Mistral: Mistral Nemo
mistralai/mistral-nemo
Cheapest provider
$0.02 / 1M
DeepInfra
Fastest provider (p95)
472 tok/s
DekaLLM
Intelligence (estimated)
54.0
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 |
|---|---|---|---|---|---|---|---|
| DeepInfra | q8· fp8 | $0.0200 | $0.0400 | 321ms / 677ms | 43 / 62.4 tok/s | 99.67% | 99.4% |
| DekaLLM | q8· fp8 | $0.0200 | $0.0300 | 1382ms / 5239ms | 9 / 472.4 tok/s | 97.35% | 98.0% |
| Novita | q8· fp8 | $0.0400 | $0.1700 | 784ms / 4980ms | 21 / 68 tok/s | 71.43% | 96.0% |
| Mistral | undisclosed | $0.1500 | $0.1500 | 291ms / 610ms | 77 / 132 tok/s | 99.74% | 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.
- ·mistral sm family base
Want a curated score? File a benchmark report and we’ll add it to the next sync.
How Atlas routes Mistral: Mistral Nemo
- 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 Mistral: Mistral Nemo that’s currently DeepInfra at $0.02/1M.
- Batch tier — async, biggest discount. Roadmapped to use provider batch APIs (OpenAI / Anthropic) where available and queued spot capacity for open-weight workloads.