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Model Pareto

gpt-oss-20b

OpenAIOpen weightsartificialanalysis.ai ↗
Input
$0.07/M tok
Output
$0.18/M tok
Blended
$0.098/M tok · 3:1
Speed
181tok/s
Context
131Ktokens

Long-tail import from Artificial Analysis (2026-09-24); AA variant: gpt-oss-20b (high). Price = AA median host price. Weights ship in MXFP4 (card: "post-trained with MXFP4 quantization of the MoE weights … gpt-oss-20b … within 16GB of memory").

Rankings

Self-hostingEstimated

How we estimate →

What it would cost to run these open weights yourself on rented GPUs, compared with the API price above.

Hardware
1× B200 180GB
BF16 weights
Throughput
~11,917 tok/s
many requests batched
Price
$0.058–0.52 /M tok
busy → light use
On your own machine
RTX 5090 32GB (int4, 300+ tok/s single-stream)
single consumer GPU or Mac
Assumptions (5)
  • BF16 weights (21B params, 3.6B active per token) + 25% KV-cache headroom ≈ 53 GB
  • 1× B200 180GB at $5.98–$14.24/GPU-hour on-demand (2026-09-24)
  • ~11,917 output tok/s aggregate at batch 256 (bandwidth-bound); MoE compute scales with active params
  • Blended 3:1 input:output; prefill ~147,656 tok/s
  • Low = 75% utilization at the low GPU price; high = 20% at the high price

Benchmark scores

~ italic, dashed = no published score yet, estimated from related benchmarks.

Coding

Writing & chat

Hard reasoning

Agents