llm_model_prices
shallowio.github.code0xff/1gateway · Verify this server
Use when an agent must price an LLM call or pick the cheapest model. Input: model (up to 5, comma list) plus optional input_tokens, output_tokens, requests; or no model plus mode, provider, min_context, capabilities (vision, function_calling...). Output: JSON USD per 1M input/output tokens, cached/batch prices, context window, provider, capabilities, cost estimate or cheapest ranking, as_of + source commit. Example: ?model=gpt-4o&input_tokens=12000&output_tokens=800 Price: $0.004 USDC via x402.
1 trials · measured today
llm_model_prices scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.code0xff/1gateway, measured 20 Oct 2026 under methodology v0.2.0. Every measured component scored 100.
Component breakdown
| Component | Weight | Value |
|---|---|---|
| Reliability | 35% | not applicable |
| Schema integrity | 25% | 100.0 |
| Failure behaviour | 15% | not applicable |
| Latency | 15% | not applicable |
| Concurrency | 10% | not applicable |
Tool details
- Transport
- remote
- Credential class
- self-provisionable
- Input schema
- not declared
- Output schema
- not declared
- Side-effect classification
- unclassified
Score history
| Day | Score | Tier | Methodology |
|---|---|---|---|
| 2026-10-20 | 100.0 | shallow | v0.2.0 |
Probe evidence
| Probe | Outcomes |
|---|---|
| schema_integrity | pass: 1 |
Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.
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