Model Parameters vs MMLU Score
Log x-axis · ◆ = MoE model · † = estimated params for closed models · hover for full details
Model Parameters vs Generation Speed
Tokens/second via provider API · Source: Artificial Analysis · ◆ = MoE · Log x-axis
Model Parameters vs Input Price ($/1M tokens)
Log-log scale · Open-source prices via hosted APIs (Together, Fireworks, etc.)
Performance vs Price — Efficiency Frontier
GPQA Diamond score vs input price · Bubble size ∝ total parameters · Upper-left = best value
⬆ Upper-left = high performance + low cost. Bubble size ∝ total parameters. ◆ diamonds = MoE architectures (active params far smaller than total).
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| Model | Provider | Type | Params (B) | MMLU | GPQA ◆ | SWE-bench | AIME 2025 | t/s | In $/1M | Out $/1M | Ctx (K) |
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