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Model Pareto

K2 Think V2

MBZUAI Institute of Foundation ModelsOpen weightsartificialanalysis.ai ↗
Input
—
Output
—
Speed
~74tok/sest.
Context
262Ktokens

Long-tail import from Artificial Analysis (2026-09-24); AA variant: K2 Think V2. Price = AA median host price.

Rankings

Self-hostingEstimated

How we estimate →

What it would cost to run these open weights yourself on rented GPUs. No API sells this model, so this is its price on the chart.

Hardware
1× B200 180GB
FP8 weights
Throughput
~2,239 tok/s
many requests batched
Price
$0.36–3.22 /M tok
busy → light use
On your own machine
Mac Studio M5 Max 128GB (int4, ~12 tok/s single-stream)
single consumer GPU or Mac
Assumptions (5)
  • FP8 weights (72.5B params) + 25% KV-cache headroom ≈ 91 GB
  • 1× B200 180GB at $5.98–$14.24/GPU-hour on-demand (2026-09-24)
  • ~2,239 output tok/s aggregate at batch 64 (bandwidth-bound)
  • Blended 3:1 input:output; prefill ~14,664 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.

Writing & chat

Hard reasoning

Agents