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Kimi-K2.5

Together AI · chat model

Kimi-K2.5 is listed here as a chat model from Together AI. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.

Input
$0.5000 / 1M tokens
Output
$2.8000 / 1M tokens
Cached input
N/A
Context
256.0K
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
$0.5000 / 1M tokens
Output
$2.8000 / 1M tokens
Embedding
$0.5000 / 1M tokens

Token limits

Context window
256.0K
Max input tokens
256.0K
Max output tokens
256.0K
Max tokens
256.0K

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 —

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
Together AI
In $0.5000 / 1M tokens
Out $2.8000 / 1M tokens
imagetext
Output: text
VisionFunction callingTool choiceReasoning
256.0K
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
Text + image covered
Overall 89%
kimi-k2.5
azure_ai
In $0.6000 / 1M tokens
Out $3.0000 / 1M tokens
imagetext
Output: text
VisionFunction callingTool choice
262.1K
Text + image covered
Overall 87%
moonshotai.kimi-k2.5
Bedrock
In $0.6000 / 1M tokens
Out $3.0000 / 1M tokens
imagetext
Output: text
VisionFunction callingTool choice
262.1K
Text + image covered
Overall 87%
moonshotai.kimi-k2.5
Bedrock
In $0.6000 / 1M tokens
Out $3.0000 / 1M tokens
imagetext
Output: text
VisionFunction callingTool choice
262.1K
Text + image covered
Overall 87%
moonshotai.kimi-k2.5
Bedrock
In $0.6000 / 1M tokens
Out $3.0000 / 1M tokens
imagetext
Output: text
VisionFunction callingTool choice
262.1K
Text + image covered
Overall 87%
kimi-k2.5
OpenRouter
In $0.6000 / 1M tokens
Out $3.0000 / 1M tokens
imagetext
Output: text
VisionFunction callingTool choice
262.1K
Text + image covered
Overall 87%
qwen3.5-plus-02-15
OpenRouter
In $0.4000 / 1M tokens
Out $2.4000 / 1M tokens
imagetext video
Output: text
VisionFunction callingTool choiceReasoning
65.5K
Text + image covered
Overall 77%
qwen3.5-397b-a17b
OpenRouter
In $0.6000 / 1M tokens
Out $3.6000 / 1M tokens
imagetext video
Output: text
VisionFunction callingTool choiceReasoning
65.5K
Text + image covered
Overall 77%
qwen3.5-122b-a10b
OpenRouter
In $0.4000 / 1M tokens
Out $2.0000 / 1M tokens
imagetext video
Output: text
VisionFunction callingTool choiceReasoning
65.5K
Text + image covered
Overall 76%
qwen3.5-27b
OpenRouter
In $0.3000 / 1M tokens
Out $2.4000 / 1M tokens
imagetext video
Output: text
VisionFunction callingTool choiceReasoning
65.5K
Text + image covered
Overall 76%
qwen3.6-plus
OpenRouter
In $0.3250 / 1M tokens
Out $1.9500 / 1M tokens
imagetext video
Output: text
VisionFunction callingTool choiceReasoning
65.5K
Text + image covered
Overall 74%
gpt-5.1-codex-max
OpenRouter
In $1.2500 / 1M tokens
Out $10.0000 / 1M tokens
imagetext
Output: text
VisionFunction callingTool choiceReasoning
128.0K
Text + image covered
Overall 74%
qwen3.5-35b-a3b
OpenRouter
In $0.2500 / 1M tokens
Out $2.0000 / 1M tokens
imagetext video
Output: text
VisionFunction callingTool choiceReasoning
65.5K
Text + image covered
Overall 73%
anthropic.claude-mythos-preview
Bedrock
In N/A
Out N/A
imagetext
Output: text
VisionFunction callingTool choiceReasoning
128.0K
Text + image covered
Overall 73%
free
OpenRouter
In N/A
Out N/A
imagetext
Output: text
VisionFunction callingTool choiceReasoning
200.0K
Text + image covered
Overall 72%
GLM-4.6
Together AI
In $0.6000 / 1M tokens
Out $2.2000 / 1M tokens
imagetext
Output: text
Function callingTool choiceReasoning
200.0K
Same provider
Overall 71%
Missing image
GLM-4.7
Together AI
In $0.4500 / 1M tokens
Out $2.0000 / 1M tokens
imagetext
Output: text
Function callingTool choiceReasoning
200.0K
Same provider
Overall 71%
Missing image
qwen.qwen3-vl-235b-a22b
bedrock_converse
In $0.5300 / 1M tokens
Out $2.6600 / 1M tokens
imagetext
Output: text
VisionFunction calling
8.2K
Text + image covered
Overall 69%
grok-4.20-0309-reasoning
xai
In $2.0000 / 1M tokens
Out $6.0000 / 1M tokens
imagetext
Output: text
VisionFunction callingTool choiceReasoning
2.0M
Text + image covered
Overall 69%
Llama-3.2-90B-Vision-Instruct
azure_ai
In $2.0400 / 1M tokens
Out $2.0400 / 1M tokens
imagetext
Output: text
VisionFunction callingTool choice
2.0K
Text + image covered
Overall 69%
Llama-3.2-11B-Vision-Instruct
azure_ai
In $0.3700 / 1M tokens
Out $0.3700 / 1M tokens
imagetext
Output: text
VisionFunction callingTool choice
2.0K
Text + image covered
Overall 67%
Qwen3.5-397B-A17B
Together AI
In $0.6000 / 1M tokens
Out $3.6000 / 1M tokens
imagetext
Output: text
Function callingTool choice
N/A
Same provider
Overall 64%
DeepSeek-V3.1
Together AI
In $0.6000 / 1M tokens
Out $1.7000 / 1M tokens
imagetext
Output: text
Function callingTool choiceReasoning
16.4K
Same provider
Overall 58%
Missing image
Llama-4-Maverick-17B-128E-Instruct-FP8
Together AI
In $0.2700 / 1M tokens
Out $0.8500 / 1M tokens
imagetext
Output: text
Function callingTool choice
N/A
Same provider
Overall 57%
Llama-4-Scout-17B-16E-Instruct
Together AI
In $0.1800 / 1M tokens
Out $0.5900 / 1M tokens
imagetext
Output: text
Function callingTool choice
N/A
Same provider
Overall 54%
llama-3-70b
replicate
In $0.6500 / 1M tokens
Out $2.7500 / 1M tokens
imagetext
Output: text
Tool choice
8.2K
Partial I/O overlap
Overall 52%
Missing image
llama-3-70b-instruct
replicate
In $0.6500 / 1M tokens
Out $2.7500 / 1M tokens
imagetext
Output: text
Tool choice
8.2K
Partial I/O overlap
Overall 52%
Missing image
llama-2-70b
replicate
In $0.6500 / 1M tokens
Out $2.7500 / 1M tokens
imagetext
Output: text
Tool choice
4.1K
Partial I/O overlap
Overall 52%
Missing image
llama-2-70b-chat
replicate
In $0.6500 / 1M tokens
Out $2.7500 / 1M tokens
imagetext
Output: text
Tool choice
4.1K
Partial I/O overlap
Overall 52%
Missing image
apac.amazon.nova-2-lite-v1:0
bedrock_converse
In $0.3300 / 1M tokens
Out $2.7500 / 1M tokens
imagetext pdf
Output: unknown
VisionFunction callingReasoning
64.0K
Partial I/O overlap
Overall 30%
Missing text, image