Kimi-K2-Instruct
wandb · chat model
Kimi-K2-Instruct is listed here as a chat model from wandb. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
$0.6000 / 1M tokens
Output
$2.5000 / 1M tokens
Cached input
N/A
Context
128.0K
Quick read
Best for
Use this page when you need a fast view of cost, context size, and supported features before testing the model in your own workload.
Things to verify
Always check the provider page for discounts, cache pricing, region rules, and any model limits that may not appear in public metadata.
Pricing
| Item | Price |
|---|---|
| Input | $0.6000 / 1M tokens |
| Output | $2.5000 / 1M tokens |
| Embedding | $0.6000 / 1M tokens |
Token limits
Context window
128.0K
Max input tokens
128.0K
Max output tokens
128.0K
Max tokens
128.0K
Capabilities
| Capability | Supported |
|---|---|
| Vision | — |
| Function calling | — |
| Parallel function calling | — |
| Tool choice | — |
| Prompt caching | — |
| Reasoning | — |
| Response schema | — |
| System messages | — |
| Audio input | — |
| Audio output | — |
| Web search | — |
| PDF input | — |
| Video input | — |
Sources
| Source links | |
| Pricing data | LiteLLM model cost map |
| Synced at | 2026-05-28 |
Similar models
This list is ranked by overall similarity. Use filters to emphasize the lens that matters most for the replacement you are making.
Comparing from
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| Kimi-K2-Instruct wandb | In $0.6000 / 1M tokens Out $2.5000 / 1M tokens |
Output: unknown | No public capabilities | 128.0K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| kimi-k2-0711-preview moonshot | In $0.6000 / 1M tokens Out $2.5000 / 1M tokens |
Output: unknown | Low overlap | 131.1K | Partial I/O overlap Overall 35% |
| kimi-thinking-preview moonshot | In $0.6000 / 1M tokens Out $2.5000 / 1M tokens |
Output: unknown | Low overlap | 131.1K | Partial I/O overlap Overall 35% |
| glm-4.7-maas vertex_ai-zai_models | In $0.6000 / 1M tokens Out $2.2000 / 1M tokens |
Output: unknown | Low overlap | 128.0K | Partial I/O overlap Overall 34% |
| zai.glm-4.7 bedrock_converse | In $0.6000 / 1M tokens Out $2.2000 / 1M tokens |
Output: unknown | Low overlap | 128.0K | Partial I/O overlap Overall 34% |
| glm-4.5 vercel_ai_gateway | In $0.6000 / 1M tokens Out $2.2000 / 1M tokens | text
Output: text | Low overlap | 131.1K | Partial I/O overlap Overall 33% |
| glm-4.7 novita | In $0.6000 / 1M tokens Out $2.2000 / 1M tokens | text
Output: text | Low overlap | 131.1K | Partial I/O overlap Overall 33% |
| moonshotai.kimi-k2-thinking Bedrock | In $0.6000 / 1M tokens Out $2.5000 / 1M tokens | text
Output: text | Low overlap | 262.1K | Partial I/O overlap Overall 27% |
| moonshotai.kimi-k2-thinking Bedrock | In $0.6000 / 1M tokens Out $2.5000 / 1M tokens | text
Output: text | Low overlap | 262.1K | Partial I/O overlap Overall 27% |
| moonshotai.kimi-k2-thinking Bedrock | In $0.6000 / 1M tokens Out $2.5000 / 1M tokens | text
Output: text | Low overlap | 262.1K | Partial I/O overlap Overall 27% |
| kimi-k2-thinking fireworks_ai | In $0.6000 / 1M tokens Out $2.5000 / 1M tokens | text
Output: text | Low overlap | 262.1K | Partial I/O overlap Overall 27% |
| Kimi-K2.5 wandb | In $0.6000 / 1M tokens Out $3.0000 / 1M tokens |
Output: unknown | Low overlap | 262.1K | Same provider Overall 25% |
| kimi-k2-instruct-0905 fireworks_ai | In $0.6000 / 1M tokens Out $2.5000 / 1M tokens | text
Output: text | Low overlap | 32.8K | Partial I/O overlap Overall 24% |
| kimi-k2-instruct fireworks_ai | In $0.6000 / 1M tokens Out $2.5000 / 1M tokens | text
Output: text | Low overlap | 16.4K | Partial I/O overlap Overall 22% |
| MiniMax-M2.5 wandb | In $0.3000 / 1M tokens Out $1.2000 / 1M tokens |
Output: unknown | Low overlap | 197.0K | Same provider Overall 20% |
| Llama-3.1-8B-Instruct wandb | In $22000.0000 / 1M tokens Out $22000.0000 / 1M tokens |
Output: unknown | Low overlap | 128.0K | Same provider Overall 15% |
| Phi-4-mini-instruct wandb | In $8000.0000 / 1M tokens Out $35000.0000 / 1M tokens |
Output: unknown | Low overlap | 128.0K | Same provider Overall 15% |
| Llama-3.3-70B-Instruct wandb | In $71000.0000 / 1M tokens Out $71000.0000 / 1M tokens |
Output: unknown | Low overlap | 128.0K | Same provider Overall 15% |
| DeepSeek-V3.1 wandb | In $55000.0000 / 1M tokens Out $165000.0000 / 1M tokens |
Output: unknown | Low overlap | 128.0K | Same provider Overall 15% |
| ai21.jamba-1-5-large-v1:0 Bedrock | In $2.0000 / 1M tokens Out $8.0000 / 1M tokens | text
Output: text | Low overlap | 256.0K | Partial I/O overlap Overall 14% |
| ai21.jamba-1-5-mini-v1:0 Bedrock | In $0.2000 / 1M tokens Out $0.4000 / 1M tokens | text
Output: text | Low overlap | 256.0K | Partial I/O overlap Overall 12% |
| ai21.jamba-instruct-v1:0 Bedrock | In $0.5000 / 1M tokens Out $0.7000 / 1M tokens | text
Output: text | Low overlap | 4.1K | Partial I/O overlap Overall 11% |
| us.writer.palmyra-x4-v1:0 bedrock_converse | In $2.5000 / 1M tokens Out $10.0000 / 1M tokens | pdftext
Output: text | Low overlap | 8.2K | Partial I/O overlap Overall 6% |
| ai21.j2-mid-v1 Bedrock | In $12.5000 / 1M tokens Out $12.5000 / 1M tokens | text
Output: text | Low overlap | 8.2K | Partial I/O overlap Overall 4% |
| ai21.j2-ultra-v1 Bedrock | In $18.8000 / 1M tokens Out $18.8000 / 1M tokens | text
Output: text | Low overlap | 8.2K | Partial I/O overlap Overall 3% |
No models match this filter.