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Model Pareto

Ling 3.1 Flash

inclusionAI (Ant Group)Open weightshuggingface.co ↗
Input
$0.30/M tok
Output
$0.90/M tok
Blended
$0.45/M tok · 3:1
Speed
213tok/s
Context
262Ktokens

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
8× B200 180GB
FP8 weights
Throughput
~31,380 tok/s
many requests batched
Price
$0.18–1.61 /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 (560B params, 25B active per token) + 25% KV-cache headroom ≈ 700 GB
  • 8× B200 180GB at $5.98–$14.24/GPU-hour on-demand (2026-09-24)
  • ~31,380 output tok/s aggregate at batch 898 (bandwidth-bound); MoE compute scales with active params
  • Blended 3:1 input:output; prefill ~340,200 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

~#2 of 20 (estimated)~85.5%
  1. #1Claude Opus 596.0%
  2. ~#2Ling 3.1 FlashEstimated85.5%
  3. #2Claude Sonnet 585.2%
No published score — estimated from related benchmarks
DeepSWE v1.1Estimated
~#28 of 43 (estimated)~61.6%
  1. #1Gemini 4 Argon78.8%
  2. #2DeepSeek V4.1 Flash 101777.0%
  3. #27Mistral Large 461.7%
  4. ~#28Ling 3.1 FlashEstimated61.6%
  5. #28GLM-5.361.4%
No published score — estimated from related benchmarks
~#17 of 24 (estimated)~45.5
  1. #1Claude Opus 5.561.7
  2. #2Claude Opus 559.7
  3. #16Muse Spark 1.345.7
  4. ~#17Ling 3.1 FlashEstimated45.5
  5. #17DeepSeek V4 Pro (0813)43.1
No published score — estimated from related benchmarks

Hard reasoning