mcp-server — alternative #1 to Price Per Token
📇 ☁️ - LLM API pricing comparison and benchmarks across 100+ models from 30+ providers including OpenAI, Anthropic, Google, and Meta. No API...
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Recorded alternatives
Every candidate below sits in AI. What ends up on this page is decided entirely by a recorded score — not by bidding, not by editor taste. Review both records, check current vendor terms, then decide.
📇 ☁️ - LLM API pricing comparison and benchmarks across 100+ models from 30+ providers including OpenAI, Anthropic, Google, and Meta. No API...
📇 ☁️ 🏠 - Live LLM API pricing from modelpricewatch.com — current token prices, model comparisons, cheapest-model lookups, and The LLM Price...
MGM-FALCON/quelllm-mcp 🐍 ☁️ 🍎 🪟 🐧 - MCP server for — open-weights LLM catalog (250+ models with params, VRAM by quantization, tokens/sec, li...
Provider-agnostic TypeScript toolkit for building AI-powered applications and agents. Unified API for OpenAI, Anthropic, Google, and 20+ pro...
One beautiful Ruby API for OpenAI, Anthropic, Gemini, Bedrock, Azure, OpenRouter, DeepSeek, Ollama, and 15+ providers. Agents, Chat, Vision,...
High-performance in-browser LLM inference engine. Runs models directly in the browser with WebGPU acceleration.
Each candidate is a live catalogue record in the same primary category, picked by a deterministic score that Oryxen records in its catalogue: how many meaningful words the two listings share, whether their pricing classes oppose (a paid product against a free one), whether both are open source, and whether either record is featured. The same catalogue state always produces the same list — no randomness, no manual ranking.
No. Rows are ordered only by the recorded score, highest first, with alphabetical ties — payment never influences the order, nothing here is paid placement, and Oryxen charges no listing or placement fee.
Always verify current terms with Price Per Token directly — Oryxen records pricing classes, not live quotes.