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Model Pareto

LFM2.5-VL-1.6B

Liquid AIOpen weightsartificialanalysis.ai ↗
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Input
—
Output
—
Speed
~130tok/sest.
Context
32Ktokens

Long-tail import from Artificial Analysis (2026-09-24); AA variant: LFM2.5-VL-1.6B. 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
~16,055 tok/s
many requests batched
Price
$0.028–0.23 /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 (1.6B params) + 25% KV-cache headroom ≈ 4 GB
  • 1× H200 141GB at $3.59–$7.91/GPU-hour on-demand (2026-09-24)
  • ~16,055 output tok/s aggregate at batch 256 (bandwidth-bound)
  • Blended 3:1 input:output; prefill ~146,032 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. ~#5LFM2.5-VL-1.6BEstimated<81.3%
No published score — estimated from related benchmarks
LMArena Text, Non-English (Elo)Estimated
~#51 of 54 (estimated)~1290 Elo
  1. #1Claude Opus 5.51501
  2. #2Claude Fable 5.1Few votes1496
  3. #50Ring-flash-2.0Few votes1293
  4. ~#51LFM2.5-VL-1.6BEstimated1290
  5. #51NVIDIA Nemotron 3 Nano 30B A3B1286
No published score — estimated from related benchmarks
LMArena Text (Elo)Estimated
~#50 of 54 (estimated)~1317 Elo
  1. #1Claude Opus 5.51509
  2. #2Claude Fable 5.11501
  3. #49Ring-flash-2.01321
  4. ~#50LFM2.5-VL-1.6BEstimated1317
  5. #50gpt-oss-20b1317
No published score — estimated from related benchmarks
EQ-Bench Creative Writing v3 (Elo)Estimated
~#23 of 26 (estimated)~1383 Elo
  1. #1GPT-6 Astra2173
  2. #2Claude Fable 5.12162
  3. #22Mistral Large 31412
  4. ~#23LFM2.5-VL-1.6BEstimated1383
  5. #23Gemma 4 31B1368
No published score — estimated from related benchmarks

Vision

MMMUEstimated
~#2 of 3 (estimated)~71.3%
  1. #1Claude Haiku 4.573.2%
  2. ~#2LFM2.5-VL-1.6BEstimated71.3%
  3. #2Llama 4 Maverick69.4%
No published score — estimated from related benchmarks
CharXiv ReasoningEstimated
~last of 9 (estimated)below measured range (<74.5%)
  1. #1Gemini 3.8 Flash86.2%
  2. #2Kimi K384.8%
  3. #8Gemini 3.5 Flash-Lite74.5%
  4. ~#9LFM2.5-VL-1.6BEstimated<74.5%
No published score — estimated from related benchmarks
OmniDocBench v1.5Estimated
~last of 8 (estimated)below measured range (<75.8%)
  1. #1MiniMax-M391.6%
  2. #2Kimi K391.1%
  3. #7Muse Glimmer75.8%
  4. ~#8LFM2.5-VL-1.6BEstimated<75.8%
No published score — estimated from related benchmarks
GDP.pdf (AA)Estimated
~#41 of 43 (estimated)~0.1%
  1. #1GPT-6 Astra31.0%
  2. #2Muse Spark 1.326.6%
  3. #40Ministral 3 8B0.8%
  4. ~#41LFM2.5-VL-1.6BEstimated0.1%
  5. #41Ministral 3 3B0.0%
No published score — estimated from related benchmarks
ChartographyEstimated
~last of 23 (estimated)below measured range (<9.0%)
  1. #1GPT-6 Astra71.0%
  2. #2Claude Opus 5.566.3%
  3. #22Mistral Large 39.0%
  4. ~#23LFM2.5-VL-1.6BEstimated<9.0%
No published score — estimated from related benchmarks

Hard reasoning

AIME (latest)Estimated
~#21 of 25 (estimated)~19.5%
  1. #1Inkling97.1%
  2. #2Muse Glimmer94.7%
  3. #20Ministral 3 3B22.0%
  4. ~#21LFM2.5-VL-1.6BEstimated19.5%
  5. #21Llama 4 Maverick19.3%
No published score — estimated from related benchmarks
AA Intelligence IndexEstimated
~#74 of 75 (estimated)~4.5
  1. #1Claude Opus 5.557.6
  2. #2Claude Sonnet 5.556.0
  3. #73Ministral 3 3B4.8
  4. ~#74LFM2.5-VL-1.6BEstimated4.5
  5. #74K2 Horizon 0.9B3.0
No published score — estimated from related benchmarks

Agents

OSWorld-VerifiedEstimated
~#11 of 12 (estimated)~61.9%
  1. #1Kimi K384.8%
  2. #2Qwen3.8 27B84.3%
  3. #10Muse Glimmer65.9%
  4. ~#11LFM2.5-VL-1.6BEstimated61.9%
  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. ~#3LFM2.5-VL-1.6BEstimated53.8%
  4. #3GPT-5.6 Terra50.2%
No published score — estimated from related benchmarks
BrowseCompEstimated
~#17 of 18 (estimated)~32.2%
  1. #1Atria Dawn Preview92.5%
  2. #2GPT-6 Astra91.5%
  3. #16Nemotron 3 Ultra44.4%
  4. ~#17LFM2.5-VL-1.6BEstimated32.2%
  5. #17Mistral Small 421.3%
No published score — estimated from related benchmarks
GDPval-AA (Elo)Estimated
~#56 of 87 (estimated)~643 Elo
  1. #1Claude Opus 5.51846
  2. #2Claude Fable 5.11735
  3. #55MiniCPM5-2B694
  4. ~#56LFM2.5-VL-1.6BEstimated643
  5. #56Nemotron 3.5 Lightning624
No published score — estimated from related benchmarks
AutomationBench-AAEstimated
~#74 of 80 (estimated)~0.2%
  1. #1Claude Opus 5.569.5%
  2. #2DeepSeek V4.1 Flash68.9%
  3. #72Granite 4.2 3B0.4%
  4. ~#74LFM2.5-VL-1.6BEstimated0.2%
  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. ~#89LFM2.5-VL-1.6BEstimated<3.3%
No published score — estimated from related benchmarks