DeepSeek: R1 Distill Llama 70B
deepseek/deepseek-r1-distill-llama-70b
Cheapest provider
$0.70 / 1M
DeepInfra
Fastest provider (p95)
47 tok/s
DeepInfra
Intelligence (composite)
69.4
MMLU-Pro · HumanEval · math · GPQA
Per-provider performance
Latency / throughput / uptime / price measured across providers over the last 30 minutes of live traffic. This is what proves “sourced cheapest” — Atlas mode draws on these per call to serve the cheapest path that holds quality.
| Provider | Quant | Input $/1M | Output $/1M | Latency p50 / p95 | Throughput p50 / p95 | Uptime 30m | Success |
|---|---|---|---|---|---|---|---|
| DeepInfra | q8· fp8 | $0.7000 | $0.8000 | 583ms / 1968ms | 41 / 47 tok/s | 100.00% | 100.0% |
| Novita | full· bf16 | $0.8000 | $0.8000 | 596ms / 876ms | 44 / 47 tok/s | — | 97.9% |
“—” 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 breakdown
Composite score is a weighted average of public benchmarks (30% MMLU-Pro, 25% code pass@1, 25% math, 20% GPQA). Numbers come from model cards and the Artificial Analysis intelligence harness; missing components are renormalised over what’s present.
MMLU-Pro
69.2
broad reasoning
Code
57.5
pass@1 (HumanEval / LiveCodeBench)
MATH
94.5
math accuracy
GPQA Diamond
53.4
hard reasoning
Source: DeepSeek-R1 distill series (MATH-500 94.5, LiveCodeBench 57.5); DeepSeek-R1 technical report
How Atlas mode sources DeepSeek: R1 Distill Llama 70B
- Strict mode — pin DeepSeek: R1 Distill Llama 70B exactly and we pass it straight through, sourced from the cheapest provider above. The same model, no substitutions — currently DeepInfra at $0.70/1M.
- Atlas mode — the default. Each call is auto-optimized for the cheapest path that holds quality, at least 5% off going direct from call one and climbing as it ramps. You always see which model served the call and exactly what you saved — thumbs-down anything you don’t like for a full refund.