Kimi K2.5
Not tested yet
Language modelOpen source
Kimi K2.5
Moonshot AI
- Released
- January 1, 2026
- Data date
- September 8, 2026
- Intelligence
- Overall score
- 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 68. Page 1 of 6.
Published benchmarks
Each chart compares models in the same documented test and highlights the current model.
Coding
3 measurementsCode Migration
Overall
Higher is better35 modelsKimi K2.5: Rank 31 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-k2.5-thinking. Source model name: Kimi K2.5. Evaluator: Vals AI. Dataset type: private. Leaderboard date: 2026-09-03. Latency in seconds: 3820.711. Cost per task in USD: 0.926909. 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
IOI
Overall
Higher is better24 modelsKimi K2.5: Rank 13 of 24Data date: September 4, 2026
Scale: 0% - 100%
Methodology and context
- Comparison cohort
- vals-ioi:1:overall
- Metric
- accuracy
- Scale
- 0-100
- Participants
- 24
- Methodology and context
- Source model ID: kimi/kimi-k2.5-thinking. Source model name: Kimi K2.5. Evaluator: Vals AI. Dataset type: public. Leaderboard date: 2026-08-09. Latency in seconds: 3828.386. Cost per task in USD: 0.677261. Source ID: vals-ai. Evidence capture ID: vals-ioi-2026-09-04-c6f99e8d7130. Source payload hash: c6f99e8d713092dbfdc9cbcfd6b376fbb7209970714528eab31f6b541d90f20c. Parser version: vals-astro-v2. Imported at: 2026-09-04
LiveCodeBench v6
Overall
Higher is better56 modelsKimi K2.5: Rank 25 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-k2.5-thinking. Source model name: Kimi K2.5. Evaluator: Vals AI. Dataset type: public. Leaderboard date: 2026-09-01. Latency in seconds: 200.023. Cost per task in USD: 0.038656. 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
Finance
3 measurementsCorpFin v2
Overall
Higher is better50 modelsKimi K2.5: Rank 8 of 50Data date: September 4, 2026
Scale: 0% - 100%
Methodology and context
- Comparison cohort
- vals-corp-fin-v2:2:overall
- Metric
- accuracy
- Scale
- 0-100
- Participants
- 50
- Methodology and context
- Source model ID: kimi/kimi-k2.5-thinking. Source model name: Kimi K2.5. Evaluator: Vals AI. Dataset type: private. Leaderboard date: 2026-08-12. Latency in seconds: 80.779. Cost per task in USD: 0.052412. Source ID: vals-ai. Evidence capture ID: vals-corp_fin_v2-2026-09-04-46dad6684551. Source payload hash: 46dad668455190ee4239b7c743d00d81c6fd3127e0d87123c518ec107c13b44d. Parser version: vals-astro-v2. Imported at: 2026-09-04
EMB
Overall
Higher is better32 modelsKimi K2.5: Rank 29 of 32Data date: September 4, 2026
Scale: 0% - 100%
Methodology and context
- Comparison cohort
- vals-emb:1:overall
- Metric
- accuracy
- Scale
- 0-100
- Participants
- 32
- Methodology and context
- Source model ID: kimi/kimi-k2.5-thinking. Source model name: Kimi K2.5. Evaluator: Vals AI. Dataset type: private. Leaderboard date: 2026-09-03. Latency in seconds: 3796.855. Cost per task in USD: 0.786639. Source ID: vals-ai. Evidence capture ID: vals-emb-2026-09-04-5d630bb9b3a7. Source payload hash: 5d630bb9b3a7674ec91efa385ebf472ae6d8bb96c8db2fa2dd5af3e813e66155. Parser version: vals-astro-v2. Imported at: 2026-09-04
Finance Agent (v2)
Overall
Higher is better33 modelsKimi K2.5: Rank 32 of 33Data date: September 4, 2026
Scale: 0% - 100%
Methodology and context
- Comparison cohort
- vals-finance-agent-v2:2:overall
- Metric
- accuracy
- Scale
- 0-100
- Participants
- 33
- Methodology and context
- Source model ID: kimi/kimi-k2.5-thinking. Source model name: Kimi K2.5. Evaluator: Vals AI. Dataset type: private. Leaderboard date: 2026-09-03. Latency in seconds: 751.754. Cost per task in USD: 0.294389. Source ID: vals-ai. Evidence capture ID: vals-fabv2-2026-09-04-88f92e979bb6. Source payload hash: 88f92e979bb632f19bdb1ae6ca2768ced7b2b2b915ea3aac1553be06fa197204. Parser version: vals-astro-v2. Imported at: 2026-09-04
GPQA Diamond
Overall
Higher is better54 modelsKimi K2.5: Rank 27 of 54Data date: September 4, 2026
Scale: 0% - 100%
Methodology and context
- Comparison cohort
- vals-gpqa:1:overall
- Metric
- accuracy
- Scale
- 0-100
- Participants
- 54
- Methodology and context
- Source model ID: kimi/kimi-k2.5-thinking. Source model name: Kimi K2.5. Evaluator: Vals AI. Dataset type: public. Leaderboard date: 2026-09-01. Latency in seconds: 151.843. Cost per task in USD: 0.029962. Source ID: vals-ai. Evidence capture ID: vals-gpqa-2026-09-04-fc438726f0d8. Source payload hash: fc438726f0d8523d320f02d75ae372a3fa38b28b36f70fe318d119f55153560d. Parser version: vals-astro-v2. Imported at: 2026-09-04
Legal
2 measurementsHarvey's Legal Agent Benchmark
Overall · Task fully resolved
Higher is better34 modelsKimi K2.5: Rank 26 of 34Data date: September 4, 2026
Scale: 0% - 100%
Methodology and context
- Comparison cohort
- vals-legal-agent-benchmark:1:overall
- Metric
- task resolution rate
- Scale
- 0-100
- Participants
- 34
- Methodology and context
- Source model ID: kimi/kimi-k2.5-thinking. Source model name: Kimi K2.5. Evaluator: Vals AI. Dataset type: public. Leaderboard date: 2026-09-03. Latency in seconds: 1508.281. Cost per task in USD: 0.351359. Source ID: vals-ai. Evidence capture ID: vals-hlab-2026-09-04-211eab6c865f. Source payload hash: 211eab6c865f7c6808000150de043c5f65dd420c200156b06c68b58057fbd685. Parser version: vals-astro-v2. Imported at: 2026-09-04
Legal Research Bench
Overall · All-pass
Higher is better33 modelsKimi K2.5: Rank 25 of 33Data date: September 4, 2026
Scale: 0% - 100%
Methodology and context
- Comparison cohort
- vals-legal-research:1:overall
- Metric
- all-pass rate
- Scale
- 0-100
- Participants
- 33
- Methodology and context
- Source model ID: kimi/kimi-k2.5-thinking. Source model name: Kimi K2.5. Evaluator: Vals AI. Dataset type: private. Leaderboard date: 2026-09-03. Latency in seconds: 1332.514. Cost per task in USD: 0.23035. Source ID: vals-ai. Evidence capture ID: vals-legal_research-2026-09-04-80d740c3f3ef. Source payload hash: 80d740c3f3ef5ee9176f2a9280a1825407c4fa31cdf19be9b448989fcb3ee859. Parser version: vals-astro-v2. Imported at: 2026-09-04
Health
3 measurementsMedCode
Overall
Higher is better40 modelsKimi K2.5: Rank 32 of 40Data date: September 4, 2026
Scale: 0% - 100%
Methodology and context
- Comparison cohort
- vals-medcode:1:overall
- Metric
- accuracy
- Scale
- 0-100
- Participants
- 40
- Methodology and context
- Source model ID: kimi/kimi-k2.5-thinking. Source model name: Kimi K2.5. Evaluator: Vals AI. Dataset type: private. Leaderboard date: 2026-09-03. Latency in seconds: 75.452. Cost per task in USD: 0.017275. Source ID: vals-ai. Evidence capture ID: vals-medcode-2026-09-04-c44942e3604f. Source payload hash: c44942e3604fa8eca13f660a1551cfa5ea9bbf9c67af141f41601402afceb569. Parser version: vals-astro-v2. Imported at: 2026-09-04
MedQA
Overall
Higher is better27 modelsKimi K2.5: Rank 10 of 27Data date: September 4, 2026
Scale: 0% - 100%
Methodology and context
- Comparison cohort
- vals-medqa:1:overall
- Metric
- accuracy
- Scale
- 0-100
- Participants
- 27
- Methodology and context
- Source model ID: kimi/kimi-k2.5-thinking. Source model name: Kimi K2.5. Evaluator: Vals AI. Dataset type: public. Leaderboard date: 2026-04-16. Latency in seconds: 41.628. Cost per task in USD: 0.006992. Source ID: vals-ai. Evidence capture ID: vals-medqa-2026-09-04-de083a524dbf. Source payload hash: de083a524dbf0fa1c2da5cf0a06bd001693d2426690681ffac4cd93ccf3fbeba. Parser version: vals-astro-v2. Imported at: 2026-09-04
MedScribe
Overall
Higher is better41 modelsKimi K2.5: Rank 27 of 41Data date: September 4, 2026
Scale: 0% - 100%
Methodology and context
- Comparison cohort
- vals-medscribe:1:overall
- Metric
- accuracy
- Scale
- 0-100
- Participants
- 41
- Methodology and context
- Source model ID: kimi/kimi-k2.5-thinking. Source model name: Kimi K2.5. Evaluator: Vals AI. Dataset type: private. Leaderboard date: 2026-09-03. Latency in seconds: 147.155. Cost per task in USD: 0.02489. Source ID: vals-ai. Evidence capture ID: vals-medscribe-2026-09-04-c86df6ced023. Source payload hash: c86df6ced023af4a251d97cf5f91df5f06151cd899b2529a2256d12e0656995a. 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
- 6.962
- Score
- 6.962
- 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-k2.5-thinking. Source model name: Kimi K2.5. Evaluator: Vals AI. Dataset type: private. Leaderboard date: 2026-09-03. Latency in seconds: 3820.711. Cost per task in USD: 0.926909. 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
CorpFin v2: Overall (Show measurement, test conditions, and source)
- Source value
- 68.259
- Score
- 68.259
- Metric
- accuracy
- Unit
- %
- Benchmark version
- 2
- Category
- finance
- Task
- overall
- Task label
- Overall
- Direction
- Higher is better
- Comparison cohort
- vals-corp-fin-v2:2:overall
- Source type
- independent-evaluator
- Evaluator
- Vals AI
- Status
- active
- Retrieved at
- 2026-09-04
- Methodology
- Source model ID: kimi/kimi-k2.5-thinking. Source model name: Kimi K2.5. Evaluator: Vals AI. Dataset type: private. Leaderboard date: 2026-08-12. Latency in seconds: 80.779. Cost per task in USD: 0.052412. Source ID: vals-ai. Evidence capture ID: vals-corp_fin_v2-2026-09-04-46dad6684551. Source payload hash: 46dad668455190ee4239b7c743d00d81c6fd3127e0d87123c518ec107c13b44d. Parser version: vals-astro-v2. Imported at: 2026-09-04
EMB: Overall (Show measurement, test conditions, and source)
- Source value
- 28.469
- Score
- 28.469
- Metric
- accuracy
- Unit
- %
- Benchmark version
- 1
- Category
- finance
- Task
- overall
- Task label
- Overall
- Direction
- Higher is better
- Comparison cohort
- vals-emb:1:overall
- Source type
- independent-evaluator
- Evaluator
- Vals AI
- Status
- active
- Retrieved at
- 2026-09-04
- Methodology
- Source model ID: kimi/kimi-k2.5-thinking. Source model name: Kimi K2.5. Evaluator: Vals AI. Dataset type: private. Leaderboard date: 2026-09-03. Latency in seconds: 3796.855. Cost per task in USD: 0.786639. Source ID: vals-ai. Evidence capture ID: vals-emb-2026-09-04-5d630bb9b3a7. Source payload hash: 5d630bb9b3a7674ec91efa385ebf472ae6d8bb96c8db2fa2dd5af3e813e66155. Parser version: vals-astro-v2. Imported at: 2026-09-04
Finance Agent (v2): Overall (Show measurement, test conditions, and source)
- Source value
- 35.792
- Score
- 35.792
- Metric
- accuracy
- Unit
- %
- Benchmark version
- 2
- Category
- finance
- Task
- overall
- Task label
- Overall
- Direction
- Higher is better
- Comparison cohort
- vals-finance-agent-v2:2:overall
- Source type
- independent-evaluator
- Evaluator
- Vals AI
- Status
- active
- Retrieved at
- 2026-09-04
- Methodology
- Source model ID: kimi/kimi-k2.5-thinking. Source model name: Kimi K2.5. Evaluator: Vals AI. Dataset type: private. Leaderboard date: 2026-09-03. Latency in seconds: 751.754. Cost per task in USD: 0.294389. Source ID: vals-ai. Evidence capture ID: vals-fabv2-2026-09-04-88f92e979bb6. Source payload hash: 88f92e979bb632f19bdb1ae6ca2768ced7b2b2b915ea3aac1553be06fa197204. Parser version: vals-astro-v2. Imported at: 2026-09-04
GPQA Diamond: Overall (Show measurement, test conditions, and source)
- Source value
- 84.091
- Score
- 84.091
- Metric
- accuracy
- Unit
- %
- Benchmark version
- 1
- Category
- reasoning
- Task
- overall
- Task label
- Overall
- Direction
- Higher is better
- Comparison cohort
- vals-gpqa:1:overall
- Source type
- independent-evaluator
- Evaluator
- Vals AI
- Status
- active
- Retrieved at
- 2026-09-04
- Methodology
- Source model ID: kimi/kimi-k2.5-thinking. Source model name: Kimi K2.5. Evaluator: Vals AI. Dataset type: public. Leaderboard date: 2026-09-01. Latency in seconds: 151.843. Cost per task in USD: 0.029962. Source ID: vals-ai. Evidence capture ID: vals-gpqa-2026-09-04-fc438726f0d8. Source payload hash: fc438726f0d8523d320f02d75ae372a3fa38b28b36f70fe318d119f55153560d. Parser version: vals-astro-v2. Imported at: 2026-09-04
IOI: Overall (Show measurement, test conditions, and source)
- Source value
- 17.667
- Score
- 17.667
- Metric
- accuracy
- Unit
- %
- Benchmark version
- 1
- Category
- coding
- Task
- overall
- Task label
- Overall
- Direction
- Higher is better
- Comparison cohort
- vals-ioi:1:overall
- Source type
- independent-evaluator
- Evaluator
- Vals AI
- Status
- active
- Retrieved at
- 2026-09-04
- Methodology
- Source model ID: kimi/kimi-k2.5-thinking. Source model name: Kimi K2.5. Evaluator: Vals AI. Dataset type: public. Leaderboard date: 2026-08-09. Latency in seconds: 3828.386. Cost per task in USD: 0.677261. Source ID: vals-ai. Evidence capture ID: vals-ioi-2026-09-04-c6f99e8d7130. Source payload hash: c6f99e8d713092dbfdc9cbcfd6b376fbb7209970714528eab31f6b541d90f20c. Parser version: vals-astro-v2. Imported at: 2026-09-04
LiveCodeBench v6: Overall (Show measurement, test conditions, and source)
- Source value
- 83.868
- Score
- 83.868
- 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-k2.5-thinking. Source model name: Kimi K2.5. Evaluator: Vals AI. Dataset type: public. Leaderboard date: 2026-09-01. Latency in seconds: 200.023. Cost per task in USD: 0.038656. 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
Harvey's Legal Agent Benchmark: Overall · Task fully resolved (Show measurement, test conditions, and source)
- Source value
- 0
- Score
- 0
- Metric
- task resolution rate
- Unit
- %
- Benchmark version
- 1
- Category
- legal
- Task
- overall
- Task label
- Overall · Task fully resolved
- Direction
- Higher is better
- Comparison cohort
- vals-legal-agent-benchmark:1:overall
- Source type
- independent-evaluator
- Evaluator
- Vals AI
- Status
- active
- Retrieved at
- 2026-09-04
- Methodology
- Source model ID: kimi/kimi-k2.5-thinking. Source model name: Kimi K2.5. Evaluator: Vals AI. Dataset type: public. Leaderboard date: 2026-09-03. Latency in seconds: 1508.281. Cost per task in USD: 0.351359. Source ID: vals-ai. Evidence capture ID: vals-hlab-2026-09-04-211eab6c865f. Source payload hash: 211eab6c865f7c6808000150de043c5f65dd420c200156b06c68b58057fbd685. Parser version: vals-astro-v2. Imported at: 2026-09-04
Legal Research Bench: Overall · All-pass (Show measurement, test conditions, and source)
- Source value
- 15.865
- Score
- 15.865
- Metric
- all-pass rate
- Unit
- %
- Benchmark version
- 1
- Category
- legal
- Task
- overall
- Task label
- Overall · All-pass
- Direction
- Higher is better
- Comparison cohort
- vals-legal-research:1:overall
- Source type
- independent-evaluator
- Evaluator
- Vals AI
- Status
- active
- Retrieved at
- 2026-09-04
- Methodology
- Source model ID: kimi/kimi-k2.5-thinking. Source model name: Kimi K2.5. Evaluator: Vals AI. Dataset type: private. Leaderboard date: 2026-09-03. Latency in seconds: 1332.514. Cost per task in USD: 0.23035. Source ID: vals-ai. Evidence capture ID: vals-legal_research-2026-09-04-80d740c3f3ef. Source payload hash: 80d740c3f3ef5ee9176f2a9280a1825407c4fa31cdf19be9b448989fcb3ee859. Parser version: vals-astro-v2. Imported at: 2026-09-04
MedCode: Overall (Show measurement, test conditions, and source)
- Source value
- 39.316
- Score
- 39.316
- Metric
- accuracy
- Unit
- %
- Benchmark version
- 1
- Category
- health
- Task
- overall
- Task label
- Overall
- Direction
- Higher is better
- Comparison cohort
- vals-medcode:1:overall
- Source type
- independent-evaluator
- Evaluator
- Vals AI
- Status
- active
- Retrieved at
- 2026-09-04
- Methodology
- Source model ID: kimi/kimi-k2.5-thinking. Source model name: Kimi K2.5. Evaluator: Vals AI. Dataset type: private. Leaderboard date: 2026-09-03. Latency in seconds: 75.452. Cost per task in USD: 0.017275. Source ID: vals-ai. Evidence capture ID: vals-medcode-2026-09-04-c44942e3604f. Source payload hash: c44942e3604fa8eca13f660a1551cfa5ea9bbf9c67af141f41601402afceb569. Parser version: vals-astro-v2. Imported at: 2026-09-04
MedQA: Overall (Show measurement, test conditions, and source)
- Source value
- 94.367
- Score
- 94.367
- Metric
- accuracy
- Unit
- %
- Benchmark version
- 1
- Category
- health
- Task
- overall
- Task label
- Overall
- Direction
- Higher is better
- Comparison cohort
- vals-medqa:1:overall
- Source type
- independent-evaluator
- Evaluator
- Vals AI
- Status
- active
- Retrieved at
- 2026-09-04
- Methodology
- Source model ID: kimi/kimi-k2.5-thinking. Source model name: Kimi K2.5. Evaluator: Vals AI. Dataset type: public. Leaderboard date: 2026-04-16. Latency in seconds: 41.628. Cost per task in USD: 0.006992. Source ID: vals-ai. Evidence capture ID: vals-medqa-2026-09-04-de083a524dbf. Source payload hash: de083a524dbf0fa1c2da5cf0a06bd001693d2426690681ffac4cd93ccf3fbeba. Parser version: vals-astro-v2. Imported at: 2026-09-04
MedScribe: Overall (Show measurement, test conditions, and source)
- Source value
- 76.442
- Score
- 76.442
- Metric
- accuracy
- Unit
- %
- Benchmark version
- 1
- Category
- health
- Task
- overall
- Task label
- Overall
- Direction
- Higher is better
- Comparison cohort
- vals-medscribe:1:overall
- Source type
- independent-evaluator
- Evaluator
- Vals AI
- Status
- active
- Retrieved at
- 2026-09-04
- Methodology
- Source model ID: kimi/kimi-k2.5-thinking. Source model name: Kimi K2.5. Evaluator: Vals AI. Dataset type: private. Leaderboard date: 2026-09-03. Latency in seconds: 147.155. Cost per task in USD: 0.02489. Source ID: vals-ai. Evidence capture ID: vals-medscribe-2026-09-04-c86df6ced023. Source payload hash: c86df6ced023af4a251d97cf5f91df5f06151cd899b2529a2256d12e0656995a. 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
- Input
- Text, Image, Video (Video is experimental and supported by the official API.)Source
- Output
- TextSource
- Reasoning mode
- YesSource
- Tool calling
- YesSource
- Availability
- First-party Kimi API retired 2026-08-31. (Released weights and third-party provider availability are separate from the first-party API lifecycle.)Source
Pricing
Published prices
Prices apply to the stated unit. Resolution, output length, and provider can change the cost.
Cost example
100 API requests
$0.1575
100 requests with 1,000 input and 500 output tokens each calculate to $0.1575. Input accounts for $0.045; output accounts for $0.1125.
- Input price
- $0.45 / 1M tokensBase tier for each request
- Output price
- $2.25 / 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.
- 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. 3 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 September 4, 2026)Source
- Vals AI (retrieved September 4, 2026)Source
- Vals AI (retrieved September 4, 2026)Source
- Vals AI (retrieved September 4, 2026)Source
- Vals AI (retrieved September 4, 2026)Source
- Vals AI (retrieved September 4, 2026)Source
- Vals AI (retrieved September 4, 2026)Source
- Vals AI (retrieved September 4, 2026)Source
- Vals AI (retrieved September 4, 2026)Source
- Vals AI (retrieved September 4, 2026)Source
- Vals AI (retrieved September 4, 2026)Source
- Vals AI (retrieved September 4, 2026)Source
- Vals AI (retrieved September 4, 2026)Source
- Vals AI (retrieved September 4, 2026)Source
- Vals AI (retrieved September 4, 2026)Source
- Vals AI (retrieved September 4, 2026)Source
- Vals AI (retrieved September 4, 2026)Source
- Vals AI (retrieved September 4, 2026)Source
- Vals AI (retrieved September 4, 2026)Source
- Vals AI (retrieved September 4, 2026)Source
- Vals AI (retrieved September 4, 2026)Source
- Vals AI (retrieved September 4, 2026)Source
- Vals AI (retrieved September 4, 2026)Source
- Vals AI (retrieved September 4, 2026)Source
- Kimi K2.5 model card (retrieved September 8, 2026)Source
- Artificial Analysis (retrieved September 8, 2026)Source
- Model metadata (retrieved September 8, 2026)Source