X-AXIS
Y-AXIS
● dot size = log₁₀(total params) · ✓ white ring = lab-disclosed training cost · hover any dot for details
◆ COMPOSITE INTELLIGENCE SCORE & DERIVED METRICS
CIS = MMLU×0.15 + MMLU-Pro×0.30 + GPQA◆×0.35 + HLE×0.20
MMLU near-saturated (91% ceiling); GPQA◆ best discriminator 2024+
cost_mid = (low_est + high_est) / 2
H100 SXM5: 1,979 TFLOPS bf16 · MFU 38% → 751.6 TFLOPS eff.
cost/token = cost_mid / train_tokens_est
Energy: GPU-hrs × 700W TDP × PUE 1.3 (hyperscale DC)
int/$ = CIS / cost_mid · int/tok$ = CIS / cost_per_token
CO₂: 0.400 kg/kWh (IEA 2024 global electricity average)