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Model Pareto

G9v3-39A5B

AI9StarsOpen weightsartificialanalysis.ai ↗
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Input
—
Output
—
Speed
~110tok/sest.
Context
131Ktokens

Long-tail import from Artificial Analysis (2026-09-24); AA variant: G9v3-39A5B. 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
FP8 weights
Throughput
~6,662 tok/s
many requests batched
Price
$0.061–0.50 /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)
  • FP8 weights (39B params, 5B active per token) + 25% KV-cache headroom ≈ 49 GB
  • 1× H200 141GB at $3.59–$7.91/GPU-hour on-demand (2026-09-24)
  • ~6,662 output tok/s aggregate at batch 239 (bandwidth-bound); MoE compute scales with active params
  • Blended 3:1 input:output; prefill ~93,508 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)~46.7%
  1. #1Claude Opus 5.589.9%
  2. #2Claude Sonnet 5.581.3%
  3. #17Muse Glimmer51.2%
  4. ~#18G9v3-39A5BEstimated46.7%
  5. #18Nex-N2.5-Mini43.8%
No published score — estimated from related benchmarks
DeepSWE v1.1Estimated
~#29 of 31 (estimated)~40.8%
  1. #1DeepSeek V4.1 Flash74.2%
  2. #2Grok 4.772.6%
  3. #28Qwen3.8 27B42.2%
  4. ~#29G9v3-39A5BEstimated40.8%
  5. #29Nex-N2.5-Mini36.1%
No published score — estimated from related benchmarks
Terminal-Bench 4.0Estimated
~#28 of 84 (estimated)~5.1%
  1. #1Claude Sonnet 5.563.6%
  2. #2Claude Opus 5.559.6%
  3. #27Qwen3.8 27B5.6%
  4. ~#28G9v3-39A5BEstimated5.1%
  5. #28Gemini 3.1 Pro4.0%
No published score — estimated from related benchmarks
LiveCodeBenchEstimated
~#9 of 20 (estimated)~63.8%
  1. #1Qwen3.8-Omni-Flash92.6%
  2. #2Qwen3.8 Flash-Next91.9%
  3. #8Mistral Small 464.0%
  4. ~#9G9v3-39A5BEstimated63.8%
  5. #9Claude Haiku 4.561.5%
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. ~#15G9v3-39A5BEstimated<41.1
No published score — estimated from related benchmarks

Hard reasoning

AIME (latest)Estimated
~#10 of 25 (estimated)~84.8%
  1. #1Inkling97.1%
  2. #2Muse Glimmer94.7%
  3. #9Mistral Medium 3.586.3%
  4. ~#10G9v3-39A5BEstimated84.8%
  5. #10Mistral Small 484.0%
No published score — estimated from related benchmarks
AA Intelligence IndexEstimated
~#44 of 75 (estimated)~20.4
  1. #1Claude Opus 5.557.6
  2. #2Claude Sonnet 5.556.0
  3. #43K2 Horizon 7B20.6
  4. ~#44G9v3-39A5BEstimated20.4
  5. #44LongCat 2.019.1
No published score — estimated from related benchmarks

Agents

τ²-bench (Telecom)Estimated
~#38 of 116 (estimated)~69.9%
  1. #1Step 3.7 Flash98.5%
  2. #2Gemini 3.1 Pro95.6%
  3. #37Nova 2.0 Lite72.8%
  4. ~#38G9v3-39A5BEstimated69.9%
  5. #38Apriel-v1.6-15B-Thinker69.3%
No published score — estimated from related benchmarks
OSWorld-VerifiedEstimated
~#10 of 12 (estimated)~68.6%
  1. #1Kimi K384.8%
  2. #2Qwen3.8 27B84.3%
  3. #9Nex-N2.5-Mini71.2%
  4. ~#10G9v3-39A5BEstimated68.6%
  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. ~#5G9v3-39A5BEstimated<47.5%
No published score — estimated from related benchmarks
BrowseCompEstimated
~#15 of 18 (estimated)~67.1%
  1. #1Atria Dawn Preview92.5%
  2. #2GPT-6 Astra91.5%
  3. #14Inkling77.1%
  4. ~#15G9v3-39A5BEstimated67.1%
  5. #15Mistral Medium 3.548.6%
No published score — estimated from related benchmarks
GDPval-AA (Elo)Estimated
~#26 of 87 (estimated)~1320 Elo
  1. #1Claude Opus 5.51846
  2. #2Claude Fable 5.11735
  3. #25GPT-5.51336
  4. ~#26G9v3-39A5BEstimated1320
  5. #26MiniMax-M31230
No published score — estimated from related benchmarks
AutomationBench-AAEstimated
~#35 of 80 (estimated)~21.1%
  1. #1Claude Opus 5.569.5%
  2. #2DeepSeek V4.1 Flash68.9%
  3. #34MiniMax-M321.3%
  4. ~#35G9v3-39A5BEstimated21.1%
  5. #35K2 Horizon 7B20.9%
No published score — estimated from related benchmarks