{"slug":"fireworks-ai","name":"Fireworks AI","domain":"fireworks.ai","verdict":"As of 2026-07-15, ChatGPT, Claude, Gemini, Grok collectively rank Fireworks AI first for serverless llm inference api (one of 2 leaderboards it appears on). Source: https://modelsagree.com/product/fireworks-ai (modelsagree.com, CC BY 4.0).","best_rank":1,"categories":2,"brief":{"category":"best-serverless-llm-inference-api","title":"Best serverless LLM inference API","rank":1,"of":8,"top":null,"day":"2026-07-16","why":[{"t":"fast, no-cold-start serving","m":["ChatGPT","Claude","Gemini","Grok"],"q":"fast, no-cold-start serving"},{"t":"day-0 new model support","m":["Claude","Grok"],"q":"day-0 new model support"},{"t":"structured JSON generation and tool-calling","m":["Claude","Gemini"],"q":"outstanding support for structured JSON generation, fast tool-calling performance"},{"t":"fine-tuning and custom LoRA hosting","m":["ChatGPT","Gemini","Grok"],"q":"custom LoRA hosting"}],"gap":[],"fix":[{"t":"shared serverless latency can still vary","m":["ChatGPT"],"q":"Shared serverless latency can still vary"},{"t":"model selection narrower than Together","m":["Claude","Gemini"],"q":"Curated model list is narrower than Together AI"},{"t":"pricing sits at a premium","m":["ChatGPT","Claude","Gemini","Grok"],"q":"pricing sits at a premium over budget hosts"}]},"entries":[{"slug":"best-serverless-llm-inference-api","title":"Best serverless LLM inference API","rank":1,"of":8,"score":17,"appearances":4,"modelRanks":{"ChatGPT":1,"Claude":2,"Gemini":2,"Grok":2},"reason":"Best overall balance of fast, no-cold-start serving, strong open-model coverage, OpenAI-compatible APIs, prompt caching, batch discounts, fine-tuning, and a clean path to higher-reliability or dedicated capacity; narrowly beats Together for production ergonomics.","reasons":[{"model":"ChatGPT","reason":"Best overall balance of fast, no-cold-start serving, strong open-model coverage, OpenAI-compatible APIs, prompt caching, batch discounts, fine-tuning, and a clean path to higher-reliability or dedicated capacity; narrowly beats Together for production ergonomics."},{"model":"Claude","reason":"Fastest to serve new open models day-one, excellent latency via its custom serving stack, and the best developer surface for production apps — reliable function calling, structured/JSON output, grammar mode, plus SOC 2/HIPAA compliance that matters once a prototype becomes a product; near-tie with Together, edged out only on catalog breadth."},{"model":"Gemini","reason":"Engineered for production agent architectures with outstanding support for structured JSON generation, fast tool-calling performance, and custom LoRA hosting."},{"model":"Grok","reason":"blazing serverless speed via FireAttention engine, day-0 new model support, strong multimodal/fine-tuning/production features with clean API"}],"fixes":[{"model":"ChatGPT","fix":"Shared serverless latency can still vary, while priority and dedicated tiers materially increase cost."},{"model":"Claude","fix":"Smaller model selection than Together or DeepInfra, and pricing sits at a premium over budget hosts — not the pick for cost-driven batch workloads."},{"model":"Gemini","fix":"Curated model list is narrower than Together AI, and pricing is higher compared to budget-focused providers."},{"model":"Grok","fix":"lower per-token pricing to compete better at high volume"}],"updated":"2026-07-15","rank_history":{"days":["2026-06-29","2026-06-30","2026-07-08","2026-07-09","2026-07-10","2026-07-12","2026-07-13","2026-07-14","2026-07-15"],"ranks":[2,2,3,2,1,2,2,1,1]},"reasoning_shift":[{"model":"Gemini","from":"2026-07-14","to":"2026-07-15","added":[{"t":"production agent architectures","q":"Engineered for production agent architectures"},{"t":"fast tool-calling performance","q":"fast tool-calling performance"},{"t":"pricing is higher","q":"pricing is higher compared to budget-focused providers"}],"dropped":[{"t":"custom FireAttention inference engine","q":"custom FireAttention inference engine"},{"t":"serverless on-demand loading","q":"serverless on-demand loading of custom LoRA adapters without paying for dedicated GPU warm-time"},{"t":"lacks high-level visual tools","q":"lacks high-level visual tools or extensive managed pipelines"}]},{"model":"Claude","from":"2026-07-13","to":"2026-07-14","added":[{"t":"Day-one open model availability","q":"Fastest to serve new open models day-one"},{"t":"Grammar mode","q":"grammar mode"},{"t":"SOC 2/HIPAA compliance","q":"SOC 2/HIPAA compliance"}],"dropped":[{"t":"Solid fine-tuning","q":"solid fine-tuning"}]}],"api":"https://modelsagree.com/api/v1/best/best-serverless-llm-inference-api.json"},{"slug":"best-fine-tuning-platform","title":"Best fine-tuning platform","rank":4,"of":10,"score":8,"appearances":2,"modelRanks":{"ChatGPT":1,"Grok":3},"reason":"Best overall balance of model breadth, low transparent training costs, and production deployment; supports LoRA and full-parameter SFT, DPO, and reinforcement fine-tuning across major open-weight families. Near-tied with Together AI, winning for its broader post-training stack.","reasons":[{"model":"ChatGPT","reason":"Best overall balance of model breadth, low transparent training costs, and production deployment; supports LoRA and full-parameter SFT, DPO, and reinforcement fine-tuning across major open-weight families. Near-tied with Together AI, winning for its broader post-training stack."},{"model":"Grok","reason":"Optimized high-speed inference with integrated fine-tuning (LoRA/RFT), fast deployment of custom models at same per-token rates, and strong post-training stack for real-time applications"}],"fixes":[{"model":"ChatGPT","fix":"Fine-tuned models can require paid deployment capacity, making low-volume serving less economical."},{"model":"Grok","fix":"Expand model catalog breadth beyond top open-source options and reduce dedicated endpoint provisioning times"}],"updated":"2026-07-15","rank_history":{"days":["2026-06-29","2026-06-30","2026-07-08","2026-07-09","2026-07-10","2026-07-12","2026-07-13","2026-07-14","2026-07-15"],"ranks":[4,6,2,3,1,4,6,6,5]},"reasoning_shift":[{"model":"ChatGPT","from":"2026-07-14","to":"2026-07-15","added":[{"t":"Low transparent training costs","q":"low transparent training costs"}],"dropped":[{"t":"Strong deployment performance","q":"strong deployment performance"},{"t":"Useful multi-LoRA serving","q":"useful multi-LoRA serving"}]}],"api":"https://modelsagree.com/api/v1/best/best-fine-tuning-platform.json"}],"page":"https://modelsagree.com/product/fireworks-ai","check":"https://modelsagree.com/check?q=Fireworks%20AI","updated":"2026-08-10T18:18:45.051Z","attribution":"modelsagree.com, CC BY 4.0"}