Google: Gemini 3.8 Flash vs Qwen: Qwen3.8 Omni Flash

Neither wins outright: Google: Gemini 3.8 Flash is the pick when you need file / PDF input, Qwen: Qwen3.8 Omni Flash when cost matters at scale.

Key numbers

SpecGoogle: Gemini 3.8 FlashQwen: Qwen3.8 Omni Flash
ProviderGoogleQwen
Input price (per 1M tokens)$0.82$0.15
Output price (per 1M tokens)$4.13$0.47
Blended price (3:1 input/output)$1.65$0.23
Cheaper than … of all models we track30%67%
Context window1.0M tokens (~1,573 pages)1M tokens (~1,500 pages)
Larger context than … of all models80%69%
Max output per response66K tokens (~49,200 words)131K tokens (~98,300 words)
Input typestext, image, video, file, audiotext, image, audio, video
Output typestexttext
Free variantNoNo
Listed since2026-09-022026-09-21
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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 3.8 FlashQwen: Qwen3.8 Omni FlashDifference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$144$20.65Qwen: Qwen3.8 Omni Flash saves $124
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$140$22.70Qwen: Qwen3.8 Omni Flash saves $118
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)
$149$23.64Qwen: Qwen3.8 Omni Flash saves $125
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$90.75$14.82Qwen: Qwen3.8 Omni Flash saves $75.93
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$45.38$7.97Qwen: Qwen3.8 Omni Flash saves $37.41

Capabilities side by side

CapabilityGoogle: Gemini 3.8 FlashQwen: Qwen3.8 Omni FlashWhat 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✓ Yestake 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—✓ Yesread 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
2026-10-16Google: Gemini 3.8 Flash$0.82$4.13

Which should you choose?

Choose Google: Gemini 3.8 Flash if…

  • you need file / PDF input — to accept documents without your own parsing step; Qwen: Qwen3.8 Omni Flash does not advertise it
  • you need built-in web search — to answer from live web results; Qwen: Qwen3.8 Omni Flash does not advertise it

Choose Qwen: Qwen3.8 Omni Flash if…

  • cost matters at scale — it is 86% cheaper on a typical 3:1 input/output mix ($20.65 vs $144 a month for 50,000 support chats)
  • you need log-probabilities — to read token confidence for classification and scoring; Google: Gemini 3.8 Flash does not advertise it
  • you generate long outputs in one go — up to 131K tokens (about 98,300 words) per response

Frequently asked questions

Is Google: Gemini 3.8 Flash better than Qwen: Qwen3.8 Omni Flash?

Neither wins outright: Google: Gemini 3.8 Flash is the pick when you need file / PDF input, Qwen: Qwen3.8 Omni Flash when cost matters at scale. In short: Google: Gemini 3.8 Flash when you need file / PDF input, you need built-in web search; Qwen: Qwen3.8 Omni Flash when cost matters at scale, you need log-probabilities, you generate long outputs in one go.

Which is cheaper, Google: Gemini 3.8 Flash or Qwen: Qwen3.8 Omni Flash?

Qwen: Qwen3.8 Omni Flash is cheaper: $0.23 vs $1.65 per 1M tokens at a typical 3:1 input/output mix, 86% less. For 50,000 support conversations a month that is $20.65 against $144.

How much do Google: Gemini 3.8 Flash and Qwen: Qwen3.8 Omni Flash cost per million tokens?

Google: Gemini 3.8 Flash costs $0.82 per 1M input tokens and $4.13 per 1M output tokens; Qwen: Qwen3.8 Omni Flash costs $0.15 input and $0.47 output. Output tokens are billed separately, so long answers shift the gap.

Which has the bigger context window, Google: Gemini 3.8 Flash or Qwen: Qwen3.8 Omni Flash?

Google: Gemini 3.8 Flash: 1.0M tokens, about 1,573 pages, against 1M (about 1,500 pages) for Qwen: Qwen3.8 Omni Flash.

Do Google: Gemini 3.8 Flash and Qwen: Qwen3.8 Omni Flash support function calling and JSON output?

Tool calling — Google: Gemini 3.8 Flash: yes, Qwen: Qwen3.8 Omni Flash: yes. JSON-schema structured output — Google: Gemini 3.8 Flash: yes, Qwen: Qwen3.8 Omni Flash: yes.

Can Google: Gemini 3.8 Flash or Qwen: Qwen3.8 Omni Flash read images?

Yes, both accept image input.

Is Google: Gemini 3.8 Flash or Qwen: Qwen3.8 Omni Flash free to use?

No free variant is listed for either; both are pay-per-token.

What is the maximum output length of Google: Gemini 3.8 Flash and Qwen: Qwen3.8 Omni Flash?

Google: Gemini 3.8 Flash can write up to 66K tokens (about 49,200 words) per response; Qwen: Qwen3.8 Omni Flash up to 131K (about 98,300 words).

When were Google: Gemini 3.8 Flash and Qwen: Qwen3.8 Omni Flash released?

Google: Gemini 3.8 Flash was listed on 2026-09-02; Qwen: Qwen3.8 Omni Flash on 2026-09-21.

Has the price of Google: Gemini 3.8 Flash or Qwen: Qwen3.8 Omni Flash changed?

Google: Gemini 3.8 Flash: input price raised 9% ($0.75 → $0.82/1M), output price raised 9% ($3.75 → $4.13/1M) on 2026-10-16. Qwen: Qwen3.8 Omni Flash: price unchanged since we started tracking it on 2026-09-23.

About the two models

Compare Google: Gemini 3.8 Flash with other models

Compare Qwen: Qwen3.8 Omni Flash with other models

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