Not Diamond routes queries to the best model. LLMWise does that too with Auto mode, then adds compare, blend, judge, mesh failover, BYOK, and optimization policy for a complete production stack.
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This comparison covers where teams typically hit friction moving from Not Diamond to a multi-model control plane.
| Capability | Not Diamond | LLMWise |
|---|---|---|
| Smart model routing | Yes | Yes (Auto mode) |
| Compare/blend/judge modes | No | Built-in |
| Circuit breaker failover | No | Built-in mesh routing |
| BYOK multi-provider keys | No | Yes |
| Optimization policy + replay + snapshots | Routing predictions only | Full policy stack |
Not Diamond focuses narrowly on routing queries to the best model. LLMWise provides routing plus five orchestration modes (chat, compare, blend, judge, mesh), circuit breaker failover, BYOK, and a complete optimization stack.
LLMWise Auto mode uses zero-latency heuristic routing with no added latency for model selection, while Not Diamond's ML-based routing adds inference overhead to every request for the routing prediction itself.
The optimization policy in LLMWise lets you enforce explicit cost, latency, and reliability constraints on routing decisions, giving you governance controls that Not Diamond's prediction-based routing does not provide.
Replay lab and optimization snapshots in LLMWise create a continuous improvement loop for routing quality, with drift alerts that notify you when recommendations change — capabilities that go beyond Not Diamond's one-shot routing predictions.
POST /api/v1/chat
{
"model": "auto",
"optimization_goal": "cost",
"messages": [{"role": "user", "content": "..." }],
"stream": true
}Credit-based pay-per-use with token-settled billing. No monthly subscription. Paid credits never expire.
Replace multiple AI subscriptions with one wallet that includes routing, failover, and optimization.
Pricing changes, new model launches, and optimization tips. No spam.