LLM Pricing
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kimi-k2.5

moonshot · chat model

kimi-k2.5 is listed here as a chat model from moonshot. 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
$3.0000 / 1M tokens
Cached input
$0.1000 / 1M tokens
Context
262.1K
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 benchmark family Review source-backed benchmark rows for the attached base model family. 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
$0.6000 / 1M tokens
Output
$3.0000 / 1M tokens
Cached input
$0.1000 / 1M tokens
Embedding
$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 ✅
Function calling ✅
Parallel function calling —
Tool choice ✅
Prompt caching —
Reasoning ✅
Response schema —
System messages —
Audio input —
Audio output —
Web search —
PDF input —
Video input ✅

Benchmarks

Most benchmark rows are attached to the base model family rather than this provider route. Open benchmark explorer

Benchmark Score Metric Scope Checked Source
GPQA Diamond 87.6 Score Base model: Kimi-K2.5 (Kimi-K2.5) 2026-05-31 Link
LiveCodeBench v6 85.0 Pass@1 Base model: Kimi-K2.5 (Kimi-K2.5) 2026-05-31 Link
SWE-bench Pro 50.7 score Base model: Kimi-K2.5 (Kimi-K2.5) 2026-05-31 Link
SWE-bench Verified 70.8 * score Base model: Kimi-K2.5 (Kimi-K2.5) 2026-05-31 Link
Terminal-Bench 2.0 43.2 * score Base model: Kimi-K2.5 (Kimi-K2.5) 2026-05-31 Link
Apex Agents 14.4 * score Base model: Kimi-K2.5 (Kimi-K2.5) 2026-05-31 Link
Artificial Analysis Intelligence Index 46.8 score Base model: kimi-k2.5 (moonshotai/kimi-k2.5) 2026-05-31 Link
Artificial Analysis Coding Index 39.6 score Base model: kimi-k2.5 (moonshotai/kimi-k2.5) 2026-05-31 Link
Artificial Analysis Agentic Index 58.9 score Base model: kimi-k2.5 (moonshotai/kimi-k2.5) 2026-05-31 Link

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-k2.5
moonshot
In $0.6000 / 1M tokens
Out $3.0000 / 1M tokens
Output: unknown
VisionFunction callingTool choiceReasoning
262.1K
Current model
Reference row

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

Model Cost Input shape Features Context Why it is close
moonshotai.kimi-k2.5
Bedrock
In $0.6000 / 1M tokens
Out $3.0300 / 1M tokens
imagetext
Output: text
VisionFunction callingTool choiceReasoning
262.1K
Partial I/O overlap
Overall 56%
kimi-k2.5
azure_ai
In $0.6000 / 1M tokens
Out $3.0000 / 1M tokens
imagetext
Output: text
VisionFunction callingTool choiceVideo input
262.1K
Partial I/O overlap
Overall 55%
kimi-k2.5
OpenRouter
In $0.6000 / 1M tokens
Out $3.0000 / 1M tokens
imagetext
Output: text
VisionFunction callingTool choiceVideo input
262.1K
Partial I/O overlap
Overall 55%
kimi-k2.6
moonshot
In $0.9500 / 1M tokens
Out $4.0000 / 1M tokens
Output: unknown
VisionFunction callingTool choiceReasoning
262.1K
Same provider
Overall 54%
Kimi-K2.5
Together AI
In $0.5000 / 1M tokens
Out $2.8000 / 1M tokens
imagetext
Output: text
VisionFunction callingTool choiceReasoning
256.0K
Partial I/O overlap
Overall 52%
moonshotai.kimi-k2.5
Bedrock
In $0.6000 / 1M tokens
Out $3.0000 / 1M tokens
imagetext
Output: text
VisionFunction callingTool choice
262.1K
Partial I/O overlap
Overall 48%
moonshotai.kimi-k2.5
Bedrock
In $0.6000 / 1M tokens
Out $3.0000 / 1M tokens
imagetext
Output: text
VisionFunction callingTool choice
262.1K
Partial I/O overlap
Overall 48%
moonshotai.kimi-k2.5
Bedrock
In $0.6000 / 1M tokens
Out $3.0000 / 1M tokens
imagetext
Output: text
VisionFunction callingTool choice
262.1K
Partial I/O overlap
Overall 48%
kimi-k2-thinking
moonshot
In $0.6000 / 1M tokens
Out $2.5000 / 1M tokens
Output: unknown
Function callingTool choiceReasoning
262.1K
Same provider
Overall 46%
kimi-k2p5
fireworks_ai
In $0.6000 / 1M tokens
Out $3.0000 / 1M tokens
imagetext
Output: text
Function callingTool choice
262.1K
Partial I/O overlap
Overall 43%
kimi-k2p5
fireworks_ai
In $0.6000 / 1M tokens
Out $3.0000 / 1M tokens
imagetext
Output: text
Function callingTool choice
262.1K
Partial I/O overlap
Overall 43%
qwen3.5-397b-a17b
OpenRouter
In $0.6000 / 1M tokens
Out $3.6000 / 1M tokens
imagetext
Output: text
VisionFunction callingTool choiceReasoning
65.5K
Partial I/O overlap
Overall 42%
kimi-k2-0905-preview
moonshot
In $0.6000 / 1M tokens
Out $2.5000 / 1M tokens
Output: unknown
Function callingTool choice
262.1K
Same provider
Overall 42%
kimi-k2-thinking-turbo
moonshot
In $1.1500 / 1M tokens
Out $8.0000 / 1M tokens
Output: unknown
Function callingTool choiceReasoning
262.1K
Same provider
Overall 36%
qwen3-vl-235b-a22b-thinking
dashscope
In $0.4000 / 1M tokens
Out $4.0000 / 1M tokens
Output: unknown
VisionFunction callingTool choiceReasoning
32.8K
Partial I/O overlap
Overall 36%
qwen3-vl-32b-thinking
dashscope
In $0.1600 / 1M tokens
Out $2.8700 / 1M tokens
Output: unknown
VisionFunction callingTool choiceReasoning
32.8K
Partial I/O overlap
Overall 35%
kimi-k2-0711-preview
moonshot
In $0.6000 / 1M tokens
Out $2.5000 / 1M tokens
Output: unknown
Function callingTool choice
131.1K
Same provider
Overall 34%
kimi-latest-32k
moonshot
In $1.0000 / 1M tokens
Out $3.0000 / 1M tokens
Output: unknown
VisionFunction callingTool choice
32.8K
Same provider
Overall 33%
anthropic.claude-mythos-preview
Bedrock
In N/A
Out N/A
imagetext
Output: text
VisionFunction callingTool choiceReasoning
128.0K
Partial I/O overlap
Overall 27%