4 preview holds ModelCap Index position #19 of 225 ranked language models as of 3 September 2026, with an Index score of 68.6 (interval 68.6–96.9); evidence: modeled · peer benchmarks. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.

How much does Hy4 preview cost per 1M tokens?

Hy4 preview is listed at $0.834 per 1M input tokens and $2.50 per 1M output tokens as of 3 September 2026. Prices come from the OpenRouter catalogue and re-observe on every refresh.

What is the context window of Hy4 preview?

Hy4 preview has a published context window of 1M tokens (1,048,576) and a maximum output of 64K tokens. Individual providers can serve less than the published maximum; the providers table lists each endpoint's own limit.

Is Hy4 preview open-weight?

Open weights (apache-2.0). Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI. The repository is tencent/Hy4-preview on Hugging Face.

Which API providers serve Hy4 preview?

One provider serves Hy4 preview through OpenRouter as of 3 September 2026: Tencent. Each provider's price, context limit, quantization and measured uptime are in the providers table above.

Which benchmarks has Hy4 preview been evaluated on?

Hy4 preview's Index position rests on the evidence listed on this page; it has no result on the public boards ModelCap tracks as separate leaderboards as of 3 September 2026. The evidence panel names each source and its publication date.

How does Hy4 preview compare with GPT-5.6 Luna?

Hy4 preview ranks #19 (Index 68.6) and GPT-5.6 Luna ranks #18 (Index 69.7) on the ModelCap Index as of 3 September 2026. The head-to-head page lines up their benchmarks, listed prices, context windows and provider counts side by side.

When was Hy4 preview released?

Hy4 preview first appeared in the catalogue on 28 Aug 2026. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.