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Model Pareto

Qwen3.8 Flash-Next

Alibaba QwenOpen weightshuggingface.co ↗
Input
$0.15/M tok
Output
$0.47/M tok
Blended
$0.23/M tok · 3:1
Speed
54tok/s
Context
262Ktokens

Open weights (125B total / 6B active); price is the hosted Qwen3.8-Flash.

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
2× B200 180GB
FP8 weights
Throughput
~12,519 tok/s
many requests batched
Price
$0.098–0.87 /M tok
busy → light use
On your own machine
Mac Studio M5 Max 128GB (int4, ~140 tok/s single-stream)
single consumer GPU or Mac
Assumptions (5)
  • FP8 weights (180B params, 6B active per token) + 25% KV-cache headroom ≈ 225 GB
  • 2× B200 180GB at $5.98–$14.24/GPU-hour on-demand (2026-09-24)
  • ~12,519 output tok/s aggregate at batch 358 (bandwidth-bound); MoE compute scales with active params
  • Blended 3:1 input:output; prefill ~354,375 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

Hard reasoning

Agents

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.