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MoonshotAI: Kimi K3 (batch)

moonshotai/kimi-k3:batch

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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

$3 / $15per 1M

Context

1.0M

Released

Jul 16, 2026

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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), Floor (cheapest), 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.

Benchmark score summary for MoonshotAI: Kimi K3 (batch) (Artificial Analysis and Design Arena)
SourceBenchmarkScore
Artificial AnalysisKimi K3 (low) Intelligence Index30.5
Artificial AnalysisKimi K3 (low) Coding Index72.0
Artificial AnalysisKimi K3 (low) Agentic Index30.7
Artificial AnalysisKimi K3 (low) GPQA Diamond84.2%
Artificial AnalysisKimi K3 (low) HLE25.0%
Artificial AnalysisKimi K3 (low) AA-LCR79.3%
Artificial AnalysisKimi K3 (low) GDPval-AA34.3%
Artificial AnalysisKimi K3 (low) CritPt3.1%
Artificial AnalysisKimi K3 (low) SciCode52.7%
Artificial AnalysisKimi K3 (low) AA-Omniscience Accuracy45.8%
Artificial AnalysisKimi K3 (low) AA-Omniscience Non-Hallucination Rate22.9%
Artificial AnalysisKimi K3 (max) Intelligence Index43.8
Artificial AnalysisKimi K3 (max) Coding Index76.2
Artificial AnalysisKimi K3 (max) Agentic Index50.6
Artificial AnalysisKimi K3 (max) GPQA Diamond93.5%
Artificial AnalysisKimi K3 (max) HLE46.9%
Artificial AnalysisKimi K3 (max) AA-LCR88.7%
Artificial AnalysisKimi K3 (max) GDPval-AA52.4%
Artificial AnalysisKimi K3 (max) CritPt23.4%
Artificial AnalysisKimi K3 (max) SciCode59.5%
Artificial AnalysisKimi K3 (max) AA-Omniscience Accuracy47.6%
Artificial AnalysisKimi K3 (max) AA-Omniscience Non-Hallucination Rate46.8%
Design ArenaKimi K3 Agents Arena Agenticgamedev Elo1252
Design ArenaKimi K3 Agents Arena Androidnative Elo1259
Design ArenaKimi K3 Agents Arena Full Stack Elo1331
Design ArenaKimi K3 Agents Arena Godotgamedev Elo1199
Design ArenaKimi K3 Agents Arena Htmlslides Elo1259
Design ArenaKimi K3 Agents Arena Mobile Apps Elo1279
Design ArenaKimi K3 Agents Arena Python-Pptxslides Elo1273
Design ArenaKimi K3 Agents Arena Webapps Elo1309
Design ArenaKimi K3 Models Arena 3D Elo1425
Design ArenaKimi K3 Models Arena Code Categories Elo1386
Design ArenaKimi K3 Models Arena Data Visualization Elo1363
Design ArenaKimi K3 Models Arena Game Development Elo1399
Design ArenaKimi K3 Models Arena SVG Elo1330
Design ArenaKimi K3 Models Arena UI Component Elo1369
Design ArenaKimi K3 Models Arena Website Elo1352

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.

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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 (batch) costs $3.00/M input tokens and $15.00/M output tokens, with separate rates for Cache Read at $0.30/M tokens.

Kimi K3 (batch) has a 1,048,576 token context window.

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

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

Kimi K2.7 Code, Kimi K2.6, Kimi K2.5 and 3 more are other text models from MoonshotAI.

Kimi K3 (batch) was released on July 16, 2026.