Ling-3.0-flash-Fin scores 23 on AA Intelligence Index with just 5.1B active of 124B params
ArtificialAnlys · x · 2026-09-16
Artificial Analysis published full benchmark results for InclusionAI's open-weights finance model Ling-3.0-flash-Fin:
- Scores 23 on the Artificial Analysis Intelligence Index v4.3 (10 evals), ranking #2 of 65 in its class vs. a median of 8
- 124B total parameters with only 5.1B active per token; MIT license, weights on Hugging Face
- Output speed of 162.4 tokens/s beats the 115 average, but it's extremely verbose: 250M output tokens during evals vs. a 100M median
- Text-only I/O with a 262k context window
AA calls it a leading-intelligence, competitively priced open-weights model whose main weakness is verbosity.
Related event: Ant Group's Open-Source Ling-3.0-flash-Fin Benchmarked(4 posts)→
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