
Kimi K3
Multimodal Kimi model with 1M context and toggleable max-effort thinking for long-horizon agent work
- Context
- 1.0M
- Released
- 3mo ago
- Parameters
- 2.8T
- Input / 1M tokens
- $0.45
- Output / 1M tokens
- $16.50
- Cached input / 1M tokens
- $0.28
Sources:models.devOpenRouter
Benchmarks
DeepSWE is the primary coding benchmark where an exact model evaluation exists. Other sourced evaluations appear below; missing scores are not zero.
DeepSWE 1.1
Primary coding-agent benchmark · 113 tasks · Data generated 2026-09-22
- pass@4
- 89.4%
- Average cost / attempt
- $4.65
- Benchmark runs
- 4
pass@1 is the success rate across scored attempts; pass@4 is the share of tasks solved in at least one of four attempts. Costs are reported by DeepSWE for each configuration. These results are not directly comparable to evaluations using different harnesses. Official source JSON.
Other published benchmarks
| Evaluation | Reported score and source |
|---|---|
| ARC-AGI-2 | 55.0% Third-party evaluator · kimi-k3_high Reasoning effort: high External evaluation via Epoch AIOriginal-source terms apply |
| ARC-AGI-2 | 12.4% Third-party evaluator · kimi-k3_low Reasoning effort: low External evaluation via Epoch AIOriginal-source terms apply |
| ARC-AGI-2 | 60.4% Third-party evaluator · kimi-k3_max Reasoning effort: max External evaluation via Epoch AIOriginal-source terms apply |
| FrontierMath-Tier-4-v2-Private | |
| FrontierMath-Tiers-1-3-v2-Private | |
| GPQA diamond | |
| GPQA diamond | |
| GPQA diamond | |
| OTIS Mock AIME 2024-2025 | |
| OTIS Mock AIME 2024-2025 | |
| OTIS Mock AIME 2024-2025 | |
| SimpleQA Verified |
Benchmark compilation: Epoch AI, Capabilities & benchmarking (CC BY attribution). Scores are converted to percentages and model names matched to the Vertical Tabs catalog. Individual evaluations are credited to their original sources. External results may carry separate licences and evaluation configurations; do not interpret scores from different harnesses as directly comparable.
Specifications
- Developer
- Moonshot AI
- Model family
- Kimi
- Type
- Language model
- Predecessor
- —
- Successor
- —
- Released
- July 16, 2026
- Model ID
moonshotai/kimi-k3- Openness
- Open weights
- License
- —
- Parameters
- 2.8T
- Architecture
- kimi-k3
- Families
- kimi-k3
- Input modalities
- text, image, video
- Output modalities
- text
- Modality
- text+image+video->text
- Native context
- 1.0M
- Tokenizer
- Other
- Max output tokens
- 944K
- Hugging Face
- moonshotai/Kimi-K3
- Source freshness
- Metadata synced Oct 8, 2026, 10:17 PM UTC
Open-weight builds
Ollama variants
Every published Ollama tag matched to this model, including parameter editions, instruction/base variants, and quantized builds.
| Variant | Parameters | Type | Quantization | Size | Context | Input |
|---|---|---|---|---|---|---|
| kimi-k3:cloud | 2.8T | cloud | — | — | 1M | text + image |
Additional source evidence
- Source model
- moonshotai/kimi-k3
- Source family
- kimi-k3
- Last updated
- 2026-07-16
- Model context
- 1.0M
- Model output limit
- 131K
- Open weights
- Yes
- File attachments
- Yes
- Reasoning
- Yes
- Tool calling
- Yes
- Structured output
- Yes
- Temperature control
- No
Published benchmarks
| Benchmark | Score | Evaluation details | Evidence |
|---|---|---|---|
| DeepSWE | 67.5 · resolve rate | Kimi Code · max effort · 1.1 · 2026-07-16 | Source |
| Terminal-Bench | 88.3 · accuracy | Kimi Code · max effort · 2.1 · 2026-07-16 | Source |
| FrontierSWE | 81.2 · dominance score | Kimi Code · max effort · 2026-07-16 | Source |
| Program Bench | 77.8 · score | Kimi Code · max effort · 2026-07-16 | Source |
| SWE Marathon | 42 · resolve rate | Claude Code · max effort · 1.1 · 2026-07-16 | Source |
| GDPval-AA | 1668 · Elo | max effort · v2 · 2026-07-16 | Source |
| AA-Briefcase | 1548 · Elo | max effort · 2026-07-16 | Source |
| AutomationBench | 30.8 · success rate | 600-task public subset · max effort · 2026-07-16 | Source |
| JobBench | 52.9 · score | max effort · 2026-07-16 | Source |
| SpreadsheetBench | 34.8 · score | Claude Code · max effort · 2 · 2026-07-16 | Source |
| BrowseComp | 91.2 · accuracy | max effort, context compaction · 2026-07-16 | Source |
| CharXiv Reasoning | 91.3 · accuracy | max effort, with tools · 2026-07-16 | Source |
| ZeroBench | 41 · pass@5 | max effort, with tools · 2026-07-16 | Source |
Complete source record (JSON)
{
"id": "moonshotai/kimi-k3",
"name": "Kimi K3",
"description": "Multimodal Kimi model with 1M context and toggleable max-effort thinking for long-horizon agent work",
"family": "kimi-k3",
"last_updated": "2026-07-16",
"attachment": true,
"reasoning": true,
"tool_call": true,
"structured_output": true,
"temperature": false,
"modalities": {
"input": [
"text",
"image",
"video"
],
"output": [
"text"
]
},
"limit": {
"context": 1048576,
"output": 131072
},
"benchmarks": [
{
"name": "DeepSWE",
"score": 67.5,
"source": "https://www.kimi.com/blog/kimi-k3",
"metric": "resolve rate",
"harness": "Kimi Code",
"variant": "max effort",
"version": "1.1",
"date": "2026-07-16"
},
{
"name": "Terminal-Bench",
"score": 88.3,
"source": "https://www.kimi.com/blog/kimi-k3",
"metric": "accuracy",
"harness": "Kimi Code",
"variant": "max effort",
"version": "2.1",
"date": "2026-07-16"
},
{
"name": "FrontierSWE",
"score": 81.2,
"source": "https://www.kimi.com/blog/kimi-k3",
"metric": "dominance score",
"harness": "Kimi Code",
"variant": "max effort",
"date": "2026-07-16"
},
{
"name": "Program Bench",
"score": 77.8,
"source": "https://www.kimi.com/blog/kimi-k3",
"metric": "score",
"harness": "Kimi Code",
"variant": "max effort",
"date": "2026-07-16"
},
{
"name": "SWE Marathon",
"score": 42,
"source": "https://www.kimi.com/blog/kimi-k3",
"metric": "resolve rate",
"harness": "Claude Code",
"variant": "max effort",
"version": "1.1",
"date": "2026-07-16"
},
{
"name": "GDPval-AA",
"score": 1668,
"source": "https://www.kimi.com/blog/kimi-k3",
"metric": "Elo",
"variant": "max effort",
"version": "v2",
"date": "2026-07-16"
},
{
"name": "AA-Briefcase",
"score": 1548,
"source": "https://www.kimi.com/blog/kimi-k3",
"metric": "Elo",
"variant": "max effort",
"date": "2026-07-16"
},
{
"name": "AutomationBench",
"score": 30.8,
"source": "https://www.kimi.com/blog/kimi-k3",
"metric": "success rate",
"variant": "max effort",
"dataset": "600-task public subset",
"date": "2026-07-16"
},
{
"name": "JobBench",
"score": 52.9,
"source": "https://www.kimi.com/blog/kimi-k3",
"metric": "score",
"variant": "max effort",
"date": "2026-07-16"
},
{
"name": "SpreadsheetBench",
"score": 34.8,
"source": "https://www.kimi.com/blog/kimi-k3",
"metric": "score",
"harness": "Claude Code",
"variant": "max effort",
"version": "2",
"date": "2026-07-16"
},
{
"name": "BrowseComp",
"score": 91.2,
"source": "https://www.kimi.com/blog/kimi-k3",
"metric": "accuracy",
"variant": "max effort, context compaction",
"date": "2026-07-16"
},
{
"name": "CharXiv Reasoning",
"score": 91.3,
"source": "https://www.kimi.com/blog/kimi-k3",
"metric": "accuracy",
"variant": "max effort, with tools",
"date": "2026-07-16"
},
{
"name": "ZeroBench",
"score": 41,
"source": "https://www.kimi.com/blog/kimi-k3",
"metric": "pass@5",
"variant": "max effort, with tools",
"date": "2026-07-16"
}
],
"release_date": "2026-07-16",
"open_weights": true
}Infrastructure
Provider availability
| Provider | Endpoint | Context | Input /M tokens | Output /M tokens | Cached input /M tokens | Cache write /M tokens | Uptime 1d | Data handling |
|---|---|---|---|---|---|---|---|---|
| wafer | 1.0M | $0.29 | $24.00 | $0.28 | — | 100.00% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| waferBatch pricing | 1.0M | $0.29 | $24.00 | $0.28 | — | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| relace/fp4 | 1.0M | $0.30 | $14.00 | $0.30 | — | 100.00% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| relace/fp4Batch pricing | 1.0M | $0.32 | $14.00 | $0.30 | — | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| wafer/us | 1.0M | $0.33 | $14.90 | $0.32 | — | 100.00% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| wafer/usBatch pricing | 1.0M | $0.33 | $14.90 | $0.32 | — | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| inference-net/fp4 | 1.0M | $0.45 | $15.00 | $0.28 | — | 100.00% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| inference-net/fp4Batch pricing | 1.0M | $0.45 | $15.00 | $0.28 | — | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| morph/fp8 | 1.0M | $0.80 | $14.90 | $0.29 | — | 98.35% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| morph/fp8Batch pricing | 1.0M | $0.80 | $14.90 | $0.29 | — | 98.28% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| sail-research/fp4 | 1.0M | $0.84 | $13.50 | $0.30 | — | 99.62% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| sail-research/fp4Batch pricing | 1.0M | $0.84 | $13.50 | $0.30 | — | 99.69% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| akashml/fp4 | 1.0M | $1.20 | $14.00 | $1.20 | — | 97.19% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| akashml/fp4Batch pricing | 1.0M | $1.20 | $14.00 | $1.20 | — | 99.25% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| makora/fp4 | 1.0M | $1.53 | $12.75 | $0.20 | — | 92.09% | ZDR: Yes | |
| makora/fp4Batch pricing | 1.0M | $1.53 | $12.75 | $0.20 | — | 98.69% | ZDR: No | |
| chutes/mxfp4 | 1.0M | $1.85 | $9.50 | $0.19 | — | 95.97% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| chutes/mxfp4Batch pricing | 1.0M | $1.85 | $9.50 | $0.19 | — | 91.36% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| decart/mxfp4 | 1.0M | $2.13 | $10.65 | $0.21 | — | 99.14% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| decart/mxfp4Batch pricing | 1.0M | $2.13 | $10.65 | $0.21 | — | 99.27% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| inference-net/fast | 1.0M | $2.49 | $15.00 | $0.35 | — | 100.00% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| inference-net/fastBatch pricing | 1.0M | $2.49 | $15.00 | $0.35 | — | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| digitalocean | 1.0M | $2.55 | $12.95 | $0.26 | — | 100.00% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| digitaloceanBatch pricing | 1.0M | $2.55 | $12.95 | $0.26 | — | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| phala | 1.0M | $2.55 | $12.75 | $0.26 | — | 99.79% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| phalaBatch pricing | 1.0M | $2.55 | $12.75 | $0.26 | — | 99.93% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| parasail/fp4 | 1.0M | $2.60 | $13.00 | $0.26 | — | 100.00% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| parasail/fp4Batch pricing | 1.0M | $2.60 | $13.00 | $0.26 | — | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| deepinfra/mxfp4 | 1.0M | $2.85 | $14.25 | $0.29 | — | 99.93% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| deepinfra/mxfp4Batch pricing | 1.0M | $2.85 | $14.25 | $0.29 | — | 99.93% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| amazon-bedrock/us-east-2 | 1.0M | $3.00 | $15.00 | $0.30 | $3.75 | 95.91% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| amazon-bedrock/us-east-2Batch pricing | 1.0M | $3.00 | $15.00 | $0.30 | $3.75 | 94.81% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| baseten/fp8 | 1.0M | $3.00 | $15.00 | $0.30 | — | 100.00% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| baseten/fp8Batch pricing | 1.0M | $3.00 | $15.00 | $0.30 | — | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| fireworks | 1.0M | $3.00 | $15.00 | $0.30 | — | 97.53% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| fireworksBatch pricing | 1.0M | $3.00 | $15.00 | $0.30 | — | 97.56% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| modal/mxfp4 | 1.0M | $3.00 | $15.00 | $0.30 | — | 98.35% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| modal/mxfp4Batch pricing | 1.0M | $3.00 | $15.00 | $0.30 | — | 98.35% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| moonshotai/mxfp4 | 1.0M | $3.00 | $15.00 | $0.30 | — | 100.00% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| moonshotai/mxfp4Batch pricing | 1.0M | $3.00 | $15.00 | $0.30 | — | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| parasail/fast | 1M | $3.00 | $15.00 | $0.30 | — | 97.67% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| parasail/fastBatch pricing | 1M | $3.00 | $15.00 | $0.30 | — | 98.31% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| together | 1.0M | $3.00 | $15.00 | $0.30 | — | 99.85% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| togetherBatch pricing | 1.0M | $3.00 | $15.00 | $0.30 | — | 99.63% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| alibaba | 1.0M | $3.45 | $17.25 | $0.35 | — | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| alibabaBatch pricing | 1.0M | $3.45 | $17.25 | $0.35 | — | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| fireworks/us | 1.0M | $4.50 | $22.50 | $0.45 | — | 60.05% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| fireworks/fast | 1.0M | $4.50 | $22.50 | $0.45 | — | 99.93% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| fireworks/usBatch pricing | 1.0M | $4.50 | $22.50 | $0.45 | — | 45.67% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| fireworks/fastBatch pricing | 1.0M | $4.50 | $22.50 | $0.45 | — | 99.93% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 |
Provider data:OpenRouter
Deployment graph
Can I run this?
Vertical Tabs only shows compatibility when it has structured evidence tying this exact model to hardware, runtime, quantization, memory use, and observed performance.