Mistral: Mistral Small 4 (batch) vs Qwen: Qwen3.7 Plus (batch)

Neither wins outright: Mistral: Mistral Small 4 (batch) is the pick when cost matters at scale, Qwen: Qwen3.7 Plus (batch) when you need log-probabilities.

Key numbers

SpecMistral: Mistral Small 4 (batch)Qwen: Qwen3.7 Plus (batch)
ProviderMistral AIQwen
Input price (per 1M tokens)$0.07$0.23
Output price (per 1M tokens)$0.30$0.92
Blended price (3:1 input/output)$0.13$0.40
Cheaper than … of all models we track76%57%
Context window262K tokens (~393 pages)262K tokens (~393 pages)
Larger context than … of all models48%48%
Max output per response210K tokens (~157,300 words)131K tokens (~98,300 words)
Input typestext, imagetext, image
Output typestexttext
Free variantNoNo
Listed since2026-03-162026-06-03

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)Mistral: Mistral Small 4 (batch)Qwen: Qwen3.7 Plus (batch)Difference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$11.63$35.65Mistral: Mistral Small 4 (batch) saves $24.02
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$12.00$36.80Mistral: Mistral Small 4 (batch) saves $24.80
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)
$12.60$38.64Mistral: Mistral Small 4 (batch) saves $26.04
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$7.80$23.92Mistral: Mistral Small 4 (batch) saves $16.12
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$4.05$12.42Mistral: Mistral Small 4 (batch) saves $8.37

Capabilities side by side

CapabilityMistral: Mistral Small 4 (batch)Qwen: 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——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✓ 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
2026-09-10Mistral: Mistral Small 4 (batch)$0.07$0.30

Which should you choose?

Choose Mistral: Mistral Small 4 (batch) if…

  • cost matters at scale — it is 67% cheaper on a typical 3:1 input/output mix ($11.63 vs $35.65 a month for 50,000 support chats)
  • you generate long outputs in one go — up to 210K tokens (about 157,300 words) per response

Choose Qwen: Qwen3.7 Plus (batch) if…

  • you need log-probabilities — to read token confidence for classification and scoring; Mistral: Mistral Small 4 (batch) does not advertise it

Frequently asked questions

Is Mistral: Mistral Small 4 (batch) better than Qwen: Qwen3.7 Plus (batch)?

Neither wins outright: Mistral: Mistral Small 4 (batch) is the pick when cost matters at scale, Qwen: Qwen3.7 Plus (batch) when you need log-probabilities. In short: Mistral: Mistral Small 4 (batch) when cost matters at scale, you generate long outputs in one go; Qwen: Qwen3.7 Plus (batch) when you need log-probabilities.

Which is cheaper, Mistral: Mistral Small 4 (batch) or Qwen: Qwen3.7 Plus (batch)?

Mistral: Mistral Small 4 (batch) is cheaper: $0.13 vs $0.40 per 1M tokens at a typical 3:1 input/output mix, 67% less. For 50,000 support conversations a month that is $11.63 against $35.65.

How much do Mistral: Mistral Small 4 (batch) and Qwen: Qwen3.7 Plus (batch) cost per million tokens?

Mistral: Mistral Small 4 (batch) costs $0.07 per 1M input tokens and $0.30 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, Mistral: Mistral Small 4 (batch) or Qwen: Qwen3.7 Plus (batch)?

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

Do Mistral: Mistral Small 4 (batch) and Qwen: Qwen3.7 Plus (batch) support function calling and JSON output?

Tool calling — Mistral: Mistral Small 4 (batch): yes, Qwen: Qwen3.7 Plus (batch): yes. JSON-schema structured output — Mistral: Mistral Small 4 (batch): yes, Qwen: Qwen3.7 Plus (batch): yes.

Can Mistral: Mistral Small 4 (batch) or Qwen: Qwen3.7 Plus (batch) read images?

Yes, both accept image input.

Is Mistral: Mistral Small 4 (batch) 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 Mistral: Mistral Small 4 (batch) and Qwen: Qwen3.7 Plus (batch)?

Mistral: Mistral Small 4 (batch) can write up to 210K tokens (about 157,300 words) per response; Qwen: Qwen3.7 Plus (batch) up to 131K (about 98,300 words).

When were Mistral: Mistral Small 4 (batch) and Qwen: Qwen3.7 Plus (batch) released?

Mistral: Mistral Small 4 (batch) was listed on 2026-03-16; Qwen: Qwen3.7 Plus (batch) on 2026-06-03.

Has the price of Mistral: Mistral Small 4 (batch) or Qwen: Qwen3.7 Plus (batch) changed?

Mistral: Mistral Small 4 (batch): input price cut 50% ($0.15 → $0.07/1M), output price cut 50% ($0.60 → $0.30/1M) on 2026-09-10. Qwen: Qwen3.7 Plus (batch): price unchanged since we started tracking it on 2026-10-17.

About the two models

Compare Mistral: Mistral Small 4 (batch) with other models

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

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