Moonshot · Frontier
Kimi Latest
Always points to the newest recommended Kimi model, currently Kimi K3.1 Pro. Reasoning is always enabled. Select Kimi K3 explicitly to retain its checkpoint and pricing; K3.1 Pro Highspeed is available separately.
- Reasoning
- Tools
- Vision
- Structured output
- Video input
- Input
- Text, Images, Video
- Output
- Text
- Reasoning effort
- low · high · max
- Discovery tier
- Frontier
Pricing
USD per 1M tokens- Input
- $2.00
- Output
- $10.00
- Cache read
- $0.20
- Cache write
- $2.00
- $4.00 for a 1-hour cache
Reference prices as published by the model provider. API example
Specifications
- Context window
- 1M
- Max output
- —
Side by side
Kimi Latest compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| Kimi LatestMoonshotThis model | Kimi K2.6MoonshotRemove | |
|---|---|---|
| Provider | Moonshot | Moonshot |
| Discovery tier | Frontier | Open weights |
| Added | May 3, 2026 | Apr 16, 2026 |
| Limits | ||
| Context window | 1.05MBest | 262.14K |
| Max output | — | 65.54K |
| Average output | — | 594 tokens |
| Pricing, USD per 1M tokens | ||
| Input | $2.00 | $0.45Best |
| Output | $10.00 | $1.89Best |
| Cache read | $0.20 | $0.0757Best |
| Cache write | $2.00 | — |
| Performance | ||
| Throughput | 59.7 tok/sBest | 46.6 tok/s |
| Time to first token | 5.6 s | 2.7 sBest |
| Request success (24h) | 83.5% | 99.7%Best |
| Benchmark indexes | ||
| Intelligence Index | 55.1Best | 27.0 |
| Coding Index | — | 61.8 |
| Capabilities | ||
| Reasoning | Yes | No |
| Tools | Yes | Yes |
| Vision | Yes | Yes |
| Structured output | Yes | No |
| Video input | Yes | No |
| Reasoning effort | low, high, max | — |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- Kimi Latest
- Kimi K2.6
Intelligence Index
- Kimi Latest55.1
- Kimi K2.627.0
Kimi Latest: Better than 99% of 326 scored models
Indexes
Coding Index
Composite of the coding evaluations
- Kimi Latest: —
- Kimi K2.6: 61.8
Agentic work
AutomationBench-AA
Workflow automation, penalized for guardrail violations
- Kimi Latest: 73.3%Top
- Kimi K2.6: 13.0%
AutomationBench-AA tasks completed
Workflows finished end to end without a guardrail violation
- Kimi Latest: 46.0%Top
- Kimi K2.6: 1.8%
AA-Briefcasev1.1
Agentic knowledge work, rated head to head
- Kimi Latest: 1,678 EloTop
- Kimi K2.6: 819 Elo
GDPval-AAv2.1
Economically valuable occupational tasks, rated head to head
- Kimi Latest: 1,846 EloTop
- Kimi K2.6: 1,038 Elo
Document reasoning
GDP.pdf
Professional reasoning over PDF documents, all-pass rate
- Kimi Latest: 31.4%Top
- Kimi K2.6: 13.0%
AA-LCRv1.1
Reasoning across long documents
- Kimi Latest: 86.3%Top
- Kimi K2.6: 81.0%
MLCR-AA
Long-context reasoning over medical records
- Kimi Latest: —
- Kimi K2.6: 11.1%
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- Kimi Latest: 52.5%Top
- Kimi K2.6: 37.5%
GPQA Diamond
Graduate-level science questions
- Kimi Latest: —
- Kimi K2.6: 91.1%
IFBench
Following precise output instructions
- Kimi Latest: —
- Kimi K2.6: 76.0%
Coding
Terminal-Benchv4.0
Practical software engineering in a terminal
- Kimi Latest: 67.2%Top
- Kimi K2.6: 0.5%
SciCode
Scientific computing in Python
- Kimi Latest: 60.8%Top
- Kimi K2.6: 51.5%
Legacy evaluations
Terminal-Bench Hard
Earlier terminal task suite
- Kimi Latest: —
- Kimi K2.6: 43.9%
τ²-Bench Telecom
Tool use in a customer-support simulation
- Kimi Latest: —
- Kimi K2.6: 95.9%
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- Kimi Latest: 86.3%Top
- Kimi K2.6: 81.0%
Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis
- Kimi Latest
- Kimi K2.6
| Leaderboard | Kimi Latest | Kimi K2.6 |
|---|---|---|
| FrontierMath v2 (Tiers 1–3) | Not in top 20 | #8 · 57.2% |
| SWE-bench Verified | Not in top 20 | #5 · 76.7% |
| GPQA Diamond | Not in top 20 | #9 · 90.8% |
Ranks among Noumen catalog models on Epoch AI leaderboards. Only top-20 placements are listed.Epoch AI
- Kimi Latest
- Kimi K2.6
| Leaderboard | Kimi Latest | Kimi K2.6 |
|---|---|---|
| EQ-Bench 4 | Not in top 20 | #20 · 1194 |
| Longform Writing | Not in top 20 | #19 · 78.5 |
| EQ-Bench 3 | Not in top 20 | #10 · 1548 |
Ranks among Noumen catalog models on EQ-Bench leaderboards. Only top-20 placements are listed.EQ-Bench
- Kimi Latest
- Kimi K2.6
| Leaderboard | Kimi Latest | Kimi K2.6 |
|---|---|---|
| Agentic Game Dev | Not in top 20 | #17 · 1105 |
| Native Apps | Not in top 20 | #16 · 1163 |
Ranks among Noumen catalog models on Design Arena leaderboards. Only top-20 placements are listed.Design Arena
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
- 59.7 tok/s
- Faster than 41% of 250 models
- Time to first token
- 5.6 s
- Quicker than 29% of 250 models
- Prompt cache hits
- 96.7%
- About $0.26 per 1M input tokens with caching
- Request success (24h)
- 83.5%
- Unstable
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-latest",
"reasoning_effort": "low",
"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-latest",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)Moonshot
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