Model summary
IntelligenceUpdated
Speed
Price
Cache Hit Price
Verbosity
Kimi K3 is amongst the leading models in intelligence, but somewhat expensive when comparing to other models of similar price. It's also slower than average and very verbose. The model supports text and image input, outputs text, and has a 1M tokens context window.
Kimi K3 scores 57 on the Artificial Analysis Intelligence Index, placing it well above average among comparable models (averaging 30). When evaluating the Intelligence Index, it generated 130M tokens, which is very verbose in comparison to the average of 63M.
Pricing for Kimi K3 is $3.00 per 1M input tokens (somewhat expensive, average: $1.75) and $15.00 per 1M output tokens (somewhat expensive, average: $8.40). In total, it cost $2690.80 to evaluate Kimi K3 on the Intelligence Index.
At 62 tokens per second, Kimi K3 is slower than average (73).
| Reasoning | Yes This page shows the reasoning version of this model. A non-reasoning variant may also exist. |
|---|---|
| Input modality | Supports: text, image |
| Output modality | Supports: text |
| Context window | 1M ~1573 A4 pages of size 12 Arial font |
Metrics are compared against models of the same class:
- Non-reasoning models → compared only with other non-reasoning models
- Reasoning models → compared across both reasoning and non-reasoning
- Open weights models → compared only with other open weights models of the same size class:
- Tiny: ≤4B parameters
- Small: 4B–40B parameters
- Medium: 40B–150B parameters
- Large: >150B parameters
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Proprietary models → compared across proprietary and open weights models of the same price range, using a blended 3:1 input/output price ratio:
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<$0.15 per 1M tokens
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$0.15–$1 per 1M tokens
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$1 per 1M tokens Highlights
IntelligenceUpdated #
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index by Open Weights / Proprietary
Intelligence Evaluations
Agentic real-world work tasks, (Elo-500)/2000 Agentic tool use
Agentic coding & terminal use
Coding
Reasoning & knowledge
Scientific reasoning
Physics reasoning
Knowledge
1 - hallucination rate
Long context reasoning
AA-BriefcaseNew Agentic knowledge work, Elo
Agentic SaaS workflows
Legal agentic work, task all-pass rate
Agentic business operations
Instruction following
Long-horizon agentic tasks
Kubernetes incident root-cause analysis
Visual reasoning
AA-BriefcaseNew #
AA-Briefcase Elo
AA-Omniscience #
AA-Omniscience Index
Intelligence Index Comparisons #
Intelligence vs. Cost per Intelligence Index Task
Token Use #
Output Tokens per Intelligence Index Task
Price and Cost #
Cost per Intelligence Index Task
Cost to Run Artificial Analysis Intelligence Index
Pricing: Cache Hit, Input, and Output
Context Window #
Context Window
Speed #
Measured by Output Speed (tokens per second)
Output Speed
Time per Intelligence Index Task
Latency #
Measured by Time (seconds) to First Token
Latency: Time To First Answer Token
End-to-End Response Time #
Seconds to output 500 tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed
End-to-End Response Time
Frequently Asked Questions #
Common questions about Kimi K3
Kimi K3 was released on July 16, 2026.
Kimi K3 was created by Kimi.
Kimi K3 scores 57 on the Artificial Analysis Intelligence Index, placing it well above average among other reasoning models in a similar price tier (median: 30).
Kimi K3 generates output at 62.0 tokens per second (based on Kimi's API), which is below average compared to other reasoning models in a similar price tier (median: 72.7 t/s).
Kimi K3 has a time to first token (TTFT) of 1.99s (based on Kimi's API), which is better than average compared to other reasoning models in a similar price tier (median: 2.60s).
Kimi K3 costs $3.00 per 1M input tokens (somewhat higher than average, median: $1.75) and $15.00 per 1M output tokens (somewhat higher than average, median: $8.40), based on Kimi's API.
Kimi K3 costs $3.00 per 1M input tokens and $15.00 per 1M output tokens (based on Kimi's API). For a blended rate (7:2:1 cache hit/input/output ratio), this is $2.31 per 1M tokens. Pricing may vary by provider. Compare provider pricing
When evaluated on the Intelligence Index, Kimi K3 generated 130M output tokens, which is at the higher end compared to other reasoning models in a similar price tier (median: 63M).
Yes, Kimi K3 is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer.
Kimi K3 supports text and image input.
Kimi K3 supports text output.
Yes, Kimi K3 supports image input and can analyze, describe, and answer questions about images.
Yes, Kimi K3 is multimodal. It can process text and image input and generate text output.
Kimi K3 has a context window of 1.0M tokens. This determines how much text and conversation history the model can process in a single request.
No, Kimi K3 is proprietary. The model weights are not publicly available.
Kimi K3 has 2.8 trillion parameters.
Kimi K3 achieves a score of 57 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Yes, Kimi K3 is available via API through 1 provider. Compare API providers
Kimi K3 is available through 1 API provider. Compare providers