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Model Pareto

Ling-3.0-flash-VL

inclusionAI (Ant Group)Open weightshuggingface.co ↗
Input
$0.075/M tok
Output
$0.22/M tok
Blended
$0.111/M tok · 3:1
Speed
147tok/s
Context
262Ktokens

Open weights (MIT); 124B total / 5.5B active vision-language MoE.

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
2× H200 141GB
FP8 weights
Throughput
~9,381 tok/s
many requests batched
Price
$0.083–0.68 /M tok
busy → light use
On your own machine
Mac Studio M5 Max 128GB (int4, ~160 tok/s single-stream)
single consumer GPU or Mac
Assumptions (5)
  • FP8 weights (124B params, 5.5B active per token) + 25% KV-cache headroom ≈ 155 GB
  • 2× H200 141GB at $3.59–$7.91/GPU-hour on-demand (2026-09-24)
  • ~9,381 output tok/s aggregate at batch 337 (bandwidth-bound); MoE compute scales with active params
  • Blended 3:1 input:output; prefill ~170,014 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

~#10 of 14 (estimated)~74.5%
  1. #1Claude Opus 596.0%
  2. #2Claude Sonnet 585.2%
  3. #9Xing4.0-29B-A4B75.0%
  4. ~#10Ling-3.0-flash-VLEstimated74.5%
  5. #10Claude Haiku 4.573.3%
No published score — estimated from related benchmarks
DeepSWE v1.1Estimated
~#27 of 31 (estimated)~51.0%
  1. #1DeepSeek V4.1 Flash74.2%
  2. #2Grok 4.772.6%
  3. #26Nex-N2.5-Pro55.8%
  4. ~#27Ling-3.0-flash-VLEstimated51.0%
  5. #27Qwen3.8 Max (0902)51.0%
No published score — estimated from related benchmarks
LiveCodeBenchEstimated
~#8 of 20 (estimated)~70.9%
  1. #1Qwen3.8-Omni-Flash92.6%
  2. #2Qwen3.8 Flash-Next91.9%
  3. #7gpt-oss-20b77.7%
  4. ~#8Ling-3.0-flash-VLEstimated70.9%
  5. #8Mistral Small 464.0%
No published score — estimated from related benchmarks
~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. ~#15Ling-3.0-flash-VLEstimated<41.1
No published score — estimated from related benchmarks

Vision

Hard reasoning

Agents