OpenAI: GPT-5 Mini vs Qwen: Qwen3.7 Plus (batch)

Neither wins outright: OpenAI: GPT-5 Mini is the pick when you need to fit long inputs in one request, Qwen: Qwen3.7 Plus (batch) when cost matters at scale.

Key numbers

SpecOpenAI: GPT-5 MiniQwen: Qwen3.7 Plus (batch)
ProviderOpenAIQwen
Input price (per 1M tokens)$0.25$0.23
Output price (per 1M tokens)$2.00$0.92
Blended price (3:1 input/output)$0.69$0.40
Cheaper than … of all models we track47%57%
Context window400K tokens (~600 pages)262K tokens (~393 pages)
Larger context than … of all models63%48%
Max output per response128K tokens (~96,000 words)131K tokens (~98,300 words)
Input typestext, image, filetext, image
Output typestexttext
Free variantNoNo
Listed since2025-08-072026-06-03

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)OpenAI: GPT-5 MiniQwen: Qwen3.7 Plus (batch)Difference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$58.75$35.65Qwen: Qwen3.7 Plus (batch) saves $23.10
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$50.00$36.80Qwen: Qwen3.7 Plus (batch) saves $13.20
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)
$54.00$38.64Qwen: Qwen3.7 Plus (batch) saves $15.36
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$32.00$23.92Qwen: Qwen3.7 Plus (batch) saves $8.08
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$14.50$12.42Qwen: Qwen3.7 Plus (batch) saves $2.08

Capabilities side by side

CapabilityOpenAI: GPT-5 MiniQwen: Qwen3.7 Plus (batch)What 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——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—✓ 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

Which should you choose?

Choose OpenAI: GPT-5 Mini if…

  • you need to fit long inputs in one request — 400K tokens is roughly 600 pages, against 393
  • you need file / PDF input — to accept documents without your own parsing step; Qwen: Qwen3.7 Plus (batch) does not advertise it
  • you need built-in web search — to answer from live web results; Qwen: Qwen3.7 Plus (batch) does not advertise it

Choose Qwen: Qwen3.7 Plus (batch) if…

  • cost matters at scale — it is 41% cheaper on a typical 3:1 input/output mix ($35.65 vs $58.75 a month for 50,000 support chats)
  • you need log-probabilities — to read token confidence for classification and scoring; OpenAI: GPT-5 Mini does not advertise it
  • you want the newer model — released 2026-06-03, 10 months after the other

Frequently asked questions

Is OpenAI: GPT-5 Mini better than Qwen: Qwen3.7 Plus (batch)?

Neither wins outright: OpenAI: GPT-5 Mini is the pick when you need to fit long inputs in one request, Qwen: Qwen3.7 Plus (batch) when cost matters at scale. In short: OpenAI: GPT-5 Mini when you need to fit long inputs in one request, you need file / PDF input, you need built-in web search; Qwen: Qwen3.7 Plus (batch) when cost matters at scale, you need log-probabilities, you want the newer model.

Which is cheaper, OpenAI: GPT-5 Mini or Qwen: Qwen3.7 Plus (batch)?

Qwen: Qwen3.7 Plus (batch) is cheaper: $0.40 vs $0.69 per 1M tokens at a typical 3:1 input/output mix, 41% less. For 50,000 support conversations a month that is $35.65 against $58.75.

How much do OpenAI: GPT-5 Mini and Qwen: Qwen3.7 Plus (batch) cost per million tokens?

OpenAI: GPT-5 Mini costs $0.25 per 1M input tokens and $2.00 per 1M output tokens; Qwen: Qwen3.7 Plus (batch) costs $0.23 input and $0.92 output. Output tokens are billed separately, so long answers shift the gap.

Which has the bigger context window, OpenAI: GPT-5 Mini or Qwen: Qwen3.7 Plus (batch)?

OpenAI: GPT-5 Mini: 400K tokens, about 600 pages, against 262K (about 393 pages) for Qwen: Qwen3.7 Plus (batch).

Do OpenAI: GPT-5 Mini and Qwen: Qwen3.7 Plus (batch) support function calling and JSON output?

Tool calling — OpenAI: GPT-5 Mini: yes, Qwen: Qwen3.7 Plus (batch): yes. JSON-schema structured output — OpenAI: GPT-5 Mini: yes, Qwen: Qwen3.7 Plus (batch): yes.

Can OpenAI: GPT-5 Mini or Qwen: Qwen3.7 Plus (batch) read images?

Yes, both accept image input.

Is OpenAI: GPT-5 Mini or Qwen: Qwen3.7 Plus (batch) free to use?

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

What is the maximum output length of OpenAI: GPT-5 Mini and Qwen: Qwen3.7 Plus (batch)?

OpenAI: GPT-5 Mini can write up to 128K tokens (about 96,000 words) per response; Qwen: Qwen3.7 Plus (batch) up to 131K (about 98,300 words).

When were OpenAI: GPT-5 Mini and Qwen: Qwen3.7 Plus (batch) released?

OpenAI: GPT-5 Mini was listed on 2025-08-07; Qwen: Qwen3.7 Plus (batch) on 2026-06-03.

About the two models

OpenAI

OpenAI: GPT-5 Mini

GPT-5 Mini is a compact version of GPT-5, designed to handle lighter-weight reasoning tasks. It provides the same instruction-following and safety-tuning benefits as GPT-5, but with reduced latency and cost....

Full OpenAI: GPT-5 Mini specs →

Compare OpenAI: GPT-5 Mini with other models

Compare Qwen: Qwen3.7 Plus (batch) with other models

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