Kimi K3.1 Pro

by MoonshotAImoonshotai/kimi-k3.1-pro

  • Text
  • No route yet
  • Released

LLMCompare cannot run Kimi K3.1 Pro yet.No route to this model is configured on this site yet. Its prices and parameters are listed below for reference.

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Kimi K3.1 Pro at a glance

Context length
1,048,576 tokens
Maximum output
943,718 tokens
Accepts
Text, Image, Video
Returns
Text
Features
ReasoningJSON outputTool callingPrompt cachingImage input
Reasoning effort levels
maxhighlownoneReasoning can be turned off.
Released
23 Oct 2026
Knowledge cutoff
Not published

Model facts synced from the OpenRouter model list on 23 Oct 2026.

Kimi K3.1 Pro pricing by route

A route is the service LLMCompare calls to reach the model. Kimi K3.1 Pro has 1 route. Prices are in US dollars.

Prices of Kimi K3.1 Pro on each route
RouteOn LLMCompareInputper 1M tokensOutputper 1M tokensCache readper 1M tokensPrice verified onSource
OpenRouterDefaultNot configured$2.00$10.00$0.20openrouter.ai/moonshotai/kimi-k3.1-pro

The cost shown in an LLMCompare report is calculated from these prices as they were at the time of the run.

Cost calculator

Estimate what a batch of calls to Kimi K3.1 Pro costs. The starting numbers are examples. Change them to match your task.

Part of the input tokens above, billed at the cache read price.

Billed in addition to the output tokens.

Cost per call
$0.007
9 credits
Cost of 100 calls
$0.70
900 credits

Calculated from the OpenRouter prices verified on 23 Oct 2026. Credits are the cost plus a 20% service fee, at $0.001 per credit, rounded up for each call, with a minimum of 1 per call. A real run is charged for the usage the provider reports.

Parameters you can set

These are the parameters LLMCompare can set when it calls the model through OpenRouter.

Parameters of Kimi K3.1 Pro
ParameterTypeRange or optionsDefault
max_tokensInteger1 to 943,718Provider default
reasoning_effortOne ofmaxhighlownonemax
response_formatOne oftextjson_objectProvider default

About Kimi K3.1 Pro

Kimi K3.1 Pro is Moonshot AI's flagship open-weight multimodal reasoning model and a post-trained successor to Kimi K3, with a 1M-token context window. It is built for long-horizon coding, 3D...

Description as published for this model. LLMCompare has not edited it.

Models to compare with Kimi K3.1 Pro

Text models from the same provider and models at the nearest price. The order is not a ranking.

Models to compare with Kimi K3.1 Pro
Add to comparisonModelContextMax outputInput priceper 1M tokensOutput priceper 1M tokensFeaturesReleasedOn LLMCompare
Kimi K3MoonshotAImoonshotai/kimi-k31.05M944k$0.239$10.80ReasoningJSONToolsCacheVisionNo route yet
Kimi K2.6MoonshotAImoonshotai/kimi-k2.6262k236k$0.65$3.41JSONToolsCacheVisionNo route yet
Kimi K2.7 CodeMoonshotAImoonshotai/kimi-k2.7-code262k236k$0.6712$3.35JSONToolsCacheVisionNo route yet
Gemini 4 ArgonGooglegoogle/gemini-4-argon1.05M944k$2.00$10.00ReasoningJSONToolsCacheVisionNo route yet
GPT-6.1 Sol ProOpenAIopenai/gpt-6.1-sol-pro1.05M128k$2.00$10.00ReasoningJSONToolsCacheVisionNo route yet
GPT-6.1 SolOpenAIopenai/gpt-6.1-sol1.05M128k$2.00$10.00ReasoningJSONToolsCacheVisionNo route yet

Questions about Kimi K3.1 Pro

How much does Kimi K3.1 Pro cost?
On the OpenRouter route, Kimi K3.1 Pro costs $2.00 per 1 million input tokens and $10.00 per 1 million output tokens, in US dollars. Input tokens that Kimi K3.1 Pro reads from the prompt cache cost $0.20 per 1 million tokens. LLMCompare verified this price on 23 Oct 2026.
What is the context length of Kimi K3.1 Pro?
Kimi K3.1 Pro has a context length of 1,048,576 tokens and returns up to 943,718 output tokens in one call.
What inputs does Kimi K3.1 Pro accept?
Kimi K3.1 Pro accepts these inputs: Text, Image, Video. Kimi K3.1 Pro returns: Text.
Which reasoning effort levels does Kimi K3.1 Pro support?
Kimi K3.1 Pro supports these reasoning effort levels: max, high, low, none. Reasoning can be turned off for Kimi K3.1 Pro.
Can I test Kimi K3.1 Pro on my own data?
Not yet. LLMCompare lists the prices and parameters of Kimi K3.1 Pro, but no route to Kimi K3.1 Pro is configured on LLMCompare, so it cannot be selected for an evaluation.