Moonshot AI · Model release
Data as of October 2, 2026 · How the score is built
Released Jul 16, 20261.05M context
Kimi K3
Decision readingKimi K3 scores 72.1 out of 100 and ranks #15 of 212. This profile shows 52 source-displayable benchmark rows; its strongest eligible category is Multimodal & Grounded at #1. API pricing is $3 input and $15 output per million tokens, with cached input at $0.3.
Released Jul 16, 2026 — see all recent releases
Kimi K3 will be repriced, updated or retired. Get each notice with its source and date. Follow model changes
Share or export
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
72.1/100
field median 52.2#15 of 212 ranked models
Public
#15of 212
Verified #8 of 74
Price
$3input / $15 output
input median $0.95cached $0.30 · blended $9
Speed
34tok/s
field median 89 tok/sFirst token 63.81 s
Context
1.05Mtokens
field median 256,000Reported for this model; direct source link not stored
Strongest published evidence
Multimodal & Grounded ranks #1. Particularly strong for screenshots, documents, charts, and grounded multimodal workflows.
Validate before choosing
52 published rows leave some tracked benchmark slots empty. Knowledge is its lowest eligible category at #18.
Source-linked · 52 displayable benchmark rows
Follow model changesCategory 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 #8 of 119Percentile 94thWeight 22%12 benchmarksVerified | 68.1 | 12 benchmarks | Verified | |||
| CodingRank #18 of 144Percentile 88thWeight 20%14 benchmarksVerified | 61.4 | 14 benchmarks | Verified | |||
| ReasoningRank #18 of 27Percentile 35thWeight 17%2 benchmarksVerified | 65.8 | 2 benchmarks | Verified | |||
| MultimodalRank #1 of 49Percentile 100thWeight 12%13 benchmarksVerified | 89.4 | 13 benchmarks | Verified | |||
| KnowledgeRank #18 of 171Percentile 90thWeight 12%6 benchmarksVerified | 67.9 | 6 benchmarks | Verified | |||
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| Inst. FollowingWeight 5%1 benchmarkVerified | Score pending | 1 benchmark | Verified | |||
| MathWeight 5%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured |
52 of 645 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.
- Agentic12/12 verified
- Coding14/14 verified
- Reasoning2/2 verified
- Multimodal13/13 verified
- Knowledge6/6 verified
- MultilingualNot measured
- Inst. Following1/1 verified
- MathNot measured
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.
Kimi K3 category percentile values
- Agentic94th percentile
- Coding88th percentile
- Reasoning35th percentile
- Multimodal100th percentile
- Knowledge90th percentile
- MultilingualNot eligible
- Instruction followingNot eligible
- MathNot eligible
The dashed outline is median of 6 nearest peers.
Eligible category ranks
- Agentic#8/119
- Coding#18/144
- Reasoning#18/27
- Multimodal#1/49
- Knowledge#18/171
- MultilingualNot ranked
- Inst. FollowingNot ranked
- MathNot ranked
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.
Coding14 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| FrontierSWE v2 | Score25.9% | Versus best verified row Best verified: GPT-6 Astra · 65.5% | Gap39.6 behind | Weight8% ref. weight | Benchmark exact |
| LiveCodeBench (Vals)LiveCodeBench, Vals AI run | Score87.2% | Versus best verified row Best verified: Claude Fable 5.1 · 90.5% | Gap3.3 behind | Weight8% ref. weight | |
| VulcanBench v3 | Score73.7% | Versus best verified row Best verified: Grok 4.5 · 89.9% | Gap16.2 behind | Weight3% ref. weight | Benchmark exact |
| DeepSWE | Score67.5% | Versus best verified row Best verified: Gemini 4 Argon · 77.9% | Gap10.4 behind | WeightDisplay only | Provider exact |
| CursorBench 3.2 | Score60.8% | Versus best verified row Best verified: Claude Fable 5.1 · 73.4% | Gap12.6 behind | WeightDisplay only | Benchmark exact |
| FrontierSWE | Score81.2% | Versus best verified row Best verified: Kimi K3 · 81.2% | GapBest verified | WeightDisplay only | Provider exact |
| ProgramBenchProgramBench: Can Language Models Rebuild Programs From Scratch? | Score77.8% | Versus best verified row Best verified: Claude Opus 5 · 93.0% | Gap15.2 behind | WeightDisplay only | Provider exact |
| Kimi Code Bench v2 | Score72.9% | Versus best verified row Best verified: Kimi K3 · 72.9% | GapBest verified | WeightDisplay only | Provider exact |
| sweMarathon | Score42% | Versus best verified row Best verified: Step 5 Preview · 72.7% | Gap30.7 behind | WeightDisplay only | Provider exact |
| PostTrain Bench | Score36.6% | Versus best verified row Best verified: GLM-5.3 · 39.8% | Gap3.2 behind | WeightDisplay only | Provider exact |
| MLS-Bench Lite | Score48.3% | Versus best verified row Best verified: Kimi K3 · 48.3% | GapBest verified | WeightDisplay only | Provider exact |
| OpenHarmony BenchOpenHarmony Bench v1.0 | Score57.3% | Versus best verified row Best verified: Qwen3.8 Max · 60.8% | Gap3.5 behind | WeightDisplay only | Benchmark exact |
| SWE-bench (Vals)SWE-bench, Vals AI run | Score93.4% | Versus best verified row Best verified: Claude Opus 5 · 97.0% | Gap3.6 behind | WeightDisplay only | Verified |
| PostTrainBench v1.1 | Score32.0% | Versus best verified row Best verified: Claude Opus 5.5 · 49.3% | Gap17.3 behind | WeightDisplay only | Benchmark exact |
Agentic12 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| Terminal-Bench 2.1 | Score88.3% | Versus best verified row Best verified: SWE-2 · 92.8% | Gap4.5 behind | Weight8% ref. weight | Provider exact |
| BrowseComp | Score91.2% | Versus best verified row Best verified: Atria Dawn Preview · 92.5% | Gap1.3 behind | Weight8% ref. weight | Provider exact |
| Terminal-Bench 2.1 (Vals)Terminal-Bench 2.1, Vals AI run | Score80.9% | Versus best verified row Best verified: GPT-6 Astra · 87.3% | Gap6.4 behind | Weight3% ref. weight | |
| AutomationBench | Score30.8% | Versus best verified row Best verified: DeepSeek V4.1 Flash · 54.8% | Gap24 behind | WeightDisplay only | Provider exact |
| JobBench | Score52.9% | Versus best verified row Best verified: Muse Spark 1.3 · 64.9% | Gap12 behind | WeightDisplay only | Provider exact |
| MCP Atlas | Score84.2% | Versus best verified row Best verified: Muse Spark 1.1 · 88.1% | Gap3.9 behind | WeightDisplay only | Provider exact |
| Toolathlon-Verified | Score73.2% | Versus best verified row Best verified: Claude Opus 5 · 80.6% | Gap7.4 behind | WeightDisplay only | Provider exact |
| DeepSearchQA | Score95.0% | Versus best verified row Best verified: Atria Dawn Preview · 96.0% | Gap1 behind | WeightDisplay only | Provider exact |
| APEX-Agents | Score37.6% | Versus best verified row Best verified: Grok 4.6 · 57.5% | Gap19.9 behind | WeightDisplay only | Provider exact |
| SpreadsheetBench 2 | Score34.8% | Versus best verified row Best verified: Kimi K3 · 34.8% | GapBest verified | WeightDisplay only | Provider exact |
| DECK-BenchDECK-Bench (Internal) | Score73.5% | Versus best verified row Best verified: Kimi K3 · 73.5% | GapBest verified | WeightDisplay only | Provider exact |
| ApprenticeBenchApprenticeBench: end-to-end computer use, continual learning, and long-horizon agency on a real accounts-payable job | Score18% | Versus best verified row Best verified: Claude Fable 5.1 · 72% | Gap54 behind | WeightDisplay only | Benchmark exact |
Reasoning2 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| ARC-AGI-2Abstraction and Reasoning Corpus for AGI v2 | Score60.4% | Versus best verified row Best verified: GPT-6 Astra · 95% | Gap34.6 behind | WeightWeighted 25% | Benchmark exact |
| ARC-AGI-1ARC-AGI-1 Semi-Private Evaluation | Score94.50% | Versus best verified row Best verified: GPT-6 Astra · 98.50% | Gap4 behind | WeightDisplay only | Benchmark exact |
Multimodal13 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| MMMU-ProMassive Multi-discipline Multimodal Understanding Pro | Score81.6% | Versus best verified row Best verified: Gemini 3.5 Flash · 83.6% | Gap2 behind | WeightWeighted 40% | Provider exact |
| OfficeQA Pro | Score63.3% | Versus best verified row Best verified: Claude Opus 5.5 · 67.7% | Gap4.4 behind | WeightWeighted 25% | Provider exact |
| CharXivCharXiv Reasoning | Score91.3% | Versus best verified row Best verified: Qwen3.8 Max · 93.5% | Gap2.2 behind | WeightWeighted 20% | Provider exact |
| MMMU-Pro w/ PythonMMMU-Pro with Python | Score83.4% | Versus best verified row Best verified: GPT-5.6 Sol · 84.6% | Gap1.2 behind | WeightDisplay only | Provider exact |
| CharXiv w/o toolsCharXiv Reasoning without tools | Score84.8% | Versus best verified row Best verified: Claude Mythos 5 · 88.9% | Gap4.1 behind | WeightDisplay only | Provider exact |
| MathVision | Score94.3% | Versus best verified row Best verified: Qwen3.8 Max · 95.2% | Gap0.9 behind | WeightDisplay only | Provider exact |
| MathVision w/ PythonMathVision with Python | Score97.8% | Versus best verified row Best verified: Kimi K3 · 97.8% | GapBest verified | WeightDisplay only | Provider exact |
| BabyVision w/ PythonBabyVision with Python | Score85.7% | Versus best verified row Best verified: Qwen3.8 Max · 91.3% | Gap5.6 behind | WeightDisplay only | Provider exact |
| ZeroBench | Score23.0% | Versus best verified row Best verified: Muse Spark · 33.0% | Gap10 behind | WeightDisplay only | Provider exact |
| ZeroBench w/ PythonZeroBench_main with Python | Score41.0% | Versus best verified row Best verified: Qwen3.8 Max · 49.0% | Gap8 behind | WeightDisplay only | Provider exact |
| WorldVQA ForceAnswer | Score51.0% | Versus best verified row Best verified: Kimi K3 · 51.0% | GapBest verified | WeightDisplay only | Provider exact |
| OmniDocBench | Score91.1% | Versus best verified row Best verified: Kimi K3 · 91.1% | GapBest verified | WeightDisplay only | Provider exact |
| PerceptionBenchPerceptionBench (Internal) | Score58.5% | Versus best verified row Best verified: Qwen3.8 Max · 63.5% | Gap5 behind | WeightDisplay only | Provider exact |
Knowledge6 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| HLEHumanity's Last Exam | Score56% | Versus best verified row Best verified: Claude Fable 5.1 · 65% | Gap9 behind | Weight44% ref. weight | Provider exact |
| MMLU-Pro (Vals)MMLU-Pro, Vals AI run | Score88.0% | Versus best verified row Best verified: Claude Fable 5.1 · 92.4% | Gap4.4 behind | Weight6% ref. weight | Verified |
| GPQAGraduate-Level Google-Proof Q&A | Score93.5% | Versus best verified row Best verified: GPT-6 Astra · 96% | Gap2.5 behind | Weight3% ref. weight | Provider exact |
| GPQA Diamond (Vals)GPQA Diamond, Vals AI run | Score92.9% | Versus best verified row Best verified: Gemini 3.1 Pro · 95.5% | Gap2.6 behind | Weight2% ref. weight | |
| HLE w/o toolsHumanity's Last Exam without tools | Score43.5% | Versus best verified row Best verified: Claude Opus 5.5 · 64.4% | Gap20.9 behind | WeightDisplay only | Provider exact |
| GPQA-DGPQA Diamond | Score93.5% | Versus best verified row Best verified: GPT-6 Astra · 96.0% | Gap2.5 behind | WeightDisplay only | Provider exact |
Inst. Following1 row
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| Gray Swan IPI (15 attempts)Gray Swan Indirect Prompt Injection, attack success at 15 attempts | Score52.7% | Versus best verified row Best verified: Gemini 4 Argon · 0.7% | Gap52 behind | WeightDisplay only | Provider exact |
External signals4 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| ExploitBenchExploitBench v8-bench | Score32% | Versus best verified row Best verified: GPT-6 Astra · 100% | Gap68 behind | WeightDisplay only | Benchmark exact |
| ACE solvedACE Cyber Range Challenges Solved | Score0% | Versus best verified row Best verified: Kimi K3 · 0% | GapBest verified | WeightDisplay only | Benchmark exact |
| The Last Ones stepsThe Last Ones Average Progress | Score17% | Versus best verified row Best verified: Kimi K3 · 17% | GapBest verified | WeightDisplay only | Benchmark exact |
| The Last Ones completionThe Last Ones Cyber Range Completion Rate | Score10% | Versus best verified row Best verified: GPT-5.6 Sol · 70% | Gap60 behind | WeightDisplay only | Benchmark exact |
What it costs to get this score
Published API price against the public score. The x-axis uses a log scale; the dashed path marks models that are not beaten by a cheaper, higher-scoring option. Price uses average of published input and output rates.
Kimi K3 · 72.1 score · $9 blended per million tokens
The chart opens on the current model. Scroll horizontally to inspect the full price axis.
Horizontal: blended price per million tokens, log scale · Vertical: public score
Lineage
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.
Kimi K3 release history
Radar confirmed these at the source. Use Kimi K3 in your work? Explore Radar to follow supported changes and choose your alerts.
Radar
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
- 1.05M
- 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
- Current
- API capabilities
- Tool calling, structured outputs, and batch support are not tracked yet
- Prompt caching
- Published at $0.30 per million cached input tokens
- 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.
Kimi K3 ranks #15 of 212 on the public leaderboard with a score of 72.14/100. Its source-verified position is #8 of 74.
Kimi K3 has no verified publication yet for weight access. Its 1.05M context window is documented separately from that pending weight status. The profile records its reasoning mode as reasoning.
Its explicit predecessor is Kimi K2.6. 52 of 645 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Its strongest eligible category is Multimodal & Grounded at #1, while its lowest eligible position is Knowledge at #18. particularly strong for screenshots, documents, charts, and grounded multimodal workflows.
Last updated October 2, 2026. Runtime fields remain blank until a sourced snapshot exists.
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.
Questions
How does Kimi K3 perform overall in AI benchmarks?
Kimi K3 ranks #15 out of 212 models on the public BenchAlign leaderboard, with a score of 72.14/100. Its evidence status is Supported, and this profile shows 52 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.
Is Kimi K3 good for knowledge and understanding?
Kimi K3 ranks #18 out of 171 eligible models for knowledge and understanding, with a public category score of 67.9/100. 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.
Is Kimi K3 good for coding and programming?
Kimi K3 ranks #18 out of 144 eligible models for coding and programming, with a public category score of 61.4/100. 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 Kimi K3 good for reasoning and logic?
Kimi K3 ranks #18 out of 27 eligible models for reasoning and logic, with a public category score of 65.8/100. 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 Kimi K3 good for agentic tool use and computer tasks?
Kimi K3 ranks #8 out of 119 eligible models for agentic tool use and computer tasks, with a public category score of 68.1/100. That places it in the current top ten for this category. Check the underlying rows before treating the aggregate as a workload guarantee.
Is Kimi K3 good for multimodal and grounded tasks?
Kimi K3 ranks #1 out of 49 eligible models for multimodal and grounded tasks, with a public category score of 89.4/100. That places it in the current top ten for this category. Check the underlying rows before treating the aggregate as a workload guarantee.
Is Kimi K3 good for instruction following?
Kimi K3 has source-displayable benchmark coverage for instruction following, 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.
Does Kimi K3 have full benchmark coverage on BenchLM?
No. Kimi K3 currently has 79 source-displayable rows across 645 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 Kimi K3?
Kimi K3 has a reported context window of 1.05M 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.