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Google: Gemma 3 27B

google/gemma-3-27b-it

Googleopen-weight131K context5 providersIntelligence 66.3

Cheapest provider

$0.08 / 1M

DeepInfra

Fastest provider (p95)

58 tok/s

Parasail

Intelligence (composite)

66.3

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.

ProviderQuantInput $/1MOutput $/1MLatency p50 / p95Throughput p50 / p95Uptime 30mSuccess
DeepInfraq8· fp8$0.0800$0.1600916ms / 3916ms21 / 31 tok/s95.80%96.1%
Parasailq8· fp8$0.0800$0.45001206ms / 3339ms31 / 58 tok/s100.00%99.5%
Nebiusq8· fp8$0.1000$0.3000742ms / 2112ms19 / 48 tok/s99.87%99.9%
Phalaundisclosed$0.1100$0.4000810ms / 1728ms27 / 36 tok/s100.00%63.5%
Novitafull· bf16$0.1190$0.20002591ms / 29432ms15 / 29 tok/s98.34%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

64.3

broad reasoning

Code

79.2

pass@1 (HumanEval / LiveCodeBench)

MATH

75.2

math accuracy

GPQA Diamond

41.8

hard reasoning

Source: Gemma 3 technical report

How Atlas mode sources Google: Gemma 3 27B

  • Strict mode — pin Google: Gemma 3 27B exactly and we pass it straight through, sourced from the cheapest provider above. The same model, no substitutions — currently DeepInfra at $0.08/1M.
  • 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.