Kimi K2.7 Code
Not tested yet
Language modelActive
Kimi K2.7 Code
Moonshot AI
- Released
- June 2026
- Data date
- September 8, 2026
- Intelligence
- Overall score
- Speed
- 63.1 tokens/sOutput throughput
- Price
- Input · Output / 1M tokens
- Input
- Text, Image, Video
- Output
- Text
No published category-wide ranking is available for this model.
Entries 1-12 of 40. Page 1 of 4.
Published benchmarks
Each chart compares models in the same documented test and highlights the current model.
Coding
11 measurementsCode Migration
Overall
Higher is better35 modelsKimi K2.7 Code: Rank 21 of 35Data date: September 4, 2026
Scale: 0% - 100%
Methodology and context
- Comparison cohort
- vals-code-migration:1:overall
- Metric
- accuracy
- Scale
- 0-100
- Participants
- 35
- Methodology and context
- Source model ID: kimi/kimi-k2.7-code. Source model name: Kimi K2.7 Code. Evaluator: Vals AI. Dataset type: private. Leaderboard date: 2026-09-03. Latency in seconds: 5945.669. Cost per task in USD: 5.040913. Source ID: vals-ai. Evidence capture ID: vals-code-migration-2026-09-04-37e66450d0d6. Source payload hash: 37e66450d0d6f681e77c4fe9942f74c0aa743078002f50aef50932407223f88f. Parser version: vals-astro-v2. Imported at: 2026-09-04
LiveCodeBench v6
Easy
Higher is better4 modelsKimi K2.7 Code: Rank 3 of 4Data date: August 11, 2026
Scale: 0% - 100%
Methodology and context
- Comparison cohort
- vals-lcb:1:easy
- Metric
- accuracy
- Scale
- 0-100
- Participants
- 4
- Methodology and context
- Source model ID: kimi/kimi-k2.7-code. Source model name: Kimi K2.7 Code. Provider reported by source: Moonshot AI. Evaluator: Vals AI. Dataset type: public. Leaderboard date: 2026-08-09. Latency in seconds: 70.383. Standard error: 0.813. Cost per task in USD: 0.002724. Source ID: vals-ai. Evidence capture ID: vals-lcb-2026-08-11-0342bcc364e4. Source payload hash: 0342bcc364e4426ffb24589c2752c9225be61fbd26db8deba5bdab9775ce5a75. Parser version: vals-astro-v2. Imported at: 2026-08-11
LiveCodeBench v6
Hard
Higher is better4 modelsKimi K2.7 Code: Rank 2 of 4Data date: August 11, 2026
Scale: 0% - 100%
Methodology and context
- Comparison cohort
- vals-lcb:1:hard
- Metric
- accuracy
- Scale
- 0-100
- Participants
- 4
- Methodology and context
- Source model ID: kimi/kimi-k2.7-code. Source model name: Kimi K2.7 Code. Provider reported by source: Moonshot AI. Evaluator: Vals AI. Dataset type: public. Leaderboard date: 2026-08-09. Latency in seconds: 388.241. Standard error: 2.609. Cost per task in USD: 0.060639. Source ID: vals-ai. Evidence capture ID: vals-lcb-2026-08-11-0342bcc364e4. Source payload hash: 0342bcc364e4426ffb24589c2752c9225be61fbd26db8deba5bdab9775ce5a75. Parser version: vals-astro-v2. Imported at: 2026-08-11
LiveCodeBench v6
Medium
Higher is better4 modelsKimi K2.7 Code: Rank 3 of 4Data date: August 11, 2026
Scale: 0% - 100%
Methodology and context
- Comparison cohort
- vals-lcb:1:medium
- Metric
- accuracy
- Scale
- 0-100
- Participants
- 4
- Methodology and context
- Source model ID: kimi/kimi-k2.7-code. Source model name: Kimi K2.7 Code. Provider reported by source: Moonshot AI. Evaluator: Vals AI. Dataset type: public. Leaderboard date: 2026-08-09. Latency in seconds: 183.911. Standard error: 1.692. Cost per task in USD: 0.018683. Source ID: vals-ai. Evidence capture ID: vals-lcb-2026-08-11-0342bcc364e4. Source payload hash: 0342bcc364e4426ffb24589c2752c9225be61fbd26db8deba5bdab9775ce5a75. Parser version: vals-astro-v2. Imported at: 2026-08-11
LiveCodeBench v6
Overall
Higher is better56 modelsKimi K2.7 Code: Rank 31 of 56Data date: September 4, 2026
Scale: 0% - 100%
Methodology and context
- Comparison cohort
- vals-lcb:1:overall
- Metric
- accuracy
- Scale
- 0-100
- Participants
- 56
- Methodology and context
- Source model ID: kimi/kimi-k2.7-code. Source model name: Kimi K2.7 Code. Evaluator: Vals AI. Dataset type: public. Leaderboard date: 2026-09-01. Latency in seconds: 214.178. Cost per task in USD: 0.027349. Source ID: vals-ai. Evidence capture ID: vals-lcb-2026-09-04-95ca83387127. Source payload hash: 95ca83387127df287e9a6d928c411c98c9b65b4cefeee46eb4008ca1521f5ed4. Parser version: vals-astro-v2. Imported at: 2026-09-04
ProgramBench
Overall
Higher is better28 modelsKimi K2.7 Code: Rank 11 of 28Data date: September 4, 2026
Scale: 0% - 100%
Methodology and context
- Comparison cohort
- vals-programbench:1:overall
- Metric
- accuracy
- Scale
- 0-100
- Participants
- 28
- Methodology and context
- Source model ID: kimi/kimi-k2.7-code. Source model name: Kimi K2.7 Code. Evaluator: Vals AI. Dataset type: public. Leaderboard date: 2026-09-01. Latency in seconds: 3860.332. Cost per task in USD: 3.185154. Source ID: vals-ai. Evidence capture ID: vals-programbench-2026-09-04-f36b71e9969e. Source payload hash: f36b71e9969eb61b399cab3e5332654d64e0a9dad9c77c1d134cd5cb103f1ada. Parser version: vals-astro-v2. Imported at: 2026-09-04
SWE-bench Verified
<15 min fix
Higher is better2 modelsKimi K2.7 Code: Rank 2 of 2Data date: August 11, 2026
Scale: 0% - 100%
Methodology and context
- Comparison cohort
- vals-swebench:1:<15 min fix
- Metric
- accuracy
- Scale
- 0-100
- Participants
- 2
- Methodology and context
- Source model ID: kimi/kimi-k2.7-code. Source model name: Kimi K2.7 Code. Provider reported by source: Moonshot AI. Evaluator: Vals AI. Dataset type: public. Leaderboard date: 2026-08-08. Latency in seconds: 561.729. Standard error: 2.282. Cost per task in USD: 0.154689. Source ID: vals-ai. Evidence capture ID: vals-swebench-2026-08-11-a6212cd857d8. Source payload hash: a6212cd857d8406828224bea2aee5b657d927338e035f1ff603eea74c9bc8a7b. Parser version: vals-astro-v2. Imported at: 2026-08-11
SWE-bench Verified
>4 hours
Higher is better2 modelsKimi K2.7 Code: Rank 2 of 2Data date: August 11, 2026
Scale: 0% - 100%
Methodology and context
- Comparison cohort
- vals-swebench:1:>4 hours
- Metric
- accuracy
- Scale
- 0-100
- Participants
- 2
- Methodology and context
- Source model ID: kimi/kimi-k2.7-code. Source model name: Kimi K2.7 Code. Provider reported by source: Moonshot AI. Evaluator: Vals AI. Dataset type: public. Leaderboard date: 2026-08-08. Latency in seconds: 1862.15. Standard error: 33.333. Cost per task in USD: 0.561509. Source ID: vals-ai. Evidence capture ID: vals-swebench-2026-08-11-a6212cd857d8. Source payload hash: a6212cd857d8406828224bea2aee5b657d927338e035f1ff603eea74c9bc8a7b. Parser version: vals-astro-v2. Imported at: 2026-08-11
SWE-bench Verified
1-4 hours
Higher is better2 modelsKimi K2.7 Code: Rank 2 of 2Data date: August 11, 2026
Scale: 0% - 100%
Methodology and context
- Comparison cohort
- vals-swebench:1:1-4 hours
- Metric
- accuracy
- Scale
- 0-100
- Participants
- 2
- Methodology and context
- Source model ID: kimi/kimi-k2.7-code. Source model name: Kimi K2.7 Code. Provider reported by source: Moonshot AI. Evaluator: Vals AI. Dataset type: public. Leaderboard date: 2026-08-08. Latency in seconds: 1477.273. Standard error: 7.809. Cost per task in USD: 0.464016. Source ID: vals-ai. Evidence capture ID: vals-swebench-2026-08-11-a6212cd857d8. Source payload hash: a6212cd857d8406828224bea2aee5b657d927338e035f1ff603eea74c9bc8a7b. Parser version: vals-astro-v2. Imported at: 2026-08-11
SWE-bench Verified
15 min - 1 hour
Higher is better2 modelsKimi K2.7 Code: Rank 2 of 2Data date: August 11, 2026
Scale: 0% - 100%
Methodology and context
- Comparison cohort
- vals-swebench:1:15 min - 1 hour
- Metric
- accuracy
- Scale
- 0-100
- Participants
- 2
- Methodology and context
- Source model ID: kimi/kimi-k2.7-code. Source model name: Kimi K2.7 Code. Provider reported by source: Moonshot AI. Evaluator: Vals AI. Dataset type: public. Leaderboard date: 2026-08-08. Latency in seconds: 1041.18. Standard error: 2.668. Cost per task in USD: 0.312089. Source ID: vals-ai. Evidence capture ID: vals-swebench-2026-08-11-a6212cd857d8. Source payload hash: a6212cd857d8406828224bea2aee5b657d927338e035f1ff603eea74c9bc8a7b. Parser version: vals-astro-v2. Imported at: 2026-08-11
SWE-bench Verified
Overall
Higher is better42 modelsKimi K2.7 Code: Rank 20 of 42Data date: September 4, 2026
Scale: 0% - 100%
Methodology and context
- Comparison cohort
- vals-swebench:1:overall
- Metric
- accuracy
- Scale
- 0-100
- Participants
- 42
- Methodology and context
- Source model ID: kimi/kimi-k2.7-code. Source model name: Kimi K2.7 Code. Evaluator: Vals AI. Dataset type: public. Leaderboard date: 2026-09-01. Latency in seconds: 896.71. Cost per task in USD: 0.265276. Source ID: vals-ai. Evidence capture ID: vals-swebench-2026-09-04-23e2d6d631b6. Source payload hash: 23e2d6d631b6dd94d25738415e287bece2e24eddbe0f699838f5e50efe93a54a. Parser version: vals-astro-v2. Imported at: 2026-09-04
SkillsBench
Overall
Higher is better20 modelsKimi K2.7 Code: Rank 13 of 20Data date: September 4, 2026
Scale: 0% - 100%
Methodology and context
- Comparison cohort
- vals-skillsbench:1:overall
- Metric
- accuracy
- Scale
- 0-100
- Participants
- 20
- Methodology and context
- Source model ID: kimi/kimi-k2.7-code. Source model name: Kimi K2.7 Code. Evaluator: Vals AI. Dataset type: public. Leaderboard date: 2026-09-01. Harness: OpenHands. Latency in seconds: 803.827. Cost per task in USD: 0.443192. Source ID: vals-ai. Evidence capture ID: vals-skillsbench-2026-09-04-52746fb5b06a. Source payload hash: 52746fb5b06a930d9396a64c62b2252211a47fb8940e5461088ed4e77ce89d7d. Parser version: vals-astro-v2. Imported at: 2026-09-04
Recorded measurement details
Every observation retains its source value and published test conditions.
Code Migration: Overall (Show measurement, test conditions, and source)
- Source value
- 25.392
- Score
- 25.392
- Metric
- accuracy
- Unit
- %
- Benchmark version
- 1
- Category
- coding
- Task
- overall
- Task label
- Overall
- Direction
- Higher is better
- Comparison cohort
- vals-code-migration:1:overall
- Source type
- independent-evaluator
- Evaluator
- Vals AI
- Status
- active
- Retrieved at
- 2026-09-04
- Methodology
- Source model ID: kimi/kimi-k2.7-code. Source model name: Kimi K2.7 Code. Evaluator: Vals AI. Dataset type: private. Leaderboard date: 2026-09-03. Latency in seconds: 5945.669. Cost per task in USD: 5.040913. Source ID: vals-ai. Evidence capture ID: vals-code-migration-2026-09-04-37e66450d0d6. Source payload hash: 37e66450d0d6f681e77c4fe9942f74c0aa743078002f50aef50932407223f88f. Parser version: vals-astro-v2. Imported at: 2026-09-04
LiveCodeBench v6: Easy (Show measurement, test conditions, and source)
- Source value
- 97.826
- Score
- 97.826
- Metric
- accuracy
- Unit
- %
- Benchmark version
- 1
- Category
- coding
- Task
- easy
- Task label
- Easy
- Direction
- Higher is better
- Comparison cohort
- vals-lcb:1:easy
- Source type
- independent-evaluator
- Evaluator
- Vals AI
- Status
- active
- Retrieved at
- 2026-08-11
- Methodology
- Source model ID: kimi/kimi-k2.7-code. Source model name: Kimi K2.7 Code. Provider reported by source: Moonshot AI. Evaluator: Vals AI. Dataset type: public. Leaderboard date: 2026-08-09. Latency in seconds: 70.383. Standard error: 0.813. Cost per task in USD: 0.002724. Source ID: vals-ai. Evidence capture ID: vals-lcb-2026-08-11-0342bcc364e4. Source payload hash: 0342bcc364e4426ffb24589c2752c9225be61fbd26db8deba5bdab9775ce5a75. Parser version: vals-astro-v2. Imported at: 2026-08-11
LiveCodeBench v6: Hard (Show measurement, test conditions, and source)
- Source value
- 60.857
- Score
- 60.857
- Metric
- accuracy
- Unit
- %
- Benchmark version
- 1
- Category
- coding
- Task
- hard
- Task label
- Hard
- Direction
- Higher is better
- Comparison cohort
- vals-lcb:1:hard
- Source type
- independent-evaluator
- Evaluator
- Vals AI
- Status
- active
- Retrieved at
- 2026-08-11
- Methodology
- Source model ID: kimi/kimi-k2.7-code. Source model name: Kimi K2.7 Code. Provider reported by source: Moonshot AI. Evaluator: Vals AI. Dataset type: public. Leaderboard date: 2026-08-09. Latency in seconds: 388.241. Standard error: 2.609. Cost per task in USD: 0.060639. Source ID: vals-ai. Evidence capture ID: vals-lcb-2026-08-11-0342bcc364e4. Source payload hash: 0342bcc364e4426ffb24589c2752c9225be61fbd26db8deba5bdab9775ce5a75. Parser version: vals-astro-v2. Imported at: 2026-08-11
LiveCodeBench v6: Medium (Show measurement, test conditions, and source)
- Source value
- 87.467
- Score
- 87.467
- Metric
- accuracy
- Unit
- %
- Benchmark version
- 1
- Category
- coding
- Task
- medium
- Task label
- Medium
- Direction
- Higher is better
- Comparison cohort
- vals-lcb:1:medium
- Source type
- independent-evaluator
- Evaluator
- Vals AI
- Status
- active
- Retrieved at
- 2026-08-11
- Methodology
- Source model ID: kimi/kimi-k2.7-code. Source model name: Kimi K2.7 Code. Provider reported by source: Moonshot AI. Evaluator: Vals AI. Dataset type: public. Leaderboard date: 2026-08-09. Latency in seconds: 183.911. Standard error: 1.692. Cost per task in USD: 0.018683. Source ID: vals-ai. Evidence capture ID: vals-lcb-2026-08-11-0342bcc364e4. Source payload hash: 0342bcc364e4426ffb24589c2752c9225be61fbd26db8deba5bdab9775ce5a75. Parser version: vals-astro-v2. Imported at: 2026-08-11
LiveCodeBench v6: Overall (Show measurement, test conditions, and source)
- Source value
- 82.05
- Score
- 82.05
- Metric
- accuracy
- Unit
- %
- Benchmark version
- 1
- Category
- coding
- Task
- overall
- Task label
- Overall
- Direction
- Higher is better
- Comparison cohort
- vals-lcb:1:overall
- Source type
- independent-evaluator
- Evaluator
- Vals AI
- Status
- active
- Retrieved at
- 2026-09-04
- Methodology
- Source model ID: kimi/kimi-k2.7-code. Source model name: Kimi K2.7 Code. Evaluator: Vals AI. Dataset type: public. Leaderboard date: 2026-09-01. Latency in seconds: 214.178. Cost per task in USD: 0.027349. Source ID: vals-ai. Evidence capture ID: vals-lcb-2026-09-04-95ca83387127. Source payload hash: 95ca83387127df287e9a6d928c411c98c9b65b4cefeee46eb4008ca1521f5ed4. Parser version: vals-astro-v2. Imported at: 2026-09-04
ProgramBench: Overall (Show measurement, test conditions, and source)
- Source value
- 0
- Score
- 0
- Metric
- accuracy
- Unit
- %
- Benchmark version
- 1
- Category
- coding
- Task
- overall
- Task label
- Overall
- Direction
- Higher is better
- Comparison cohort
- vals-programbench:1:overall
- Source type
- independent-evaluator
- Evaluator
- Vals AI
- Status
- active
- Retrieved at
- 2026-09-04
- Methodology
- Source model ID: kimi/kimi-k2.7-code. Source model name: Kimi K2.7 Code. Evaluator: Vals AI. Dataset type: public. Leaderboard date: 2026-09-01. Latency in seconds: 3860.332. Cost per task in USD: 3.185154. Source ID: vals-ai. Evidence capture ID: vals-programbench-2026-09-04-f36b71e9969e. Source payload hash: f36b71e9969eb61b399cab3e5332654d64e0a9dad9c77c1d134cd5cb103f1ada. Parser version: vals-astro-v2. Imported at: 2026-09-04
SkillsBench: Overall (Show measurement, test conditions, and source)
- Source value
- 50.036
- Score
- 50.036
- Metric
- accuracy
- Unit
- %
- Benchmark version
- 1
- Category
- agentic
- Task
- overall
- Task label
- Overall
- Direction
- Higher is better
- Comparison cohort
- vals-skillsbench:1:overall
- Source type
- independent-evaluator
- Evaluator
- Vals AI
- Status
- active
- Retrieved at
- 2026-09-04
- Methodology
- Source model ID: kimi/kimi-k2.7-code. Source model name: Kimi K2.7 Code. Evaluator: Vals AI. Dataset type: public. Leaderboard date: 2026-09-01. Harness: OpenHands. Latency in seconds: 803.827. Cost per task in USD: 0.443192. Source ID: vals-ai. Evidence capture ID: vals-skillsbench-2026-09-04-52746fb5b06a. Source payload hash: 52746fb5b06a930d9396a64c62b2252211a47fb8940e5461088ed4e77ce89d7d. Parser version: vals-astro-v2. Imported at: 2026-09-04
- Comparison methodology
- Harness: OpenHands
SWE-bench Verified: <15 min fix (Show measurement, test conditions, and source)
- Source value
- 88.66
- Score
- 88.66
- Metric
- accuracy
- Unit
- %
- Benchmark version
- 1
- Category
- coding
- Task
- <15 min fix
- Task label
- <15 min fix
- Direction
- Higher is better
- Comparison cohort
- vals-swebench:1:<15 min fix
- Source type
- independent-evaluator
- Evaluator
- Vals AI
- Status
- active
- Retrieved at
- 2026-08-11
- Methodology
- Source model ID: kimi/kimi-k2.7-code. Source model name: Kimi K2.7 Code. Provider reported by source: Moonshot AI. Evaluator: Vals AI. Dataset type: public. Leaderboard date: 2026-08-08. Latency in seconds: 561.729. Standard error: 2.282. Cost per task in USD: 0.154689. Source ID: vals-ai. Evidence capture ID: vals-swebench-2026-08-11-a6212cd857d8. Source payload hash: a6212cd857d8406828224bea2aee5b657d927338e035f1ff603eea74c9bc8a7b. Parser version: vals-astro-v2. Imported at: 2026-08-11
SWE-bench Verified: >4 hours (Show measurement, test conditions, and source)
- Source value
- 33.333
- Score
- 33.333
- Metric
- accuracy
- Unit
- %
- Benchmark version
- 1
- Category
- coding
- Task
- >4 hours
- Task label
- >4 hours
- Direction
- Higher is better
- Comparison cohort
- vals-swebench:1:>4 hours
- Source type
- independent-evaluator
- Evaluator
- Vals AI
- Status
- active
- Retrieved at
- 2026-08-11
- Methodology
- Source model ID: kimi/kimi-k2.7-code. Source model name: Kimi K2.7 Code. Provider reported by source: Moonshot AI. Evaluator: Vals AI. Dataset type: public. Leaderboard date: 2026-08-08. Latency in seconds: 1862.15. Standard error: 33.333. Cost per task in USD: 0.561509. Source ID: vals-ai. Evidence capture ID: vals-swebench-2026-08-11-a6212cd857d8. Source payload hash: a6212cd857d8406828224bea2aee5b657d927338e035f1ff603eea74c9bc8a7b. Parser version: vals-astro-v2. Imported at: 2026-08-11
SWE-bench Verified: 1-4 hours (Show measurement, test conditions, and source)
- Source value
- 50
- Score
- 50
- Metric
- accuracy
- Unit
- %
- Benchmark version
- 1
- Category
- coding
- Task
- 1-4 hours
- Task label
- 1-4 hours
- Direction
- Higher is better
- Comparison cohort
- vals-swebench:1:1-4 hours
- Source type
- independent-evaluator
- Evaluator
- Vals AI
- Status
- active
- Retrieved at
- 2026-08-11
- Methodology
- Source model ID: kimi/kimi-k2.7-code. Source model name: Kimi K2.7 Code. Provider reported by source: Moonshot AI. Evaluator: Vals AI. Dataset type: public. Leaderboard date: 2026-08-08. Latency in seconds: 1477.273. Standard error: 7.809. Cost per task in USD: 0.464016. Source ID: vals-ai. Evidence capture ID: vals-swebench-2026-08-11-a6212cd857d8. Source payload hash: a6212cd857d8406828224bea2aee5b657d927338e035f1ff603eea74c9bc8a7b. Parser version: vals-astro-v2. Imported at: 2026-08-11
SWE-bench Verified: 15 min - 1 hour (Show measurement, test conditions, and source)
- Source value
- 75.479
- Score
- 75.479
- Metric
- accuracy
- Unit
- %
- Benchmark version
- 1
- Category
- coding
- Task
- 15 min - 1 hour
- Task label
- 15 min - 1 hour
- Direction
- Higher is better
- Comparison cohort
- vals-swebench:1:15 min - 1 hour
- Source type
- independent-evaluator
- Evaluator
- Vals AI
- Status
- active
- Retrieved at
- 2026-08-11
- Methodology
- Source model ID: kimi/kimi-k2.7-code. Source model name: Kimi K2.7 Code. Provider reported by source: Moonshot AI. Evaluator: Vals AI. Dataset type: public. Leaderboard date: 2026-08-08. Latency in seconds: 1041.18. Standard error: 2.668. Cost per task in USD: 0.312089. Source ID: vals-ai. Evidence capture ID: vals-swebench-2026-08-11-a6212cd857d8. Source payload hash: a6212cd857d8406828224bea2aee5b657d927338e035f1ff603eea74c9bc8a7b. Parser version: vals-astro-v2. Imported at: 2026-08-11
SWE-bench Verified: Overall (Show measurement, test conditions, and source)
- Source value
- 78.2
- Score
- 78.2
- Metric
- accuracy
- Unit
- %
- Benchmark version
- 1
- Category
- coding
- Task
- overall
- Task label
- Overall
- Direction
- Higher is better
- Comparison cohort
- vals-swebench:1:overall
- Source type
- independent-evaluator
- Evaluator
- Vals AI
- Status
- active
- Retrieved at
- 2026-09-04
- Methodology
- Source model ID: kimi/kimi-k2.7-code. Source model name: Kimi K2.7 Code. Evaluator: Vals AI. Dataset type: public. Leaderboard date: 2026-09-01. Latency in seconds: 896.71. Cost per task in USD: 0.265276. Source ID: vals-ai. Evidence capture ID: vals-swebench-2026-09-04-23e2d6d631b6. Source payload hash: 23e2d6d631b6dd94d25738415e287bece2e24eddbe0f699838f5e50efe93a54a. Parser version: vals-astro-v2. Imported at: 2026-09-04
Our model tests
Community tests you can inspect
Compare how the models respond to the same prompt. Each test shows the first attempt, with no subsequent fixes to the generated code. These results do not contribute to an overall score.
Pelican on a bicycle
A community classic for free-form SVG drawing.
Prompt and test conditions
Generate an SVG of a pelican riding a bicycle
Token limit including reasoning: 8,192 tokens
Task origin (Simon Willison)Profile
Specifications and access
Published information about this model. Existing estimates are explicitly labeled.
Additional source observations
Dated documentation and model-card observations. Provider limits, native context and extended context can differ. Configuration notes retain the source wording.
- License
- modified MITSource
- Parameters
- 1,000 BSource
- Active parameters
- 32 BSource
- Context window
- 262,144 tokensSource
- Architecture
- MoE with MLA and MoonViTSource
- Output
- TextSource
- Tool calling
- YesSource
- Input
- Text, Image, Video (Video is experimental and supported by the official API.)Source
- Reasoning mode
- Thinking mode; preserve_thinking is mandatory.Source
Pricing
Published prices
Prices apply to the stated unit. Resolution, output length, and provider can change the cost.
Cost example
100 API requests
$0.295
100 requests with 1,000 input and 500 output tokens each calculate to $0.295. Input accounts for $0.095; output accounts for $0.2.
- Input price
- $0.95 / 1M tokensBase tier for each request
- Output price
- $4 / 1M tokensBase tier for each request
The calculation uses documented token prices and no cache discount. It excludes extra tools, tax, reasoning tokens, and further hidden output tokens.
Open sourceHead-to-head comparisons
Compare this model
Each matchup compares this model with exactly one other model from the same category.
There are no published direct comparisons for this model yet.
Evidence
Sources and data date
Every statement links to its underlying documentation or leaderboard.
- Speed
Kimi. Output speed after the first streaming chunk, not total response time. Retrieved September 8, 2026.
- Price
Base API prices without caching or batch discounts. Higher context tiers and other rates are listed under Costs.
- Input
Documented modalities. Retrieved September 8, 2026.
- Output
Documented modalities. Retrieved September 8, 2026.
Research date September 8, 2026. 2 source URLs checked. This documents the inspected sources, not an exhaustive inventory of every publication.
Open evidence questions and research notes (original wording)
Unresolved
release-date. No normalized release-date field in card.
- Model metadataSource
- API pricingSource
- Vals AI (retrieved August 11, 2026; September 4, 2026)Source
- Vals AI (retrieved August 11, 2026; September 4, 2026)Source
- Vals AI (retrieved August 11, 2026; September 4, 2026)Source
- Vals AI (retrieved August 11, 2026; September 4, 2026)Source
- Vals AI (retrieved August 11, 2026; September 4, 2026)Source
- Vals AI (retrieved August 11, 2026; September 4, 2026)Source
- Vals AI (retrieved September 4, 2026)Source
- Kimi K2.7 Code model card (retrieved September 8, 2026)Source
- Artificial Analysis (retrieved September 8, 2026)Source
- Speed measurement methodologySource