AI API Router Directory

Vertex AI serves Google's Gemini models through Google Cloud's paid API (aiplatform.googleapis.com), with project-level billing and a choice between global and non-global endpoints; the generative-AI pricing URL now renders as the Agent Platform (Gemini Enterprise Agent Platform) pricing page. Published list prices per 1M tokens: Gemini 3.8 / 3.7 / 3.6 Flash are on introductory pricing of $0.75 input and $3.75 output through December 31, 2026, rising to $1.50 and $7.50 on January 1, 2027, while Gemini 3.5 Flash-Lite is $0.30 input and $2.50 output and Gemini 2.5 Flash is $0.30 and $2.50. The Vertex pricing page states no standing free monthly token allowance for Gemini; Google's free-tier documentation instead gives $300 in 90-day Free Trial credit and a separate free tier for many Gemini models under the Gemini Developer API (AI Studio).

Google Cloud Free Trial gives $300 in Welcome credit valid for 90 days for eligible new billing accounts (cloud.google.com/free/docs/free-cloud-features); the Vertex generative-AI pricing page itself lists no free token allowance but does include 5,000 free grounding queries per month across Gemini 3 models.

Electron Hub provides a unified API to 600+ models, including premium frontier models (GPT, Claude, Gemini). It offers weekly credit refills on both free and paid subscription plans, plus permanent top-ups.

$0.25 weekly credits on the Free plan.

Venice (venice.ai) — privacy-focused web app (anonymous or zero-retention) for chat, image, video and audio, known for self-hosted open-weight models plus TEE-hosted closed models. Unofficial browser/cookie integration (merged into existing 'venice' row).

Credits are USD-denominated; Pro $18/mo → $1 credit, Pro+ $68/mo → $75 credit (10% bonus), Max $200/mo → $225 credit (12.5% bonus).

Hugging Face Inference Providers routes one API key across 200+ models from multiple inference providers at the providers' own rates — no markup. Every user gets monthly credits ($0.10 on the Free plan; $2.00 PRO; $2.00/seat Team & Enterprise) applied automatically before pay-as-you-go; a BYOK mode routes through your own provider keys instead.

Official docs: $0.10/month Inference-Providers credits for Free users (PRO $2.00/month, Team/Enterprise $2.00/seat), credited monthly and applied before pay-as-you-go (confirmed 2026-09-16).

Blackbox AI now presents itself as enterprise inference rather than a consumer coding tool: its pricing page shows a single Enterprise plan with custom, annual, purchase-order committed spend and no free or individual tiers. Pricing is per token against published list rates across a 300+ model catalog served from one OpenAI-compatible endpoint, for example deepseek-v4.1-flash at $0.15 input / $0.60 output per 1M tokens and kimi-k3 at $3.00 / $15.00 per 1M, with commitments drawn down as usage is consumed and spend alerts at 75% and 90%. The same pages state end-to-end encryption on every connection, contractual zero data retention, PII removal before prompts reach closed models, dedicated single-tenant deployment and implementation included at $0 with a forward-deployed engineer.

No free tier stated on official pages (blackbox.ai, blackbox.ai/pricing and docs.blackbox.ai all present enterprise per-token commits only, checked 2026-09-16).

Clarifai provides a production-ready AI API for developers, offering an OpenAI-compatible endpoint to run inferences on Clarifai-hosted models from labs like Meta, Google, and Mistral, alongside their own specialized vision and NLP models.

No public free-tier information found in the source reference; treat free-tier availability as unverified rather than confirmed absent.

DGrid AI is a decentralized AI network that routes requests across a distributed mesh of nodes. It features an OpenAI-compatible gateway and is integrated into tools like Chatbox and Claude Code. Operates with on-chain transparency.

No public free-tier information found in the source reference; treat free-tier availability as unverified rather than confirmed absent.

Databricks Foundation Model Serving prices inference in Databricks Units (DBUs) on a pay-as-you-go basis with per-second granularity, no up-front cost and no published monthly platform floor. Per-model DBU rates per 1M tokens are public: Llama 3.3 70B at 7.143 input / 21.429 output, GPT-OSS-20B at 1.000 / 4.286, Llama 3.1 8B at 2.143 / 6.429, and Kimi K3 at 42.857 / 214.286 with a 4.286 cache-read rate. Databricks states the DBU price on the Serverless Real-time Inference SKU is $0.07 per DBU in the base region (us-east-1 for AWS, us-central1 for GCP, eastus for Azure), and the page offers a 14-day free trial without disclosing a fixed credit amount.

No dollar-denominated free credit is published: the pricing page offers a 14-day free trial and states that trial credit eligibility, amount and expiry are determined solely by Databricks after account creation (checked 2026-09-16).

DeepInfra is an OpenAI-compatible inference cloud for open-weight models, with per-token rates published on a single pricing page. Examples from that page: DeepSeek-V4-Flash-0731 at $0.06 per 1M input tokens ($0.015 cached) and $0.18 per 1M output; Qwen3.5-9B at $0.10/$0.15; DeepSeek-V3.2 at $0.26/$0.38; Kimi-K3 at $2.85 per 1M input and $14.25 per 1M output; embeddings from $0.005 per 1M input tokens. Models without fixed token rates are billed on execution time, and custom LLM deployments are billed per minute of GPU uptime across A100 ($0.89/GPU-hour) through B300 ($4.89/GPU-hour). There is no free credit: the pricing page states you must add a card or pre-pay before you can use the service.

No free tier stated on official pages (checked 2026-09-16): deepinfra.com/pricing states that you must add a card or pre-pay before using the service, with no starter credit offered.

Huancheng Public API is a high-concurrency AI model router based on the New-API framework. It aggregates multiple upstream providers including OpenAI, Anthropic, and Google, offering a stable and low-latency endpoint for Chinese and global developers with real-time usage monitoring.

No public free-tier information found in the source reference; treat free-tier availability as unverified rather than confirmed absent.

Lambda sells NVIDIA GPU cloud rather than a token-metered API. Self-serve instance pricing is per GPU-hour: NVIDIA B200 SXM6 at $6.69, H100 SXM at $3.99, A100 SXM 80GB at $2.79, A100 SXM 40GB at $1.99, GH200 96GB at $2.29, A10 at $1.29, A6000 at $1.09 and Tesla V100 at $0.79, all plus applicable sales tax/VAT/GST. 1-Click Clusters scale from 16 to 2,000+ GPUs on 2-week-to-1-year terms at $8.87-$9.86 per GPU-hour for HGX B200 and $5.54-$6.16 for H100. Lambda's own Inference API is being retired: the official page states that "as the Inference API winds down" customers should continue by deploying and scaling models on NVIDIA GPU instances.

No free tier stated on official pages (checked 2026-09-16): lambda.ai/pricing lists only per-GPU-hour instance and cluster rates plus tax, with no trial credit or free allowance.