Kimi-K2 is a MoE architecture foundational model with extremely powerful coding and agent capabilities, featuring a total of 1 trillion parameters and activating 32 billion parameters. In benchmark performance tests across major categories such as general knowledge reasoning, programming, mathematics, and agents, the K2 model outperforms other mainstream open-source models.
The Kimi-K2 model supports a context length of 128k tokens.
It does not support visual capabilities.
Pricing
- Input Tokens: $0.540 /M tokens
- Output Tokens: $2.160 /M tokens
Input Modalities
- Text
Output Modalities
- Text
Capabilities
- Tools
- Tool calling
- Structured outputs
Providers
Baidu kimi-k2-instruct
Pricing$0.540$2.160
Context128K
Max output32K
Latency0.8S
Throughput50.2TPS
Uptime
0.00% uptime 3 days ago
0.00% uptime 2 days ago
0.00% uptime yesterday
Moonshot kimi-k2-0711-preview
Pricing$0.620$2.480
Context131K
Max output131K
Latency2.5S
Throughput23.9TPS
Uptime
0.00% uptime 3 days ago
0.00% uptime 2 days ago
0.00% uptime yesterday
Performance for kimi-k2-0711
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
