kimi-k2-instruct-0905
Groq · chat model
kimi-k2-instruct-0905 is listed here as a chat model from Groq. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
$1.0000 / 1M tokens
Output
$3.0000 / 1M tokens
Cached input
$0.5000 / 1M tokens
Context
16.4K
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 | $1.0000 / 1M tokens |
| Output | $3.0000 / 1M tokens |
| Cached input | $0.5000 / 1M tokens |
| Embedding | $1.0000 / 1M tokens |
Token limits
Context window
16.4K
Max input tokens
262.1K
Max output tokens
16.4K
Max tokens
16.4K
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-0905 Groq | In $1.0000 / 1M tokens Out $3.0000 / 1M tokens |
Output: unknown | Function callingTool choiceResponse schema | 16.4K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| kimi-k2-instruct fireworks_ai | In $0.6000 / 1M tokens Out $2.5000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 16.4K | Partial I/O overlap Overall 55% |
| llama-v3p1-405b-instruct fireworks_ai | In $3.0000 / 1M tokens Out $3.0000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 16.4K | Partial I/O overlap Overall 54% |
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Output: text | Function callingTool choiceResponse schema | 16.4K | Partial I/O overlap Overall 50% |
| kimi-k2-instruct-0905 fireworks_ai | In $0.6000 / 1M tokens Out $2.5000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 32.8K | Partial I/O overlap Overall 47% |
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No models match this filter.