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Model Pareto

Hy4 preview

Tencent HunyuanOpen weightshuggingface.co ↗
Input
$0.834/M tok
Output
$2.501/M tok
Blended
$1.251/M tok · 3:1
Speed
~78tok/sest.
Context
1Mtokens

Open weights (Apache 2.0), 770B total / 49B active MoE. Price per https://www.tencent.com/tencent-releases-and-open-sources-tencent-hy4-preview/ (Tencent Cloud TokenHub). Not on AA or LMArena yet; its GDPval-AA V2 and AutomationBench v1.0.6 figures use a different version than our AA benchmarks, so they are left out.

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
16× H200 141GB
FP8 weights
Throughput
~25,961 tok/s
many requests batched
Price
$0.33–2.71 /M tok
busy → light use
On your own machine
Mac Studio M5 Ultra 512GB (int4, ~34 tok/s single-stream)
single consumer GPU or Mac
Assumptions (5)
  • FP8 weights (770B params, 49B active per token) + 40% KV-cache headroom ≈ 1078 GB
  • 16× H200 141GB at $3.59–$7.91/GPU-hour on-demand (2026-09-24)
  • ~25,961 output tok/s aggregate at batch 1098 (bandwidth-bound); MoE compute scales with active params
  • Blended 3:1 input:output; prefill ~129,766 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

Hard reasoning