Kimi K2 Thinking is Moonshot AI's most advanced open-source inference model to date, extending the K2 series into intelligent agent and long-context inference domains. The model is built on the trillion-parameter mixture of experts (MoE) architecture introduced by Kimi K2, activating 32 billion parameters per forward pass and supporting a context window of 256,000 tokens.
Pricing
- Input Tokens: $0.548 /M tokens
- Output Tokens: $2.192 /M tokens
- Cache Read: $0.137 /M tokens
Input Modalities
- Text
Output Modalities
- Text
Context length
- 262K tokens
Max output
- 262K 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
Azure azure-kimi-k2-thinking
Pricing$0.6$2.5002
Context256K
Max output256K
Latency2.4S
Throughput110.9TPS
Uptime
100.00% uptime 2 days ago
100.00% uptime yesterday
0.00% uptime today
Performance for kimi-k2-thinking
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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Throughput
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Try this model
Python