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 2.5 Pro
Pareto 26.10
Difference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$294
$124
Pareto 26.10 saves $170
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$250
$128
Pareto 26.10 saves $122
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)
$270
$134
Pareto 26.10 saves $136
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$160
$83.20
Pareto 26.10 saves $76.80
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$72.50
$43.20
Pareto 26.10 saves $29.30
Capabilities side by side
Capability
Google: Gemini 2.5 Pro
Pareto 26.10
What it lets you do
Tool / function calling
✓ Yes
✓ Yes
call your APIs and run agent loops
Structured output (JSON schema)
✓ Yes
—
return JSON that validates against your schema
Reasoning / thinking mode
✓ Yes
—
spend extra tokens thinking before answering hard problems
Image input
✓ Yes
✓ Yes
read screenshots, charts and scanned pages
Audio input
✓ 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 2.5 Pro: price unchanged since we started tracking it on 2026-03-10.
Pareto 26.10: price unchanged since we started tracking it on 2026-10-18.
Which should you choose?
Choose Google: Gemini 2.5 Pro if…
you need structured output (JSON schema) — to return JSON that validates against your schema; Pareto 26.10 does not advertise it
you need reasoning / thinking mode — to spend extra tokens thinking before answering hard problems; Pareto 26.10 does not advertise it
you need audio input — to take speech or audio directly; Pareto 26.10 does not advertise it
you need file / PDF input — to accept documents without your own parsing step; Pareto 26.10 does not advertise it
you need built-in web search — to answer from live web results; Pareto 26.10 does not advertise it
you need seed (reproducible sampling) — to repeat a generation for tests and evals; Pareto 26.10 does not advertise it
Choose Pareto 26.10 if…
cost matters at scale — it is 59% cheaper on a typical 3:1 input/output mix ($124 vs $294 a month for 50,000 support chats)
you generate long outputs in one go — up to 131K tokens (about 98,300 words) per response
you want the newer model — released 2026-10-15, 16 months after the other
Frequently asked questions
Is Google: Gemini 2.5 Pro better than Pareto 26.10?
Neither wins outright: Google: Gemini 2.5 Pro is the pick when you need structured output (JSON schema), Pareto 26.10 when cost matters at scale. In short: Google: Gemini 2.5 Pro when you need structured output (JSON schema), you need reasoning / thinking mode, you need audio input, you need file / PDF input, you need built-in web search, you need seed (reproducible sampling); Pareto 26.10 when cost matters at scale, you generate long outputs in one go, you want the newer model.
Which is cheaper, Google: Gemini 2.5 Pro or Pareto 26.10?
Pareto 26.10 is cheaper: $1.40 vs $3.44 per 1M tokens at a typical 3:1 input/output mix, 59% less. For 50,000 support conversations a month that is $124 against $294.
How much do Google: Gemini 2.5 Pro and Pareto 26.10 cost per million tokens?
Google: Gemini 2.5 Pro costs $1.25 per 1M input tokens and $10.00 per 1M output tokens; Pareto 26.10 costs $0.80 input and $3.20 output. Output tokens are billed separately, so long answers shift the gap.
Which has the bigger context window, Google: Gemini 2.5 Pro or Pareto 26.10?
Both take 1.0M tokens per request — roughly 1,573 pages of text.
Do Google: Gemini 2.5 Pro and Pareto 26.10 support function calling and JSON output?
Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...
Pareto is a multimodal composite model built for research, coding, and agentic workflows, while delivering frontier-level performance across a broad range of general-purpose tasks.