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Model Pareto

A.X-K2

SK TelecomOpen weightsartificialanalysis.ai ↗
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Input
—
Output
—
Speed
~84tok/sest.
Context
262Ktokens

Long-tail import from Artificial Analysis (2026-09-24); AA variant: A.X-K2. 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
8× B200 180GB
FP8 weights
Throughput
~22,549 tok/s
many requests batched
Price
$0.25–2.21 /M tok
busy → light use
On your own machine
Mac Studio M5 Ultra 512GB (int4, ~51 tok/s single-stream)
single consumer GPU or Mac
Assumptions (5)
  • FP8 weights (688B params, 33B active per token) + 25% KV-cache headroom ≈ 860 GB
  • 8× B200 180GB at $5.98–$14.24/GPU-hour on-demand (2026-09-24)
  • ~22,549 output tok/s aggregate at batch 645 (bandwidth-bound); MoE compute scales with active params
  • Blended 3:1 input:output; prefill ~257,727 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 VerifiedEstimated
~#11 of 14 (estimated)~72.8%
  1. #1Claude Opus 596.0%
  2. #2Claude Sonnet 585.2%
  3. #10Claude Haiku 4.573.3%
  4. ~#11A.X-K2Estimated72.8%
  5. #11Nemotron 3 Ultra70.7%
No published score — estimated from related benchmarks
SWE-bench Pro (Public)Estimated
~#17 of 19 (estimated)~51.7%
  1. #1Claude Opus 5.589.9%
  2. #2Claude Sonnet 5.581.3%
  3. #15Gemini 3.5 Flash-Lite54.2%
  4. ~#17A.X-K2Estimated51.7%
  5. #17Muse Glimmer51.2%
No published score — estimated from related benchmarks
DeepSWE v1.1Estimated
~#28 of 31 (estimated)~45.9%
  1. #1DeepSeek V4.1 Flash74.2%
  2. #2Grok 4.772.6%
  3. #27Qwen3.8 Max (0902)51.0%
  4. ~#28A.X-K2Estimated45.9%
  5. #28Qwen3.8 27B42.2%
No published score — estimated from related benchmarks
Terminal-Bench 4.0Estimated
~#27 of 84 (estimated)~9.7%
  1. #1Claude Sonnet 5.563.6%
  2. #2Claude Opus 5.559.6%
  3. #26Qwen3.8 2.4T A95B11.1%
  4. ~#27A.X-K2Estimated9.7%
  5. #27Qwen3.8 27B5.6%
No published score — estimated from related benchmarks
LiveCodeBenchEstimated
~#8 of 20 (estimated)~72.7%
  1. #1Qwen3.8-Omni-Flash92.6%
  2. #2Qwen3.8 Flash-Next91.9%
  3. #7gpt-oss-20b77.7%
  4. ~#8A.X-K2Estimated72.7%
  5. #8Mistral Small 464.0%
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. ~#15A.X-K2Estimated<41.1
No published score — estimated from related benchmarks

Hard reasoning

AIME (latest)Estimated
~#2 of 25 (estimated)~95.5%
  1. #1Inkling97.1%
  2. ~#2A.X-K2Estimated95.5%
  3. #2Muse Glimmer94.7%
No published score — estimated from related benchmarks
AA Intelligence IndexEstimated
~#29 of 75 (estimated)~27.6
  1. #1Claude Opus 5.557.6
  2. #2Claude Sonnet 5.556.0
  3. #28MiniMax-M329.2
  4. ~#29A.X-K2Estimated27.6
  5. #29Quasar 438B26.7
No published score — estimated from related benchmarks

Agents

τ²-bench (Telecom)Estimated
~#26 of 116 (estimated)~83.2%
  1. #1Step 3.7 Flash98.5%
  2. #2Gemini 3.1 Pro95.6%
  3. #24Nemotron 3 Ultra83.3%
  4. ~#26A.X-K2Estimated83.2%
  5. #26Nex-N2-Pro81.6%
No published score — estimated from related benchmarks
OSWorld-VerifiedEstimated
~#10 of 12 (estimated)~67.3%
  1. #1Kimi K384.8%
  2. #2Qwen3.8 27B84.3%
  3. #9Nex-N2.5-Mini71.2%
  4. ~#10A.X-K2Estimated67.3%
  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. ~#5A.X-K2Estimated<47.5%
No published score — estimated from related benchmarks
BrowseCompEstimated
~#15 of 18 (estimated)~63.3%
  1. #1Atria Dawn Preview92.5%
  2. #2GPT-6 Astra91.5%
  3. #14Inkling77.1%
  4. ~#15A.X-K2Estimated63.3%
  5. #15Mistral Medium 3.548.6%
No published score — estimated from related benchmarks
GDPval-AA (Elo)Estimated
~#26 of 87 (estimated)~1306 Elo
  1. #1Claude Opus 5.51846
  2. #2Claude Fable 5.11735
  3. #25GPT-5.51336
  4. ~#26A.X-K2Estimated1306
  5. #26MiniMax-M31230
No published score — estimated from related benchmarks
AutomationBench-AAEstimated
~#36 of 80 (estimated)~20.0%
  1. #1Claude Opus 5.569.5%
  2. #2DeepSeek V4.1 Flash68.9%
  3. #35K2 Horizon 7B20.9%
  4. ~#36A.X-K2Estimated20.0%
  5. #36Hy318.4%
No published score — estimated from related benchmarks