OfoxAI

OfoxAI's strongest argument is arithmetic. Most gateways take a markup on inference, so a $4/M input model quietly costs you $4.60 or $5. OfoxAI takes 0% and quotes the provider's own card — GPT-6.1 Sol at $2/M in and $10/M out, Claude Opus 5.5 at $4/M and $20/M, Gemini 3.8 Flash at $0.75/M and $3.75/M — then returns up to 7% as automatic volume credit as spend scales. On a $10k/month inference bill that is a six-figure annualized difference versus a percentage-fee gateway, and it's the kind of number a finance reviewer can verify against the provider's own pricing page. The routing layer itself is deliberately unambitious in a useful way. Three protocols — OpenAI-compatible, Anthropic Messages and Gemini generateContent — mean migration is usually a base-URL change plus the existing SDK, and the docs publish curl for each. The model catalog is broad rather than deep: 123 text, 18 image, 12 video, 4 embedding and 3 transcription entries, spanning OpenAI, Anthropic, Google, DeepSeek, xAI, Qwen, Zhipu (GLM-5.3), Moonshot (Kimi K3) and Alibaba's Wan 3.0 video models at 1080p and 2–30s durations with per-second pricing from $0.054/s. Image work runs through GPT Image 2.5 Flare and Sunburst. For a team shipping a chat feature, an image tool and a video tool, that is one credential, one invoice and one attribution dashboard instead of five vendor relationships. Governance is where it earns 'Enterprise' in the plan name. Per-key and per-user budgets with daily, weekly or monthly ceilings, automatic rate limiting, role-based team management, an audit trail, and a usage dashboard that attributes cost, tokens and cache hit/miss to a specific model, member, API key or app. Cache reads and writes are priced on their own line rather than folded into input tokens, so you can actually see whether prompt caching is paying off. Where it falls short, it says so itself, which is rarer than it should be. The observability story — opt-in prompt and response logging streamed to Langfuse, Datadog or Weave — is marked coming soon, so trace-level debugging has to live in your own stack for now. SOC 2 Type II is described as an audit underway, not issued; if a security review gates your procurement this quarter, that's a blocking gap and OfoxAI's own page tells you so. The 99.9% SLA covers Ofox platform availability only and explicitly excludes upstream provider outages — worth understanding before you promise an uptime number internally. And it is a hosted, cloud-routed product: no on-device or air-gapped inference, no fine-tuning or custom training on your data. Solo builders running one cheap model at low volume gain little from a routing layer beyond an extra hop. Net: OfoxAI is the gateway to pick when fee transparency and multi-provider breadth matter more than in-gateway tracing, and when your compliance window can absorb a pending SOC 2.