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Model Pareto

Exaone 4.0 1.2B

LG AI Research (EXAONE)Open weightsartificialanalysis.ai ↗
Input
—
Output
—
Speed
~140tok/sest.
Context
64Ktokens

Long-tail import from Artificial Analysis (2026-09-24); AA variant: Exaone 4.0 1.2B (Non-reasoning). 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× H200 141GB
BF16 weights
Throughput
~18,059 tok/s
many requests batched
Price
$0.024–0.20 /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 (1.28B params) + 25% KV-cache headroom ≈ 3 GB
  • 1× H200 141GB at $3.59–$7.91/GPU-hour on-demand (2026-09-24)
  • ~18,059 output tok/s aggregate at batch 256 (bandwidth-bound)
  • Blended 3:1 input:output; prefill ~182,540 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

~#11 of 12 (estimated)~62.1%
  1. #1Kimi K384.8%
  2. #2Qwen3.8 27B84.3%
  3. #10Muse Glimmer65.9%
  4. ~#11Exaone 4.0 1.2BEstimated62.1%
  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. ~#3Exaone 4.0 1.2BEstimated53.8%
  4. #3GPT-5.6 Terra50.2%
No published score — estimated from related benchmarks
BrowseCompEstimated
~#17 of 18 (estimated)~31.2%
  1. #1Atria Dawn Preview92.5%
  2. #2GPT-6 Astra91.5%
  3. #16Nemotron 3 Ultra44.4%
  4. ~#17Exaone 4.0 1.2BEstimated31.2%
  5. #17Mistral Small 421.3%
No published score — estimated from related benchmarks
~#53 of 87 (estimated)~723 Elo
  1. #1Claude Opus 5.51846
  2. #2Claude Fable 5.11735
  3. #52Ring-2.6-1T734
  4. ~#53Exaone 4.0 1.2BEstimated723
  5. #53KAT Coder Pro V2720
No published score — estimated from related benchmarks
~#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. ~#74Exaone 4.0 1.2BEstimated0.3%
  5. #74gpt-oss-120b0.2%
No published score — estimated from related benchmarks
~#89 of 89 (estimated)~3.2%
  1. #1Muse Spark 1.350.5%
  2. #2GLM-5.350.3%
  3. #88Llama 4 Scout3.3%
  4. ~#89Exaone 4.0 1.2BEstimated3.2%
No published score — estimated from related benchmarks