LLM Pricing
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Kimi-K2.5

wandb · chat model

Kimi-K2.5 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
$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
wandb
In $0.6000 / 1M tokens
Out $3.0000 / 1M tokens
Output: unknown
VisionFunction callingReasoningResponse schema
262.1K
Current model
Reference row

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

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 callingReasoning
262.1K
Partial I/O overlap
Overall 48%
Kimi-K2.5
Together AI
In $0.5000 / 1M tokens
Out $2.8000 / 1M tokens
imagetext
Output: text
VisionFunction callingReasoning
256.0K
Partial I/O overlap
Overall 47%
moonshotai.kimi-k2-thinking
Bedrock
In $0.7100 / 1M tokens
Out $2.9400 / 1M tokens
imagetext
Output: text
Function callingReasoning
262.1K
Partial I/O overlap
Overall 46%
moonshotai.kimi-k2-thinking
Bedrock
In $0.7300 / 1M tokens
Out $3.0300 / 1M tokens
text
Output: text
Function callingReasoning
262.1K
Partial I/O overlap
Overall 46%
moonshotai.kimi-k2-thinking
Bedrock
In $0.7300 / 1M tokens
Out $3.0300 / 1M tokens
imagetext
Output: text
Function callingReasoning
262.1K
Partial I/O overlap
Overall 46%
moonshotai.kimi-k2-thinking
Bedrock
In $0.7300 / 1M tokens
Out $3.0300 / 1M tokens
text
Output: text
Function callingReasoning
262.1K
Partial I/O overlap
Overall 46%
kimi-k2p5
fireworks_ai
In $0.6000 / 1M tokens
Out $3.0000 / 1M tokens
imagetext
Output: text
Function callingResponse schema
262.1K
Partial I/O overlap
Overall 45%
kimi-k2p5
fireworks_ai
In $0.6000 / 1M tokens
Out $3.0000 / 1M tokens
imagetext
Output: text
Function callingResponse schema
262.1K
Partial I/O overlap
Overall 45%
kimi-k2.5
azure_ai
In $0.6000 / 1M tokens
Out $3.0000 / 1M tokens
imagetext
Output: text
VisionFunction calling
262.1K
Partial I/O overlap
Overall 43%
moonshotai.kimi-k2.5
Bedrock
In $0.6000 / 1M tokens
Out $3.0000 / 1M tokens
imagetext
Output: text
VisionFunction calling
262.1K
Partial I/O overlap
Overall 43%
moonshotai.kimi-k2.5
Bedrock
In $0.6000 / 1M tokens
Out $3.0000 / 1M tokens
imagetext
Output: text
VisionFunction calling
262.1K
Partial I/O overlap
Overall 43%
moonshotai.kimi-k2.5
Bedrock
In $0.6000 / 1M tokens
Out $3.0000 / 1M tokens
imagetext
Output: text
VisionFunction calling
262.1K
Partial I/O overlap
Overall 43%
MiniMax-M2.5
wandb
In $0.3000 / 1M tokens
Out $1.2000 / 1M tokens
Output: unknown
Function callingReasoningResponse schema
197.0K
Same provider
Overall 39%
nova-pro
vercel_ai_gateway
In $0.8000 / 1M tokens
Out $3.2000 / 1M tokens
imagetext
Output: text
VisionFunction callingResponse schema
8.2K
Partial I/O overlap
Overall 36%
free
OpenRouter
In N/A
Out N/A
imagetext
Output: text
VisionFunction callingReasoningResponse schema
200.0K
Partial I/O overlap
Overall 31%
google.gemini-2.5-pro
oci
In $1.2500 / 1M tokens
Out $10.0000 / 1M tokens
Output: unknown
VisionFunction callingResponse schema
65.5K
Partial I/O overlap
Overall 30%
google.gemini-2.5-flash
oci
In $0.1500 / 1M tokens
Out $0.6000 / 1M tokens
Output: unknown
VisionFunction callingResponse schema
65.5K
Partial I/O overlap
Overall 27%
Kimi-K2-Instruct
wandb
In $0.6000 / 1M tokens
Out $2.5000 / 1M tokens
Output: unknown
Low overlap
128.0K
Same provider
Overall 25%
google.gemini-2.5-flash-lite
oci
In $0.0750 / 1M tokens
Out $0.3000 / 1M tokens
Output: unknown
VisionFunction callingResponse schema
65.5K
Partial I/O overlap
Overall 25%
qwen3-vl-8b
llamagate
In $0.1500 / 1M tokens
Out $0.5500 / 1M tokens
Output: unknown
VisionFunction callingResponse schema
8.2K
Partial I/O overlap
Overall 23%
nova-lite
vercel_ai_gateway
In $0.0600 / 1M tokens
Out $0.2400 / 1M tokens
imagetext
Output: text
VisionFunction callingResponse schema
8.2K
Partial I/O overlap
Overall 21%
Qwen3-235B-A22B-Instruct-2507
wandb
In $10000.0000 / 1M tokens
Out $10000.0000 / 1M tokens
Output: unknown
Low overlap
262.1K
Same provider
Overall 15%
Qwen3-235B-A22B-Thinking-2507
wandb
In $10000.0000 / 1M tokens
Out $10000.0000 / 1M tokens
Output: unknown
Low overlap
262.1K
Same provider
Overall 15%
Qwen3-Coder-480B-A35B-Instruct
wandb
In $100000.0000 / 1M tokens
Out $150000.0000 / 1M tokens
Output: unknown
Low overlap
262.1K
Same provider
Overall 15%
DeepSeek-V3-0324
wandb
In $114000.0000 / 1M tokens
Out $275000.0000 / 1M tokens
Output: unknown
Low overlap
161.0K
Same provider
Overall 9%