inclusionAI: Ling 3.0 Flash Fin

Text input Text output Unavailable
Author's Description

Ling 3.0 Flash Fin is a finance-focused mixture-of-experts model from InclusionAI, built on Ling 3.0 Flash with 5.1B active parameters out of 124B total. It is designed for real-world investment...

Key Specifications
Cost
$$
Context
262K
Parameters
124B (Rumoured)
Released
Aug 27, 2026
Speed
★
Ability
★
Reliability
★
Supported Parameters

This model supports the following parameters:

Seed Frequency Penalty Max Tokens Stop Structured Outputs Min P Tools Reasoning Temperature Presence Penalty Logit Bias Tool Choice Top P Include Reasoning
Features

This model supports the following features:

Structured Outputs Tools Reasoning
Performance Summary

Ling 3.0 Flash Fin (free) from InclusionAI, a finance-focused mixture-of-experts model, generally exhibits longer response times, ranking in the 15th percentile for speed across benchmarks. Conversely, it offers cost-effective solutions, placing in the 72nd percentile for price. The model's reliability is not explicitly provided in the given data, so no specific comment can be made regarding its percentile ranking in this area. In terms of performance across benchmarks, Ling 3.0 Flash Fin demonstrates notable weaknesses in handling fictional concepts, achieving only 34.0% accuracy on the Hallucinations (Baseline) test, indicating a propensity to generate information rather than acknowledge uncertainty. Its General Knowledge and Ethics scores are also relatively low at 46.5% and 47.0% accuracy, respectively, suggesting limitations in broad factual recall and ethical reasoning. However, the model shows moderate capability in Instruction Following (58.0% accuracy) and performs reasonably well in Reasoning (80.0% accuracy), indicating a strength in complex problem-solving. Its Email Classification accuracy is high at 95.0%, though its percentile ranking is modest. Overall, its key strengths lie in its cost-effectiveness and reasoning abilities, while its primary weaknesses are its tendency to hallucinate, slower response times, and lower performance in general knowledge and ethics.

Model Pricing

Current Pricing

Feature Price (per 1M tokens)
Prompt $0.042
Completion $0.123
Input Cache Read $0.0084

Price History

Available Endpoints
Provider Endpoint Name Context Length Pricing (Input) Pricing (Output)
DeepInfra
DeepInfra | inclusionai/ling-3.0-flash-fin-20260827 262K $0.042 / 1M tokens $0.123 / 1M tokens
Novita
Novita | inclusionai/ling-3.0-flash-fin-20260827 262K $0.042 / 1M tokens $0.123 / 1M tokens
Benchmark Results
Benchmark Category Reasoning Strategy Free Executions Accuracy Cost Duration
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