inclusionai
Ling 3.0 Flash Fin
Ling 3.0 Flash Fin is InclusionAI’s finance-enhanced MoE language model, combining 124 billion total parameters with approximately 5.1 billion active parameters for efficient financial reasoning. Its 256K context window, function calling, and support for complex, multi-step investment workflows make it ideal for financial research, analysis, long-horizon planning, and execution, while retaining strong capabilities in coding and mathematics.
implicit cachingreasoningtool usestructured outputtext
Overview
- Type
- language
- Context
- 256K
- Max output
- 32K
- Input / output
- text / text
API
Model identifier
inclusionai/ling-3.0-flash-finProviders and live performance
Rolling Gateway metrics. Latency is time to first token; throughput is output tokens per second.
| Provider | Status | Latency | Throughput | Uptime 15m / 1h / 1d | Input | Output | Cache read / write | Discount | Regions | ZDR | No training |
|---|---|---|---|---|---|---|---|---|---|---|---|
| deepinfra | Operational | 12.27s / 67.71s | 42.5 / 53.3 tok/s | 100.00% / 100.00% / 99.10% | $0.06/M | $0.18/M | $0.01/M / — | — | — | Yes | Yes |
| novita | Operational | 0.94s / 1.21s | 172.0 / 179.8 tok/s | 100.00% / 100.00% / 100.00% | $0.07/M | $0.22/M | $0.01/M / — | — | — | — | No |
Pricing
input
0.000000075
output
0.00000022
input cache read
0.000000015
varies by provider
Yes
Capabilities
implicit cachingreasoningtool usestructured outputtext
Supported parameters
max tokens
Yes
temperature
Yes
stop
Yes
tools
Yes
tool choice
Yes
reasoning
Yes
include reasoning
Yes
response format
Yes
structured outputs
Yes
Reasoning options
options
{
"type": "toggle"
}
Metadata
type
language
context window
256K
max output
32K
released
Aug 27, 2026
temperature control
Yes
zero data retention
some
no training
some
api specifications
v2, v3, v4