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Model Pareto

Ling 3.0 Tiny

inclusionAI (Ant Group)Open weightsartificialanalysis.ai ↗
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Input
—
Output
—
Speed
31tok/s
Context
262Ktokens

Long-tail import from Artificial Analysis (2026-09-24); AA variant: Ling 3.0 Tiny. 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
~14,196 tok/s
many requests batched
Price
$0.029–0.24 /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 (7.9B params, 1.3B active per token) + 25% KV-cache headroom ≈ 20 GB
  • 1× H200 141GB at $3.59–$7.91/GPU-hour on-demand (2026-09-24)
  • ~14,196 output tok/s aggregate at batch 256 (bandwidth-bound); MoE compute scales with active params
  • Blended 3:1 input:output; prefill ~179,732 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

SWE-bench Pro (Public)Estimated
~#18 of 19 (estimated)~47.5%
  1. #1Claude Opus 5.589.9%
  2. #2Claude Sonnet 5.581.3%
  3. #17Muse Glimmer51.2%
  4. ~#18Ling 3.0 TinyEstimated47.5%
  5. #18Nex-N2.5-Mini43.8%
No published score — estimated from related benchmarks
DeepSWE v1.1Estimated
~#29 of 31 (estimated)~37.6%
  1. #1DeepSeek V4.1 Flash74.2%
  2. #2Grok 4.772.6%
  3. #28Qwen3.8 27B42.2%
  4. ~#29Ling 3.0 TinyEstimated37.6%
  5. #29Nex-N2.5-Mini36.1%
No published score — estimated from related benchmarks
LiveCodeBenchEstimated
~#14 of 20 (estimated)~44.5%
  1. #1Qwen3.8-Omni-Flash92.6%
  2. #2Qwen3.8 Flash-Next91.9%
  3. #13Devstral 244.8%
  4. ~#14Ling 3.0 TinyEstimated44.5%
  5. #14Llama 4 Maverick39.7%
No published score — estimated from related benchmarks
AA Coding Agent IndexEstimated
~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. ~#15Ling 3.0 TinyEstimated<41.1
No published score — estimated from related benchmarks

Hard reasoning

AIME (latest)Estimated
~#14 of 25 (estimated)~65.8%
  1. #1Inkling97.1%
  2. #2Muse Glimmer94.7%
  3. #13Phi-4-reasoning-plus78.0%
  4. ~#14Ling 3.0 TinyEstimated65.8%
  5. #14Mistral Large 338.0%
No published score — estimated from related benchmarks
AA Intelligence IndexEstimated
~#53 of 75 (estimated)~13.3
  1. #1Claude Opus 5.557.6
  2. #2Claude Sonnet 5.556.0
  3. #52Mistral Medium 3.514.2
  4. ~#53Ling 3.0 TinyEstimated13.3
  5. #53Command A+13.1
No published score — estimated from related benchmarks

Agents

OSWorld-VerifiedEstimated
~#10 of 12 (estimated)~66.0%
  1. #1Kimi K384.8%
  2. #2Qwen3.8 27B84.3%
  3. #9Nex-N2.5-Mini71.2%
  4. ~#10Ling 3.0 TinyEstimated66.0%
  5. #10Muse Glimmer65.9%
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. ~#5Ling 3.0 TinyEstimated<47.5%
No published score — estimated from related benchmarks
BrowseCompEstimated
~#15 of 18 (estimated)~63.4%
  1. #1Atria Dawn Preview92.5%
  2. #2GPT-6 Astra91.5%
  3. #14Inkling77.1%
  4. ~#15Ling 3.0 TinyEstimated63.4%
  5. #15Mistral Medium 3.548.6%
No published score — estimated from related benchmarks
GDPval-AA (Elo)Estimated
~#26 of 87 (estimated)~1235 Elo
  1. #1Claude Opus 5.51846
  2. #2Claude Fable 5.11735
  3. #25GPT-5.51336
  4. ~#26Ling 3.0 TinyEstimated1235
  5. #26MiniMax-M31230
No published score — estimated from related benchmarks
AutomationBench-AAEstimated
~#42 of 80 (estimated)~14.3%
  1. #1Claude Opus 5.569.5%
  2. #2DeepSeek V4.1 Flash68.9%
  3. #41K2 Horizon 3.7B14.7%
  4. ~#42Ling 3.0 TinyEstimated14.3%
  5. #42Qwen3.5 397B A17B6.9%
No published score — estimated from related benchmarks