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DeepSeek: R1 0528

deepseek/deepseek-r1-0528

DeepSeekopen-weight164K context4 providersIntelligence 81.9

Cheapest provider

$0.50 / 1M

DeepInfra

Fastest provider (p95)

84 tok/s

DeepInfra

Intelligence (composite)

81.9

MMLU-Pro · HumanEval · math · GPQA

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.

ProviderQuantInput $/1MOutput $/1MLatency p50 / p95Throughput p50 / p95Uptime 30mSuccess
DeepInfraq4· fp4$0.5000$2.1500581ms / 1366ms55 / 84 tok/s99.70%100.0%
SiliconFlowq8· fp8$0.5000$2.18001816ms / 5808ms18 / 22 tok/s99.42%100.0%
AtlasCloudq8· fp8$0.5500$2.15003283ms / 6614ms21 / 29 tok/s100.00%100.0%
Novitaq8· fp8$0.7000$2.50002359ms / 3814ms22.5 / 24.8 tok/s100.0%

“—” 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 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

85.0

broad reasoning

Code

73.3

pass@1 (HumanEval / LiveCodeBench)

AIME 2025

87.5

math accuracy

GPQA Diamond

81.0

hard reasoning

Source: DeepSeek-R1-0528 model card (MMLU-Pro 85.0, GPQA-Diamond 81.0, LiveCodeBench 73.3, AIME25 87.5); huggingface.co/deepseek-ai/DeepSeek-R1-0528

How Atlas routes DeepSeek: R1 0528

  • 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 DeepSeek: R1 0528 that’s currently DeepInfra at $0.50/1M.
  • Batch tier — async, biggest discount. Roadmapped to use provider batch APIs (OpenAI / Anthropic) where available and queued spot capacity for open-weight workloads.