Long documents
Prompts that approach the documented context limit
Hy4 preview
Hy4 preview has the larger documented context window.
Confidence: documented
1-bit Bonsai 8B vs Hy4 preview
Updated October 13, 2026. We do not rank this pair: at least one has no public score. Public scores include evidence status and uncertainty.
Both of these models will change. Get the price, version and retirement notices for the pair, each with its source. Follow model changes
Share or export
Decision reading
The public evidence has no benchmark result shared by both models, so it does not support a quality verdict. Use the documented cost, context, and runtime rows instead. 0 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.
- Shared results
- 0
- 1-bit Bonsai 8B only
- 2
- Hy4 preview only
- 30
- Like-for-like categories
- 0 / 8
Estimated: Hy4 preview. Conditional ranges do not establish rank confidence.How the comparison works
Which one for your work
Recommendations appear only when a shared evidence basis or an explicit operating constraint supports the call. Secondary and unsupported use cases stay disclosed below the initial list.
Show secondary and unsupported calls
Coding work
Code generation, repair, and software-engineering tasks
Not enough matched evidence
1-bit Bonsai 8B is not ranked on the public lane for coding, so no winner is named for coding.
Confidence: limitedAgentic work
Tool use, computer use, and multi-step task completion
Not enough matched evidence
1-bit Bonsai 8B is not ranked on the public lane for agentic, so no winner is named for agentic.
Confidence: limitedChat turn cost
1K fresh input + 500 output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
Confidence: listed-ratesCache-heavy agent loop cost
200K cached + 20K fresh input + 10K output tokens
Not enough matched evidence
The page does not recommend a cost winner because at least one model cannot fit the stated workload in one request. 1-bit Bonsai 8B does not fit this workload in one request. 1-bit Bonsai 8B has no comparable published API token rate. Hy4 preview has no comparable published API token rate.
Confidence: listed-ratesRepository review cost
50K fresh input + 3K output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
Confidence: listed-rates
Which one for a specific job
Choose a job from the LLM Selector's task catalog to see the category row it rests on, under the same basis rules as the table below. A directional row stays directional; choosing a job never creates a winner.
The same task catalog as the LLM Selector. Each job names the evidence surface it rests on; nothing here adds a new score.
—1-bit Bonsai 8B57.1Hy4 preview
Not comparable · BenchAlign v5.8
The coding row is not comparable on the public lane: at least one model is not measured or not ranked there.
Coding scores combine specific tasks and setups. Match the editor, harness, and effort to your workflow.
Same basis rules as the category table below
What is actually comparable
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
2 1-bit Bonsai 8B only
30 Hy4 preview only
Shape of the matched evidence
Only shared public evidence is shown. Sparse evidence stays a ruled list rather than being closed into a radar shape.
A shared-evidence shape is not available.
BenchLM does not draw a radar or infer missing axes when the matched evidence is too sparse.
Category results, on a stated basis
Each row shows the public-lane category score for both models: the BenchAlign v5.8 lane for agentic, coding, and knowledge, and the weighted public rows elsewhere, with the same rank each model page reports. A row is like-for-like only when both scores rest on Supported evidence or the same weighted set. Directional and not-comparable rows remain visible, but they never receive a winner.
Agentic
Not comparable- 1-bit Bonsai 8B
- Not ranked
- Hy4 preview
- 54.5
- Estimated · #37/123
- Basis
- BenchAlign v5.8 lane · 0 vs 15 public rows
- Reading
- Not comparable
Coding
Not comparable- 1-bit Bonsai 8B
- Not ranked
- Hy4 preview
- 57.1
- Supported · #26/148
- Basis
- BenchAlign v5.8 lane · 0 vs 8 public rows
- Reading
- Not comparable
Reasoning
Not comparable- 1-bit Bonsai 8B
- Not ranked
- Hy4 preview
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Multimodal
Not comparable- 1-bit Bonsai 8B
- Not ranked
- Hy4 preview
- 88.3
- Unranked · 1 rankable row
- Basis
- Provisional lane · 0 vs 1 weighted rows
- Reading
- Not comparable
Knowledge
Not comparable- 1-bit Bonsai 8B
- Not ranked
- Hy4 preview
- 63.6
- Estimated · #39/180
- Basis
- BenchAlign v5.8 lane · 0 vs 4 public rows
- Reading
- Not comparable
Multilingual
Not comparable- 1-bit Bonsai 8B
- Not ranked
- Hy4 preview
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Instruction following
Not comparable- 1-bit Bonsai 8B
- Not ranked
- Hy4 preview
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Math
Not comparable- 1-bit Bonsai 8B
- Not ranked
- Hy4 preview
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
| Category | 1-bit Bonsai 8B | Hy4 preview | Basis | Reading |
|---|---|---|---|---|
| Agentic | Not ranked | 54.5Estimated · #37/123 | Not comparableBenchAlign v5.8 lane · 0 vs 15 public rows | Not comparable |
| Coding | Not ranked | 57.1Supported · #26/148 | Not comparableBenchAlign v5.8 lane · 0 vs 8 public rows | Not comparable |
| Reasoning | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Multimodal | Not ranked | 88.3Unranked · 1 rankable row | Not comparableProvisional lane · 0 vs 1 weighted rows | Not comparable |
| Knowledge | Not ranked | 63.6Estimated · #39/180 | Not comparableBenchAlign v5.8 lane · 0 vs 4 public rows | Not comparable |
| Multilingual | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Instruction following | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Math | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign v5.8) differ from the provisional-lane categories. Unranked scores sit on the provisional lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.
Supported evidence per lane · bars run 0–100Methodology
What each workload costs
Three fixed token mixes turn per-token rates into comparable decisions. Each scenario states context fit and whether cached input had to fall back to the published list-input rate.
Chat turn
1K fresh input + 500 output tokens
- 1-bit Bonsai 8B
- Self-hosted; infrastructure cost varies
- Fits in one request
- Hy4 preview
- Self-hosted; infrastructure cost varies
- Fits in one request
1-bit Bonsai 8B has no comparable published API token rate. Hy4 preview has no comparable published API token rate.
Repository review
50K fresh input + 3K output tokens
- 1-bit Bonsai 8B
- Self-hosted; infrastructure cost varies
- Fits in one request
- Hy4 preview
- Self-hosted; infrastructure cost varies
- Fits in one request
1-bit Bonsai 8B has no comparable published API token rate. Hy4 preview has no comparable published API token rate.
Cache-heavy agent loop
200K cached + 20K fresh input + 10K output tokens
- 1-bit Bonsai 8B
- Self-hosted; infrastructure cost varies
- Does not fit in one request
- Cached-input rate unavailable
- Hy4 preview
- Self-hosted; infrastructure cost varies
- Fits in one request
- Cached-input rate unavailable
1-bit Bonsai 8B does not fit this workload in one request. 1-bit Bonsai 8B has no comparable published API token rate. Hy4 preview has no comparable published API token rate.
Cached input falls back to the list input rate only where a cached rate is unpublished
Specification differences
Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.
Specification1-bit Bonsai 8BHy4 preview
Context window
Maximum documented context; output-token limits may be lower.
1-bit Bonsai 8B
64K
Hy4 preview
API model ID
1-bit Bonsai 8B
Not sourced
Hy4 preview
tencent/Hy4-preview
Tencent Hy4 preview model cardCached-input rate
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
1-bit Bonsai 8B
No comparable hosted API rate
Hy4 preview
No comparable hosted API rate
Tencent Hy4 preview model cardDocumented inputs
1-bit Bonsai 8B
Not sourced
Hy4 preview
Not sourced
Documented outputs
1-bit Bonsai 8B
Not sourced
Hy4 preview
Not sourced
Provider availability
1-bit Bonsai 8B
Not sourced
Hy4 preview
Not sourced
Reasoning profile
1-bit Bonsai 8B
Non-Reasoning
Hy4 preview
Reasoning
Weight access
1-bit Bonsai 8B
Open Weight
Hy4 preview
Open Weight
License
1-bit Bonsai 8B
Open Weight
Hy4 preview
Open Weight
Release date
1-bit Bonsai 8B
2026-03-31
Hy4 preview
2026-08-28
If you already use one of these models
- Deployment change
- The models list different providers, so authentication, endpoint behavior, limits, and feature support may change.
- Quality signal
- The public evidence has no benchmark result shared by both models, so it does not support a quality verdict.
- Workload cost
- A complete comparable API-rate estimate is not available for both models.
- Context tradeoff
- Hy4 preview has the larger documented window (1M).
Run the same representative tasks against both endpoints before changing production traffic.
Questions
Which is better, 1-bit Bonsai 8B or Hy4 preview?
The public evidence has no benchmark result shared by both models, so it does not support a quality verdict. The page therefore keeps the decision tied to the specific documented workload.
Which is better for coding, 1-bit Bonsai 8B or Hy4 preview?
1-bit Bonsai 8B is not ranked on the public lane for coding, so no winner is named for coding.
Which is better for agentic tasks, 1-bit Bonsai 8B or Hy4 preview?
1-bit Bonsai 8B is not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.
Which costs less, 1-bit Bonsai 8B or Hy4 preview?
Both models do not have comparable published API token rates, so this page does not name a universal price winner.
Which has the larger context window, 1-bit Bonsai 8B or Hy4 preview?
Hy4 preview has the larger documented context window: 1M, compared with 64K.
Benchmark evidence
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Browse raw public benchmark evidence32 rows
Agentic
Terminal-Bench 2.1
1-bit Bonsai 8B—Hy4 preview85.4%SourceNot directly comparable
CyberGym
1-bit Bonsai 8B—Hy4 preview78.4%SourceNot directly comparable
WideResearch
1-bit Bonsai 8B—Hy4 preview83.9%SourceNot directly comparable
DRACO
1-bit Bonsai 8B—Hy4 preview77.2%SourceNot directly comparable
MCP Atlas
1-bit Bonsai 8B—Hy4 preview83.7%SourceNot directly comparable
Toolathlon-Verified
1-bit Bonsai 8B—Hy4 preview74.1%SourceNot directly comparable
APEX-Agents
1-bit Bonsai 8B—Hy4 preview37.1%SourceNot directly comparable
skillsBench
1-bit Bonsai 8B—Hy4 preview62.9%SourceNot directly comparable
JobBench
1-bit Bonsai 8B—Hy4 preview61.7%SourceNot directly comparable
Agents' Last Exam
1-bit Bonsai 8B—Hy4 preview22.8%SourceNot directly comparable
AutomationBench
1-bit Bonsai 8B—Hy4 preview32.1%SourceNot directly comparable
BankerToolBench
1-bit Bonsai 8B—Hy4 preview78.6%SourceNot directly comparable
HLE w/ tools
1-bit Bonsai 8B—Hy4 preview55.4%SourceNot directly comparable
Terminal-Bench 2.1 (Vals)
1-bit Bonsai 8B—Hy4 preview55.1%SourceNot directly comparable
CWE-bench v1
1-bit Bonsai 8B—Hy4 preview53.0%SourceNot directly comparable
Coding
Terminal-Bench 2.1
1-bit Bonsai 8B—Hy4 preview85.4%SourceNot directly comparable
SWE-bench Pro
1-bit Bonsai 8B—Hy4 preview65.7%SourceNot directly comparable
SWE Multilingual
1-bit Bonsai 8B—Hy4 preview82.9%SourceNot directly comparable
DeepSWE
1-bit Bonsai 8B—Hy4 preview64.3%SourceNot directly comparable
NL2Repo
1-bit Bonsai 8B—Hy4 preview58.9%SourceNot directly comparable
ProgramBench
1-bit Bonsai 8B—Hy4 preview17.5%SourceNot directly comparable
PostTrain Bench
1-bit Bonsai 8B—Hy4 preview35.6%SourceNot directly comparable
sweMarathon
1-bit Bonsai 8B—Hy4 preview31.9%SourceNot directly comparable
Reasoning
Multimodal
OfficeQA Pro
1-bit Bonsai 8B—Hy4 preview66.2%SourceNot directly comparable
Knowledge
Instruction following
IFEval
1-bit Bonsai 8B79.8%SourceHy4 preview—Not directly comparable
Math
Apex
1-bit Bonsai 8B—Hy4 preview74.2%SourceNot directly comparable
32 public results · 0 shared
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Last updated October 13, 2026