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inclusionAI: Ling 3.0 Flash Fin vs Qwen: Qwen3 VL 30B A3B Thinking

Neither wins outright: inclusionAI: Ling 3.0 Flash Fin is the pick when cost matters at scale, Qwen: Qwen3 VL 30B A3B Thinking when you need structured output (JSON schema).

Key numbers

SpecinclusionAI: Ling 3.0 Flash FinQwen: Qwen3 VL 30B A3B Thinking
ProviderInclusionaiQwen
Input price (per 1M tokens)$0.04$0.29
Output price (per 1M tokens)$0.12$1.00
Blended price (3:1 input/output)$0.06$0.47
Cheaper than … of all models we track86%55%
Context window262K tokens (~393 pages)262K tokens (~393 pages)
Larger context than … of all models47%47%
Max output per response33K tokens (~24,600 words)236K tokens (~176,900 words)
Input typestexttext, image
Output typestexttext
Free variantYesNo
Listed since2026-08-272025-10-06
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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)inclusionAI: Ling 3.0 Flash FinQwen: Qwen3 VL 30B A3B ThinkingDifference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$5.61$41.75inclusionAI: Ling 3.0 Flash Fin saves $36.14
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$6.27$44.80inclusionAI: Ling 3.0 Flash Fin saves $38.53
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)
$6.52$46.80inclusionAI: Ling 3.0 Flash Fin saves $40.28
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$4.10$29.20inclusionAI: Ling 3.0 Flash Fin saves $25.10
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$2.22$15.50inclusionAI: Ling 3.0 Flash Fin saves $13.28

Capabilities side by side

CapabilityinclusionAI: Ling 3.0 Flash FinQwen: Qwen3 VL 30B A3B ThinkingWhat it lets you do
Tool / function calling✓ Yes✓ Yescall your APIs and run agent loops
Structured output (JSON schema)—✓ Yesreturn JSON that validates against your schema
Reasoning / thinking mode✓ Yes✓ Yesspend extra tokens thinking before answering hard problems
Image input—✓ Yesread screenshots, charts and scanned pages
Audio input——take speech or audio directly
File / PDF input——accept documents without your own parsing step
Image output——generate images, not just text
Built-in web search——answer from live web results
Seed (reproducible sampling)✓ Yes—repeat a generation for tests and evals
Log-probabilities✓ Yes—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
2026-10-10Qwen: Qwen3 VL 30B A3B Thinking$0.29$1.00
2026-10-03inclusionAI: Ling 3.0 Flash Fin$0.04$0.12
2026-08-06Qwen: Qwen3 VL 30B A3B Thinking$0.20$2.40
2026-03-31Qwen: Qwen3 VL 30B A3B Thinking$0.13$1.56

Which should you choose?

Choose inclusionAI: Ling 3.0 Flash Fin if…

  • cost matters at scale — it is 87% cheaper on a typical 3:1 input/output mix ($5.61 vs $41.75 a month for 50,000 support chats)
  • you need seed (reproducible sampling) — to repeat a generation for tests and evals; Qwen: Qwen3 VL 30B A3B Thinking does not advertise it
  • you need log-probabilities — to read token confidence for classification and scoring; Qwen: Qwen3 VL 30B A3B Thinking does not advertise it
  • you want to prototype at zero cost — a free variant is listed
  • you want the newer model — released 2026-08-27, 11 months after the other

Choose Qwen: Qwen3 VL 30B A3B Thinking if…

  • you need structured output (JSON schema) — to return JSON that validates against your schema; inclusionAI: Ling 3.0 Flash Fin does not advertise it
  • you need image input — to read screenshots, charts and scanned pages; inclusionAI: Ling 3.0 Flash Fin does not advertise it
  • you generate long outputs in one go — up to 236K tokens (about 176,900 words) per response

Frequently asked questions

Is inclusionAI: Ling 3.0 Flash Fin better than Qwen: Qwen3 VL 30B A3B Thinking?

Neither wins outright: inclusionAI: Ling 3.0 Flash Fin is the pick when cost matters at scale, Qwen: Qwen3 VL 30B A3B Thinking when you need structured output (JSON schema). In short: inclusionAI: Ling 3.0 Flash Fin when cost matters at scale, you need seed (reproducible sampling), you need log-probabilities, you want to prototype at zero cost, you want the newer model; Qwen: Qwen3 VL 30B A3B Thinking when you need structured output (JSON schema), you need image input, you generate long outputs in one go.

Which is cheaper, inclusionAI: Ling 3.0 Flash Fin or Qwen: Qwen3 VL 30B A3B Thinking?

inclusionAI: Ling 3.0 Flash Fin is cheaper: $0.06 vs $0.47 per 1M tokens at a typical 3:1 input/output mix, 87% less. For 50,000 support conversations a month that is $5.61 against $41.75.

How much do inclusionAI: Ling 3.0 Flash Fin and Qwen: Qwen3 VL 30B A3B Thinking cost per million tokens?

inclusionAI: Ling 3.0 Flash Fin costs $0.04 per 1M input tokens and $0.12 per 1M output tokens; Qwen: Qwen3 VL 30B A3B Thinking costs $0.29 input and $1.00 output. Output tokens are billed separately, so long answers shift the gap.

Which has the bigger context window, inclusionAI: Ling 3.0 Flash Fin or Qwen: Qwen3 VL 30B A3B Thinking?

Both take 262K tokens per request — roughly 393 pages of text.

Do inclusionAI: Ling 3.0 Flash Fin and Qwen: Qwen3 VL 30B A3B Thinking support function calling and JSON output?

Tool calling — inclusionAI: Ling 3.0 Flash Fin: yes, Qwen: Qwen3 VL 30B A3B Thinking: yes. JSON-schema structured output — inclusionAI: Ling 3.0 Flash Fin: not advertised, Qwen: Qwen3 VL 30B A3B Thinking: yes.

Can inclusionAI: Ling 3.0 Flash Fin or Qwen: Qwen3 VL 30B A3B Thinking read images?

Only Qwen: Qwen3 VL 30B A3B Thinking accepts image input; inclusionAI: Ling 3.0 Flash Fin is text-only for input.

Is inclusionAI: Ling 3.0 Flash Fin or Qwen: Qwen3 VL 30B A3B Thinking free to use?

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

What is the maximum output length of inclusionAI: Ling 3.0 Flash Fin and Qwen: Qwen3 VL 30B A3B Thinking?

inclusionAI: Ling 3.0 Flash Fin can write up to 33K tokens (about 24,600 words) per response; Qwen: Qwen3 VL 30B A3B Thinking up to 236K (about 176,900 words).

When were inclusionAI: Ling 3.0 Flash Fin and Qwen: Qwen3 VL 30B A3B Thinking released?

inclusionAI: Ling 3.0 Flash Fin was listed on 2026-08-27; Qwen: Qwen3 VL 30B A3B Thinking on 2025-10-06.

Has the price of inclusionAI: Ling 3.0 Flash Fin or Qwen: Qwen3 VL 30B A3B Thinking changed?

inclusionAI: Ling 3.0 Flash Fin: input price cut 30% ($0.06 → $0.04/1M), output price cut 32% ($0.18 → $0.12/1M) on 2026-10-03. Qwen: Qwen3 VL 30B A3B Thinking: input price raised 31% ($0.20 → $0.29/1M), output price cut 58% ($2.40 → $1.00/1M) on 2026-10-10 (3 price changes since 2026-03-10).

About the two models

Compare inclusionAI: Ling 3.0 Flash Fin with other models

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

Compare Qwen: Qwen3 VL 30B A3B Thinking 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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