Kimi K3
Moonshot AIKey kimi-k3Also reported as moonshotai/kimi-k3, alibaba/kimi-k3, combo/kimi-k3, kimi/kimi-k3, cline-pass/kimi-k3, merius/moonshotai/kimi-k3, hf:moonshotai/kimi-k3, modal/kimi-k3, inferhub/kimi-k3, aihubmix/kimi-k3, fact/kimi-k3, sk/kimi-k3, cline-free/kimi-k3, moonshot/kimi-k3, cb/kimi-k3, newapi/kimi-k3, ali/kimi-k3, synthetic/hf:moonshotai/kimi-k3, openrouter/kimi-k3, cline/kimi-k3
- Rank
- #32
- by active users
- Active users
- 57
- Down 47 from 104 active users in the previous 30 days. vs previous 30 days
- Adoption
- 6.0%
- of 956 accounts
- Tokens
- 5.8B
- cache included
- Est. cost
- $1.7K
- at public list prices
- First seen
- Jun 13, 2026
- in any submission
Oct 15 – Nov 13, 2026 (UTC)956 accounts100% of tokens from an identified modelData through Nov 13, 2026, 01:06 UTCHow we count
Daily active users
Distinct accounts that used this model on each UTC day.
1 active users on Nov 13, 2026
Show daily values
| Date (UTC) | Active users | Tokens |
|---|---|---|
| Oct 15, 2026 | 11 | 377.5M |
| Oct 16, 2026 | 11 | 1.1B |
| Oct 17, 2026 | 7 | 1.3B |
| Oct 18, 2026 | 10 | 115.1M |
| Oct 19, 2026 | 5 | 13.3M |
| Oct 20, 2026 | 9 | 119.1M |
| Oct 21, 2026 | 10 | 196.7M |
| Oct 22, 2026 | 10 | 163M |
| Oct 23, 2026 | 6 | 19.4M |
| Oct 24, 2026 | 4 | 60.2M |
| Oct 25, 2026 | 4 | 599.5M |
| Oct 26, 2026 | 5 | 600.7M |
| Oct 27, 2026 | 7 | 312.2M |
| Oct 28, 2026 | 5 | 285.7M |
| Oct 29, 2026 | 5 | 118.2M |
| Oct 30, 2026 | 1 | 990K |
| Oct 31, 2026 | 8 | 4.5M |
| Nov 1, 2026 | 3 | 4.8M |
| Nov 2, 2026 | 5 | 83.9M |
| Nov 3, 2026 | 6 | 111.6M |
| Nov 4, 2026 | 4 | 235.8M |
| Nov 5, 2026 | 1 | 124K |
| Nov 6, 2026 | 3 | 8.8M |
| Nov 7, 2026 | 2 | 978K |
| Nov 8, 2026 | 2 | 9.7M |
| Nov 9, 2026 | 3 | 18.1M |
| Nov 10, 2026 | 2 | 4.6M |
| Nov 11, 2026 | 1 | 238K |
| Nov 12, 2026 | 2 | 2.3M |
| Nov 13, 2026 | 1 | 426K |
Token mix
How the 5.8B tokens split. Cache reads are usually most of an agent's tokens and are priced far below input.
- Input4.3%
- Output0.3%
- Cache read95%
- Cache write0.7%
- Reasoning<0.1%
Agents that carry Kimi K3
Each agent's share of this model's tokens, and how many accounts used the model through it.
Oh My Pi34% of this model's tokens7active users
Claude Code33% of this model's tokens11active users
Droid15% of this model's tokens5active users
Senpi (OmO Native)7.1% of this model's tokens7active users
Kimi3.6% of this model's tokens4active users
Pi2.5% of this model's tokens9active users
Hermes Agent1.9% of this model's tokens3active users
OpenCode1.8% of this model's tokens16active users
Codex CLI0.8% of this model's tokens4active users
WorkBuddy0.6% of this model's tokens1active users
Amp<0.1% of this model's tokens1active users
DeepSeek Harness<0.1% of this model's tokens2active users
Cline<0.1% of this model's tokens1active users
Reasonix<0.1% of this model's tokens1active users- cc-mirror/curl<0.1% of this model's tokens1active users
- cc-mirror/python-urllib<0.1% of this model's tokens1active users
- cc-mirror/mozilla<0.1% of this model's tokens1active users
Benchmarks
The best result for Kimi K3 in each benchmark Tokscale tracks. Each benchmark has its own unit, run conditions and source, so compare a score only with other models on the same benchmark. Rank is among the models Tokscale matched in that benchmark.
- Epoch Capabilities IndexOverall · Epoch AI158.6
Epoch Capabilities Index: 158.6
- Model
- Kimi K3
- Listed as
- Kimi K3
- Conditions
- Not reported
- Interval
- 156.6–160.8
- Unit
- ECI
- Model released
- Jul 16, 2026
- Retrieved
- Nov 12, 2026
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
Rank #24 of 158 matched modelsNo conditions reportedModel released Jul 16, 2026Source: epoch.ai (opens in a new tab) - DeepSWEAgentic coding · Datacurve, collected by Epoch AI68.5%
DeepSWE: 68.5%
- Model
- Kimi K3
- Listed as
- kimi-k3 (max)
- Conditions
- Max · mini-swe-agent
- Interval
- 64.0–73.1%
- Unit
- pass@1
- Model released
- Jul 16, 2026
- Retrieved
- Nov 12, 2026
Source · DeepSWE results by Datacurve, collected by Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
Rank #8 of 26 matched modelsMax · mini-swe-agentModel released Jul 16, 2026Source: deepswe.datacurve.ai (opens in a new tab) - FrontierSWEAgentic coding · FrontierSWE, collected by Epoch AI25.9%
FrontierSWE: 25.9%
- Model
- Kimi K3
- Listed as
- Kimi K3
- Conditions
- Max · proximus
- Unit
- mean@5
- Model released
- Jul 16, 2026
- Retrieved
- Nov 12, 2026
Source · FrontierSWE results, collected by Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
Rank #14 of 23 matched modelsMax · proximusModel released Jul 16, 2026Source: frontierswe.com (opens in a new tab) - WebDev ArenaWeb development · LMArena1,655
WebDev Arena: 1,655
- Model
- Kimi K3
- Listed as
- Kimi K3 (Max)
- Conditions
- Max
- Interval
- 1649–1661
- Unit
- Arena score
- Published
- Oct 19, 2026
- Retrieved
- Oct 21, 2026
Source · LMArena leaderboard dataset (lmarena-ai/leaderboard-dataset on Hugging Face), CC BY 4.0
- Agent ArenaAgents · LMArena+0.02
Agent Arena: +0.02
- Model
- Kimi K3
- Listed as
- Kimi K3 (Max)
- Conditions
- Max · Arena Agent Mode
- Interval
- 0.01 to 0.03
- Unit
- net improvement
- Published
- Oct 19, 2026
- Retrieved
- Oct 21, 2026
Source · LMArena leaderboard dataset (lmarena-ai/leaderboard-dataset on Hugging Face), CC BY 4.0
Rank #23 of 48 matched modelsMax · Arena Agent ModePublished Oct 19, 2026Source: huggingface.co (opens in a new tab) - GPQA DiamondReasoning · Epoch AI93.1%
GPQA Diamond: 93.1%
- Model
- Kimi K3
- Listed as
- kimi-k3_max
- Conditions
- Max
- Unit
- % correct
- Run date
- Jul 16, 2026
- Retrieved
- Nov 12, 2026
Best of 3 reported results for this model.
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
Near its ceiling: the top score is 96.5%, and Epoch AI estimates the reachable maximum at 97%. Differences between top models are small.
Show 2 more results with other run conditionsHide the other results
- Listed as kimi-k3_high91.9%
GPQA Diamond: 91.9%
- Model
- Kimi K3
- Listed as
- kimi-k3_high
- Conditions
- High
- Unit
- % correct
- Run date
- Aug 7, 2026
- Retrieved
- Nov 12, 2026
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
- Listed as kimi-k3_low84.8%
GPQA Diamond: 84.8%
- Model
- Kimi K3
- Listed as
- kimi-k3_low
- Conditions
- Low
- Unit
- % correct
- Run date
- Aug 7, 2026
- Retrieved
- Nov 12, 2026
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
- FrontierMath Tiers 1–3 (v2)Reasoning · Epoch AI72.2%
FrontierMath Tiers 1–3 (v2): 72.2%
- Model
- Kimi K3
- Listed as
- kimi-k3_max
- Conditions
- Max
- Unit
- % solved
- Run date
- Jul 17, 2026
- Retrieved
- Nov 12, 2026
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
Near its ceiling: the top score is 95.1%, and Epoch AI estimates the reachable maximum at 95%. Differences between top models are small.
- SimpleQA VerifiedKnowledge · Epoch AI50.6%
SimpleQA Verified: 50.6%
- Model
- Kimi K3
- Listed as
- kimi-k3_max
- Conditions
- Max
- Unit
- % correct
- Run date
- Aug 27, 2026
- Retrieved
- Nov 12, 2026
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
Pricing
List prices from models.dev in US dollars per 1M tokens, retrieved Nov 12, 2026. Moonshot AI is the lab's own API and the reference price for the estimates below.
Price at real agent usageEstimate at list prices
What 1M tokens cost at the reference list price when they split into input, output and cache the way Tokscale users' agents used them. It is not what anyone paid.
- At this model's mix
- $0.49
- Est. per 1M tokens
95% cache reads - At the community mix
- $0.45
- Est. per 1M tokens
96% cache reads - 3:1 input/output blend
- $6
- Per 1M tokens at list prices
No cache
Cache reads were 95% of Kimi K3 tokens in the last 30 days and 96% of all tokens. The 3:1 blend, (3 × input + output) ÷ 4, is the usual comparison and ignores cache.
Assumptions
- Moonshot AI list prices per 1M tokens: input $3, output $15, cache read $0.30, cache write $3.
- This model's mix is its own input, output, cache and reasoning tokens in the last 30 days.
- The community mix is the tokens of every identified model in the last 30 days.
- This is an estimate at list prices, not what anyone paid.
- Reasoning tokens are priced as output.
- Long-context tiers, batch pricing and discounts are not applied.
- Token mixes come from public Tokscale submissions. Hidden accounts are excluded.
List prices by provider
- Moonshot AIReference
kimi-k3$3 input per 1M tokens$15 output per 1M tokens$0.30 cache read per 1M tokens$3 cache write per 1M tokens1.05M tokens of context - Amazon Bedrock
us.moonshotai.kimi-k3$3.30 input per 1M tokens$16.50 output per 1M tokens$0.33 cache read per 1M tokens$4.13 cache write per 1M tokens1.05M tokens of context - OpenRouter
moonshotai/kimi-k3$0.19 input per 1M tokens$16 output per 1M tokens$0.18 cache read per 1M tokensCache write not listed1.05M tokens of context - Vercel AI Gateway
moonshotai/kimi-k3$3 input per 1M tokens$15 output per 1M tokens$0.30 cache read per 1M tokensCache write not listed1M tokens of context
Show 4 more providersShow fewer providers
- Together AI
moonshotai/Kimi-K3$3 input per 1M tokens$15 output per 1M tokens$0.30 cache read per 1M tokensCache write not listed1.05M tokens of context - Fireworks AI
accounts/fireworks/models/kimi-k3$3 input per 1M tokens$15 output per 1M tokens$0.30 cache read per 1M tokensCache write not listed1.05M tokens of context - Deep Infra
moonshotai/Kimi-K3$2.85 input per 1M tokens$14.25 output per 1M tokens$0.28 cache read per 1M tokens$3.56 cache write per 1M tokens1.05M tokens of context - Baseten
moonshotai/Kimi-K3$3 input per 1M tokens$15 output per 1M tokens$0.30 cache read per 1M tokensCache write not listed1.05M tokens of context
Specs
From models.dev (MIT), retrieved Nov 12, 2026, as the lab or the first listed provider reports them. A dash means models.dev does not list the value.
- Context window
- 1.05M tokens
- Max output
- 1.05M tokens
- Input
- Text, Image, Video
- Output
- Text
- Knowledge cutoff
- — not listed
- Release date
- Jul 16, 2026
- Open weights
- Yes
- Reasoning
- Yes
- Tool calling
- Yes
Top public profiles
Public profiles that used Kimi K3 most in this period, by tokens. Hidden accounts are never listed.
- 1
Woonggi Min@minpeter2Btokens—est. cost8active daysno price · 8 active days
- 2
Maple Gao@MapleEve995.4Mtokens$462est. cost6active days$462 est. cost · 6 active days
- 3
midego@midego1570.5Mtokens$107est. cost1active days$107 est. cost · 1 active days
- 4
Christopher Butler@techsaint409Mtokens$349est. cost17active days$349 est. cost · 17 active days
- 5
Miguel Rasero@miguelrisero395.9Mtokens$256est. cost11active days$256 est. cost · 11 active days
- 6
Code_G@codeg-dev311.6Mtokens$124est. cost2active days$124 est. cost · 2 active days
- 7
lnex@lnexenl181.3Mtokens$83est. cost4active days$83 est. cost · 4 active days
- 8
wifibaby4u@junit161Mtokens—est. cost2active daysno price · 2 active days
- 9
Sunghyun Cho@anaclumos110.4Mtokens$43est. cost2active days$43 est. cost · 2 active days
- 10
大鹏@KongValley102.1Mtokens$14est. cost3active days$14 est. cost · 3 active days
More from Moonshot AI
Other Moonshot AI models in the same period, by active users.
- Kimi K3.1 Pro4.4% adoption42active users
- Kimi K2.7 Code1.8% adoption17active users
- Kimi For Coding1.4% adoption13active users
- Kimi K3 10.7% adoption7active users
- Kimi K3 Max0.4% adoption4active users
- Kimi For Coding Highspeed0.4% adoption4active users
Sources and attribution
Each score keeps its own source, unit and run conditions. Tokscale does not combine benchmarks into one score, and a missing score means the model was not evaluated, not that it scored zero.