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Model comparison

Gemini 3.5 Flash-Lite vs Ling 3.0 Flash

Google against InclusionAI, compared on context, price, and verified benchmark results.

Catalog record checked August 13, 2026; individual provider fields may change.

Google

Gemini 3.5 Flash-Lite

Budget

vs

InclusionAI

Ling 3.0 Flash

Budget · Open weights

AI model capability comparison
SpecificationGemini 3.5 Flash-LiteLing 3.0 Flash
ProviderGoogleInclusionAI
TierBudgetBudget
Context windowWinner: 1.05M262K
Max output66KNot verified
Input / 1M tokens$0.30Winner: $0.075
Output / 1M tokens$2.50Winner: $0.22
WeightsClosedOpen
ParametersNot disclosed124B total / 5.1B active (MoE)
Reasoning levelsNot verifiedNot verified
Modalitiestext, image, video, audio, pdftext
ReleasedJuly 21, 2026July 24, 2026
Artificial Analysis Intelligence Index (2026-08-08)37Winner: 38

Prices are USD per million tokens at standard rates, excluding batch and caching discounts. Bold indicates the better figure where one is objectively better. Values we could not confirm from the provider are shown as “Not verified” rather than estimated.

Budget

Gemini 3.5 Flash-Lite

Google's cheapest current Flash-class API tier for high-volume, latency-sensitive agent loops.

Best for

  • High-volume agents
  • Document pipelines
  • Cost-sensitive multimodal work

Watch out

Cheaper than 3.6 and 3.7 Flash, not stronger on hard reasoning — pick it for throughput, not frontier coding.

BudgetOpen weights

Ling 3.0 Flash

InclusionAI's cost-focused Flash tier for high-frequency hybrid reasoning and agent loops at low list rates.

Best for

  • High-volume agent loops
  • Cost-sensitive chat and extraction
  • Fast hybrid reasoning

Watch out

Native context is 256Ki tokens (262,144). Confirm serving provider and current list before committing volume.

Common questions

Gemini 3.5 Flash-Lite vs Ling 3.0 Flash

Answered from the verified figures on this page rather than general guidance.

Is Gemini 3.5 Flash-Lite or Ling 3.0 Flash cheaper for input?

Ling 3.0 Flash is cheaper at $0.075 per million input tokens, against $0.30 for Gemini 3.5 Flash-Lite — roughly 4.0× the price. Output tokens usually dominate a real bill, so weigh the output rate more heavily than the input rate.

Is Gemini 3.5 Flash-Lite or Ling 3.0 Flash cheaper for output?

Ling 3.0 Flash is cheaper at $0.22 per million output tokens, against $2.50 for Gemini 3.5 Flash-Lite — roughly 11× the price. Output tokens usually dominate a real bill, so weigh the output rate more heavily than the input rate.

Which has the larger context window, Gemini 3.5 Flash-Lite or Ling 3.0 Flash?

Gemini 3.5 Flash-Lite accepts 1.05M tokens against 262K for Ling 3.0 Flash. This only matters if you routinely send very long documents or large codebases.

Should I use Gemini 3.5 Flash-Lite or Ling 3.0 Flash?

Both sit in the budget tier, so the choice usually comes down to price and context rather than capability. Gemini 3.5 Flash-Lite suits high-volume agents; Ling 3.0 Flash suits high-volume agent loops.

Can I self-host Gemini 3.5 Flash-Lite or Ling 3.0 Flash?

Ling 3.0 Flash publishes open weights, but self-hosting and third-party provider access depend on the licence, hardware, serving support, and availability. Gemini 3.5 Flash-Lite is a closed model whose supported access paths are controlled by its provider.

Next step

Choosing between them

Tier and workload decide this more reliably than a leaderboard position does.

If both sit in the same tier, the decision usually comes down to context window and output price rather than headline capability — output tokens dominate real bills.

If one is a step up within the same provider, the useful question is whether your hardest task actually fails on the cheaper tier. Most production volume — classification, extraction, summarization — does not.

Choosing a harness rather than a model — Cursor, Copilot, Claude Code, Muse Code, or Lovable? Compare agentic harnesses · Latest releases.