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Model Pareto

Command A+

CohereOpen weightsartificialanalysis.ai ↗
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Input
—
Output
—
Speed
214tok/s
Context
192Ktokens

Long-tail import from Artificial Analysis (2026-09-24); AA variant: Command A+. 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
4× H200 141GB
FP8 weights
Throughput
~9,822 tok/s
many requests batched
Price
$0.19–1.56 /M tok
busy → light use
On your own machine
Mac Studio M5 Ultra 512GB (int4, ~67 tok/s single-stream)
single consumer GPU or Mac
Assumptions (5)
  • FP8 weights (218B params, 25B active per token) + 25% KV-cache headroom ≈ 273 GB
  • 4× H200 141GB at $3.59–$7.91/GPU-hour on-demand (2026-09-24)
  • ~9,822 output tok/s aggregate at batch 353 (bandwidth-bound); MoE compute scales with active params
  • Blended 3:1 input:output; prefill ~74,806 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)~71.1%
  1. #1Claude Opus 596.0%
  2. #2Claude Sonnet 585.2%
  3. #10Claude Haiku 4.573.3%
  4. ~#11Command A+Estimated71.1%
  5. #11Nemotron 3 Ultra70.7%
No published score — estimated from related benchmarks
SWE-bench Pro (Public)Estimated
~#18 of 19 (estimated)~50.1%
  1. #1Claude Opus 5.589.9%
  2. #2Claude Sonnet 5.581.3%
  3. #17Muse Glimmer51.2%
  4. ~#18Command A+Estimated50.1%
  5. #18Nex-N2.5-Mini43.8%
No published score — estimated from related benchmarks
DeepSWE v1.1Estimated
~#28 of 31 (estimated)~46.7%
  1. #1DeepSeek V4.1 Flash74.2%
  2. #2Grok 4.772.6%
  3. #27Qwen3.8 Max (0902)51.0%
  4. ~#28Command A+Estimated46.7%
  5. #28Qwen3.8 27B42.2%
No published score — estimated from related benchmarks
LiveCodeBenchEstimated
~#10 of 20 (estimated)~60.7%
  1. #1Qwen3.8-Omni-Flash92.6%
  2. #2Qwen3.8 Flash-Next91.9%
  3. #9Claude Haiku 4.561.5%
  4. ~#10Command A+Estimated60.7%
  5. #10Phi-4-reasoning-plus53.1%
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. ~#15Command A+Estimated<41.1
No published score — estimated from related benchmarks

Writing & chat

MMMLUEstimated
~#3 of 5 (estimated)~83.2%
  1. #1Gemini 3.1 Pro92.6%
  2. #2Gemma 4 31B88.4%
  3. ~#3Command A+Estimated83.2%
  4. #3Claude Haiku 4.583.0%
No published score — estimated from related benchmarks
LMArena Text, Non-English (Elo)Estimated
~#41 of 54 (estimated)~1374 Elo
  1. #1Claude Opus 5.51501
  2. #2Claude Fable 5.1Few votes1496
  3. #40Qwen3 Next 80B A3B Instruct1386
  4. ~#41Command A+Estimated1374
  5. #41GLM-4.6VFew votes1361
No published score — estimated from related benchmarks
LMArena Text (Elo)Estimated
~#41 of 54 (estimated)~1392 Elo
  1. #1Claude Opus 5.51509
  2. #2Claude Fable 5.11501
  3. #40Qwen3 Next 80B A3B Instruct1399
  4. ~#41Command A+Estimated1392
  5. #41GLM-4.6VFew votes1378
No published score — estimated from related benchmarks
EQ-Bench Creative Writing v3 (Elo)Estimated
~#22 of 26 (estimated)~1479 Elo
  1. #1GPT-6 Astra2173
  2. #2Claude Fable 5.12162
  3. #21Gemini 3.1 Pro1491
  4. ~#22Command A+Estimated1479
  5. #22Mistral Large 31412
No published score — estimated from related benchmarks

Vision

MMMUEstimated
~#2 of 3 (estimated)~71.3%
  1. #1Claude Haiku 4.573.2%
  2. ~#2Command A+Estimated71.3%
  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. ~#9Command A+Estimated<74.5%
No published score — estimated from related benchmarks
OmniDocBench v1.5Estimated
~#6 of 8 (estimated)~78.6%
  1. #1MiniMax-M391.6%
  2. #2Kimi K391.1%
  3. #5Claude Haiku 4.579.6%
  4. ~#6Command A+Estimated78.6%
  5. #6Mistral Small 476.4%
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. ~#23Command A+Estimated<9.0%
No published score — estimated from related benchmarks

Hard reasoning

AIME (latest)Estimated
~#14 of 25 (estimated)~71.1%
  1. #1Inkling97.1%
  2. #2Muse Glimmer94.7%
  3. #13Phi-4-reasoning-plus78.0%
  4. ~#14Command A+Estimated71.1%
  5. #14Mistral Large 338.0%
No published score — estimated from related benchmarks

Agents

OSWorld-VerifiedEstimated
~#11 of 12 (estimated)~61.2%
  1. #1Kimi K384.8%
  2. #2Qwen3.8 27B84.3%
  3. #10Muse Glimmer65.9%
  4. ~#11Command A+Estimated61.2%
  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. ~#5Command A+Estimated<47.5%
No published score — estimated from related benchmarks
BrowseCompEstimated
~#15 of 18 (estimated)~55.4%
  1. #1Atria Dawn Preview92.5%
  2. #2GPT-6 Astra91.5%
  3. #14Inkling77.1%
  4. ~#15Command A+Estimated55.4%
  5. #15Mistral Medium 3.548.6%
No published score — estimated from related benchmarks