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Google: Gemini 2.5 Flash (batch) vs inclusionAI: Ling 3.0 Flash VL

Neither wins outright: Google: Gemini 2.5 Flash (batch) is the pick when you need to fit long inputs in one request, inclusionAI: Ling 3.0 Flash VL when cost matters at scale.

Key numbers

SpecGoogle: Gemini 2.5 Flash (batch)inclusionAI: Ling 3.0 Flash VL
ProviderGoogleinclusionAI
Input price (per 1M tokens)$0.15$0.06
Output price (per 1M tokens)$1.25$0.18
Blended price (3:1 input/output)$0.42$0.09
Cheaper than … of all models we track57%82%
Context window1.0M tokens (~1,573 pages)131K tokens (~197 pages)
Larger context than … of all models80%22%
Max output per response66K tokens (~49,200 words)33K tokens (~24,600 words)
Input typesfile, image, text, audio, videotext, image, video
Output typestexttext
Free variantNoYes
Listed since2025-06-172026-09-10
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What it costs for real workloads

Monthly cost at list price for five common workloads. Token counts per unit are stated so you can scale them to your own traffic. A workload that does not fit a model's context window is marked rather than priced.

Workload (per month)Google: Gemini 2.5 Flash (batch)inclusionAI: Ling 3.0 Flash VLDifference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$36.25$8.10inclusionAI: Ling 3.0 Flash VL saves $28.15
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$30.50$9.00inclusionAI: Ling 3.0 Flash VL saves $21.50
Coding / tool-using agent
2,000 tasks — each a multi-step task with tool calls and file context (60,000 in / 6,000 out tokens)
$33.00$9.36inclusionAI: Ling 3.0 Flash VL saves $23.64
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$19.50$5.88inclusionAI: Ling 3.0 Flash VL saves $13.62
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$8.75$3.18inclusionAI: Ling 3.0 Flash VL saves $5.57

Capabilities side by side

CapabilityGoogle: Gemini 2.5 Flash (batch)inclusionAI: Ling 3.0 Flash VLWhat it lets you do
Tool / function calling✓ Yes✓ Yescall your APIs and run agent loops
Structured output (JSON schema)✓ Yes✓ Yesreturn JSON that validates against your schema
Reasoning / thinking mode✓ Yes✓ Yesspend extra tokens thinking before answering hard problems
Image input✓ Yes✓ Yesread screenshots, charts and scanned pages
Audio input✓ Yes—take speech or audio directly
File / PDF input✓ Yes—accept documents without your own parsing step
Image output——generate images, not just text
Built-in web search✓ Yes—answer from live web results
Seed (reproducible sampling)✓ Yes✓ Yesrepeat a generation for tests and evals
Log-probabilities——read token confidence for classification and scoring

From each model's published parameters and input/output types. “—” means not advertised, not proven absent.

Price history

DateModelInput / 1MOutput / 1M
2026-10-14inclusionAI: Ling 3.0 Flash VL$0.06$0.18
2026-09-26inclusionAI: Ling 3.0 Flash VL$0.02$0.06

Which should you choose?

Choose Google: Gemini 2.5 Flash (batch) if…

  • you need to fit long inputs in one request — 1.0M tokens is roughly 1,573 pages, against 197
  • you need audio input — to take speech or audio directly; inclusionAI: Ling 3.0 Flash VL does not advertise it
  • you need file / PDF input — to accept documents without your own parsing step; inclusionAI: Ling 3.0 Flash VL does not advertise it
  • you need built-in web search — to answer from live web results; inclusionAI: Ling 3.0 Flash VL does not advertise it
  • you generate long outputs in one go — up to 66K tokens (about 49,200 words) per response

Choose inclusionAI: Ling 3.0 Flash VL if…

  • cost matters at scale — it is 79% cheaper on a typical 3:1 input/output mix ($8.10 vs $36.25 a month for 50,000 support chats)
  • you want to prototype at zero cost — a free variant is listed
  • you want the newer model — released 2026-09-10, 15 months after the other

Frequently asked questions

Is Google: Gemini 2.5 Flash (batch) better than inclusionAI: Ling 3.0 Flash VL?

Neither wins outright: Google: Gemini 2.5 Flash (batch) is the pick when you need to fit long inputs in one request, inclusionAI: Ling 3.0 Flash VL when cost matters at scale. In short: Google: Gemini 2.5 Flash (batch) when you need to fit long inputs in one request, you need audio input, you need file / PDF input, you need built-in web search, you generate long outputs in one go; inclusionAI: Ling 3.0 Flash VL when cost matters at scale, you want to prototype at zero cost, you want the newer model.

Which is cheaper, Google: Gemini 2.5 Flash (batch) or inclusionAI: Ling 3.0 Flash VL?

inclusionAI: Ling 3.0 Flash VL is cheaper: $0.09 vs $0.42 per 1M tokens at a typical 3:1 input/output mix, 79% less. For 50,000 support conversations a month that is $8.10 against $36.25.

How much do Google: Gemini 2.5 Flash (batch) and inclusionAI: Ling 3.0 Flash VL cost per million tokens?

Google: Gemini 2.5 Flash (batch) costs $0.15 per 1M input tokens and $1.25 per 1M output tokens; inclusionAI: Ling 3.0 Flash VL costs $0.06 input and $0.18 output. Output tokens are billed separately, so long answers shift the gap.

Which has the bigger context window, Google: Gemini 2.5 Flash (batch) or inclusionAI: Ling 3.0 Flash VL?

Google: Gemini 2.5 Flash (batch): 1.0M tokens, about 1,573 pages, against 131K (about 197 pages) for inclusionAI: Ling 3.0 Flash VL.

Do Google: Gemini 2.5 Flash (batch) and inclusionAI: Ling 3.0 Flash VL support function calling and JSON output?

Tool calling — Google: Gemini 2.5 Flash (batch): yes, inclusionAI: Ling 3.0 Flash VL: yes. JSON-schema structured output — Google: Gemini 2.5 Flash (batch): yes, inclusionAI: Ling 3.0 Flash VL: yes.

Can Google: Gemini 2.5 Flash (batch) or inclusionAI: Ling 3.0 Flash VL read images?

Yes, both accept image input.

Is Google: Gemini 2.5 Flash (batch) or inclusionAI: Ling 3.0 Flash VL free to use?

inclusionAI: Ling 3.0 Flash VL has a free variant (inclusionai/ling-3.0-flash-vl:free). Free variants usually carry tighter rate limits.

What is the maximum output length of Google: Gemini 2.5 Flash (batch) and inclusionAI: Ling 3.0 Flash VL?

Google: Gemini 2.5 Flash (batch) can write up to 66K tokens (about 49,200 words) per response; inclusionAI: Ling 3.0 Flash VL up to 33K (about 24,600 words).

When were Google: Gemini 2.5 Flash (batch) and inclusionAI: Ling 3.0 Flash VL released?

Google: Gemini 2.5 Flash (batch) was listed on 2025-06-17; inclusionAI: Ling 3.0 Flash VL on 2026-09-10.

Has the price of Google: Gemini 2.5 Flash (batch) or inclusionAI: Ling 3.0 Flash VL changed?

Google: Gemini 2.5 Flash (batch): price unchanged since we started tracking it on 2026-08-07. inclusionAI: Ling 3.0 Flash VL: input price raised 65% ($0.02 → $0.06/1M), output price raised 66% ($0.06 → $0.18/1M) on 2026-10-14 (2 price changes since 2026-09-12).

About the two models

Compare Google: Gemini 2.5 Flash (batch) with other models

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Compare inclusionAI: Ling 3.0 Flash VL with other models

vs AI21: Jamba Large 1.7vs AionLabs: Aion 3.5vs AionLabs: Aion 3.5 Minivs AionLabs: Aion-1.0
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