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ModelCap

Hy-MT2-7B

Current board #74Official publisher releaseOpen weights7d #74 → #74

Tencent·tencent/hy-mt2-7b

Hy-MT2-7B is ModelCap current-board rank #74 with Index 38.9 (Modeled · prior), from the ModelCap Index as of 3 Sept 2026, 03:28 UTC.

Hy-MT2-7B listed OpenRouter input price is $0.074 per 1M tokens and listed output price is $0.295 per 1M tokens, from OpenRouter listed prices as of 3 Sept 2026, 03:28 UTC.

Hy-MT2-7B has a published context limit of 8K tokens in the ModelCap catalogue as of 3 Sept 2026, 03:28 UTC.

Hy-MT2-7B has 1 published OpenRouter serving endpoint, from OpenRouter as of 3 Sept 2026, 03:28 UTC.

Hy-MT2-7B weight access is open weights, from ModelCap classification of published repository metadata as of 3 Sept 2026, 03:28 UTC.

Snapshot facts · download the public dataset · methodology

ModelCap Index · Current board
38.9#74
Estimated · 5% support · score interval 38.9–89.9
No admitted evaluation publication timestamp yet
Market Gravity
13.9
Secondary market signal
Input
$0.074
per 1M tokens
Output
$0.295
per 1M tokens
Context
8K
tokens
Providers
1
endpoint
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
Tencentfp8$0.074$0.2958Kfp8

ModelCap Index · Current board

Methodology
38.9
Modeled · prior · calibrated architecture-and-release-era fallback from static public metadata
Current board
#74
Public rank basis
Modeled · prior (architecture)
Index support
5.2% · weak
Index interval
38.9–89.9
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/hy-mt2-7b · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata tencent/Hy-MT2-7B@9b0eb4e8f001def3e5ff6469a0ac96fdb39ec223 (not the evaluation revision)
Index observations used
0
Qualified Index evidence point
64.4
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)
2.5
Liquidity (providers × uptime)
20.2
Open reach (HF downloads)
18.4
Surface (context / tools / modalities)
5.0
Freshness
94.6
  • · OpenRouter popularity #269
  • · 1 live provider
  • · HF 30d downloads 12226
  • · Catalogue: context 8192
  • · First seen 2026-08-19

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
0.0
0.0–17.7 uncertainty interval
Excluded from rank
Confidence
75%
Training support
217 models · 132 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
67.7
partial · 76% metadata coverage
Not capability
Artifact reproducibility
85.0
Access & legal clarity
100.0
Deployability
74.0
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
13.9
OpenRouter weekly popularity
#269 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%
2.5

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%
18.4

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

Freshness5%
94.6

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

Specification

Context window
8K tokens
Max output
4K tokens
Inputs
Text
Outputs
Text
Tokenizer
Other
Cached input tokens
Not offered
First seen on OpenRouter
19 Aug 2026

Capabilities

  • Not supported: Reasoning
  • Not 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
9b0eb4e8f001
Parameters
8.0B
Architecture
HunYuanDenseV1ForCausalLM
Model type
hunyuan_v1_dense
Hugging Face downloads (30d)
12K
Downloads (all time)
87K
Likes
209
Repository updated
26 May 2026, 09:05 UTC

Compare Hy-MT2-7B with

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Ranked neighbours

Models within 3 places of #74 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.

Hy-MT2-7B: common questions

How does Hy-MT2-7B rank among AI models?

Hy-MT2-7B holds ModelCap Index position #74 of 225 ranked language models as of 3 September 2026, with an Index score of 38.9 (interval 38.9–89.9); evidence: modeled · prior. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.

How much does Hy-MT2-7B cost per 1M tokens?

Hy-MT2-7B is listed at $0.074 per 1M input tokens and $0.295 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 Hy-MT2-7B?

Hy-MT2-7B has a published context window of 8K tokens (8,192) and a maximum output of 4K tokens. Individual providers can serve less than the published maximum; the providers table lists each endpoint's own limit.

Is Hy-MT2-7B 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/Hy-MT2-7B on Hugging Face.

Which API providers serve Hy-MT2-7B?

One provider serves Hy-MT2-7B 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 Hy-MT2-7B been evaluated on?

Hy-MT2-7B'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 Hy-MT2-7B compare with Step 3.7 Flash?

Hy-MT2-7B ranks #74 (Index 38.9) and Step 3.7 Flash ranks #75 (Index 38.2) 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 Hy-MT2-7B released?

Hy-MT2-7B first appeared in the catalogue on 19 Aug 2026. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.