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Favicon for moonshotai

MoonshotAI: Kimi K3

moonshotai/kimi-k3

Model weights
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Kimi K3 is a 2.8T parameter open-weight multimodal reasoning model from Moonshot AI. It is suited for complex coding, knowledge work, and long-horizon agentic workflows, and is particularly strong at navigating large repositories, using tools, debugging, and iterating against images, logs, tests, and runtime feedback. Its architecture uses KDA and Attention Residuals for computational efficiency.

Modalities

In / Out Price

$2.60 / $13per 1M

Context

1M

Released

Jul 16, 2026

Compare
ProvidersPricingPerformanceUptimeBenchmarksAppsActivityFAQExplore

Providers

Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick — Balanced (price + speed), Nitro (fastest), or Exacto (highest tool-calling accuracy).

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Benchmarks

Scores on standardized evaluations. Higher percentages are better — and rank percentile shows where this model lands among all models on OpenRouter.

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Activity

Token volume and request traffic to this model over time.

Quick Start

Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.

Explore more models

AI Models with Vision: Multimodal LLMs for Image UnderstandingCollectionAI Model RankingsRanking
$2.60$13.00$0.291.07s31 tps
98.61%
$2.80$14.00$0.291.74s9 tps
92.09%
$2.85$14.25$0.2856.39s13 tps
94.21%
$2.85$14.25$0.2852.69s25 tps
99.71%
$3.00$15.00$0.300.47s81 tps
99.97%
$3.00$15.00$0.302.33s34 tps
98.08%
$3.00$15.00$0.3012.80s19 tps
98.68%
$3.00$15.00$0.304.67s17 tps
97.64%
$3.00$15.00$0.302.96s42 tps
99.40%
$3.00$15.00$0.301.62s86 tps
98.64%
$3.00$15.00$0.301.44s24 tps
98.17%
$3.45$17.25$0.3454.65s19 tps
98.46%
$6.00$22.50$0.601.90s11 tps
94.21%
$3.30$16.50$0.332.51s43 tps
97.81%
$3.00$15.00$0.3023.05s15 tps
59.95%

Throughput

86tok/s

P50, best across providers

Latency

0.47s

P50, best provider

AutoExacto Benchmarks
GPQA DiamondTAU-Bench
Fireworks Fast
92.6%--
Wafer Fast
92.2%--
Chutes
89.2%--
DeepInfra
88.2%--
Baseten
91.3%77.9%
Fireworks (US)
93.1%75.3%
Fireworks
92.8%69.1%
Wafer
67.3%78.0%
+9 more providers
Uptime (3d)

100.00%

Availability (3d)

98.78%

Availability over the last 3 days

Last 72 hours
Availability 98.78%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
97.59%
Without Routing
80.35%

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and customization options.

1.
Favicon for https://nousresearch.com
Hermes Agent
Hermes Agent is an open-source, self-improving AI agent by Nous Research that runs persistently with memory across sessions, and builds reusable skills from experience. It comes with 40+ built-in tools, including web search, browser automation, and vision, plus scheduled automations and subagents.
832Btokens
2.
Favicon for https://claude.ai/apple-touch-icon.png
Claude Code
Claude Code is Anthropic's agentic coding tool that reads your entire codebase, plans and executes changes across files, runs tests, and iterates on failures, all from natural language prompts.
349Btokens
3.
Favicon for https://pi.dev/
pi
There are many coding agents, but this one is yours.
248Btokens
4.
Favicon for https://omp.sh/
omp
new
132Btokens
5.
Favicon for https://kilocode.ai/
Kilo Code
Kilo Code is an open-source AI coding agent that works across VS Code, JetBrains, and CLI to help developers ship code faster with agentic workflows.
94.3Btokens

Frequently asked questions

Kimi K3 is a 2.8T parameter open-weight multimodal reasoning model from Moonshot AI. It is suited for complex coding, knowledge work, and long-horizon agentic workflows, and is particularly strong at navigating large repositories, using tools, debugging, and iterating against images, logs, tests, and runtime feedback. Its architecture uses KDA and Attention Residuals for computational efficiency.

Kimi K3 costs $2.60/M input tokens and $13.00/M output tokens, with separate rates for Cache Read at $0.29/M tokens.

Kimi K3 has a 1,048,576 token context window. It supports up to 974,842 completion tokens.

Yes. Kimi K3 accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.

Kimi K3 accepts text, images and video as input and returns text.

Kimi K3 is served by 13 providers on OpenRouter: Sail Research, Morph Fast, DeepInfra, DigitalOcean, Wafer, Baseten, Together, Moonshot AI and 5 more. Requests are routed to the best available provider, with automatic failover to the others, and you can pin or exclude providers with provider routing.

Kimi K3 was released on July 16, 2026.