Data as of November 4, 2026 · How the score is built
Hy4
Decision readingHy4 is tracked, but not publicly ranked yet. The profile exposes 15 sourced benchmark rows and leaves unsupported fields blank until a published record exists.
Released Nov 4, 2026 — see all recent releases
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
Unranked
field median 50.5Not eligible for a public rank
Price
$0.83input / $2.50 output
input median $0.75cached $0.042 · blended $1.67
Speed
Not measured
field median 92 tok/sTime to first token not measured
Context
1Mtokens
field median 256,000Maximum output length is tracked separately
Strongest published evidence
Published rows are visible, but no category has enough eligible evidence for a comparative rank.
Validate before choosing
15 published rows leave some tracked benchmark slots empty. Independent runtime speed has not been measured.
Source-linked · 15 displayable benchmark rows
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 | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticRank Not rankedWeight 22%7 benchmarksVerified | 80.4 | 7 benchmarks | Verified | |||
| CodingWeight 20%5 benchmarksVerified | Score pending | 5 benchmarks | Verified | |||
| ReasoningWeight 17%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| MultimodalRank Not rankedWeight 12%2 benchmarksVerified | 78.8 | 2 benchmarks | Verified | |||
| KnowledgeRank Not rankedWeight 12%1 benchmarkVerified | 83.4 | 1 benchmark | Verified | |||
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| Inst. FollowingWeight 5%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| MathWeight 5%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured |
15 of 797 tracked benchmark slots have displayable evidence · bars run 0–100
Coverage detailsHow 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.
- Agentic7/7 verified
- Coding5/5 verified
- ReasoningNot measured
- Multimodal2/2 verified
- Knowledge1/1 verified
- MultilingualNot measured
- Inst. FollowingNot measured
- MathNot 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.
Coding5 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| DeepSWE | Score74.9% | Versus best verified row Best verified: Muse Wonder Full · 79.0% | Gap4.1 behind | WeightDisplay only | Provider exact |
| sweMarathon | Score43.8% | Versus best verified row Best verified: Step 5 Preview · 72.7% | Gap28.9 behind | WeightDisplay only | Provider exact |
| ProgramBenchProgramBench: Can Language Models Rebuild Programs From Scratch? | Score30.0% | Versus best verified row Best verified: Claude Opus 5 · 93.0% | Gap63 behind | WeightDisplay only | Provider exact |
| FrontierCode 2.0 | Score31.0% | Versus best verified row Best verified: Claude Opus 5.5 · 45.5% | Gap14.5 behind | WeightDisplay only | Provider exact |
| PostTrainBench v1.2 | Score35.2% | Versus best verified row Best verified: Kimi K3.1 Pro · 36.5% | Gap1.3 behind | WeightDisplay only | Provider exact |
Agentic7 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| Terminal-Bench 4.0 | Score44.40% | Versus best verified row Best verified: Claude Sonnet 5.5 · 70.60% | Gap26.2 behind | WeightDisplay only | Provider exact |
| AutomationBench | Score56.2% | Versus best verified row Best verified: MiniMax M3.1 Flash · 62.2% | Gap6 behind | WeightDisplay only | Provider exact |
| HLE w/ toolsHumanity's Last Exam with tools | Score59.1% | Versus best verified row Best verified: Kimi K3.1 Pro · 70.0% | Gap10.9 behind | WeightDisplay only | Provider exact |
| Agents' Last Exam | Score41.0% | Versus best verified row Best verified: GPT-6.1 Terra · 60.0% | Gap19 behind | WeightDisplay only | Provider exact |
| Terminal-Bench-Science 0.1 | Score19.8% | Versus best verified row Best verified: GPT-6 Astra · 64.6% | Gap44.8 behind | WeightDisplay only | Provider exact |
| APEX-Agents | Score75.2% | Versus best verified row Best verified: Hy4 · 75.2% | GapBest verified | WeightDisplay only | Provider exact |
| OSWorld 2.1OSWorld 2.1 (all 108 tasks) | Score78.9% | Versus best verified row Best verified: Claude Opus 5.5 · 81.8% | Gap2.9 behind | WeightDisplay only | Provider exact |
Multimodal2 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| MMMU-ProMassive Multi-discipline Multimodal Understanding Pro | Score78.6% | Versus best verified row Best verified: GPT-6.1 Terra · 85.5% | Gap6.9 behind | WeightDisplay only | Provider exact |
| ZeroBench w/ PythonZeroBench_main with Python | Score55.4% | Versus best verified row Best verified: Kimi K3.1 Pro · 63.0% | Gap7.6 behind | WeightDisplay only | Provider exact |
Knowledge1 row
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| HLEHumanity's Last Exam | Score59.1% | Versus best verified row Best verified: Kimi K3.1 Pro · 70% | Gap10.9 behind | WeightDisplay only | Provider exact |
Bars run 0–100; the dark tick marks the best source-verified value
All 15 rowsLineage
The sequence follows explicit supersedes links. Each score is estimated for that model; a relative can inform a sparse estimate but never sets a floor, so a newer release can score below an earlier one. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
Base entry
Hy4 preview · 61.5Spec 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
- tencent/hy4Tencent Cloud TokenHub model pricing
- Context window
- 1MTencent Cloud TokenHub model pricing
- 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
- Tencent serves Hy4 through Tencent Cloud TokenHub and OpenRouter (tencent/hy4) and in CodeBuddy, WorkBuddy, Yuanbao, and ima. Tencent says it plans to open-source the weights with vLLM and SGLang support and a system card, but no checkpoint is public yet, so source type stays pending.
- Cloud regions
- Not tracked yet
- Lifecycle
- Current
- API capabilities
- Tool calling, structured outputs, and batch support are not tracked yet
- Prompt caching
- Published at $0.042 per million cached input tokensTencent Cloud TokenHub model pricing
- Self-host
- Weight availability is pending
- Rate limits
- Not tracked yet
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.
We track Hy4, but the public leaderboard excludes this profile until enough non-generated benchmark coverage is available. Only published rows appear above.
Hy4 has no verified publication yet for weight access. Its 1M context window is documented separately from that pending weight status. The profile records its reasoning mode as reasoning.
Tencent serves Hy4 through Tencent Cloud TokenHub and OpenRouter (tencent/hy4) and in CodeBuddy, WorkBuddy, Yuanbao, and ima. Tencent says it plans to open-source the weights with vLLM and SGLang support and a system card, but no checkpoint is public yet, so source type stays pending.
Official exact-value snapshot from Tencent's November 4, 2026 Hy4 launch post and its benchmark appendix, at the highest available reasoning setting. Hy4 scales pre-training and post-training over Hy4 preview and adds image input and computer use for the first time. We map DeepSWE v1.1, SWE-Marathon v1.1, ProgramBench (almost solved), Terminal-Bench 4.0, FrontierCode 2.0, APEX-Agents v1.1, Agents' Last Exam v1.1, AutomationBench v1.0.6 (600 public tasks), HLE with tools, Terminal-Bench-Science 0.1, PostTrainBench v1.2, OSWorld 2.1 (full set, partial score), MMMU-Pro, and ZeroBench main with tools (pass@5) onto existing lanes. Tencent's internal rows (Hy-CompanyBench 2.0, Hy-SWE Max Verified 2.0, Hy-Backend 3.0, WebCraftBench, GameFix Bench 2.0, 3DArena-Modeling, Goal2Repo, AutoCatBench, Hy-LifeSearch, Hy-BrowseComp 2.0, E-Bench 2.0, Agents' First Exam-IF, Tag-bench, PPTGen-Bench, Hy-FrontierMath T5, ProofBench, Foundation Model Bench, TenureTrail, BuddyVQA Atlas) and partner evaluations (IRAB 61.63, Caidazi single-stock research 4.27/5) stay in this note. Tencent notes that some Hy4 preview figures in the new appendix differ from its August report because the harness, judge model, and anti-hacking checks changed; the Hy4 preview row keeps its originally published values. OpenRouter lists a 1,048,576-token context window and text plus image input.
Hy4 sits in the Hy4 family with Hy4 preview. Its explicit predecessor is Hy4 preview. 15 of 797 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Last updated November 4, 2026. Runtime fields remain blank until a sourced snapshot exists.
Questions
How does Hy4 perform overall in AI benchmarks?
Hy4 has 15 source-displayable benchmark rows, but it does not qualify for a public overall rank. The available rows remain visible by category without being converted into a site-wide score. Missing evidence stays blank instead of being estimated from an earlier model.
Is Hy4 good for knowledge and understanding?
Hy4 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 Hy4 good for coding and programming?
Hy4 has source-displayable benchmark coverage for coding and programming, 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 Hy4 good for agentic tool use and computer tasks?
Hy4 has source-displayable benchmark coverage for agentic tool use and computer 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.
Is Hy4 good for multimodal and grounded tasks?
Hy4 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.
Which sibling models are related to Hy4?
Hy4 belongs to the Hy4 family. Related tracked variants include Hy4 preview. 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 Hy4 have full benchmark coverage on BenchLM?
No. Hy4 currently has 15 source-displayable rows. 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 Hy4?
Hy4 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.