kimi-k2-0905
novita · chat model
Input
$0.6000 / 1M tokens
Output
$2.5000 / 1M tokens
Cached input
N/A
Context
262.1K
Pricing
| Item | Raw value (per token) | Normalized |
|---|---|---|
| Input | 6e-7 | $0.6000 / 1M tokens |
| Output | 0.0000025 | $2.5000 / 1M tokens |
| Embedding | 6e-7 | $0.6000 / 1M tokens |
Token limits
Context window
262.1K
Max input tokens
262.1K
Max output tokens
262.1K
Max tokens
262.1K
Capabilities
| Capability | Supported |
|---|---|
| Vision | No |
| Function calling | Yes |
| Parallel function calling | Yes |
| Tool choice | Yes |
| Prompt caching | No |
| Reasoning | No |
| Response schema | Yes |
| System messages | Yes |
| Audio input | No |
| Audio output | No |
| Web search | No |
| PDF input | No |
| Video input | No |
Similar models
Models with comparable pricing in the same mode (chat).
| Model | Provider | Input | Output | Context | Coding | Features |
|---|---|---|---|---|---|---|
| moonshotai.kimi-k2-thinking | Bedrock | $0.6000 / 1M tokens | $2.5000 / 1M tokens | 262.1K | N/A | Tools Reasoning |
| moonshotai.kimi-k2-thinking | Bedrock | $0.6000 / 1M tokens | $2.5000 / 1M tokens | 262.1K | N/A | Tools Reasoning |
| moonshotai.kimi-k2-thinking | Bedrock | $0.6000 / 1M tokens | $2.5000 / 1M tokens | 262.1K | N/A | Tools Reasoning |
| kimi-k2-instruct | fireworks_ai | $0.6000 / 1M tokens | $2.5000 / 1M tokens | 16.4K | N/A | Tools |
| kimi-k2-instruct-0905 | fireworks_ai | $0.6000 / 1M tokens | $2.5000 / 1M tokens | 32.8K | N/A | Tools |
| kimi-k2-thinking | fireworks_ai | $0.6000 / 1M tokens | $2.5000 / 1M tokens | 262.1K | N/A | Tools |
Sources
| Pricing source | LiteLLM model cost map |
| Synced at | 2026-05-27 |
| Manual review | Not reviewed |
Raw LiteLLM fields
{
"litellm_provider": "novita",
"mode": "chat",
"input_cost_per_token": 6e-7,
"output_cost_per_token": 0.0000025,
"max_input_tokens": 262144,
"max_output_tokens": 262144,
"max_tokens": 262144,
"supports_function_calling": true,
"supports_parallel_function_calling": true,
"supports_tool_choice": true,
"supports_system_messages": true,
"supports_response_schema": true
}