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Unknown OrganizationReleased on Aug 4, 2026

Ling 3.0 Flash: API Pricing, Context Window & Benchmarks

Ling 3.0 Flash is a language model from Unknown Organization, released in August 2026, with a 131K-token context window, and pricing from $0.060/M input, $0.012/M cached input, $0.180/M output.

The model prioritizes token efficiency and agentic inference at production scale, stretching what developers can achieve within limited token, latency, and serving-cost budgets.

Input
Text
Output
Text

Ling 3.0 Flash benchmarks

Capability tiers

Standing within each category, adjusted for leaderboard depth.

Real tasks performance

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

Performance by conversation depth

How Ling 3.0 Flash holds up as conversations get longer.

Quality Tracker

Ling 3.0 Flash Performance Across Datasets

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

LLM Stats Logollm-stats.com - Tue Sep 08 2026
Notice missing or incorrect data?

Ling 3.0 Flash pricing

Providers

Ling 3.0 Flash 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.

ProviderInput $/MCached input $/MOutput $/MContext in / outTTFT p95 sOutput p5 c/sModalities in / out
DeepInfra logoDeepInfra
$0.0600$0.0120$0.180131.1K/131.1K
/

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 context window

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

InputOutput
131Ktokens
131Ktokens
197 pages of text
131K
8K128K1M

Ling 3.0 Flash API

Available from the model provider

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

Read the official API documentation

Ling 3.0 Flash latency

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

Ling 3.0 Flash examples

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

Ling 3.0 Flash license

Ling 3.0 Flash has 124.0B parameters.

Parameters
124.0B

Ling 3.0 Flash resources

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

Ling 3.0 Flash vs other models

The most-compared alternatives to Ling 3.0 Flash are GPT OSS 120B High, Step-3.5-Flash, MiMo-V2-Pro. Open any pair side-by-side for benchmarks, pricing, context, and latency.

Models like Ling 3.0 Flash

Models ranked just above and below Ling 3.0 Flash by LLM Stats score.

 

GPT OSS 120B High

Score pending
 

Step-3.5-Flash

Score pending
 

MiMo-V2-Pro

Score pending
 

Qwen3.5-397B-A17B

Score pending
 

GPT-5.3 Codex

Score pending
 

Qwen3.6 Plus

Score pending

FAQ

Common questions about Ling 3.0 Flash.

When was Ling 3.0 Flash released?

Ling 3.0 Flash was released on August 4, 2026 by inclusionai. This is the official Ling 3.0 Flash release date tracked on LLM Stats.

How much does Ling 3.0 Flash cost?

Ling 3.0 Flash 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 available via API?

Yes, Ling 3.0 Flash 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?

Ling 3.0 Flash has 124 billion parameters.

Who created Ling 3.0 Flash?

Ling 3.0 Flash was created by inclusionai.

Where can I use Ling 3.0 Flash?

Ling 3.0 Flash is available through 1 provider including DeepInfra.

What models should I compare Ling 3.0 Flash against?

Common Ling 3.0 Flash comparisons include Ling 3.0 Flash vs GPT OSS 120B High, Ling 3.0 Flash vs Step-3.5-Flash, Ling 3.0 Flash vs MiMo-V2-Pro. Compare them side by side for benchmark scores, pricing, context window, latency and API availability.