OpenAI-compatible API for multi-model routing, replay lab, policy guardrails, and failover mesh. Move from OpenRouter, Portkey, or LiteLLM in minutes.
Measurable outcomes: cost, latency, and reliability from your own production traces.
500 free credits. Start free and keep OpenAI-compatible requests.
Compare migration paths, policy controls, and optimization workflows.
No more switching between dashboards, managing API keys, or guessing which model is best.
Stop guessing whether GPT or Claude is better for your task. Compare them side-by-side on your actual prompts and see latency, cost, and quality differences instantly.
Why settle for one model's response? Blend combines the best parts from multiple models into a single, stronger answer. Or let Auto pick the ideal model per query.
Rate limited? API outage? Mesh auto-failovers to your backup chain in milliseconds. Circuit breakers, health checks, and routing traces built in.
Every mode is a different way to use multiple models together.
Same prompt hits 2-6 models simultaneously. Responses stream back in real-time with per-model latency, token counts, and cost.
POST /api/v1/compare
{
"models": ["gpt-5.2", "claude-sonnet-4.5",
"gemini-3-flash"],
"messages": [
{"role": "user", "content": "Explain quantum computing"}
],
"stream": true
}SRE patterns — health checks, circuit breakers, failover chains — applied to AI infrastructure.
OpenAI-compatible. Bring your credits or keys. Works with your stack.
import llmwise
client = llmwise.Client(api_key="mm_sk_...")
result = client.compare(
models=["gpt-5.2", "claude-sonnet-4.5", "gemini-3-flash"],
messages=[{"role": "user", "content": "Explain eventual consistency"}],
)
for r in result.responses:
print(f"{r.model}: {r.latency_ms}ms, ${r.cost:.4f}")
# result.fastest → "gemini-3-flash"
# result.cheapest → "claude-haiku-4.5"Buy credits. No subscription. No expiry. Use them whenever you need.
All plans include: BYOK support · API access · Streaming · Function calling · Image uploads
Run replay, set policy guardrails, and roll out model routing with confidence.