Kimi K2 Thinking

Kimi K2 Thinking is Moonshot AI’s most advanced open reasoning model to date, extending the K2 series into agentic, long-horizon reasoning. Built on the trillion-parameter Mixture-of-Experts (MoE) architecture introduced in Kimi K2, it activates 32 billion parameters per forward pass and supports 256 k-token context windows. The model is optimized for persistent step-by-step thought, dynamic tool invocation, and complex reasoning workflows that span hundreds of turns. It interleaves step-by-step reasoning with tool use, enabling autonomous research, coding, and writing that can persist for hundreds of sequential actions without drift.

It sets new open-source benchmarks on HLE, BrowseComp, SWE-Multilingual, and LiveCodeBench, while maintaining stable multi-agent behavior through 200–300 tool calls. Built on a large-scale MoE architecture with MuonClip optimization, it combines strong reasoning depth with high inference efficiency for demanding agentic and analytical tasks.

moonshotai/kimi-k2-thinking
Organization
Moonshot AI
Providers
10
Context
262,144
Output limit
262,144
Knowledge
2024-08
Release
2025-11-06
Updated
2025-11-06
Weights
Open
Input
text
Output
text
Capabilities
Tools, Reasoning, Temperature

Providers

Compare every cataloged offer for this model, including its provider, route, token limits, price, and capabilities.

11 offers · USD per million tokens
ProviderModel IDContextOutputInput / output · 1MReasoningToolsStructuredDetails
Amazon Bedrock
moonshot.kimi-k2-thinking
262,14416,000$0.60 / $2.50YesYesYes
View
Charm Hyper
kimi-k2-thinking
262,14426,214$0.60 / $2.50YesYes—
View
DevPass (LLM Gateway)
kimi-k2-thinking
262,144262,144$0.60 / $2.50YesYes—
View
Eden AI
amazon/moonshot.kimi-k2-thinking
256,000262,144$0.60 / $2.50YesYesYes
View
Kilo Gateway
moonshotai/kimi-k2-thinking
262,144235,929$0.60 / $2.50YesYesYes
View
LLM Gateway
vertex-openai/kimi-k2-thinking
262,14432,768$0.60 / $2.50YesYesNo
View
Merge Gateway
moonshotai/kimi-k2-thinking
262,144262,144$0.60 / $2.50YesYes—
View
NanoGPT
moonshotai/kimi-k2-thinking
262,14498,304$0.60 / $2.50YesYesYes
View
Googlevia OpenRouter
moonshotai/kimi-k2-thinking
unknown
262,144235,929$0.60 / $2.50YesYesYes
View
Novitavia OpenRouter
moonshotai/kimi-k2-thinking
bf16
262,14498,304$0.60 / $2.50YesYesYes
View
Vercel AI Gateway
moonshotai/kimi-k2-thinking
216,144216,144$0.47 / $2.00YesYes—
View

Prices and limits apply to each offer. A dash means the value is not provided. OpenRouter offers show the hosting provider and routing channel separately.

Pricing

Compare token rates and cache charges across available routes and hosting configurations.

USD per million tokens
Input from$0.47Per 1M input tokens
Output from$2.00Per 1M output tokens
Available offers11Across 10 providers

Lowest listed input and output prices across the offers above; they may belong to different providers. These are base rates, before conditional pricing, discounts or additional fees.

Endpoint price comparisonLatest observed snapshot · 2 lowest-priced configurations
InputOutput
Googlegoogle-vertex
$0.60$2.50
Novitanovita/bf16
$0.60$2.50
moonshotai/kimi-k2-thinkingObserved
Input
$0.60
Output
$2.50
Hosting prices through OpenRouter All endpoints and cache rates
EndpointInput / 1MOutput / 1MCache read / 1MCache write / 1M
Googlegoogle-vertex$0.60$2.50——
Novitanovita/bf16$0.60$2.50$0.15—

Each row is a hosting configuration. Open an offer in Providers for its full pricing conditions and additional fees. Endpoint observations may differ from the routing catalog's base price.

Performance

Review reported latency and output-throughput percentiles from the latest observed rolling window.

Latest 30-minute observation

Time to first token · milliseconds

Latency distributionRolling 30-minute snapshot · 2 endpoints
P50P75P90P99
Googlegoogle-vertex
709–1,561.38 ms
Novitanovita/bf16
1,434–109,161.8 ms
All latency percentiles 2 endpoints
EndpointP50P75P90P99
Googlegoogle-vertex709 ms896 ms1,090.2 ms1,561.38 ms
Novitanovita/bf161,434 ms1,774.5 ms2,365 ms109,161.8 ms

Output throughput · tokens per second

Throughput distributionRolling 30-minute snapshot · 2 endpoints
P50P75P90P99
Googlegoogle-vertex
164–278.84 t/s
Novitanovita/bf16
50–174.52 t/s
All throughput percentiles 2 endpoints
EndpointP50P75P90P99
Googlegoogle-vertex164 t/s190 t/s238.8 t/s278.84 t/s
Novitanovita/bf1650 t/s53 t/s63 t/s174.52 t/s

Percentiles describe the observed request distribution. These are snapshots of a rolling window, not a historical time series.

Uptime

Compare successful request rates across the latest 5-minute, 30-minute, and 24-hour observations.

Successful requests by window
Availability by endpointCurrent overlapping windows · 2 endpoints
Endpoint5 minutes30 minutes24 hours
Googlegoogle-vertex
Novitanovita/bf16

Reported by OpenRouter at the time of collection; rate-limited requests are excluded. A dash means no measurement was reported. This is not a live availability check.

Benchmarks

Review attributed evaluation results on each source's original scale.

External evaluations
moonshotai/kimi-k2-thinkingObserved
Benchmark profileArtificial Analysis · shared source scale from 0 to 30
Coding21
Design ArenaCategoryEloWin rateRank
modelswebsite1,12048.8%94

Sources: Artificial Analysis and Design Arena, via OpenRouter. Scores retain their original scales and are not OpenAI Suite ratings.

Detailed evaluations

Evaluation scoresAccuracy or item F1 · higher is better
tau bench verified airlineMoonshotAI: Kimi K2 Thinking
71.333%
gpqa diamondMoonshotAI: Kimi K2 Thinking
87.277%
EvaluationConfigurationSourceResultsDetails
tau bench verified airlineMoonshotAI: Kimi K2 Thinkingmoonshotai/kimi-k2-thinking-20251106OpenRouter71.333%
Details
models · websiteKimi K2 Thinkingmoonshotai/kimi-k2-thinking-20251106Design Arena1,120 Elo
Details
gpqa diamondMoonshotAI: Kimi K2 Thinkingmoonshotai/kimi-k2-thinking-20251106OpenRouter87.277%
Details
Composite indicesK2 Think V2moonshotai/kimi-k2-thinking-20251106Artificial AnalysisIntelligence — · Coding 21 · Agentic —
Details

Sources: Artificial Analysis, Design Arena and OpenRouter. Evaluation configurations and scales differ; results are not interchangeable. Updated Oct 4, 2026.

Technical details & API

Explore specifications, supported parameters, reasoning controls, and API identifiers for each OpenRouter route.

Current route specifications
moonshotai/kimi-k2-thinkingObserved
Context
262,144
Maximum output
235,929
Tokenizer
Other
Input
text
Output
text
Moderation
No
Added to OpenRouter
2025-11-06
Base URLhttps://openrouter.ai/api/v1
Model IDmoonshotai/kimi-k2-thinking
Version IDmoonshotai/kimi-k2-thinking-20251106
Weights IDmoonshotai/Kimi-K2-Thinking

Reasoning

Required
Yes
Enabled by default
Yes
Default effort
—
Supported efforts
—

Supported parameters

  • frequency_penalty
  • include_reasoning
  • logprobs
  • max_tokens
  • presence_penalty
  • reasoning
  • repetition_penalty
  • response_format
  • seed
  • stop
  • structured_outputs
  • temperature
  • tool_choice
  • tools
  • top_k
  • top_logprobs
  • top_p

Frequently asked questions

Answers based on the model metadata and serving offers currently in the catalog.

How much does Kimi K2 Thinking cost?

Listed rates start at $0.47 per million input tokens and $2.00 per million output tokens. Prices vary by provider and configuration; see Pricing for details.

Which providers offer Kimi K2 Thinking?

There are 11 cataloged offers across 10 providers. Compare model IDs, prices and limits in Providers.

What is the context window?

The cataloged model context is 262,144 tokens. Each serving endpoint may apply a different limit.

Does it support tools and structured output?

Tool calling: Yes. Structured output: Not reported. Support can vary by endpoint.

Resources

Catalog history · 2 recorded revisions

Metadata observations since this model was first cataloged. These are not model release versions.

  • · 08b81e53d7d4
  • · b53101bc7294