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Model Pareto

Olmo 3.1 32B Instruct

Ai2 (Allen Institute)Open weightsartificialanalysis.ai ↗
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Input
—
Output
—
Speed
~84tok/sest.
Context
66Ktokens

Long-tail import from Artificial Analysis (2026-09-24); AA variant: Olmo 3.1 32B Instruct. 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
~4,873 tok/s
many requests batched
Price
$0.16–1.46 /M tok
busy → light use
On your own machine
RTX 5090 32GB (int4, ~78 tok/s single-stream)
single consumer GPU or Mac
Assumptions (5)
  • FP8 weights (32.2B params) + 25% KV-cache headroom ≈ 40 GB
  • 1× B200 180GB at $5.98–$14.24/GPU-hour on-demand (2026-09-24)
  • ~4,873 output tok/s aggregate at batch 139 (bandwidth-bound)
  • Blended 3:1 input:output; prefill ~33,016 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

MMMLUEstimated
~last of 5 (estimated)below measured range (<81.3%)
  1. #1Gemini 3.1 Pro92.6%
  2. #2Gemma 4 31B88.4%
  3. #4gpt-oss-120b81.3%
  4. ~#5Olmo 3.1 32B InstructEstimated<81.3%
No published score — estimated from related benchmarks
LMArena Text, Non-English (Elo)Verified
#49 of 531294 Elo
  1. #1Claude Opus 5.51501
  2. #2Claude Fable 5.1Few votes1496
  3. #48gpt-oss-20b1299
  4. #49Olmo 3.1 32B Instruct1294
  5. #50Ring-flash-2.0Few votes1293
lmarena.ai · 2026-09-13
LMArena Text (Elo)Verified
#46 of 531330 Elo
  1. #1Claude Opus 5.51509
  2. #2Claude Fable 5.11501
  3. #45Llama 3.1 Nemotron Ultra 253B v1Few votes1348
  4. #46Olmo 3.1 32B Instruct1330
  5. #47Llama 4 Maverick1327
lmarena.ai · 2026-09-13
EQ-Bench Creative Writing v3 (Elo)Estimated
~#24 of 26 (estimated)~1254 Elo
  1. #1GPT-6 Astra2173
  2. #2Claude Fable 5.12162
  3. #23Gemma 4 31B1368
  4. ~#24Olmo 3.1 32B InstructEstimated1254
  5. #24gpt-oss-120b961
No published score — estimated from related benchmarks

Hard reasoning

AIME (latest)Estimated
~#14 of 25 (estimated)~39.0%
  1. #1Inkling97.1%
  2. #2Muse Glimmer94.7%
  3. #13Phi-4-reasoning-plus78.0%
  4. ~#14Olmo 3.1 32B InstructEstimated39.0%
  5. #14Mistral Large 338.0%
No published score — estimated from related benchmarks

Agents

OSWorld-VerifiedEstimated
~#11 of 12 (estimated)~62.4%
  1. #1Kimi K384.8%
  2. #2Qwen3.8 27B84.3%
  3. #10Muse Glimmer65.9%
  4. ~#11Olmo 3.1 32B InstructEstimated62.4%
  5. #11Claude Haiku 4.550.7%
No published score — estimated from related benchmarks
OSWorld 2.0Estimated
~#3 of 5 (estimated)~53.8%
  1. #1GLM-5.3 Flash59.1%
  2. #2Kimi K358.3%
  3. ~#3Olmo 3.1 32B InstructEstimated53.8%
  4. #3GPT-5.6 Terra50.2%
No published score — estimated from related benchmarks
BrowseCompEstimated
~#17 of 18 (estimated)~33.5%
  1. #1Atria Dawn Preview92.5%
  2. #2GPT-6 Astra91.5%
  3. #16Nemotron 3 Ultra44.4%
  4. ~#17Olmo 3.1 32B InstructEstimated33.5%
  5. #17Mistral Small 421.3%
No published score — estimated from related benchmarks
GDPval-AA (Elo)Estimated
~#56 of 87 (estimated)~694 Elo
  1. #1Claude Opus 5.51846
  2. #2Claude Fable 5.11735
  3. #55MiniCPM5-2B694
  4. ~#56Olmo 3.1 32B InstructEstimated694
  5. #56Nemotron 3.5 Lightning624
No published score — estimated from related benchmarks
τ-Bench Banking (AA)Estimated
~#89 of 89 (estimated)~3.1%
  1. #1Muse Spark 1.350.5%
  2. #2GLM-5.350.3%
  3. #88Llama 4 Scout3.3%
  4. ~#89Olmo 3.1 32B InstructEstimated3.1%
No published score — estimated from related benchmarks