Calculate the cost of using kimi-k2-instruct from Novita for your AI applications
Pricing data last updated:
Mode: Chat
Max: 131,072 tokens
Max: 100,352 tokens
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kimi-k2-instruct is a chat model from Novita, one of 130 chat models they offer. It is priced at $0.57 per 1M input tokens and $2.30 per 1M output tokens, ranking 1741 out of 3501 chat models by cost and cheaper than 50% of models in this category. kimi-k2-instruct supports function calling, structured output. It accepts up to 131K input tokens.
Note: Use the interactive calculator above to estimate costs for your specific usage patterns.
Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 131,072 input tokens. The maximum output length is 100,352 tokens.
At $0.57 per 1M input tokens and $2.30 per 1M output tokens, kimi-k2-instruct ranks 1741 out of 3501 chat models by input cost. It is competitively priced compared to the median of $0.60 for chat models, and is cheaper than 50% of models in this category.
kimi-k2-instruct is one of 130 Novita chat models, with support for function calling, structured output.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs kimi-k2-instruct |
|---|---|---|---|---|
| qwen.qwen3-coder-next | AWS Bedrock | $0.60 | $1.44 | +5% |
| moonshotai.kimi-k2.5 | AWS Bedrock | $0.60 | $3.00 | +5% |
| minimax.minimax-m2.1 | AWS Bedrock | $0.47 | $1.86 | -18% |
Similar chat models from other providers
Yes. kimi-k2-instruct costs $0.57 per 1M input tokens compared to qwen.qwen3-coder-next's $0.60 per 1M input tokens, making it 5% more affordable. Both are chat models and share support for function calling, structured output.
kimi-k2-instruct input pricing is $0.57 per 1M tokens, which is 5% below the median of $0.60 for chat models. It ranks 1741 out of 3501 chat models by input cost, making it cheaper than 50% of models in this category. For output, it costs $2.30 per 1M tokens compared to the median of $1.71.
Among Novita's 130 chat models, kimi-k2-instruct ranks 91 by input cost.
The most comparable chat models to kimi-k2-instruct are: qwen.qwen3-coder-next from AWS Bedrock ($0.60/1M input tokens); moonshotai.kimi-k2.5 from AWS Bedrock ($0.60/1M input tokens); minimax.minimax-m2.1 from AWS Bedrock ($0.47/1M input tokens); minimax.minimax-m2.5 from AWS Bedrock ($0.47/1M input tokens). These alternatives were selected based on similar capabilities, pricing, and provider diversity. You can compare any of these models in detail using the Bifrost Model Library.
kimi-k2-instruct is priced based on input and output tokens. Use the interactive calculator at the top of this page to estimate costs for your specific workload. Enter your expected input and output tokens volume and the calculator will show the total cost breakdown. For reference, processing 1M input tokens costs $0.57 and generating 1M output tokens costs $2.30.