Capability
79.2/100
field median 58.8
#7 of 228 ranked models
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Data as of August 28, 2026 · How the score is built
Agentic ranks #9. Particularly useful for coding agents, browser research, and computer-use workflows.
28 published rows leave some tracked benchmark slots empty. No comparable first-party API token rate is published.
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
79.2/100
field median 58.8
#7 of 228 ranked models
Price
Self-hosted; infrastructure cost varies
input median $1
No comparable first-party hosted token rate
Speed
Not measured
field median 86 tok/s
Time to first token not measured
Context
1Mtokens
field median 256,000
Maximum output length is tracked separately
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.
Hy4 preview category percentile values
The dashed outline is median of 6 nearest peers.
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.
Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.
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 parametersScores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticRank #9 of 140Percentile 94thWeight 22%13 benchmarksVerified | 70.0 | #9 of 140 | 94th | 22% | 13 benchmarks | Verified |
| CodingRank #11 of 146Percentile 93rdWeight 20%8 benchmarksVerified | 68.9 | #11 of 146 | 93rd | 20% | 8 benchmarks | Verified |
| ReasoningWeight 17%1 benchmarkVerified | Score pending | Not ranked | Not available | 17% | 1 benchmark | Verified |
| KnowledgeRank Not rankedWeight 12%4 benchmarksVerified | 82.6 | Not ranked | Not available | 12% | 4 benchmarks | Verified |
| MathWeight 5%1 benchmarkVerified | Score pending | Not ranked | Not available | 5% | 1 benchmark | Verified |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| MultimodalRank Not rankedWeight 12%1 benchmarkVerified | 84.0 | Not ranked | Not available | 12% | 1 benchmark | Verified |
| Inst. FollowingWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
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.
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| SWE-bench Pro | Score65.7% | Versus best verified row Best verified: Claude Mythos 5 · 80.3% | Gap14.6 behind | WeightWeighted 10% | Provider exact |
| Terminal-Bench 2.1Terminal-Bench 2.1 (provider run) | Score85.4% | Versus best verified row Best verified: GLM-5.3 · 88.2% | Gap2.8 behind | WeightDisplay only | Provider exact |
| SWE Multilingual | Score82.9% | Versus best verified row Best verified: Claude Opus 5 · 89.5% | Gap6.6 behind | WeightDisplay only | Provider exact |
| deepSwe | Score64.3% | Versus best verified row Best verified: GPT-5.6 Sol · 72.7% | Gap8.4 behind | WeightDisplay only | Provider exact |
| NL2Repo | Score58.9% | Versus best verified row Best verified: DeepSeek V4 Pro 0813 · 61.5% | Gap2.6 behind | WeightDisplay only | Provider exact |
| ProgramBenchProgramBench: Can Language Models Rebuild Programs From Scratch? | Score17.5% | Versus best verified row Best verified: Claude Opus 5 · 93.0% | Gap75.5 behind | WeightDisplay only | Provider exact |
| PostTrain Bench | Score35.6% | Versus best verified row Best verified: GLM-5.3 · 39.8% | Gap4.2 behind | WeightDisplay only | Provider exact |
| sweMarathon | Score31.9% | Versus best verified row Best verified: GLM-5.3 · 42.5% | Gap10.6 behind | WeightDisplay only | Provider exact |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| Terminal-Bench 2.1Terminal-Bench 2.1 (provider run) | Score85.4% | Versus best verified row Best verified: GLM-5.3 · 88.2% | Gap2.8 behind | WeightDisplay only | Provider exact |
| CyberGym | Score78.4% | Versus best verified row Best verified: Fugu Cyber · 86.9% | Gap8.5 behind | WeightDisplay only | Provider exact |
| WideResearch | Score83.9% | Versus best verified row Best verified: Hy4 preview · 83.9% | GapBest verified | WeightDisplay only | Provider exact |
| DRACOData Research and Analysis with Complex Operations | Score77.2% | Versus best verified row Best verified: Claude Opus 5 · 88.6% | Gap11.4 behind | WeightDisplay only | Provider exact |
| MCP Atlas | Score83.7% | Versus best verified row Best verified: Muse Spark 1.1 · 88.1% | Gap4.4 behind | WeightDisplay only | Provider exact |
| Toolathlon-Verified | Score74.1% | Versus best verified row Best verified: Claude Opus 5 · 80.6% | Gap6.5 behind | WeightDisplay only | Provider exact |
| APEX-Agents | Score37.1% | Versus best verified row Best verified: Grok 4.6 · 57.5% | Gap20.4 behind | WeightDisplay only | Provider exact |
| skillsBench | Score62.9% | Versus best verified row Best verified: Qwen3.8 Max · 70.2% | Gap7.3 behind | WeightDisplay only | Provider exact |
| JobBench | Score61.7% | Versus best verified row Best verified: Hy4 preview · 61.7% | GapBest verified | WeightDisplay only | Provider exact |
| Agents' Last Exam | Score22.8% | Versus best verified row Best verified: Qwen3.8 Max · 52.4% | Gap29.6 behind | WeightDisplay only | Provider exact |
| AutomationBench | Score32.1% | Versus best verified row Best verified: GLM-5.3-Flash · 48.8% | Gap16.7 behind | WeightDisplay only | Provider exact |
| BankerToolBench | Score78.6% | Versus best verified row Best verified: Hy4 preview · 78.6% | GapBest verified | WeightDisplay only | Provider exact |
| HLE w/ toolsHumanity's Last Exam with tools | Score55.4% | Versus best verified row Best verified: Claude Opus 5 · 64.7% | Gap9.3 behind | WeightDisplay only | Provider exact |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| CritPtCritical Physics Tasks | Score16.9% | Versus best verified row Best verified: GLM-5.2 · 20.9% | Gap4 behind | WeightDisplay only | Provider exact |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| HLEHumanity's Last Exam | Score55.4% | Versus best verified row Best verified: Claude Opus 5 · 64.7% | Gap9.3 behind | WeightWeighted 45% | Provider exact |
| GPQAGraduate-Level Google-Proof Q&A | Score92.3% | Versus best verified row Best verified: Sakana Fugu-Ultra · 95.5% | Gap3.2 behind | WeightWeighted 7% | Provider exact |
| GPQA-DGPQA Diamond | Score92.3% | Versus best verified row Best verified: Sakana Fugu-Ultra · 95.5% | Gap3.2 behind | WeightDisplay only | Provider exact |
| HLE w/o toolsHumanity's Last Exam without tools | Score43.4% | Versus best verified row Best verified: Claude Mythos 5 · 59% | Gap15.6 behind | WeightDisplay only | Provider exact |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| Apex | Score74.2% | Versus best verified row Best verified: Hy4 preview · 74.2% | GapBest verified | WeightDisplay only | Provider exact |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| OfficeQA Pro | Score66.2% | Versus best verified row Best verified: Claude Opus 5 · 66.9% | Gap0.7 behind | WeightWeighted 30% | Provider exact |
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
Hy3 PreviewScore 43.7 · Price not listed
Jul 6, 2026
Hy3Not publicly ranked · Price not listed
Aug 28, 2026 · you are here
Hy4 previewScore 79.2 · Price not listed
preview · Preview
The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.
Hy4 preview ranks #7 of 228 on the public leaderboard with a score of 79.16/100. It does not yet have enough sourced coverage for a verified position.
Hy4 preview is a open weight model with a 1M context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.
Tencent publishes the BF16 Hy4 preview checkpoint and a separate FP8 quantization under Apache 2.0. The official deployment recipes use the self-hosted hy4-preview model ID with vLLM or SGLang; no first-party hosted token rate is published for this exact checkpoint.
Its explicit predecessor is Hy3. 28 of 406 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Its strongest eligible category is Agentic at #9, while its lowest eligible position is Coding at #11. particularly useful for coding agents, browser research, and computer-use workflows.
Tencent · Model release
Radar confirmed these at the source. Start the free Radar Brief
Hy4 preview ranks #7 out of 228 models on the public BenchAlign leaderboard, with a score of 79.16/100. Its evidence status is Estimated, and this profile shows 28 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.
Hy4 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.
Hy4 preview ranks #11 out of 146 eligible models for coding and programming, with a public category score of 68.9/100. 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.
Hy4 preview has source-displayable benchmark coverage for mathematics, 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.
Hy4 preview has source-displayable benchmark coverage for reasoning and logic, 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.
Hy4 preview ranks #9 out of 140 eligible models for agentic tool use and computer tasks, with a public category score of 70/100. That places it in the current top ten for this category. Check the underlying rows before treating the aggregate as a workload guarantee.
Hy4 preview has source-displayable benchmark coverage for multimodal and grounded tasks, 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.
Hy4 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.
No. Hy4 preview currently has 29 source-displayable rows across 406 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.
Hy4 preview has a documented context window of 1M. That figure is the maximum combined prompt and retained-conversation space reported for this exact model; it is not the maximum output length. The profile keeps output limits separate because providers often publish those limits independently.
Related resources
Last updated August 28, 2026. Runtime fields remain blank until a sourced snapshot exists.
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