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 4 Argon (batch)
Xiaomi: MiMo-V2.6-Pro-UltraSpeed
Difference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$175
$500
Google: Gemini 4 Argon (batch) saves $325
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$170
$609
Google: Gemini 4 Argon (batch) saves $439
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)
$180
$626
Google: Gemini 4 Argon (batch) saves $446
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$110
$400
Google: Gemini 4 Argon (batch) saves $290
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$55.00
$226
Google: Gemini 4 Argon (batch) saves $171
Capabilities side by side
Capability
Google: Gemini 4 Argon (batch)
Xiaomi: MiMo-V2.6-Pro-UltraSpeed
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
✓ Yes
✓ Yes
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
—
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.
Price history
Google: Gemini 4 Argon (batch): price unchanged since we started tracking it on 2026-10-14.
Xiaomi: MiMo-V2.6-Pro-UltraSpeed: price unchanged since we started tracking it on 2026-09-22.
Which should you choose?
Choose Google: Gemini 4 Argon (batch) if…
cost matters at scale — it is 63% cheaper on a typical 3:1 input/output mix ($175 vs $500 a month for 50,000 support chats)
you need file / PDF input — to accept documents without your own parsing step; Xiaomi: MiMo-V2.6-Pro-UltraSpeed does not advertise it
you need built-in web search — to answer from live web results; Xiaomi: MiMo-V2.6-Pro-UltraSpeed does not advertise it
you need seed (reproducible sampling) — to repeat a generation for tests and evals; Xiaomi: MiMo-V2.6-Pro-UltraSpeed does not advertise it
you generate long outputs in one go — up to 944K tokens (about 707,800 words) per response
Choose Xiaomi: MiMo-V2.6-Pro-UltraSpeed if…
No advantage on the data we track — pick it for provider preference or output quality on your own prompts.
Frequently asked questions
Is Google: Gemini 4 Argon (batch) better than Xiaomi: MiMo-V2.6-Pro-UltraSpeed?
Google: Gemini 4 Argon (batch) comes out ahead on the data we track: 5 advantages and none for Xiaomi: MiMo-V2.6-Pro-UltraSpeed.
Which is cheaper, Google: Gemini 4 Argon (batch) or Xiaomi: MiMo-V2.6-Pro-UltraSpeed?
Google: Gemini 4 Argon (batch) is cheaper: $2.00 vs $5.44 per 1M tokens at a typical 3:1 input/output mix, 63% less. For 50,000 support conversations a month that is $175 against $500.
How much do Google: Gemini 4 Argon (batch) and Xiaomi: MiMo-V2.6-Pro-UltraSpeed cost per million tokens?
Google: Gemini 4 Argon (batch) costs $1.00 per 1M input tokens and $5.00 per 1M output tokens; Xiaomi: MiMo-V2.6-Pro-UltraSpeed costs $4.35 input and $8.70 output. Output tokens are billed separately, so long answers shift the gap.
Which has the bigger context window, Google: Gemini 4 Argon (batch) or Xiaomi: MiMo-V2.6-Pro-UltraSpeed?
Both take 1.0M tokens per request — roughly 1,573 pages of text.
Do Google: Gemini 4 Argon (batch) and Xiaomi: MiMo-V2.6-Pro-UltraSpeed support function calling and JSON output?
Can Google: Gemini 4 Argon (batch) or Xiaomi: MiMo-V2.6-Pro-UltraSpeed read images?
Yes, both accept image input.
Is Google: Gemini 4 Argon (batch) or Xiaomi: MiMo-V2.6-Pro-UltraSpeed free to use?
No free variant is listed for either; both are pay-per-token.
What is the maximum output length of Google: Gemini 4 Argon (batch) and Xiaomi: MiMo-V2.6-Pro-UltraSpeed?
Google: Gemini 4 Argon (batch) can write up to 944K tokens (about 707,800 words) per response; Xiaomi: MiMo-V2.6-Pro-UltraSpeed up to 131K (about 98,300 words).
When were Google: Gemini 4 Argon (batch) and Xiaomi: MiMo-V2.6-Pro-UltraSpeed released?
Google: Gemini 4 Argon (batch) was listed on 2026-10-13; Xiaomi: MiMo-V2.6-Pro-UltraSpeed on 2026-09-21.
Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across...
MiMo-V2.6-Pro-UltraSpeed is the fast speed edition of Xiaomi's flagship foundation model, MiMo-V2.6-Pro. Built from the same 1T MiMo-V2.6-Pro checkpoint, it matches the original model in quality while delivering roughly 10x...