Moonshot · Open weights
Kimi K2.5 Thinking
Kimi K2.5 with thinking mode enabled. Built on Kimi K2 with ~15T mixed visual and text tokens, it excels at general reasoning, visual coding, and agentic tool-calling. Produces reasoning traces for complex multi-step workflows.
- Reasoning
- Tools
- Vision
- Parallel tools
- 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)
- 2.4K tokens
- Longer than 93% of 473 models
Side by side
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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
- #10Vision Style Control · Captioning1198.0
- #9Vision Style Control · Entity Recognition1232.3
Ranks among Noumen catalog models on LMArena leaderboards. Only top-20 placements are listed.LMArena
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
- 45.9 tok/s
- Faster than 34% of 256 models
- Time to first token
- 1.7 s
- Quicker than 80% of 256 models
- Prompt cache hits
- 58.2%
- About $0.20 per 1M input tokens with caching
- Request success (24h)
- 99.5%
- 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:thinking",
"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:thinking",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)Moonshot
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