Kimik3 On Fireworks

Kimi K3 on Fireworks: Frontier Intelligence You Can Own

Kimi K3 on Fireworks: Frontier Intelligence You Can Own

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Kimik3 On Fireworks Kimi K3 on Fireworks: Frontier Intelligence You Can Own

PUBLISHED 7/27/2026

Table of Contents US-Hosted, Zero Data Retention, and Day-0 Training Kimi K3 Rivals Opus 5 vs Kimi K3 at a Glance Kimi Delta Attention: Faster Tokens at a Lower Cost for Large Context Workloads The Specs Run Kimi K3 the way you want on Fireworks Built for Regulated Industries with US-only Serverless and Zero Data Retention But why stop there? Making K3 yours starts from your laptop K3 is on Fireworks now. Serve it, fine-tune it, and put it into production.

Table of Contents

US-Hosted, Zero Data Retention, and Day-0 Training

Kimi K3 is open-weight today, and available Day-0 for both inference and training on Fireworks. It delivers frontier-level intelligence, the top open model in the world, at a fraction of closed-model cost. It is #1 at frontend code, strong at writing, and it reliably finishes the long, multi-step agentic tasks where other models stall. Michele Catasta, the President of Replit, told us, "Kimi K3 on Replit Design exceeded our expectations. Unprecedented product design and UI capabilities, at a fraction of the cost we've come to expect from frontier models." This is a turning point. Open models have crossed the line where they match closed frontier quality on real work while costing far less. That changes the default: start with an open model like Kimi K3 for the bulk of your tasks, see exactly what you are spending, and route to specialized intelligence only where a task demands it. With Kimi K3 on Fireworks, you own your roadmap. Training a 3T-class model can start from your laptop, no infrastructure setup, no deployments to bring up. Just start a session and send tokens. And we keep your private data private. With Fireworks, specialized intelligence becomes a moat that compounds with every cycle. That ownership comes with the guarantees regulated teams need: US-hosted inference and zero data retention, on an API that stays out of your way. Michael Haines, Product Lead at Mercor, put it this way: "Evaluating new models against our benchmarks usually requires trade-offs between performance, cost and scale, but Kimi K3 on Fireworks delivered across the board. The performance is top-tier, the serverless scaling is seamless, and the Zero Data Retention assurance gives us full confidence at scale." That ownership changes the economics. What matters is your cost per finished task, set by how often the model succeeds on the first try and how many steps it takes. Tailoring Kimi K3 raises the success rate and shortens the trajectory, so budget shifts from generic tokens to the differentiation that makes your company unique.

Kimi K3 Rivals Anthropic and OpenAI’s Top Models

Kimi K3 is the first open model to reach 2.8 trillion parameters, providing frontier-level reasoning that rivals closed models like Fable 5, Opus 5 and GPT 5.5. Kimi K3 is designed to handle the most demanding use cases in software development, cybersecurity, knowledge work, multi-modal and visual work. What makes K3 credible is that most of the standout results come from independent benchmarks:

• #1 World Rank in Front-End Code : K3 topped Arena's Frontend Code Arena at 1,679 points, surpassing Fable 5. This makes it the first open model to sit ahead of every closed one. It also claims top spot on Vercel's own Next.js evaluation suite . • Frontier Full Stack Coding: It ranked #3 on DeepSWE (Datacurve) , only behind Fable 5 and GPT-5.6 Sol. • Top Open Model for General Intelligence: It is ranked #3 in the world on the Artificial Analysis Intelligence Index at 57, comparable to Opus and GPT-5.5-class models. • #1 for writing in editorial voice on 2840 Elo : surpassing Claude Fable 5. That is a jump from #21 to #1 over its predecessor, Kimi K2.6. • Sets a New Standard for Legal Analysis : K3 achieved a 26.7% all-pass rate on Harvey’s LAB legal benchmark , outperforming Fable 5 by nearly 2x . • Unmatched Performance for Customer service: On Sierra’s Tau3-Banking benchmark, K3 scored 33.4%, narrowly beating GPT 5.6 Sol. • Top Tier on Multimodal Intelligence: It ranks in the top two models globally for complex chart, screenshot, and dense document analysis ( CharXiv and Zerobench ). • High-End Cybersecurity: Similar recall as GPT 5.5 on Vercel’s private cybersecurity eval at a much lower price. • Top Tier for Autonomous Game Development: The developer community is buzzing about the new frontier for Agentic Game Development, from Night Rider to Fluppy Bird

Figure 1: Third-Party Frontier Performance Benchmarks on Kimi K3 Last week, our research team shared how K3 matches Fable on quality for a fraction of the cost in long-running agentic workflows. By routing tasks between K3 and Fable, you can unlock the best possible performance for your specific needs.

Opus 5 vs Kimi K3 at a Glance

Following last week’s Opus 5 release, our team benchmarked it head-to-head against Kimi K3. We found Kimi K3 delivers matching performance at up to 5x better cost efficiency per task. Independent benchmarks like Vals Index found the exact same thing in the quality of the K3 against Opus.

Task Model Accuracy $/task Turns/task SWE (480) Kimi K3 92.7% $0.52 55.6 Opus 5 94.8% $1.05 37.9 Algorithmic(100) Kimi K3 88.0% $0.064 3.4 Opus 5 88.0% $0.176 4.1 Terminal (83) Kimi K3 81.9% $0.35 11.6 Opus 5 85.5% $1.61 18.7

Kimi Delta Attention: Faster Tokens at a Lower Cost for Large Context Workloads

Hosting K3 yourself isn’t practical for most engineering teams. Moonshot recommends running it on a cluster of 64+ accelerator supernodes(GPUs). This means huge upfront hardware spend, and endless money wasted on idle GPUs. Fireworks lets you skip the cluster headaches, and instead of burning budget on dedicated GPU reservations, you pay per token and get frontier-level reasoning wherever you need it.

K3 is not just bigger; it is more efficient by design. Moonshot improved the design by changing how information flows across the model. Our team at Fireworks put together custom kernels for Kimi Delta Attention, FP4 MoE kernels, and adapted decode kernels to unlock K3’s full performance. The model architecture brings a new Kimi Delta Attention architecture and refined attention residuals. They scaled up the Mixture of Experts (MoE), activating 16 out of 896 experts with the Stable Latent MoE. This...