AiCostCompare

Ling 3.0 Flash

by Inclusionai · inclusionai/ling-3.0-flash · #7 cheapest of 422 paid models

Prices updated Sep 19, 2026, 6:21 PM UTC · refreshed hourly

*Ling-3.0-flash* is a *124B-parameter Mixture-of-Experts (MoE) model*, with approximately *5.1B parameters activated per token*. The model is designed with *token efficiency and production-scale agentic inference* as key priorities, enabling developers...

Compare vs:Claude Sonnet 5Claude Opus 4.6Claude Haiku 4.5GPT-5.6 Sol

Pricing

Input

$0.021

per 1M tokens

Output

$0.063

per 1M tokens

Blended (3:1)

$0.032

3 input : 1 output

Cache read

$0.0042

per 1M cached tokens

Cache write

per 1M tokens

Cache & batch economics

Effective prices for Ling 3.0 Flash with prompt caching.

Cache hit rateEffective blended $/1MExample request*vs no cache
0%$0.032$0.002205
50%$0.025$0.001365−38%
90%$0.02$0.000693−69%

*Example: 100K sticky context + 2K new input + 1K output. Batch discount is an approximate 50% off list rates (available for OpenAI / Anthropic / Google — not flagged for this creator). Confirm on the vendor’s pricing page.

What a request costs

WorkloadInput tokensOutput tokensCost / requestCost / 1K requests
Short chat message500300$2.94e-5$0.0294
Document summary8,0001,000$0.000231$0.231
Codebase question (RAG)30,0002,000$0.000756$0.756
Long-context analysis150,0005,000$0.003465$3.46

Performance

Intelligence Index

20.6

AA composite quality

Coding Index

50.6

Math Index

Agentic Index

21

Output speed

354 tok/s

median

Time to first token

1.67s

median

Time to first answer

7.32s

after reasoning tokens

Artificial Analysis benchmarks

BenchmarkScore
GPQA Diamond85.5%
Humanity's Last Exam23.7%
SciCode42.0%
AA-LCR (Long Context Reasoning)73.0%
Terminal-Bench 2.155.4%
τ³-Bench Banking27.2%

Specs

Context window

262K

tokens

Max output

33K

tokens

Input modalities

text

Tokenizer

Other