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Prompts that approach the documented context limit
Kimi K3
Kimi K3 has the larger documented context window.
Confidence: documented
Hy3 Preview vs Kimi K3
Updated October 2, 2026. Rank says Kimi K3 is ahead. Price, access, and your workload can each overturn that. 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
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Decision reading
Kimi K3 has the higher public point estimate, 72.14 versus 51.39. Their conditional score ranges do not overlap. These ranges do not establish rank confidence. 2 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.
- Shared results
- 2
- Hy3 Preview only
- 4
- Kimi K3 only
- 46
- Like-for-like categories
- 0 / 8
Estimated: Hy3 Preview · Supported: Kimi K3. 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
Hy3 Preview is scored on Estimated evidence for coding, so the reading is directional rather than like-for-like.
Confidence: limitedAgentic work
Tool use, computer use, and multi-step task completion
Not enough matched evidence
Hy3 Preview 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
A complete comparable API-rate estimate is not available for both models.
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.
30.9Hy3 Preview61.4Kimi K3
Directional only · BenchAlign v5.8
Kimi K3 has the higher coding point estimate. Conditional score ranges do not establish rank confidence.
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.
4 Hy3 Preview only
2 Shared
46 Kimi K3 only
2 categories rest on Estimated evidence or different evidence sets. Those rows remain visible for coverage context but do not name a winner.
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.
Too few matched category axes support a radar. The ruled list below shows only shared benchmark results; positions use each benchmark’s normalized display scale when available.
GPQAKnowledge
Normalized gap 6.3Hy3 Preview:87.2%Kimi K3:93.5%
Bars run 0–100 on each benchmark’s normalized display scale
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.
Coding
Directional only- Hy3 Preview
- 30.9
- Estimated · #93/144
- Kimi K3
- 61.4
- Supported · #18/144
- Basis
- BenchAlign v5.8 lane · 2 vs 14 public rows
- Reading
- Directional only
Knowledge
Directional only- Hy3 Preview
- 41.6
- Estimated · #97/171
- Kimi K3
- 67.9
- Supported · #18/171
- Basis
- BenchAlign v5.8 lane · 2 vs 6 public rows
- Reading
- Directional only
Agentic
Not comparable- Hy3 Preview
- Not ranked
- Kimi K3
- 68.1
- Supported · #8/119
- Basis
- BenchAlign v5.8 lane · 2 vs 12 public rows
- Reading
- Not comparable
Reasoning
Not comparable- Hy3 Preview
- Not ranked
- Kimi K3
- 65.8
- #18/27
- Basis
- Provisional lane · 0 vs 1 weighted rows
- Reading
- Not comparable
Multimodal
Not comparable- Hy3 Preview
- Not ranked
- Kimi K3
- 89.4
- #1/49
- Basis
- Provisional lane · 0 vs 3 weighted rows
- Reading
- Not comparable
Multilingual
Not comparable- Hy3 Preview
- Not ranked
- Kimi K3
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Instruction following
Not comparable- Hy3 Preview
- 46.1
- #89/125
- Kimi K3
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Math
Not comparable- Hy3 Preview
- Not ranked
- Kimi K3
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
| Category | Hy3 Preview | Kimi K3 | Basis | Reading |
|---|---|---|---|---|
| Coding | 30.9Estimated · #93/144 | 61.4Supported · #18/144 | Directional onlyBenchAlign v5.8 lane · 2 vs 14 public rows | Directional only |
| Knowledge | 41.6Estimated · #97/171 | 67.9Supported · #18/171 | Directional onlyBenchAlign v5.8 lane · 2 vs 6 public rows | Directional only |
| Agentic | Not ranked | 68.1Supported · #8/119 | Not comparableBenchAlign v5.8 lane · 2 vs 12 public rows | Not comparable |
| Reasoning | Not ranked | 65.8#18/27 | Not comparableProvisional lane · 0 vs 1 weighted rows | Not comparable |
| Multimodal | Not ranked | 89.4#1/49 | Not comparableProvisional lane · 0 vs 3 weighted rows | Not comparable |
| Multilingual | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Instruction following | 46.1#89/125 | 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
- Hy3 Preview
- Self-hosted; infrastructure cost varies
- Fits in one request
- Kimi K3
- $0.0105
- Fits in one request
Hy3 Preview has no comparable published API token rate.
Repository review
50K fresh input + 3K output tokens
- Hy3 Preview
- Self-hosted; infrastructure cost varies
- Fits in one request
- Kimi K3
- $0.195
- Fits in one request
Hy3 Preview has no comparable published API token rate.
Cache-heavy agent loop
200K cached + 20K fresh input + 10K output tokens
- Hy3 Preview
- Self-hosted; infrastructure cost varies
- Fits in one request
- Cached-input rate unavailable
- Kimi K3
- $0.27
- Fits in one request
Hy3 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.
SpecificationHy3 PreviewKimi K3
Context window
Maximum documented context; output-token limits may be lower.
Hy3 Preview
256K
Kimi K3
1.05M
API model ID
Hy3 Preview
Not sourced
Kimi K3
Not sourced
Cached-input rate
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Hy3 Preview
No comparable hosted API rate
Kimi K3
$0.3 per 1M cached input tokens
Documented inputs
Hy3 Preview
Not sourced
Kimi K3
Not sourced
Documented outputs
Hy3 Preview
Not sourced
Kimi K3
Not sourced
Provider availability
Hy3 Preview
Not sourced
Kimi K3
Not sourced
Reasoning profile
Hy3 Preview
Reasoning
Kimi K3
Reasoning
Weight access
Hy3 Preview
Open Weight
Kimi K3
Pending
License
Hy3 Preview
Open Weight
Kimi K3
Pending
Release date
Hy3 Preview
2026-04-23
Kimi K3
2026-07-16
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
- Kimi K3 has the higher public point estimate, 72.14 versus 51.39. Their conditional score ranges do not overlap. These ranges do not establish rank confidence.
- Workload cost
- A complete comparable API-rate estimate is not available for both models.
- Context tradeoff
- Kimi K3 has the larger documented window (1.05M).
Run the same representative tasks against both endpoints before changing production traffic.
Questions
Which is better, Hy3 Preview or Kimi K3?
Kimi K3 has the higher public point estimate, 72.14 versus 51.39. Their conditional score ranges do not overlap. These ranges do not establish rank confidence. The page therefore keeps the decision tied to the specific documented workload.
Which is better for coding, Hy3 Preview or Kimi K3?
Kimi K3 scores higher for coding on the public lane, 61.4 to 30.9. Hy3 Preview is scored on Estimated evidence for coding, so the reading is directional rather than like-for-like. BenchLM does not name a winner for coding from a directional reading; read the shared benchmark rows directly and test the models on the same task set.
Which is better for agentic tasks, Hy3 Preview or Kimi K3?
Hy3 Preview is not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.
Which costs less, Hy3 Preview or Kimi K3?
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, Hy3 Preview or Kimi K3?
Kimi K3 has the larger documented context window: 1.05M, compared with 256K.
Benchmark evidence
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Browse raw public benchmark evidence52 rows
Agentic
Terminal-Bench 2.0
Hy3 Preview54.4%SourceKimi K3—Not directly comparable
Gert Labs
Hy3 Preview36.91%SourceKimi K3—Not directly comparable
Terminal-Bench 2.1
Hy3 Preview—Kimi K388.3%SourceNot directly comparable
BrowseComp
Hy3 Preview—Kimi K391.2%SourceNot directly comparable
DeepSearchQA
Hy3 Preview—Kimi K395.0%SourceNot directly comparable
Toolathlon-Verified
Hy3 Preview—Kimi K373.2%SourceNot directly comparable
MCP Atlas
Hy3 Preview—Kimi K384.2%SourceNot directly comparable
AutomationBench
Hy3 Preview—Kimi K330.8%SourceNot directly comparable
JobBench
Hy3 Preview—Kimi K352.9%SourceNot directly comparable
APEX-Agents
Hy3 Preview—Kimi K337.6%SourceNot directly comparable
SpreadsheetBench 2
Hy3 Preview—Kimi K334.8%SourceNot directly comparable
DECK-Bench
Hy3 Preview—Kimi K373.5%SourceNot directly comparable
Terminal-Bench 2.1 (Vals)
Hy3 Preview—Kimi K380.9%SourceNot directly comparable
ApprenticeBench
Hy3 Preview—Kimi K318%SourceNot directly comparable
Coding
SWE-bench Verified
Hy3 Preview74.4%SourceKimi K3—Not directly comparable
Terminal-Bench 2.0
Hy3 Preview54.4%SourceKimi K3—Not directly comparable
DeepSWE
Hy3 Preview—Kimi K367.5%SourceNot directly comparable
CursorBench 3.2
Hy3 Preview—Kimi K360.8%SourceNot directly comparable
FrontierSWE
Hy3 Preview—Kimi K381.2%SourceNot directly comparable
ProgramBench
Hy3 Preview—Kimi K377.8%SourceNot directly comparable
Kimi Code Bench v2
Hy3 Preview—Kimi K372.9%SourceNot directly comparable
sweMarathon
Hy3 Preview—Kimi K342%SourceNot directly comparable
PostTrain Bench
Hy3 Preview—Kimi K336.6%SourceNot directly comparable
MLS-Bench Lite
Hy3 Preview—Kimi K348.3%SourceNot directly comparable
VulcanBench v3
Hy3 Preview—Kimi K373.7%SourceNot directly comparable
OpenHarmony Bench
Hy3 Preview—Kimi K357.3%SourceNot directly comparable
FrontierSWE v2
Hy3 Preview—Kimi K325.9%SourceNot directly comparable
LiveCodeBench (Vals)
Hy3 Preview—Kimi K387.2%SourceNot directly comparable
SWE-bench (Vals)
Hy3 Preview—Kimi K393.4%SourceNot directly comparable
PostTrainBench v1.1
Hy3 Preview—Kimi K332.0%SourceNot directly comparable
Reasoning
Multimodal
OfficeQA Pro
Hy3 Preview—Kimi K363.3%SourceNot directly comparable
MMMU-Pro
Hy3 Preview—Kimi K381.6%SourceNot directly comparable
MMMU-Pro w/ Python
Hy3 Preview—Kimi K383.4%SourceNot directly comparable
CharXiv w/o tools
Hy3 Preview—Kimi K384.8%SourceNot directly comparable
CharXiv
Hy3 Preview—Kimi K391.3%SourceNot directly comparable
MathVision
Hy3 Preview—Kimi K394.3%SourceNot directly comparable
MathVision w/ Python
Hy3 Preview—Kimi K397.8%SourceNot directly comparable
BabyVision w/ Python
Hy3 Preview—Kimi K385.7%SourceNot directly comparable
ZeroBench
Hy3 Preview—Kimi K323.0%SourceNot directly comparable
ZeroBench w/ Python
Hy3 Preview—Kimi K341.0%SourceNot directly comparable
WorldVQA ForceAnswer
Hy3 Preview—Kimi K351.0%SourceNot directly comparable
OmniDocBench
Hy3 Preview—Kimi K391.1%SourceNot directly comparable
PerceptionBench
Hy3 Preview—Kimi K358.5%SourceNot directly comparable
Knowledge
GPQA
Hy3 Preview87.2%SourceKimi K393.5%SourceKimi K3 leads this result
GPQA-D
Hy3 Preview87.2%SourceKimi K393.5%SourceKimi K3 leads this result
HLE
Hy3 Preview—Kimi K356%SourceNot directly comparable
HLE w/o tools
Hy3 Preview—Kimi K343.5%SourceNot directly comparable
GPQA Diamond (Vals)
Hy3 Preview—Kimi K392.9%SourceNot directly comparable
MMLU-Pro (Vals)
Hy3 Preview—Kimi K388.0%SourceNot directly comparable
Instruction following
Gray Swan IPI (15 attempts)
Hy3 Preview—Kimi K352.7%SourceNot directly comparable
52 public results · 2 shared
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Last updated October 2, 2026