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Model Pareto

Motif 3

Motif TechnologiesOpen weightsartificialanalysis.ai ↗
Input
—
Output
—
Speed
~96tok/sest.
Context
262Ktokens

Long-tail import from Artificial Analysis (2026-09-24); AA variant: Motif 3. 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
4× B200 180GB
FP8 weights
Throughput
~19,600 tok/s
many requests batched
Price
$0.13–1.19 /M tok
busy → light use
On your own machine
Mac Studio M5 Ultra 512GB (int4, ~130 tok/s single-stream)
single consumer GPU or Mac
Assumptions (5)
  • FP8 weights (314B params, 13.2B active per token) + 25% KV-cache headroom ≈ 393 GB
  • 4× B200 180GB at $5.98–$14.24/GPU-hour on-demand (2026-09-24)
  • ~19,600 output tok/s aggregate at batch 561 (bandwidth-bound); MoE compute scales with active params
  • Blended 3:1 input:output; prefill ~322,159 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

~#10 of 14 (estimated)~74.5%
  1. #1Claude Opus 596.0%
  2. #2Claude Sonnet 585.2%
  3. #9Xing4.0-29B-A4B75.0%
  4. ~#10Motif 3Estimated74.5%
  5. #10Claude Haiku 4.573.3%
No published score — estimated from related benchmarks
~#17 of 19 (estimated)~54.0%
  1. #1Claude Opus 5.589.9%
  2. #2Claude Sonnet 5.581.3%
  3. #15Gemini 3.5 Flash-Lite54.2%
  4. ~#17Motif 3Estimated54.0%
  5. #17Muse Glimmer51.2%
No published score — estimated from related benchmarks
DeepSWE v1.1Estimated
~#28 of 31 (estimated)~47.7%
  1. #1DeepSeek V4.1 Flash74.2%
  2. #2Grok 4.772.6%
  3. #27Qwen3.8 Max (0902)51.0%
  4. ~#28Motif 3Estimated47.7%
  5. #28Qwen3.8 27B42.2%
No published score — estimated from related benchmarks
LiveCodeBenchEstimated
~#7 of 20 (estimated)~77.9%
  1. #1Qwen3.8-Omni-Flash92.6%
  2. #2Qwen3.8 Flash-Next91.9%
  3. #6Gemma 4 31B80.0%
  4. ~#7Motif 3Estimated77.9%
  5. #7gpt-oss-20b77.7%
No published score — estimated from related benchmarks
~last of 15 (estimated)below measured range (<41.1)
  1. #1Claude Opus 5.566.0
  2. #2Claude Fable 5.162.2
  3. #14GPT-6 Luna41.1
  4. ~#15Motif 3Estimated<41.1
No published score — estimated from related benchmarks

Hard reasoning

Agents

~#2 of 116 (estimated)~96.0%
  1. #1Step 3.7 Flash98.5%
  2. ~#2Motif 3Estimated96.0%
  3. #2Gemini 3.1 Pro95.6%
No published score — estimated from related benchmarks
~#8 of 12 (estimated)~77.3%
  1. #1Kimi K384.8%
  2. #2Qwen3.8 27B84.3%
  3. #7GPT-5.578.7%
  4. ~#8Motif 3Estimated77.3%
  5. #8Gemini 3.5 Flash-Lite74.0%
No published score — estimated from related benchmarks
OSWorld 2.0Estimated
~last of 5 (estimated)below measured range (<47.5%)
  1. #1GLM-5.3 Flash59.1%
  2. #2Kimi K358.3%
  3. #4GPT-5.547.5%
  4. ~#5Motif 3Estimated<47.5%
No published score — estimated from related benchmarks
BrowseCompEstimated
~#14 of 18 (estimated)~82.9%
  1. #1Atria Dawn Preview92.5%
  2. #2GPT-6 Astra91.5%
  3. #13Nex-N2.5-Mini83.4%
  4. ~#14Motif 3Estimated82.9%
  5. #14Inkling77.1%
No published score — estimated from related benchmarks
~#18 of 87 (estimated)~1484 Elo
  1. #1Claude Opus 5.51846
  2. #2Claude Fable 5.11735
  3. #17GPT-6 Sol1487
  4. ~#18Motif 3Estimated1484
  5. #18Claude Sonnet 51449
No published score — estimated from related benchmarks
~#24 of 80 (estimated)~39.7%
  1. #1Claude Opus 5.569.5%
  2. #2DeepSeek V4.1 Flash68.9%
  3. #23GPT-5.547.3%
  4. ~#24Motif 3Estimated39.7%
  5. #24K2 Horizon 375B A23B37.2%
No published score — estimated from related benchmarks