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Model Pareto

Ling-3.0-flash-Fin

inclusionAI (Ant Group)Open weightshuggingface.co ↗
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Input
$0.075/M tok
Output
$0.22/M tok
Blended
$0.111/M tok · 3:1
Speed
159tok/s
Context
262Ktokens

Open weights (MIT); finance-tuned Ling-3.0-flash (124B total / 5.1B active MoE). Release date = OpenRouter listing; AA lists 2026-09-11. Price and speed are AA's median across hosts. Not ranked in Agents: its only agentic score is the finance-specific tau3-banking.

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
~9,742 tok/s
many requests batched
Price
$0.079–0.65 /M tok
busy → light use
On your own machine
Mac Studio M5 Max 128GB (int4, ~170 tok/s single-stream)
single consumer GPU or Mac
Assumptions (5)
  • FP8 weights (124B params, 5.1B active per token) + 25% KV-cache headroom ≈ 155 GB
  • 2× H200 141GB at $3.59–$7.91/GPU-hour on-demand (2026-09-24)
  • ~9,742 output tok/s aggregate at batch 350 (bandwidth-bound); MoE compute scales with active params
  • Blended 3:1 input:output; prefill ~183,349 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)~73.3%
  1. #1Claude Opus 596.0%
  2. #2Claude Sonnet 585.2%
  3. #10Claude Haiku 4.573.3%
  4. ~#11Ling-3.0-flash-FinEstimated73.3%
  5. #11Nemotron 3 Ultra70.7%
No published score — estimated from related benchmarks
DeepSWE v1.1Estimated
~#28 of 31 (estimated)~49.3%
  1. #1DeepSeek V4.1 Flash74.2%
  2. #2Grok 4.772.6%
  3. #27Qwen3.8 Max (0902)51.0%
  4. ~#28Ling-3.0-flash-FinEstimated49.3%
  5. #28Qwen3.8 27B42.2%
No published score — estimated from related benchmarks
LiveCodeBenchEstimated
~#8 of 20 (estimated)~66.3%
  1. #1Qwen3.8-Omni-Flash92.6%
  2. #2Qwen3.8 Flash-Next91.9%
  3. #7gpt-oss-20b77.7%
  4. ~#8Ling-3.0-flash-FinEstimated66.3%
  5. #8Mistral Small 464.0%
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. ~#15Ling-3.0-flash-FinEstimated<41.1
No published score — estimated from related benchmarks

Hard reasoning

GPQA DiamondEstimated
~#80 of 173 (estimated)~74.9%
  1. #1GPT-6 Astra96.1%
  2. #2Gemini 3.8 Flash95.3%
  3. #78Trinity Large Thinking75.2%
  4. ~#80Ling-3.0-flash-FinEstimated74.9%
  5. #80Mistral Medium 3.574.8%
No published score — estimated from related benchmarks
AIME (latest)Estimated
~#4 of 25 (estimated)~93.6%
  1. #1Inkling97.1%
  2. #2Muse Glimmer94.7%
  3. #3Nova 2.0 Lite94.3%
  4. ~#4Ling-3.0-flash-FinEstimated93.6%
  5. #4gpt-oss-120b93.4%
No published score — estimated from related benchmarks