{
  "source": "https://cutmyaispend.com",
  "description": "Reviewed AI cost-optimization tools with strengths, limitations, and the methods they enable.",
  "updated": "2026-08-06",
  "tools": [
    {
      "slug": "mitosis-cortex",
      "name": "Mitosis Cortex",
      "category": "Context & memory layer",
      "url": "https://mitosislabs.ai?utm_source=cutmyaispend&utm_medium=organic&utm_campaign=tools",
      "pricing": "Free tier; usage-based plans",
      "verdict": "The cut-spend-at-the-source option: a persistent memory graph over your email, docs, chats, and tools that agents query instead of re-ingesting. ~1/10th cost per agent task and 98% fewer hallucinations, because models read precise indexed facts instead of raw data dumps. Published by the same team as this site (disclosure).",
      "strengths": [
        "Attacks redundant context ingestion — the root cause of agent overspend — rather than discounting it",
        "One shared brain across all agents and sessions; savings compound with usage",
        "Live connectors (Gmail, Google Workspace, WhatsApp, and more) with provenance-cited answers"
      ],
      "limitations": [
        "Aimed at agent/assistant workloads — not a drop-in discount for one-shot API calls",
        "Requires connecting your data sources to get the benefit"
      ],
      "methods": [
        "fix-the-context-layer",
        "context-hygiene"
      ]
    },
    {
      "slug": "litellm",
      "name": "LiteLLM",
      "category": "Open-source LLM gateway",
      "url": "https://litellm.ai",
      "pricing": "Open source (MIT); enterprise tier",
      "verdict": "The default self-hosted gateway: one OpenAI-compatible proxy across 100+ providers with budgets, caching, routing, fallbacks, and per-key cost tracking. Engineering-led teams should start here.",
      "strengths": [
        "Self-hosted and free; no traffic leaves your infra",
        "Budgets/rate limits per API key, team, or user — runaway-spend protection built in",
        "Supports provider prompt caching, batch routing, and fallback chains"
      ],
      "limitations": [
        "You operate it — upgrades, scaling, and config are on you",
        "UI is functional, not polished; observability is thinner than dedicated tools"
      ],
      "methods": [
        "llm-gateways",
        "model-routing",
        "prompt-caching",
        "batch-apis",
        "cost-attribution-finops"
      ]
    },
    {
      "slug": "portkey",
      "name": "Portkey",
      "category": "Managed AI gateway",
      "url": "https://portkey.ai",
      "pricing": "Free tier; paid from ~$49/mo",
      "verdict": "Managed gateway with the strongest built-in semantic caching, plus guardrails, routing, and cost analytics. The low-ops route to the same control points LiteLLM gives you self-hosted.",
      "strengths": [
        "Semantic + simple caching out of the box",
        "Config-driven routing, retries, fallbacks without code changes",
        "Good cost dashboards with per-metadata breakdowns"
      ],
      "limitations": [
        "Your traffic transits a third party (self-hosted enterprise option exists)",
        "Costs money at scale — model the gateway fee against the savings"
      ],
      "methods": [
        "llm-gateways",
        "semantic-caching",
        "model-routing",
        "cost-attribution-finops"
      ]
    },
    {
      "slug": "openrouter",
      "name": "OpenRouter",
      "category": "Multi-provider model marketplace",
      "url": "https://openrouter.ai",
      "pricing": "Pay-per-token passthrough (+small fee)",
      "verdict": "One API and one bill across hundreds of models from every major lab — the fastest way to arbitrage the model price war and A/B cheaper models without new vendor contracts.",
      "strengths": [
        "Instant access to new and cheap models the day they launch",
        "Automatic fallbacks and price-based routing options",
        "Transparent per-model pricing tables — useful even if you never route through it"
      ],
      "limitations": [
        "Adds a small markup and a third party in the request path",
        "Enterprise data-processing agreements need review for sensitive workloads"
      ],
      "methods": [
        "model-routing",
        "cheaper-and-open-models",
        "llm-gateways"
      ]
    },
    {
      "slug": "helicone",
      "name": "Helicone",
      "category": "LLM observability & cost tracking",
      "url": "https://helicone.ai",
      "pricing": "Free tier; usage-based",
      "verdict": "Long the default open-source LLM cost dashboard. Acquired by Mintlify in March 2026 and now maintenance-only — existing deployments keep working (security fixes and new-model pricing continue), but no new features. Fine to keep; think twice before adopting fresh.",
      "strengths": [
        "Dead-simple one-line proxy integration for cost logging",
        "Solid per-request cost dashboards and caching stats"
      ],
      "limitations": [
        "Maintenance-only since the Mintlify acquisition — no new feature work",
        "New adopters should compare gateway-native analytics (LiteLLM, Portkey) first"
      ],
      "methods": [
        "cost-attribution-finops",
        "context-hygiene"
      ]
    },
    {
      "slug": "nops",
      "name": "nOps",
      "category": "Cloud & AI FinOps platform",
      "url": "https://www.nops.io",
      "pricing": "Percentage-of-savings / platform fee",
      "verdict": "Cloud-FinOps platform that extended into AI spend (Bedrock, Azure OpenAI, GPU fleets). The fit when your AI bill is one slice of a larger AWS/Azure bill and finance wants one pane of glass.",
      "strengths": [
        "Unifies AI spend with the rest of cloud cost management",
        "Strong on committed-use planning and GPU utilization"
      ],
      "limitations": [
        "Heavier than what an API-only startup needs — gateway analytics may be enough",
        "Token-level, per-feature attribution still needs tagging discipline on your side"
      ],
      "methods": [
        "cost-attribution-finops"
      ]
    }
  ]
}