OpenAI: GPT-3.5 Turbo 16k
openai/gpt-3.5-turbo-16k
Cheapest provider
$3.00 / 1M
Azure
Fastest provider (p95)
69 tok/s
OpenAI
Intelligence (estimated)
64.5
Family + generation + popularity + price tier
Per-provider performance
Latency / throughput / uptime measured across providers over the last 30 minutes of live traffic. Atlas’s router weighs these per call (with the eval-gate signal) when picking a variant for Standard and Batch tiers.
| Provider | Quant | Input $/1M | Output $/1M | Latency p50 / p95 | Throughput p50 / p95 | Uptime 30m | Success |
|---|---|---|---|---|---|---|---|
| Azure | full· unknown | $3.0000 | $4.0000 | — | — | — | 100.0% |
| OpenAI | full· unknown | $3.0000 | $4.0000 | 831ms / 1006ms | 38.5 / 68.9 tok/s | — | 100.0% |
“—” means live telemetry hasn’t accumulated enough recent traffic for that endpoint. “undisclosed” means the provider serves the model but doesn’t expose the quantization label (typically running fp8 / int8 internally).
Intelligence estimate
No public benchmark numbers indexed for this model yet, so the leaderboard score is derived from the catalogue data we sync: model family standing, generation, and live usage rank — applied identically to open- and closed-weight models. The heuristic ceiling sits below confirmed-benchmark frontier models so curated rankings stay clearly on top.
- ·openai legacy family base
- ·v3.5 generation +3
Want a curated score? File a benchmark report and we’ll add it to the next sync.
How Atlas routes OpenAI: GPT-3.5 Turbo 16k
- Realtime tier — direct passthrough at the upstream’s native precision. Best for hard latency / quality guarantees.
- Standard tier — Atlas picks the cheapest provider variant whose quantization has stayed green on your operation’s eval gates. For OpenAI: GPT-3.5 Turbo 16k that’s currently Azure at $3.00/1M.
- Batch tier — async, biggest discount. Roadmapped to use provider batch APIs (OpenAI / Anthropic) where available and queued spot capacity for open-weight workloads.