Google: Gemini 4 Argon vs Xiaomi: MiMo-V2.6-Pro-UltraSpeed
Neither wins outright: Google: Gemini 4 Argon is the pick when cost matters at scale, Xiaomi: MiMo-V2.6-Pro-UltraSpeed when you generate long outputs in one go.
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
Xiaomi: MiMo-V2.6-Pro-UltraSpeed
Difference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$350
$500
Google: Gemini 4 Argon saves $150
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$340
$609
Google: Gemini 4 Argon saves $269
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)
$360
$626
Google: Gemini 4 Argon saves $266
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$220
$400
Google: Gemini 4 Argon saves $180
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$110
$226
Google: Gemini 4 Argon saves $116
Capabilities side by side
Capability
Google: Gemini 4 Argon
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: 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 if…
cost matters at scale — it is 26% cheaper on a typical 3:1 input/output mix ($350 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
Choose Xiaomi: MiMo-V2.6-Pro-UltraSpeed if…
you generate long outputs in one go — up to 131K tokens (about 98,300 words) per response
Frequently asked questions
Is Google: Gemini 4 Argon better than Xiaomi: MiMo-V2.6-Pro-UltraSpeed?
Neither wins outright: Google: Gemini 4 Argon is the pick when cost matters at scale, Xiaomi: MiMo-V2.6-Pro-UltraSpeed when you generate long outputs in one go. In short: Google: Gemini 4 Argon when cost matters at scale, you need file / PDF input, you need built-in web search, you need seed (reproducible sampling); Xiaomi: MiMo-V2.6-Pro-UltraSpeed when you generate long outputs in one go.
Which is cheaper, Google: Gemini 4 Argon or Xiaomi: MiMo-V2.6-Pro-UltraSpeed?
Google: Gemini 4 Argon is cheaper: $4.00 vs $5.44 per 1M tokens at a typical 3:1 input/output mix, 26% less. For 50,000 support conversations a month that is $350 against $500.
How much do Google: Gemini 4 Argon and Xiaomi: MiMo-V2.6-Pro-UltraSpeed cost per million tokens?
Google: Gemini 4 Argon costs $2.00 per 1M input tokens and $10.00 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 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 and Xiaomi: MiMo-V2.6-Pro-UltraSpeed support function calling and JSON output?
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...