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: Qwen3.5-9B (batch)
Difference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$11.63
$17.75
Mistral: Mistral Small 4 (batch) saves $6.13
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$12.00
$22.90
Mistral: Mistral Small 4 (batch) saves $10.90
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
$23.40
Mistral: Mistral Small 4 (batch) saves $10.80
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$7.80
$15.10
Mistral: Mistral Small 4 (batch) saves $7.30
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
$8.75
Mistral: Mistral Small 4 (batch) saves $4.70
Capabilities side by side
Capability
Mistral: Mistral Small 4 (batch)
Qwen: Qwen3.5-9B (batch)
What it lets you do
Tool / function calling
✓ Yes
✓ Yes
call your APIs and run agent loops
Structured output (JSON schema)
✓ Yes
✓ Yes
return JSON that validates against your schema
Reasoning / thinking mode
✓ Yes
✓ Yes
spend extra tokens thinking before answering hard problems
Image input
✓ Yes
✓ Yes
read 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
—
—
read token confidence for classification and scoring
From each model's published parameters and input/output types. “—” means not advertised, not proven absent.
Qwen: Qwen3.5-9B (batch): price unchanged since we started tracking it on 2026-08-29.
Date
Model
Input / 1M
Output / 1M
2026-09-10
Mistral: 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 31% cheaper on a typical 3:1 input/output mix ($11.63 vs $17.75 a month for 50,000 support chats)
you need seed (reproducible sampling) — to repeat a generation for tests and evals; Qwen: Qwen3.5-9B (batch) does not advertise it
Choose Qwen: Qwen3.5-9B (batch) if…
No advantage on the data we track — pick it for provider preference or output quality on your own prompts.
Frequently asked questions
Is Mistral: Mistral Small 4 (batch) better than Qwen: Qwen3.5-9B (batch)?
Mistral: Mistral Small 4 (batch) comes out ahead on the data we track: 2 advantages and none for Qwen: Qwen3.5-9B (batch).
Which is cheaper, Mistral: Mistral Small 4 (batch) or Qwen: Qwen3.5-9B (batch)?
Mistral: Mistral Small 4 (batch) is cheaper: $0.13 vs $0.19 per 1M tokens at a typical 3:1 input/output mix, 31% less. For 50,000 support conversations a month that is $11.63 against $17.75.
How much do Mistral: Mistral Small 4 (batch) and Qwen: Qwen3.5-9B (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: Qwen3.5-9B (batch) costs $0.17 input and $0.25 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: Qwen3.5-9B (batch)?
Both take 262K tokens per request — roughly 393 pages of text.
Do Mistral: Mistral Small 4 (batch) and Qwen: Qwen3.5-9B (batch) support function calling and JSON output?
Can Mistral: Mistral Small 4 (batch) or Qwen: Qwen3.5-9B (batch) read images?
Yes, both accept image input.
Is Mistral: Mistral Small 4 (batch) or Qwen: Qwen3.5-9B (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: Qwen3.5-9B (batch)?
Mistral: Mistral Small 4 (batch) can write up to 210K tokens (about 157,300 words) per response; Qwen: Qwen3.5-9B (batch) up to 236K (about 176,900 words).
When were Mistral: Mistral Small 4 (batch) and Qwen: Qwen3.5-9B (batch) released?
Mistral: Mistral Small 4 (batch) was listed on 2026-03-16; Qwen: Qwen3.5-9B (batch) on 2026-03-10.
Has the price of Mistral: Mistral Small 4 (batch) or Qwen: Qwen3.5-9B (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: Qwen3.5-9B (batch): price unchanged since we started tracking it on 2026-08-29.
Mistral Small 4 is the next major release in the Mistral Small family, unifying the capabilities of several flagship Mistral models into a single system. It combines strong reasoning from...
Qwen3.5-9B is a multimodal foundation model from the Qwen3.5 family, designed to deliver strong reasoning, coding, and visual understanding in an efficient 9B-parameter architecture. It uses a unified vision-language design...