Kimi K3
Moonshot AI · Pending · rank 7 · bench-align-v5
Canonical idkimi-3
Access typePending
Blended $/1M$6.0075% input / 25% output
Capability shape
Seven axes from the ranking source. A missing axis is drawn as a gap.
Runtime service evidence
Measured values with the date they were observed. Nothing is inferred from a sibling model or a provider claim.
Time to first token: latency to the first answer chunk (Artificial Analysis, via BenchLM). Reasoning models include thinking time, so values can run to tens or hundreds of seconds.
Evidence key: Observed
| Measurement | Value | Observed | Last good | Evidence |
|---|---|---|---|---|
| Time to first token | 61.49 s | 2026-09-17 | 2026-09-17 | |
| Throughput | 35 tok/s | 2026-09-17 | 2026-09-17 |
Regional or per-endpoint measurements appear only when the API supplies them; none are modelled here.
Endpoint and price matrix
Every published price component, including cache reads and writes.
| Component | USD | Evidence |
|---|---|---|
| Input / 1M tokens | $3.00 | |
| Output / 1M tokens | $15.00 | |
| Cache read / 1M tokens | $0.30 | |
| Cache write / 1M tokens | Unavailable | |
| Blended / 1M (75% input / 25% output) | $6.00 |
Self-hosted listingMoonshot AI's official Kimi K3 pricing page lists $0.30 cache-hit input, $3.00 cache-miss input, and $15.00 output per million tokens for model ID kimi-k3, with an exact 1,048,576-token context window. OpenRouter independently lists route moonshotai/kimi-k3 with one Moonshot AI INT4 endpoint at the same rates and context length. Prices exclude applicable taxes. Moonshot schedules the full weight release for July 27, 2026, so source type remains pending until the files are public.The rates above are a hosted price matched from another provider, not a first-party list price.
Workload-aware monthly cost example
10 conversations per day × 8 messages × 22 active days, 1200 input and 400 output tokens per message, no cache. This uses the same calculator as the cost simulator, so an unavailable applicable rate makes the example unavailable too.
Benchmark record
72 matched benchmark rows with their published value, unit, and provenance.
Knowledge
| Benchmark | Value | Tasks | Difficulty | Provenance |
|---|---|---|---|---|
| GPQA Graduate-Level Google-Proof Q&A | 93.5 | 448 questions | Graduate level | GPQA: A Graduate-Level Google-Proof Q&A Benchmark |
| GPQA-D GPQA Diamond | 93.5 | Graduate-level science questions | Graduate level | Trinity-Large-Thinking: Scaling an Open Source Frontier Agent |
| HLE Humanity's Last Exam | 56 | Expert-level questions | Frontier expert level | Humanity's Last Exam |
| Artificial Analysis Intelligence Index Artificial Analysis Intelligence Index | 43.8 | Cross-benchmark intelligence index | Display-only external reference | Artificial Analysis |
| AA-GPQA Diamond Artificial Analysis GPQA Diamond | 93.5 | Graduate-level science questions | Graduate-level science reasoning | Artificial Analysis GPQA Diamond Benchmark Leaderboard |
| AA-HLE Artificial Analysis Humanity's Last Exam | 46.9 | Expert-level questions | Frontier expert reasoning | Artificial Analysis Humanity's Last Exam Benchmark Leaderboard |
| AA-Omniscience Index Artificial Analysis Omniscience Index | 19.7 | Knowledge questions | Broad factual knowledge | AA-Omniscience: Knowledge and Hallucination Benchmark |
| AA-Omniscience Accuracy Artificial Analysis Omniscience Accuracy | 47.6 | Knowledge questions | Broad knowledge | Artificial Analysis model benchmarks |
| AA-Omniscience Hallucination Rate Artificial Analysis Omniscience Hallucination Rate | 53.2 | Knowledge questions | Factuality | Artificial Analysis model benchmarks |
| HLE w/o tools Humanity's Last Exam without tools | 43.5 | Expert-level questions | Frontier expert level | Introducing GPT-5.4 mini and nano |
| GPQA Diamond (Vals) GPQA Diamond, Vals AI run | 92.9 | Graduate-level science questions | Expert reasoning | Vals AI GPQA Diamond, Vals AI run leaderboard |
| MMLU-Pro (Vals) MMLU-Pro, Vals AI run | 88.0 | Academic multiple-choice questions | Broad academic knowledge | Vals AI MMLU-Pro, Vals AI run leaderboard |
Coding
| Benchmark | Value | Tasks | Difficulty | Provenance |
|---|---|---|---|---|
| VulcanBench v3 VulcanBench v3 | 73.7 | 23 post-cutoff repository tasks in the v3 report | Professional multi-file software engineering | VulcanBench |
| OpenHarmony Bench OpenHarmony Bench v1.0 | 57.3 | 153 app-development and bug-fix tasks | End-to-end OpenHarmony application development | OpenHarmony Bench: Evaluating LLMs and Coding Agents on OpenHarmony App Development |
| ProgramBench ProgramBench: Can Language Models Rebuild Programs From Scratch? | 77.8 | 200 program reconstruction tasks | Full-repository software architecture | ProgramBench: Can Language Models Rebuild Programs From Scratch? |
| PostTrain Bench PostTrain Bench | 36.6 | Post-training software-engineering tasks | Frontier software engineering | Kimi K3: Open Frontier Intelligence |
| FrontierSWE FrontierSWE | 81.2 | 17 ultra-long-horizon engineering and research tasks | Ultra-long-horizon frontier software engineering | FrontierSWE: Benchmarking coding agents at the limits of human abilities |
| FrontierSWE v2 FrontierSWE v2 | 25.9 | 34 ultra-long-horizon engineering and research tasks | Ultra-long-horizon frontier software engineering | FrontierSWE v2 |
| Kimi Code Bench v2 Kimi Code Bench v2 | 72.9 | Realistic coding-agent tasks | Production software engineering | Kimi K2.7 Code |
| MLS-Bench Lite MLS-Bench Lite | 48.3 | 30 machine-learning research tasks | ML research and systems engineering | MLS-Bench |
| AA Coding Index Artificial Analysis Coding Index | 76.2 | Cross-benchmark coding index | Display-only external reference | Artificial Analysis model leaderboards |
| AA-SciCode Artificial Analysis SciCode | 59.5 | Scientific coding subproblems | Scientific programming | Artificial Analysis SciCode Benchmark Leaderboard |
| LiveCodeBench (Vals) LiveCodeBench, Vals AI run | 87.2 | Competitive programming problems (easy, medium, hard) | Frontier coding | Vals AI LiveCodeBench, Vals AI run leaderboard |
| SWE-bench (Vals) SWE-bench, Vals AI run | 93.4 | Real repository issues by human time bucket | Frontier coding agents | Vals AI SWE-bench, Vals AI run leaderboard |
| DeepSWE DeepSWE | 67.5 | 113 software engineering tasks across 91 repositories and 5 languages | Long-horizon software engineering | DeepSWE benchmark blog |
Reasoning
| Benchmark | Value | Tasks | Difficulty | Provenance |
|---|---|---|---|---|
| AA-LCR Artificial Analysis Long Context Reasoning | 88.7 | Long-context reasoning tasks | Long-context reasoning | Artificial Analysis model benchmarks |
| MLCR-AA Medical Long Context Reasoning (MLCR-AA) | 38.3 | Long, fragmented medical-record reasoning | Long-context medical reasoning | Medical Long Context Reasoning (MLCR-AA) |
| CritPt Critical Physics Tasks | 23.4 | Research-level physics questions | Research-level physics reasoning | CritPt Benchmark Leaderboard |
Agentic
| Benchmark | Value | Tasks | Difficulty | Provenance |
|---|---|---|---|---|
| AA Briefcase Artificial Analysis Briefcase | 1488 | Professional knowledge-work tasks | Professional work | Artificial Analysis Briefcase Benchmark Leaderboard |
| AA AutomationBench Artificial Analysis AutomationBench | 58.3 | Business-process automation tasks | Agentic automation | Artificial Analysis AutomationBench Benchmark Leaderboard |
| AA EnterpriseOps-Gym Artificial Analysis EnterpriseOps-Gym | 45.3 | Enterprise operations workflows | Enterprise agent operations | Artificial Analysis EnterpriseOps-Gym Benchmark Leaderboard |
| AA Harvey LAB Artificial Analysis Harvey LAB-AA | 94.6 | Legal agent tasks | Professional legal work | Artificial Analysis Harvey LAB-AA Benchmark Leaderboard |
| AA ITBench Artificial Analysis ITBench-AA | 47.7 | IT incident-response tasks | Enterprise IT operations | Artificial Analysis ITBench-AA Benchmark Leaderboard |
| AA Tau3 Banking Artificial Analysis Tau3-Banking | 46.0 | Banking tool-use workflows | Agentic banking workflows | Artificial Analysis Tau3-Banking Benchmark Leaderboard |
| Terminal-Bench 2.0 Terminal-Bench 2.0 | 88.3 | Terminal-based software tasks | Professional software engineering | Terminal-Bench 2.0 |
| BrowseComp BrowseComp | 91.2 | Research questions requiring browsing | Hard web research | BrowseComp |
| GDPval-AA GDPval-AA | 1551 | Agentic real-world work tasks | Professional agentic workflows | DeepSeek-V4 Technical Report |
| GDPval-AA GDPval-AA normalized | 52.6 | Economically valuable tasks | Professional agentic workflows | Artificial Analysis model benchmarks |
| AA Agentic Index Artificial Analysis Agentic Index | 50.6 | Cross-benchmark agentic index | Display-only external reference | Artificial Analysis model leaderboards |
| AA Terminal-Bench 4.0 Artificial Analysis Terminal-Bench v4.0 | 12.6 | Terminal-based agent tasks | Agentic software engineering | Artificial Analysis Terminal-Bench v4.0 Benchmark Leaderboard |
| GDP.pdf Artificial Analysis GDP.pdf | 22.0 | Professional document-production tasks | Professional knowledge work | GDP.pdf Benchmark Leaderboard |
| AA-AnalystAgent Artificial Analysis AnalystAgent | 38.8 | Spreadsheet and document analysis questions | Business and data analysis | AA-AnalystAgent Benchmark Leaderboard |
| APEX-Agents-AA APEX-Agents-AA | 41.3 | 452 professional-services agent tasks | Long-horizon workplace agent tasks | APEX-Agents-AA Benchmark Leaderboard |
| JobBench JobBench | 52.9 | 130 tasks across 35 occupations | Professional multi-source workflows | JobBench: Aligning Agent Work With Human Will |
| MCP Atlas MCP Atlas | 84.2 | Tool-integrated agent tasks | Advanced tool use | Introducing GPT-5.4 mini and nano |
| Toolathlon-Verified Toolathlon-Verified | 73.2 | Verified multi-tool workflows | Advanced tool use | Kimi K3: Open Frontier Intelligence |
| AutomationBench AutomationBench | 30.8 | 600 public automation tasks | Long-horizon automation | Kimi K3: Open Frontier Intelligence |
| APEX-Agents APEX-Agents | 37.6 | Professional-services agent tasks | Long-horizon professional work | Kimi K3: Open Frontier Intelligence |
| SpreadsheetBench 2 SpreadsheetBench 2 | 34.8 | Spreadsheet analysis and editing tasks | Professional spreadsheet work | Kimi K3: Open Frontier Intelligence |
| DECK-Bench DECK-Bench (Internal) | 73.5 | Internal presentation workflows | Professional presentation creation | Kimi K3: Open Frontier Intelligence |
| DeepSearchQA DeepSearchQA | 95.0 | Agentic browsing and list-answer questions | Agentic web research | Muse Spark Eval Methodology |
| Terminal-Bench 2.1 (Vals) Terminal-Bench 2.1, Vals AI run | 80.9 | Difficult terminal tasks | Frontier agentic | Vals AI Terminal-Bench 2.1, Vals AI run leaderboard |
| ApprenticeBench ApprenticeBench: end-to-end computer use, continual learning, and long-horizon agency on a real accounts-payable job | 18 | 100 vendor bills processed in sequence inside a simulated construction company | Long-horizon computer use with offline and online continual learning | ApprenticeBench: a step change in AI's job readiness |
Multimodal & Grounded
| Benchmark | Value | Tasks | Difficulty | Provenance |
|---|---|---|---|---|
| MMMU-Pro Massive Multi-discipline Multimodal Understanding Pro | 81.6 | Multimodal academic reasoning | Frontier multimodal | MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark |
| AA-MMMU-Pro Artificial Analysis MMMU-Pro | 80.5 | Multimodal academic reasoning | Frontier multimodal | Artificial Analysis MMMU-Pro Benchmark Leaderboard |
| Design Arena Website Design Arena Website Elo | 1352 | Website generation comparisons | Design and website generation | OpenRouter Grok 4.3 benchmarks |
| OfficeQA Pro OfficeQA Pro | 63.3 | Document and spreadsheet tasks | Enterprise grounded reasoning | OfficeQA Pro: An Enterprise Benchmark for End-to-End Grounded Reasoning |
| MathVision w/ Python MathVision with Python | 97.8 | Visual mathematics problems with Python | Advanced multimodal mathematics | Kimi K3: Open Frontier Intelligence |
| BabyVision w/ Python BabyVision with Python | 85.7 | Visual perception tasks with Python | Fine-grained visual perception | Kimi K3: Open Frontier Intelligence |
| ZeroBench w/ Python ZeroBench_main with Python | 41.0 | Visual reasoning questions with Python | Tool-augmented visual reasoning | Kimi K3: Open Frontier Intelligence |
| WorldVQA ForceAnswer WorldVQA ForceAnswer | 51.0 | Atomic visual world-knowledge questions | Fine-grained visual knowledge | Kimi K3: Open Frontier Intelligence |
| OmniDocBench OmniDocBench | 91.1 | Complex document-understanding tasks | Grounded document reasoning | Kimi K3: Open Frontier Intelligence |
| PerceptionBench PerceptionBench (Internal) | 58.5 | Internal atomic visual-perception tasks | Fine-grained visual perception | Kimi K3: Open Frontier Intelligence |
| MMMU-Pro w/ Python MMMU-Pro with Python | 83.4 | Multimodal academic reasoning | Frontier multimodal | Introducing GPT-5.4 mini and nano |
| MathVision MathVision | 94.3 | Visually grounded math problems | Advanced multimodal mathematics | Qwen3.6 launch benchmarks |
| ZeroBench ZeroBench | 23.0 | 100 visual reasoning questions | Tool-augmented visual reasoning | Muse Spark Eval Methodology |
| CharXiv CharXiv Reasoning | 91.3 | Scientific chart reasoning | Scientific visualization reasoning | CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs |
| CharXiv w/o tools CharXiv Reasoning without tools | 84.8 | Scientific chart reasoning (tool-free) | Scientific visualization reasoning | CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs |
external
| Benchmark | Value | Tasks | Difficulty | Provenance |
|---|---|---|---|---|
| ExploitBench ExploitBench v8-bench | 32 | V8 exploit synthesis runs | Browser exploitation and cybersecurity | ExploitBench |
| ACE solved ACE Cyber Range Challenges Solved | 0 | 41 advanced cyber-range challenges | Advanced cyber operations | UK AISI and CAISI Preliminary Assessment of Kimi K3's Cyber Capabilities |
| The Last Ones steps The Last Ones Average Progress | 17 | 32-step long-horizon cyber range | Long-horizon cyber operations | UK AISI and CAISI Preliminary Assessment of Kimi K3's Cyber Capabilities |
| The Last Ones completion The Last Ones Cyber Range Completion Rate | 10 | 10 long-horizon runs | Long-horizon cyber operations | UK AISI and CAISI Preliminary Assessment of Kimi K3's Cyber Capabilities |
Lifecycle and limitations log
Lifecycle events the source associates with this model, plus what this profile does not claim.
No lifecycle event references this model.
That is not evidence the model has no lifecycle plan — only that this source published none.
What this profile does not claimValues are reproduced exactly as their sources published them, in the units those sources declared; none are converted, interpolated, or averaged across providers. Any field marked unavailable was attempted and not returned — the attempt timestamp is in each badge. Last attempted fetch for this model’s score: 2026-09-17 17:17 UTC.