When was Ling 3.0 Flash Fin released?

Ling 3.0 Flash Fin was released on September 3, 2026 by inclusionai. This is the official Ling 3.0 Flash Fin release date tracked on LLM Stats.

How much does Ling 3.0 Flash Fin cost?

Ling 3.0 Flash Fin pricing starts at $0.06 per million input tokens, $0.01 per million cached input tokens, $0.18 per million output tokens via DeepInfra, the lowest price among tracked providers.

Is Ling 3.0 Flash Fin available via API?

Yes, Ling 3.0 Flash Fin is available via API. See the official documentation for authentication and endpoint details. It is served by 1 provider tracked on LLM Stats.

How big is Ling 3.0 Flash Fin?

Ling 3.0 Flash Fin has 124 billion parameters.

Who created Ling 3.0 Flash Fin?

Ling 3.0 Flash Fin was created by inclusionai.

Where can I use Ling 3.0 Flash Fin?

Ling 3.0 Flash Fin is available through 1 provider including DeepInfra.

What models should I compare Ling 3.0 Flash Fin against?

Common Ling 3.0 Flash Fin comparisons include Ling 3.0 Flash Fin vs Qwen3.7 Max, Ling 3.0 Flash Fin vs Kimi K2.6, Ling 3.0 Flash Fin vs Muse Spark 1.1. Compare them side by side for benchmark scores, pricing, context window, latency and API availability.

Ling 3.0 Flash Fin API Pricing, Context Window & Benchmarks

Name: Ling 3.0 Flash Fin
Author: inclusionai

Ling 3.0 Flash Fin: API Pricing, Context Window & Benchmarks

Ling 3.0 Flash Fin is a language model from Unknown Organization, released in September 2026, with a 262K-token context window, and pricing from $0.060/M input, $0.012/M cached input, $0.180/M output.

Ling-3.0-flash-Fin is the first finance-enhanced model in the Ant Ling family. Developed by Ant Group with leading financial institutions and domain experts, it extends Ling-3.0-flash through continued training on high-quality financial

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Ling 3.0 Flash Fin benchmarks

Capability tiers

Standing within each category, adjusted for leaderboard depth.

Real tasks performance

High-confidence performance for Ling 3.0 Flash Fin across real-world prompt categories. Only 95% intervals at most 4 points wide are shown.

Performance by conversation depth

How Ling 3.0 Flash Fin holds up as conversations get longer.

Quality Tracker

Ling 3.0 Flash Fin Performance Across Datasets

Scores sourced from the model's scorecard, paper, or official blog posts

llm-stats.com - Tue Sep 08 2026

Notice missing or incorrect data?

Ling 3.0 Flash Fin pricing

Providers

Ling 3.0 Flash Fin starts at $0.0600 per million input tokens and $0.180 per million output tokens via DeepInfra. Reused prompt prefixes cost $0.0120 per million cached input tokens.

Provider	Input $/M	Cached input $/M	Output $/M	Context in / out	TTFT p95 s	Output p5 c/s	Modalities in / out
DeepInfra	$0.0600	$0.0120	$0.180	262.1K/262.1K	—	—	/

Cached input is the discounted price for prompt tokens served from a provider cache. TTFT is time to first token. Output is characters per second; p5 is the sustained floor exceeded by 95% of observed requests.

Ling 3.0 Flash Fin context window

Input and output token limits for Ling 3.0 Flash Fin, plus how it ranks on long-context understanding.

InputOutput

262Ktokens

≈ 394 pages of text

262K

8K128K1M

Ling 3.0 Flash Fin API

Available from the model provider

Ling 3.0 Flash Fin is available from DeepInfra. It is not currently routed through the LLM Stats gateway.

Read the official API documentation

Ling 3.0 Flash Fin latency

Ling 3.0 Flash Fin time to first token, sustained output throughput, and failed-request rate from live API traffic over the trailing 7 days.

Ling 3.0 Flash Fin examples

Recent arena outputs from Ling 3.0 Flash Fin, picked from the highest-ranked matchups.

Ling 3.0 Flash Fin license

Ling 3.0 Flash Fin has 124.0B parameters.

Parameters: 124.0B

Ling 3.0 Flash Fin resources

Official sources for Ling 3.0 Flash Fin: api documentation, model weights.

Ling 3.0 Flash Fin vs other models

The most-compared alternatives to Ling 3.0 Flash Fin are Qwen3.7 Max, Kimi K2.6, Muse Spark 1.1. Open any pair side-by-side for benchmarks, pricing, context, and latency.