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Model Pareto

LongCat 2.0

Meituan LongCatOpen weightsartificialanalysis.ai ↗
Compare with nearest rivalsCompare with…
Input
$0.30/M tok
Output
$1.20/M tok
Blended
$0.525/M tok · 3:1
Speed
~79tok/sest.
Context
1Mtokens

Long-tail import from Artificial Analysis (2026-09-24); AA variant: LongCat 2.0. Price = AA median host price.

Rankings

Self-hostingEstimated

How we estimate →

What it would cost to run these open weights yourself on rented GPUs, compared with the API price above.

Hardware
24× H200 141GB
FP8 weights
Throughput
~30,088 tok/s
many requests batched
Price
$0.39–3.19 /M tok
busy → light use
On your own machine
Too large
needs data-center GPUs
Assumptions (5)
  • FP8 weights (1600B params, 48B active per token) + 40% KV-cache headroom ≈ 2240 GB
  • 24× H200 141GB at $3.59–$7.91/GPU-hour on-demand (2026-09-24)
  • ~30,088 output tok/s aggregate at batch 1273 (bandwidth-bound); MoE compute scales with active params
  • Blended 3:1 input:output; prefill ~198,704 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)~49.6%
  1. #1Claude Opus 5.589.9%
  2. #2Claude Sonnet 5.581.3%
  3. #17Muse Glimmer51.2%
  4. ~#18LongCat 2.0Estimated49.6%
  5. #18Nex-N2.5-Mini43.8%
No published score — estimated from related benchmarks
DeepSWE v1.1Estimated
~#28 of 31 (estimated)~45.2%
  1. #1DeepSeek V4.1 Flash74.2%
  2. #2Grok 4.772.6%
  3. #27Qwen3.8 Max (0902)51.0%
  4. ~#28LongCat 2.0Estimated45.2%
  5. #28Qwen3.8 27B42.2%
No published score — estimated from related benchmarks
LiveCodeBenchEstimated
~#10 of 20 (estimated)~60.4%
  1. #1Qwen3.8-Omni-Flash92.6%
  2. #2Qwen3.8 Flash-Next91.9%
  3. #9Claude Haiku 4.561.5%
  4. ~#10LongCat 2.0Estimated60.4%
  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. ~#15LongCat 2.0Estimated<41.1
No published score — estimated from related benchmarks

Hard reasoning

AIME (latest)Estimated
~#10 of 25 (estimated)~84.9%
  1. #1Inkling97.1%
  2. #2Muse Glimmer94.7%
  3. #9Mistral Medium 3.586.3%
  4. ~#10LongCat 2.0Estimated84.9%
  5. #10Mistral Small 484.0%
No published score — estimated from related benchmarks

Agents

τ²-bench (Telecom)Estimated
~#42 of 116 (estimated)~64.6%
  1. #1Step 3.7 Flash98.5%
  2. #2Gemini 3.1 Pro95.6%
  3. #41Qwen3.5 0.8B65.2%
  4. ~#42LongCat 2.0Estimated64.6%
  5. #42HyperNova 60B 260563.2%
No published score — estimated from related benchmarks
OSWorld-VerifiedEstimated
~#11 of 12 (estimated)~63.8%
  1. #1Kimi K384.8%
  2. #2Qwen3.8 27B84.3%
  3. #10Muse Glimmer65.9%
  4. ~#11LongCat 2.0Estimated63.8%
  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. ~#5LongCat 2.0Estimated<47.5%
No published score — estimated from related benchmarks
BrowseCompEstimated
~#15 of 18 (estimated)~59.0%
  1. #1Atria Dawn Preview92.5%
  2. #2GPT-6 Astra91.5%
  3. #14Inkling77.1%
  4. ~#15LongCat 2.0Estimated59.0%
  5. #15Mistral Medium 3.548.6%
No published score — estimated from related benchmarks