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Kimi K3 (Together AI)

Kimi K3 is Moonshot AI's flagship open-weight large language model, positioned by Together AI as a natural fit for long-running agent and coding workloads. Together AI's documentation frames the model around its roughly one-the cataloged API limit and its integration with Moonshot's own Kimi Code CLI and VS Code extension, describing Kimi K3 as the backbone that Kimi Code was built around. The same guide highlights that the same provider plumbing can be reused across Together AI's broader serverless catalog, so developers can route Kimi Code through the hosted Kimi K3 endpoint and switch to other open-source models without changing their agent setup.

On the Together AI endpoint, the model is exposed with streaming, tool calling, vision input, and JSON output, along with prompt caching, giving it the surface area needed for tool-using agents and structured retrieval. Together AI lists pricing in line with other flagship-tier open-weight hosts, charging a few dollars per million input tokens and a higher rate for output, while keeping a cache-read discount that makes repeated context reuse economical. The combination of a very large context window, open weights, and an agent-friendly capability stack makes Kimi K3 through Together AI a practical choice for coding assistants, document-heavy RAG pipelines, and multi-step workflows that need both long memory and flexible tool use.

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Quick Info

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Provider
LLM Gateway
Model key
together-ai/kimi-k3
Release date
Jul 16, 2026
Last updated
Jul 16, 2026
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$3.00
Output token cost
$15.00

Limits

Output tokens
1,000,000 tokens
Context window
1,000,000 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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Latest news about Kimi K3 (Together AI)

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Coverage

Together AI has announced a strategic partnership with Moonshot AI to natively serve Moonshot's large language models, with Kimi K3 as the flagship launch and future Moonshot models to follow. The agreement positions Together AI as a primary launch platform for Moonshot's open-weight releases, giving developers day-zer Kimi K3 itself is described as a 2.8 trillion parameter sparse MoE with native vision support and a one-million-token context window, optimized by Together AI for serving large sparse architectures. The platform emphasizes zero data retention and compliant usage, targeting developers who want early access to Moonshot's

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Coverage

VentureBeat's July 27, 2026 article confirms Moonshot AI released the full weights for Kimi K3, the largest and most performant version in the "Kimi K" family, completing the rollout that began through Moonshot's hosted API earlier that month. The release package includes the complete 2.8 trillion-parameter Mixture-of- The article highlights important license caveats for enterprises and AI service providers: while the custom Kimi K3 usage license grants broad rights to download, modify, and deploy the model for commercial purposes (a win for those seeking low-cost frontier-level AI), it imposes added obligations on larger companies a

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Coverage

Nathan Lambert's Interconnects analysis from July 20, 2026 documents Moonshot AI's release of Kimi K3 on July 16 as a frontier-class 2.8 trillion-parameter Mixture-of-Experts model. The piece benchmarks K3's standing: second overall on the Vals AI index, third on Artificial Analysis's Intelligence Index (behind Claude Lambert's analysis situates Kimi K3 within broader ecosystem equilibrium under the assumption that Moonshot keeps its open-weights release promise (later confirmed by VentureBeat coverage), framing the model's implications for the competitive dynamics between open-weight Chinese releases and closed proprietary frontier

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Coverage

Pulse 2.0's July 20, 2026 coverage documents Moonshot AI's launch of Kimi K3, a 2.8 trillion-parameter model designed for advanced reasoning, coding, and knowledge work that the company describes as the world's largest open-weight AI model. The release places Moonshot in more direct competition with U.S. AI developers Moonshot stated K3 remains behind Anthropic's Fable 5 and OpenAI's GPT-5.6 Sol in some overall comparisons, but reported stronger performance across selected coding, agentic, and hardware optimization tests, with independent evaluator Arena ranking K3 first in its Frontend Code benchmark (1,679 points, ahead of Fable 5

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