Kimi-K2.5
Together AI · chat model
Input
$0.5000 / 1M tokens
Output
$2.8000 / 1M tokens
Cached input
N/A
Context
256.0K
Pricing
| Item | Raw value (per token) | Normalized |
|---|---|---|
| Input | 5e-7 | $0.5000 / 1M tokens |
| Output | 0.0000028 | $2.8000 / 1M tokens |
| Embedding | 5e-7 | $0.5000 / 1M tokens |
Token limits
Context window
256.0K
Max input tokens
256.0K
Max output tokens
256.0K
Max tokens
256.0K
Capabilities
| Capability | Supported |
|---|---|
| Vision | Yes |
| Function calling | Yes |
| Parallel function calling | No |
| Tool choice | Yes |
| Prompt caching | No |
| Reasoning | Yes |
| Response schema | No |
| System messages | No |
| 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 |
|---|---|---|---|---|---|---|
| qwen.qwen3-vl-235b-a22b | bedrock_converse | $0.5300 / 1M tokens | $2.6600 / 1M tokens | 8.2K | N/A | Vision Tools |
| llama-2-70b | replicate | $0.6500 / 1M tokens | $2.7500 / 1M tokens | 4.1K | N/A | |
| llama-2-70b-chat | replicate | $0.6500 / 1M tokens | $2.7500 / 1M tokens | 4.1K | N/A | |
| llama-3-70b | replicate | $0.6500 / 1M tokens | $2.7500 / 1M tokens | 8.2K | N/A | |
| llama-3-70b-instruct | replicate | $0.6500 / 1M tokens | $2.7500 / 1M tokens | 8.2K | N/A | |
| apac.amazon.nova-2-lite-v1:0 | bedrock_converse | $0.3300 / 1M tokens | $2.7500 / 1M tokens | 64.0K | N/A | Vision Tools Cache Reasoning |
Sources
| Pricing source | LiteLLM model cost map |
| Synced at | 2026-05-27 |
| Manual review | Not reviewed |
Raw LiteLLM fields
{
"input_cost_per_token": 5e-7,
"litellm_provider": "together_ai",
"max_input_tokens": 256000,
"max_output_tokens": 256000,
"max_tokens": 256000,
"mode": "chat",
"output_cost_per_token": 0.0000028,
"source": "https://www.together.ai/models/kimi-k2-5",
"supports_function_calling": true,
"supports_tool_choice": true,
"supports_vision": true,
"supports_reasoning": true
}