Where is the Kimi K3 (batch) documentation?

The Kimi K3 (batch) documentation on OpenRouter includes the Open-Weight vs Closed-Weight Models: What's the Difference? blog post. The quickstart covers API keys and your first request, and the API reference lists every parameter.

How much does Kimi K3 (batch) cost?

Kimi K3 (batch) costs $2.28/M input tokens and $11.40/M output tokens, with separate rates for Cache Read at $0.228/M tokens.

What is the context length of Kimi K3 (batch)?

Kimi K3 (batch) has a 1,048,576 token context window. It supports up to 16,384 completion tokens.

Does Kimi K3 (batch) support tool calling and structured outputs?

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

What inputs and outputs does Kimi K3 (batch) support?

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

Which providers serve Kimi K3 (batch)?

Kimi K3 (batch) is served by 1 provider on OpenRouter: DeepInfra.

What other text models does MoonshotAI have?

Kimi K3.1 Pro, Kimi K2.7 Code, Kimi K2.6 and 4 more are other text models from MoonshotAI.

When was Kimi K3 (batch) released?

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

MoonshotAI: Kimi K3 (batch)

moonshotai/kimi-k3:batch

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

$2.28 / $11.40per 1M

Context

1.0M

Released

Jul 16, 2026

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 Floor (cheapest).


	$2.28	$11.40	$0.228	--	--	--

Input $2.28Output $11.40
-- tok/s-- uptime

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.

Weighted average

Input

$0/M tokens

Output

$0/M tokens

Kimi K3 (batch) — Price history

Price history

No effective price data for this selection

		$0.00	$0.00	0.0%	100.0%

Effective in $0.00Effective out $0.00
Token share
100.0%

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.

Not enough uptime data to display yet.

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 provider routing options.

Benchmarks

Scores on standardized evaluations and this model’s own outputs on shared benchmark prompts. Higher percentages are better — and each rank shows where this model lands among the models evaluated on that source.

Benchmark score summary for MoonshotAI: Kimi K3 (batch) (Artificial Analysis, Design Arena and Vals AI)
Source	Benchmark	Score
Artificial Analysis	Kimi K3 (Max) Coding Index	76.2
Artificial Analysis	Kimi K3 (Max) Agentic Index	50.0
Artificial Analysis	Kimi K3 (Max) GPQA Diamond	93.5%
Artificial Analysis	Kimi K3 (Max) HLE	46.9%
Artificial Analysis	Kimi K3 (Max) AA-LCR	88.7%
Artificial Analysis	Kimi K3 (Max) τ-Bench Banking	46.0%
Artificial Analysis	Kimi K3 (Max) GDPval-AA	52.1%
Artificial Analysis	Kimi K3 (Max) CritPt	23.4%
Artificial Analysis	Kimi K3 (Max) SciCode	59.5%
Artificial Analysis	Kimi K3 (Max) Terminal-Bench 4.0	12.6%
Artificial Analysis	Kimi K3 (Max) Terminal-Bench 2.1	85.0%
Artificial Analysis	Kimi K3 (Low) Intelligence Index	17.4
Artificial Analysis	Kimi K3 (Low) Coding Index	72.0
Artificial Analysis	Kimi K3 (Low) Agentic Index	29.3
Artificial Analysis	Kimi K3 (Low) GPQA Diamond	84.2%
Artificial Analysis	Kimi K3 (Low) HLE	25.0%
Artificial Analysis	Kimi K3 (Low) AA-LCR	79.3%
Artificial Analysis	Kimi K3 (Low) τ-Bench Banking	41.6%
Artificial Analysis	Kimi K3 (Low) GDPval-AA	31.8%
Artificial Analysis	Kimi K3 (Low) CritPt	3.1%
Artificial Analysis	Kimi K3 (Low) SciCode	52.7%
Artificial Analysis	Kimi K3 (Low) Terminal-Bench 4.0	12.6%
Artificial Analysis	Kimi K3 (Low) Terminal-Bench 2.1	82.4%
Artificial Analysis	Kimi K3 (Low) AA-Omniscience Accuracy	42.4%
Artificial Analysis	Kimi K3 (Low) AA-Omniscience Non-Hallucination Rate	23.4%
Design Arena	Kimi K3 Agents Arena Agenticgamedev Elo	1203
Design Arena	Kimi K3 Agents Arena Androidnative Elo	1254
Design Arena	Kimi K3 Agents Arena Blender3d Elo	1155
Design Arena	Kimi K3 Agents Arena Codetovideo Elo	1267
Design Arena	Kimi K3 Agents Arena Full Stack Elo	1295
Design Arena	Kimi K3 Agents Arena Godotgamedev Elo	1201
Design Arena	Kimi K3 Agents Arena Htmlslides Elo	1149
Design Arena	Kimi K3 Agents Arena Mobile Apps Elo	1256
Design Arena	Kimi K3 Agents Arena Pdf Elo	1279
Design Arena	Kimi K3 Agents Arena Python-Pptxslides Elo	1221
Design Arena	Kimi K3 Agents Arena Spreadsheet Elo	1130
Design Arena	Kimi K3 Agents Arena Webapps Elo	1276
Design Arena	Kimi K3 Models Arena 3D Elo	1363
Design Arena	Kimi K3 Models Arena Code Categories Elo	1351
Design Arena	Kimi K3 Models Arena Data Visualization Elo	1352
Design Arena	Kimi K3 Models Arena Game Development Elo	1353
Design Arena	Kimi K3 Models Arena SVG Elo	1299
Design Arena	Kimi K3 Models Arena UI Component Elo	1341
Design Arena	Kimi K3 Models Arena Website Elo	1335
Vals AI	Kimi K3 Access to Justice Benchmark	68.2%
Vals AI	Kimi K3 BioMysteryBench	72.6%
Vals AI	Kimi K3 Code Migration v1.1	28.6%
Vals AI	Kimi K3 CorpFin v2	71.6%
Vals AI	Kimi K3 CyberBench v1.1	75.2%
Vals AI	Kimi K3 CyberOffense	25.0%
Vals AI	Kimi K3 EMB v1.1	71.3%
Vals AI	Kimi K3 Finance Agent v2.1	60.0%
Vals AI	Kimi K3 Vals Finance Index	58.0%
Vals AI	Kimi K3 Financial Coaching Bench	74.5%
Vals AI	Kimi K3 GPQA Diamond	92.9%
Vals AI	Kimi K3 HLAB-Vals-1.1	12.9%
Vals AI	Kimi K3 Immigration	68.3%
Vals AI	Kimi K3 Vals Inference Provider Index	64.9%
Vals AI	Kimi K3 IOI	48.9%
Vals AI	Kimi K3 LiveCodeBench	87.2%
Vals AI	Kimi K3 LegalBench	86.2%
Vals AI	Kimi K3 Vals Legal Index	71.7%
Vals AI	Kimi K3 Legal Research Bench	46.2%
Vals AI	Kimi K3 MedCode	49.4%
Vals AI	Kimi K3 MedScribe	88.0%
Vals AI	Kimi K3 MMLU Pro	88.0%
Vals AI	Kimi K3 MMMU Pro	88.2%
Vals AI	Kimi K3 MortgageTax	66.3%
Vals AI	Kimi K3 ProgramBench	2.0%
Vals AI	Kimi K3 ProofBench v1.1	87.0%
Vals AI	Kimi K3 Public Benefits Bench v1.1	68.2%
Vals AI	Kimi K3 Vals RSI Index	20.9%
Vals AI	Kimi K3 SAGE	86.8%
Vals AI	Kimi K3 SWE-bench	93.4%
Vals AI	Kimi K3 SWE-bench Multimodal	44.2%
Vals AI	Kimi K3 Tax Agent Bench	33.4%
Vals AI	Kimi K3 TaxEval v2	75.7%
Vals AI	Kimi K3 Terminal-Bench 4.0	17.2%
Vals AI	Kimi K3 Terminal-Bench-Science	1.4%
Vals AI	Kimi K3 Vals Index	53.0%
Vals AI	Kimi K3 Vals Multimodal Index	73.4%
Vals AI	Kimi K3 Vibe Code Bench 1-100	18.2%
Vals AI	Kimi K3 Vibe Code Bench v1.1	85.0%

MoonshotAI: Kimi versions

Not currently available through EU in-region routing. In-region routing docs

More models from moonshotai

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 creation, financial research, and end-to-end agentic knowledge work, with native image and video understanding.

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Kimi K3.1 Pro (batch)

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Kimi K3

Text1.0M context$0.1824 / $11.01

Kimi K3 (batch)

Text1.0M context$2.28 / $11.40

Kimi K2.7 Code

MoonshotAI: Kimi K2.7 Code is a coding-focused model in Moonshot AI's Kimi K2 family, built to complete end-to-end programming tasks reliably over long contexts. It uses a native multimodal mixture-of-experts architecture that accepts text and image input, and it always operates in a thinking mode, preserving full reasoning content across multi-turn conversations. With a 256K-token context window, it targets long-horizon coding, agentic task decomposition, and multi-turn dialogue. The model activates 32B parameters out of roughly 1T total.

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Kimi Latest

This model always redirects to the latest model in the Kimi family.

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Kimi K2.6

Kimi K2.6 is Moonshot AI's next-generation multimodal model, designed for long-horizon coding, coding-driven UI/UX generation, and multi-agent orchestration. It handles complex end-to-end coding tasks across Python, Rust, and Go, and can convert prompts and visual inputs into production-ready interfaces. Its agent swarm architecture scales to hundreds of parallel sub-agents for autonomous task decomposition - delivering documents, websites, and spreadsheets in a single run without human oversight.

Text262K context$0.3895 / $1.64

Kimi K2.5

Kimi K2.5 is Moonshot AI's native multimodal model, delivering state-of-the-art visual coding capability and a self-directed agent swarm paradigm. Built on Kimi K2 with continued pretraining over approximately 15T mixed visual and text tokens, it delivers strong performance in general reasoning, visual coding, and agentic tool-calling.

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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.

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Kimi K2 0905

Kimi K2 0905 is the September update of Kimi K2 0711. It is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32 billion active per forward pass. It supports long-context inference up to 256k tokens, extended from the previous 128k.

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Kimi K2 0711

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Kimi Dev 72B

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Kimi VL A3B Thinking

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Moonlight 16B A3B Instruct

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MoonshotAI: Kimi K3 (batch)

Providers

Pricing

Weighted average

Kimi K3 (batch) — Price history

Performance

Uptime

Benchmarks

Apps

Activity

API

Documentation

Frequently asked questions

Explore more models

More models from moonshotai

More models from moonshotai

MoonshotAI: Kimi K3 (batch)

Providers

Pricing

Weighted average

Kimi K3 (batch) — Price history

Performance

Uptime

Benchmarks

Apps

Activity

API

Documentation

Frequently asked questions

What is Kimi K3 (batch)?

Where is the Kimi K3 (batch) documentation?

How much does Kimi K3 (batch) cost?

What is the context length of Kimi K3 (batch)?

Does Kimi K3 (batch) support tool calling and structured outputs?

What inputs and outputs does Kimi K3 (batch) support?

Which providers serve Kimi K3 (batch)?

What other text models does MoonshotAI have?

When was Kimi K3 (batch) released?

Explore more models

More models from moonshotai

More models from moonshotai