Kimi K3 is Kimi’s flagship model for long-horizon coding and end-to-end knowledge work, with a 1M-token context window and industry-leading intelligence.
Pricing
- Input Tokens: $3.000 /M tokens
- Output Tokens: $15.000 /M tokens
- Cache Read: $0.300 /M tokens
Input Modalities
- Text
- Vision
- Video
Output Modalities
- Text
Context length
- 1.05M tokens
Max output
- 1.05M tokens
Capabilities
- Thinking
- Streaming
- Tool calling
- Web search
- URL context
- Code interpreter
- Computer use
- File search
- Memory tool
- Structured outputs
- Citations
- Prompt caching
- Background mode
- Server-side sessions
Providers
Baidu baidu-kimi-k3
Pricing$2.840$14.200
Cache$0.284
Context1M
Max output1M
Latency8.8S
Throughput18.9TPS
Uptime
99.97% uptime 2 days ago
99.97% uptime yesterday
96.66% uptime today
Deepinfra deepinfra-kimi-k3
Pricing$3.135$15.675
Cache$0.314
Context1M
Max output1M
Latency5.5S
Throughput12.3TPS
Uptime
100.00% uptime 2 days ago
97.44% uptime yesterday
97.06% uptime today
Moonshot moonshot-kimi-k3
Pricing$3.000$15.000
Cache$0.300
Context1M
Max output1M
Latency25.1S
Throughput63.2TPS
Uptime
100.00% uptime 2 days ago
100.00% uptime yesterday
100.00% uptime today
Fireworks fireworks-kimi-k3
Pricing$3.000$12.000
Cache$0.591
Context512K
Max output512K
Latency0.9S
Throughput73.1TPS
Uptime
0.00% uptime 2 days ago
0.00% uptime yesterday
0.00% uptime today
Performance for kimi-k3
Uptime is the percentage of requests that succeeded over the past 72 hours. AIHubMix continuously monitors every provider and automatically retries with the next-best provider when one returns an error or responds too slowly; Latency is total round-trip time (lower is better); Throughput is how fast the model writes (tokens per second, higher is better).
Uptime
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Latency
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Try this model
Python
