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Kimi K3 (Fireworks AI)

Kimi K3 is positioned by Fireworks.ai as an open-frontier model designed to compete with leading closed systems in agentic settings. Rather than relying on a single monolithic model, Fireworks.ai pairs Kimi K3 with its own Fable 5 in an intelligent routing setup that decides which engine handles each request, allowing the system to combine open and closed strengths across an agentic workload. The framing positions Kimi K3 as a practical open-weights workhorse for multi-step tasks where routing flexibility matters more than a single benchmark peak.

In a published evaluation, Fireworks.ai reports that the Kimi K3 plus Fable routing combination reached roughly 93% accuracy across about 1,000 agentic tasks, while cutting cost by up to 50x on long agentic loops compared with running Fable alone. That cost story is the core practical fit for the model: teams running many chained tool calls and reasoning steps can lean on Kimi K3 as the open-weights backbone, escalating only the harder turns to the closed partner. The Kimi K3 announcement also coincided with Fireworks.ai disclosing its Series D funding and crossing the $1B ARR mark, signaling commercial momentum behind the routing architecture.

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Model key
fireworks/kimi-k3
Release date
Jul 16, 2026
Last updated
Jul 16, 2026
Input modalities
Output modalities
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Cost

Input token cost
$3.00
Output token cost
$15.00

Limits

Output tokens
1,040,384 tokens
Context window
1,040,384 tokens

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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 (Fireworks AI)

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Coverage

On July 27, 2026, Moonshot AI officially released the full weights of Kimi K3 as an open-weight model on Hugging Face, GitHub, and ModelScope, available for free download, local deployment, and secondary development. According to the 36Kr report, Kimi K3 has approximately 2.8 trillion parameters—the world's first open- The piece places this release in business-strategy context, noting Moonshot AI's ARR surpassed $300 million in mid-June 2026 with API revenue accounting for over 70% of that figure, that new consumer-end subscriptions were suspended on July 19, and that Moonshot closed its previous funding round at a $20 billion valuat

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Coverage

Harvey introduced Harvey Tenet, a legal-domain model built by post-training a Kimi K3 base with Fireworks through asynchronous reinforcement learning targeted at long-horizon legal agent work. The training corpus combined synthetic data, publicly available legal data, and human-expert data, and Harvey states that no cu The news connects the Kimi K3 model family to a specialized enterprise application in the legal sector, showing Fireworks' infrastructure being used for asynchronous RL post-training rather than only serving. This is a third-party derivative of Kimi K3 rather than a new Moonshot K3 release, and specific fine-tuning met

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CoverageRelease Notes

GitHub's official changelog confirms that Kimi K3 is generally available in GitHub Copilot, hosted by GitHub on Fireworks AI, with pricing of $3 per 1M input tokens, $15 per 1M output tokens, and $0.30 per 1M cached input tokens. The model is rolling out to Copilot Pro, Pro+, Max, Business, and Enterprise plans across The changelog notes an August 6, 2026 temporary pause of the rollout to mitigate a GitHub Actions incident, followed by resumed rollout the same day. For Copilot Business and Copilot Enterprise, Kimi K3 is off by default and plan administrators must enable the Kimi K3 policy in Copilot settings before members can selec

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Coverage

Microsoft announced that Kimi K3, Moonshot AI's 2.8-trillion-parameter open-weight model, is deployable on Microsoft Foundry through Fireworks AI. The model uses a Mixture-of-Experts architecture with 896 experts, activating 16 per token, and supports a one-million-token context window with native multimodal capabiliti In benchmark results reported by Neowin, Kimi K3 scored 81.2 on FrontierSWE, ahead of GPT-5.6 Sol and Claude Opus 4.8, and achieved leading results on BrowseComp, SWE Marathon, AutomationBench, SpreadsheetBench 2, and OmniDocBench. The article also notes that Kimi K3 is not under the unrestricted Modified MIT License u

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Coverage

The Fireworks AI landing page for the Kimi lineup explicitly introduces Kimi K3 as an open-weights, 2.8 trillion parameter model released on July 27th, with a 1,048,576-token context window and Vision capability. The page attributes Kimi K3 to Moonshot AI (an Alibaba-backed company founded by Zhilin Yang), preserving c The page also presents concrete performance claims: Kimi K3 reportedly achieves up to 201 tokens per second inference (3x faster than unnamed closed-source models and 4.5x faster than other providers) and reportedly outperformed "Fable" on 1,000 agentic tasks spanning security, crypto, and long terminal loops, at up to

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