Moonshot · Open weights
Kimi K2.5
Kimi K2.5 is Moonshot AI's native multimodal model built on Kimi K2 with ~15T mixed visual and text tokens, delivering strong general reasoning, visual coding, and agentic tool-calling. This route uses instant (non-thinking) mode for faster responses.
- Tools
- Vision
- Input
- Text, Images
- Output
- Text
- Discovery tier
- Open weights
Pricing
USD per 1M tokens- Input
- $0.38
- Output
- $2.00
- Cache read
- $0.07
Reference prices as published by the model provider. API example
Specifications
- Context window
- 262.1K
- Max output
- 65.5K
- Average output (7 days)
- 437 tokens
- Longer than 44% of 473 models
Side by side
Compare models
Put Kimi K2.5 next to up to three other models. The comparison stays in the link, so you can share it.
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
Intelligence Index
23.5
Better than 57% of 326 scored models
Indexes
Coding Index
46.8Composite of the coding evaluations
Better than 44% of 168 scored models
Agentic work
GDPval-AAv2.1
839 EloEconomically valuable occupational tasks, rated head to head
Better than 27% of 187 scored models
Document reasoning
AA-LCRv1.1
78.0%Reasoning across long documents
Better than 65% of 309 scored models
Reasoning and knowledge
Humanity’s Last Exam
30.7%Expert-level questions across academic fields
Better than 64% of 323 scored models
GPQA Diamond
87.9%Graduate-level science questions
Better than 71% of 291 scored models
IFBench
70.2%Following precise output instructions
Better than 72% of 215 scored models
Legacy evaluations
Terminal-Bench Hard
34.8%Earlier terminal task suite
Better than 66% of 212 scored models
τ²-Bench Telecom
95.9%Tool use in a customer-support simulation
Better than 90% of 214 scored models
AA-LCR (unversioned)
78.0%Long-context reasoning, earlier grading
Better than 65% of 309 scored models
Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis
- #10SWE-bench Verified73.8%
Ranks among Noumen catalog models on Epoch AI leaderboards. Only top-20 placements are listed.Epoch AI
- #15EQ-Bench 31530
Ranks among Noumen catalog models on EQ-Bench leaderboards. Only top-20 placements are listed.EQ-Bench
Live routing data
Performance and reliability
Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.
- Throughput
- 89.5 tok/s
- Faster than 58% of 256 models
- Time to first token
- 1.2 s
- Quicker than 92% of 256 models
- Prompt cache hits
- 58.7%
- About $0.20 per 1M input tokens with caching
- Request success (24h)
- 99.9%
- Reliable
Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.
- Healthy (98% or more)
- Degraded (90–98%)
- Down (under 90%)
- No requests
Developers
Use it through the API
Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.
curl https://www.noumen.xyz/api/v1/chat/completions \
-H "Authorization: Bearer $NOUMEN_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "moonshotai/kimi-k2.5",
"messages": [{ "role": "user", "content": "Explain this stack trace." }]
}'import os
from openai import OpenAI
client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
model="moonshotai/kimi-k2.5",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)Moonshot
Related models
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