LLM Pricing
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kimi-k2-instruct

novita · chat model

kimi-k2-instruct is listed here as a chat model from novita. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.

Input
$0.5700 / 1M tokens
Output
$2.3000 / 1M tokens
Cached input
N/A
Context
131.1K
Compare similar models Open a side-by-side table using this route and the closest match from the current catalog. Estimate workload cost Use token counts, request volume, and cache assumptions to check a realistic monthly bill. Explore benchmarks Review benchmark rows by family and benchmark label without cross-benchmark ranking. Check data sources See how pricing data is generated and what still needs provider verification.

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
$0.5700 / 1M tokens
Output
$2.3000 / 1M tokens
Embedding
$0.5700 / 1M tokens

Token limits

Context window
131.1K
Max input tokens
131.1K
Max output tokens
131.1K
Max tokens
131.1K

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

Docs

Official docs

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
novita
In $0.5700 / 1M tokens
Out $2.3000 / 1M tokens
text
Output: text
Function callingParallel function callingTool choiceResponse schema
131.1K
Current model
Reference row

Overall blends cost, modality overlap, capabilities, and context.

Model Cost Input shape Features Context Why it is close
glm-4.6
novita
In $0.5500 / 1M tokens
Out $2.2000 / 1M tokens
text
Output: text
Function callingParallel function callingTool choiceResponse schema
131.1K
Same provider
Overall 95%
glm-4.7
novita
In $0.6000 / 1M tokens
Out $2.2000 / 1M tokens
text
Output: text
Function callingParallel function callingTool choiceResponse schema
131.1K
Same provider
Overall 95%
kimi-k2-0905
novita
In $0.6000 / 1M tokens
Out $2.5000 / 1M tokens
text
Output: text
Function callingParallel function callingTool choiceResponse schema
262.1K
Same provider
Overall 91%
minimax-m2.1
novita
In $0.3000 / 1M tokens
Out $1.2000 / 1M tokens
text
Output: text
Function callingParallel function callingTool choiceResponse schema
131.1K
Same provider
Overall 90%
kat-coder-pro
novita
In $0.3000 / 1M tokens
Out $1.2000 / 1M tokens
text
Output: text
Function callingParallel function callingTool choiceResponse schema
128.0K
Same provider
Overall 90%
kimi-k2-thinking
novita
In $0.6000 / 1M tokens
Out $2.5000 / 1M tokens
text
Output: text
Function callingParallel function callingTool choiceResponse schema
262.1K
Same provider
Overall 87%
deepseek-v3-0324
novita
In $0.2700 / 1M tokens
Out $1.1200 / 1M tokens
text
Output: text
Function callingParallel function callingTool choiceResponse schema
163.8K
Same provider
Overall 87%
qwen3-coder-480b-a35b-instruct
novita
In $0.3000 / 1M tokens
Out $1.3000 / 1M tokens
text
Output: text
Function callingParallel function callingTool choiceResponse schema
65.5K
Same provider
Overall 83%
glm-4p7
fireworks_ai
In $0.6000 / 1M tokens
Out $2.2000 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
202.8K
Text covered
Overall 81%
glm-4p7
fireworks_ai
In $0.6000 / 1M tokens
Out $2.2000 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
202.8K
Text covered
Overall 81%
minimax-m1-80k
novita
In $0.5500 / 1M tokens
Out $2.2000 / 1M tokens
text
Output: text
Function callingParallel function callingTool choiceSystem messages
40.0K
Same provider
Overall 80%
qwen3-next-80b-a3b-instruct
novita
In $0.1500 / 1M tokens
Out $1.5000 / 1M tokens
text
Output: text
Function callingParallel function callingTool choiceResponse schema
32.8K
Same provider
Overall 78%
qwen3-max
novita
In $2.1100 / 1M tokens
Out $8.4500 / 1M tokens
text
Output: text
Function callingParallel function callingTool choiceResponse schema
65.5K
Same provider
Overall 78%
kimi-k2
vercel_ai_gateway
In $0.5500 / 1M tokens
Out $2.2000 / 1M tokens
text
Output: text
Function callingTool choice
16.4K
Text covered
Overall 71%
GLM-4.7
baseten
In $0.6000 / 1M tokens
Out $2.2000 / 1M tokens
text
Output: unknown
Low overlap
N/A
Partial I/O overlap
Overall 19%
Missing text