Skip to content
Model Pareto

Qwen3.8 27B

Alibaba QwenOpen weightshuggingface.co ↗
Input
$0.50/M tok
Output
$3.00/M tok
Blended
$1.125/M tok · 3:1
Speed
43tok/s
Context
262Ktokens

Open weights.

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
~4,301 tok/s
many requests batched
Price
$0.22–1.93 /M tok
busy → light use
On your own machine
RTX 5090 32GB (int4, ~90 tok/s single-stream)
single consumer GPU or Mac
Assumptions (5)
  • BF16 weights (27.8B params) + 25% KV-cache headroom ≈ 70 GB
  • 1× B200 180GB at $5.98–$14.24/GPU-hour on-demand (2026-09-24)
  • ~4,301 output tok/s aggregate at batch 123 (bandwidth-bound)
  • Blended 3:1 input:output; prefill ~19,121 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

Not comparable across labs (1)

Kept for reference, not counted in rankings: these use a lab-specific task set, answer key or scoring, so scores can't be compared fairly across labs. Only published scores are shown.

Writing & chat

Vision

Not comparable across labs (1)

Kept for reference, not counted in rankings: these use a lab-specific task set, answer key or scoring, so scores can't be compared fairly across labs. Only published scores are shown.

Hard reasoning

Agents