Atlas / Models / Moonshotai / MoonshotAI: Kimi K2 0905

MoonshotAI: Kimi K2 0905✓ Catalog verified

moonshotai/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...

Input price
$0.60 /1M
Output price
$2.50 /1M
Context
262K
Modalities
text
Released
Sep 4, 2025
Tool calling
✓ Yes
Atlas signal
82/100
01

Overview

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...

Access: available through the official Moonshotai API. Context window: 262K.

Pricing and metadata from the ModelsAtlas catalog.Last refreshed Sep 19, 2026
02

Specifications

API identifiermoonshotai/kimi-k2-0905
ProviderMoonshotai
Model typeText LLM
Context window262K catalog
Input modalitiestext
Output modalitiestext
ReleasedSep 4, 2025
ModeratedNo
Architecture modalitytext->text
Supported parameters
frequency_penaltymax_tokenspresence_penaltyrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_p
Source: provider documentation + catalog feedMethodology →
03

Pricing

Live pricing components for moonshotai/kimi-k2-0905 as published in the catalog.

$0.60
Input /1M
$2.50
Output /1M
Per request
Per image
Pricing componentRaw unit priceNormalizedUnit
Prompt tokens$6e-7$0.60 / 1MPer input token
Completion tokens$0.0000025$2.50 / 1MPer output token
Request feeN/AN/APer request
Image feeN/AN/APer image unit
Web search feeN/AN/APer search request
Source: catalog pricing feedCompare all pricing →Cheapest models →
04

Cost calculator

Estimate monthly spend from your own token volumes.

Scale / Volume

Estimated Total Cost

$0.8Calculated from current list pricing in the ModelsAtlas catalog.
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Capabilities

CapabilityStatusWhat it means
Visual UnderstandingNot advertisedImage and document analysis support
Audio ProcessingNot advertisedSpeech and voice aligned flows
Tool Calling✓ SupportedSupports tools / function calling
Self-HostingNot advertisedDeploy outside managed APIs
Derived from catalog capability tags and supported parameters
06

Capability signals

Directional signals derived from model metadata and capability tags — not official benchmark submissions.

MoonshotAI: Kimi K2 0905
MMLU Signal (Reasoning)
79signal
Coding Signal (HumanEval proxy)
88signal
Math Signal (GSM8K proxy)
79signal
Science Signal (GPQA proxy)
83signal
Estimated from metadata — not an official benchmark runAll benchmarks →Methodology →
07

Quick start

Call MoonshotAI: Kimi K2 0905 through an OpenAI-compatible client.

from openai import OpenAI

client = OpenAI(
    base_url="https://openrouter.ai/api/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="moonshotai/kimi-k2-0905",
    messages=[{"role": "user", "content": "Explain quantum physics."}]
)

print(response.choices[0].message.content)
08

Alternatives

Closest models by context window from a different provider.

09

Sources & attribution

Pricing and metadata are maintained in the ModelsAtlas catalog.

Capability bars use metadata tags — directional estimates onlyHow we source and verify data →
10

Frequently asked questions

How much does MoonshotAI: Kimi K2 0905 cost?

$0.60 per 1M input tokens and $2.50 per 1M output tokens on the official Moonshotai API.

What is the context window of MoonshotAI: Kimi K2 0905?

MoonshotAI: Kimi K2 0905 supports up to 262K tokens of context.

Does MoonshotAI: Kimi K2 0905 support tool / function calling?

Yes, MoonshotAI: Kimi K2 0905 supports tool / function calling — you can register tools and the model will emit structured tool calls.

How do I access MoonshotAI: Kimi K2 0905?

Use the official Moonshotai API with the model id `moonshotai/kimi-k2-0905`. See the Quick start section above for code examples.