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Superseded.Tencent has newer models in this line:Hy3

Model profile · Tencent

Hy3 Preview

SupersededReleased Apr 23, 2026Open WeightReasoning256K context

Released Apr 23, 2026 see all recent releases

Hy3 Preview scores 42.8 out of 100 and ranks #168 of 216. This profile shows 6 source-displayable benchmark rows; its strongest eligible category is Agentic at #73. Published weights can be self-hosted, but infrastructure cost varies and is not a comparable API token rate.

Data as of August 7, 2026 · How the score is built

Strongest published evidence

Agentic ranks #73. Particularly useful for coding agents, browser research, and computer-use workflows.

Validate before choosing

6 published rows leave some tracked benchmark slots empty. No comparable first-party API token rate is published.

Decision snapshot

Each value carries a field reference instead of floating alone. Markers compare this model with the current ranked and priced catalog; they are not absolute quality thresholds.

Capability

42.8/100

field median 57.5

#168 of 216 ranked models

Price

Self-hosted; infrastructure cost varies

input median $1

No comparable first-party hosted token rate

Speed

Not measured

field median 89 tok/s

Time to first token not measured

Context

256Ktokens

field median 201,500

Reported for this model; direct source link not stored

Capability shape

Each axis shows percentile within that category’s eligible cohort. The comparison outline is the median of the six nearest public-score peers; a collapsed vertex means the category is not rank-eligible.

Hy3 Preview category percentile values

  • Agentic45th percentile
  • Coding33rd percentile
  • ReasoningNot eligible
  • KnowledgeNot eligible
  • MathNot eligible
  • MultilingualNot eligible
  • MultimodalNot eligible
  • Instruction followingNot eligible

The dashed outline is median of 6 nearest peers.

Eligible category ranks

  1. Agentic#73/132
  2. Coding#89/132
  3. ReasoningNot ranked
  4. KnowledgeNot ranked
  5. MathNot ranked
  6. MultilingualNot ranked
  7. MultimodalNot ranked
  8. Inst. FollowingNot ranked
Top decileTop quartileMid-fieldNot eligible

How much of this is verified

Coverage is split by category so a strong number never hides a thin evidence base. Verified means the row is tied to a published source; provisional rows remain visible but separate.

  1. Agentic2/2 verified
  2. Coding2/2 verified
  3. ReasoningNot measured
  4. Knowledge2/2 verified
  5. MathNot measured
  6. MultilingualNot measured
  7. MultimodalNot measured
  8. Inst. FollowingNot measured
Verified sourceProvisionalNot measured

Spec sheet

Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.

API model ID
Not published
Context window
256K
Maximum output
Not sourced yet
Knowledge cutoff
Not sourced yet
Input modalities
Not sourced yet
Output modalities
Not sourced yet
Parameters
Not sourced yet
Availability
Not sourced yet
Cloud regions
Not tracked yet
Lifecycle
Superseded
API capabilities
Tool calling, structured outputs, and batch support are not tracked yet
Prompt caching
Not documented in the pricing record
Self-host
Open weights available; hardware estimate not sourced
Rate limits
Not tracked yet

Deployment options

Self-host and provider-specific paths stay separate from benchmark evidence so operating constraints are visible before a score becomes the whole decision.

Published weights are available, but BenchLM does not yet have a sourced parameter and VRAM profile for this exact model. Hardware cost estimates stay unavailable until that sizing record is complete.

Estimate VRAM from known parameters

Category score record

Scores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.

Category scores, ranks, weighting, benchmark coverage, and evidence status
CategoryScore
AgenticRank #73 of 132Percentile 45thWeight 22%2 benchmarksVerified45.7
CodingRank #89 of 132Percentile 33rdWeight 20%2 benchmarksVerified45.8
ReasoningWeight 17%0 benchmarksNot measuredNot measured
KnowledgeRank Not rankedWeight 12%2 benchmarksVerified38.9
MathWeight 5%0 benchmarksNot measuredNot measured
MultilingualWeight 7%0 benchmarksNot measuredNot measured
MultimodalWeight 12%0 benchmarksNot measuredNot measured
Inst. FollowingWeight 5%0 benchmarksNot measuredNot measured

Benchmark ledger

Coding opens by default. The marker compares each value with the best source-verified result in the catalog; provisional leaders do not set the reference. Expand the remaining categories for every published row.

Coding2 rows
Coding benchmark values, best verified comparison, weight, and source status
SWE-bench VerifiedSoftware Engineering Benchmark VerifiedScore74.4%Versus best verified row

Best verified: Claude Opus 5 · 96%

Gap21.6 behindWeightWeighted 16%
Terminal-Bench 2.0Score54.4%Versus best verified row

Best verified: GPT-5.6 Sol · 91.9%

Gap37.5 behindWeightDisplay only
Agentic2 rows
Agentic benchmark values, best verified comparison, weight, and source status
Terminal-Bench 2.0Score54.4%Versus best verified row

Best verified: GPT-5.6 Sol · 91.9%

Gap37.5 behindWeightWeighted 38%
Gert LabsGert Labs Composite Game BenchmarkScore36.91%Versus best verified row

Best verified: Claude Opus 4.8 · 72.97%

Gap36.1 behindWeightDisplay only
Benchmark exact
Knowledge2 rows
Knowledge benchmark values, best verified comparison, weight, and source status
GPQAGraduate-Level Google-Proof Q&AScore87.2%Versus best verified row

Best verified: Sakana Fugu-Ultra · 95.5%

Gap8.3 behindWeightWeighted 7%
GPQA-DGPQA DiamondScore87.2%Versus best verified row

Best verified: Sakana Fugu-Ultra · 95.5%

Gap8.3 behindWeightDisplay only

Lineage

The sequence follows explicit supersedes links. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.

Apr 23, 2026 · you are here

Hy3 Preview

Score 42.8 · Price not listed

Jul 6, 2026

Hy3

Not publicly ranked · Price not listed

preview · preview

How to read this profile

The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.

Hy3 Preview ranks #168 of 216 on the public leaderboard with a score of 42.8/100. It does not yet have enough sourced coverage for a verified position.

Hy3 Preview is a open weight model with a 256K context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.

Hy3 Preview sits in the Hy3 family with Hy3. 6 of 381 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.

Its strongest eligible category is Agentic at #73, while its lowest eligible position is Coding at #89. particularly useful for coding agents, browser research, and computer-use workflows.

Radar

Hy3 Preview release history

Full release history

Frequently asked questions

How does Hy3 Preview perform overall in AI benchmarks?

Hy3 Preview ranks #168 out of 216 models on the public BenchAlign leaderboard, with a score of 42.8/100. Its evidence status is Estimated, and this profile shows 6 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.

Is Hy3 Preview good for knowledge and understanding?

Hy3 Preview has source-displayable benchmark coverage for knowledge and understanding, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

Is Hy3 Preview good for coding and programming?

Hy3 Preview ranks #89 out of 132 eligible models for coding and programming, with a public category score of 45.8/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.

Is Hy3 Preview good for agentic tool use and computer tasks?

Hy3 Preview ranks #73 out of 132 eligible models for agentic tool use and computer tasks, with a public category score of 45.7/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.

Is Hy3 Preview open source?

Hy3 Preview is an open-weight model from Tencent. Its weights can be downloaded for local or hosted deployment, subject to the published license. Open weight does not automatically mean open source: training data and training code may remain private, and commercial restrictions can still apply.

Which sibling models are related to Hy3 Preview?

Hy3 Preview belongs to the Hy3 family. Related tracked variants include Hy3. A sibling link indicates shared lineage or a documented configuration relationship; it does not mean the variants have identical pricing, context limits, benchmark evidence, or deployment behavior. Compare before switching.

Does Hy3 Preview have full benchmark coverage on BenchLM?

No. Hy3 Preview currently has 22 source-displayable rows across 381 tracked benchmark slots. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.

What is the context window size of Hy3 Preview?

Hy3 Preview has a reported context window of 256K in the exact-model catalog record. The value stays visible, but the profile marks its source link as unavailable instead of presenting it as directly documented. Maximum output length remains separate because providers often publish a different limit.

Last updated August 7, 2026. Runtime fields remain blank until a sourced snapshot exists.

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