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Model Pareto

K2 Horizon 0.9B

MBZUAI Institute of Foundation ModelsOpen weightsartificialanalysis.ai ↗
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Input
—
Output
—
Speed
~140tok/sest.
Context
131Ktokens

Long-tail import from Artificial Analysis (2026-09-24); AA variant: K2 Horizon 0.9B. 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
~19,742 tok/s
many requests batched
Price
$0.021–0.18 /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 (1.08B params) + 25% KV-cache headroom ≈ 3 GB
  • 1× H200 141GB at $3.59–$7.91/GPU-hour on-demand (2026-09-24)
  • ~19,742 output tok/s aggregate at batch 256 (bandwidth-bound)
  • Blended 3:1 input:output; prefill ~216,344 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)~45.9%
  1. #1Claude Opus 5.589.9%
  2. #2Claude Sonnet 5.581.3%
  3. #17Muse Glimmer51.2%
  4. ~#18K2 Horizon 0.9BEstimated45.9%
  5. #18Nex-N2.5-Mini43.8%
No published score — estimated from related benchmarks
DeepSWE v1.1Estimated
~#29 of 31 (estimated)~36.9%
  1. #1DeepSeek V4.1 Flash74.2%
  2. #2Grok 4.772.6%
  3. #28Qwen3.8 27B42.2%
  4. ~#29K2 Horizon 0.9BEstimated36.9%
  5. #29Nex-N2.5-Mini36.1%
No published score — estimated from related benchmarks
LiveCodeBenchEstimated
~#19 of 20 (estimated)~26.6%
  1. #1Qwen3.8-Omni-Flash92.6%
  2. #2Qwen3.8 Flash-Next91.9%
  3. #18Llama 4 Scout29.9%
  4. ~#19K2 Horizon 0.9BEstimated26.6%
  5. #19Ministral 3 3B24.7%
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. ~#15K2 Horizon 0.9BEstimated<41.1
No published score — estimated from related benchmarks

Hard reasoning

AIME (latest)Estimated
~#21 of 25 (estimated)~20.7%
  1. #1Inkling97.1%
  2. #2Muse Glimmer94.7%
  3. #20Ministral 3 3B22.0%
  4. ~#21K2 Horizon 0.9BEstimated20.7%
  5. #21Llama 4 Maverick19.3%
No published score — estimated from related benchmarks

Agents

τ²-bench (Telecom)Estimated
~#57 of 116 (estimated)~29.2%
  1. #1Step 3.7 Flash98.5%
  2. #2Gemini 3.1 Pro95.6%
  3. #56GLM-4.6V30.7%
  4. ~#57K2 Horizon 0.9BEstimated29.2%
  5. #57NVIDIA Nemotron 3 Nano 4B28.1%
No published score — estimated from related benchmarks
OSWorld-VerifiedEstimated
~#11 of 12 (estimated)~57.1%
  1. #1Kimi K384.8%
  2. #2Qwen3.8 27B84.3%
  3. #10Muse Glimmer65.9%
  4. ~#11K2 Horizon 0.9BEstimated57.1%
  5. #11Claude Haiku 4.550.7%
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. ~#5K2 Horizon 0.9BEstimated<47.5%
No published score — estimated from related benchmarks
BrowseCompEstimated
~#16 of 18 (estimated)~48.5%
  1. #1Atria Dawn Preview92.5%
  2. #2GPT-6 Astra91.5%
  3. #15Mistral Medium 3.548.6%
  4. ~#16K2 Horizon 0.9BEstimated48.5%
  5. #16Nemotron 3 Ultra44.4%
No published score — estimated from related benchmarks
GDPval-AA (Elo)Estimated
~#76 of 87 (estimated)~333 Elo
  1. #1Claude Opus 5.51846
  2. #2Claude Fable 5.11735
  3. #75Mistral Small 4349
  4. ~#76K2 Horizon 0.9BEstimated333
  5. #76gpt-oss-20b327
No published score — estimated from related benchmarks