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Model Pareto

Olmo 3 7B Instruct

Ai2 (Allen Institute)Open weightsartificialanalysis.ai ↗
Compare with nearest rivalsCompare with…
Input
$0.10/M tok
Output
$0.20/M tok
Blended
$0.125/M tok · 3:1
Speed
~100tok/sest.
Context
66Ktokens

Long-tail import from Artificial Analysis (2026-09-24); AA variant: Olmo 3 7B 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, compared with the API price above.

Hardware
1× B200 180GB
BF16 weights
Throughput
~11,326 tok/s
many requests batched
Price
$0.072–0.64 /M tok
busy → light use
On your own machine
RTX 5090 32GB (int4, 300+ tok/s single-stream)
single consumer GPU or Mac
Assumptions (5)
  • BF16 weights (7.3B params) + 25% KV-cache headroom ≈ 18 GB
  • 1× B200 180GB at $5.98–$14.24/GPU-hour on-demand (2026-09-24)
  • ~11,326 output tok/s aggregate at batch 256 (bandwidth-bound)
  • Blended 3:1 input:output; prefill ~72,817 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 7B InstructEstimated<81.3%
No published score — estimated from related benchmarks
LMArena Text, Non-English (Elo)Estimated
~#49 of 54 (estimated)~1295 Elo
  1. #1Claude Opus 5.51501
  2. #2Claude Fable 5.1Few votes1496
  3. #48gpt-oss-20b1299
  4. ~#49Olmo 3 7B InstructEstimated1295
  5. #49Olmo 3.1 32B Instruct1294
No published score — estimated from related benchmarks
LMArena Text (Elo)Estimated
~#49 of 54 (estimated)~1321 Elo
  1. #1Claude Opus 5.51509
  2. #2Claude Fable 5.11501
  3. #48Molmo2-8BFew votes1322
  4. ~#49Olmo 3 7B InstructEstimated1321
  5. #49Ring-flash-2.01321
No published score — estimated from related benchmarks

Hard reasoning

AIME (latest)Estimated
~#20 of 25 (estimated)~25.0%
  1. #1Inkling97.1%
  2. #2Muse Glimmer94.7%
  3. #19Ministral 3 14B30.0%
  4. ~#20Olmo 3 7B InstructEstimated25.0%
  5. #20Ministral 3 3B22.0%
No published score — estimated from related benchmarks
AA Intelligence IndexEstimated
~#73 of 75 (estimated)~5.0
  1. #1Claude Opus 5.557.6
  2. #2Claude Sonnet 5.556.0
  3. #72Ministral 3 8B5.5
  4. ~#73Olmo 3 7B InstructEstimated5.0
  5. #73Ministral 3 3B4.8
No published score — estimated from related benchmarks

Agents

OSWorld-VerifiedEstimated
~#11 of 12 (estimated)~62.3%
  1. #1Kimi K384.8%
  2. #2Qwen3.8 27B84.3%
  3. #10Muse Glimmer65.9%
  4. ~#11Olmo 3 7B InstructEstimated62.3%
  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 7B InstructEstimated53.8%
  4. #3GPT-5.6 Terra50.2%
No published score — estimated from related benchmarks
BrowseCompEstimated
~#17 of 18 (estimated)~31.1%
  1. #1Atria Dawn Preview92.5%
  2. #2GPT-6 Astra91.5%
  3. #16Nemotron 3 Ultra44.4%
  4. ~#17Olmo 3 7B InstructEstimated31.1%
  5. #17Mistral Small 421.3%
No published score — estimated from related benchmarks
GDPval-AA (Elo)Estimated
~#56 of 87 (estimated)~688 Elo
  1. #1Claude Opus 5.51846
  2. #2Claude Fable 5.11735
  3. #55MiniCPM5-2B694
  4. ~#56Olmo 3 7B InstructEstimated688
  5. #56Nemotron 3.5 Lightning624
No published score — estimated from related benchmarks
AutomationBench-AAEstimated
~#74 of 80 (estimated)~0.3%
  1. #1Claude Opus 5.569.5%
  2. #2DeepSeek V4.1 Flash68.9%
  3. #72Granite 4.2 3B0.4%
  4. ~#74Olmo 3 7B InstructEstimated0.3%
  5. #74gpt-oss-120b0.2%
No published score — estimated from related benchmarks
τ-Bench Banking (AA)Estimated
~last of 89 (estimated)below measured range (<3.3%)
  1. #1Muse Spark 1.350.5%
  2. #2GLM-5.350.3%
  3. #88Llama 4 Scout3.3%
  4. ~#89Olmo 3 7B InstructEstimated<3.3%
No published score — estimated from related benchmarks