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)
AionLabs: Aion 3.5
Google: Gemma 2 27B
Difference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$345
$61.75
Google: Gemma 2 27B saves $283
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$420
$84.50
Google: Gemma 2 27B saves $336
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)
$432
Doesn't fit context
—
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$276
Doesn't fit context
—
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$156
Doesn't fit context
—
Capabilities side by side
Capability
AionLabs: Aion 3.5
Google: Gemma 2 27B
What it lets you do
Tool / function calling
✓ 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
—
spend extra tokens thinking before answering hard problems
Image input
—
—
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.
Price history
AionLabs: Aion 3.5: price unchanged since we started tracking it on 2026-09-24.
Google: Gemma 2 27B: price unchanged since we started tracking it on 2026-03-10.
Which should you choose?
Choose AionLabs: Aion 3.5 if…
you need to fit long inputs in one request — 262K tokens is roughly 393 pages, against 12
you need tool / function calling — to call your APIs and run agent loops; Google: Gemma 2 27B does not advertise it
you need reasoning / thinking mode — to spend extra tokens thinking before answering hard problems; Google: Gemma 2 27B does not advertise it
you generate long outputs in one go — up to 33K tokens (about 24,600 words) per response
you want the newer model — released 2026-09-23, 27 months after the other
Choose Google: Gemma 2 27B if…
cost matters at scale — it is 83% cheaper on a typical 3:1 input/output mix ($61.75 vs $345 a month for 50,000 support chats)
you need seed (reproducible sampling) — to repeat a generation for tests and evals; AionLabs: Aion 3.5 does not advertise it
Frequently asked questions
Is AionLabs: Aion 3.5 better than Google: Gemma 2 27B?
Neither wins outright: AionLabs: Aion 3.5 is the pick when you need to fit long inputs in one request, Google: Gemma 2 27B when cost matters at scale. In short: AionLabs: Aion 3.5 when you need to fit long inputs in one request, you need tool / function calling, you need reasoning / thinking mode, you generate long outputs in one go, you want the newer model; Google: Gemma 2 27B when cost matters at scale, you need seed (reproducible sampling).
Which is cheaper, AionLabs: Aion 3.5 or Google: Gemma 2 27B?
Google: Gemma 2 27B is cheaper: $0.65 vs $3.75 per 1M tokens at a typical 3:1 input/output mix, 83% less. For 50,000 support conversations a month that is $61.75 against $345.
How much do AionLabs: Aion 3.5 and Google: Gemma 2 27B cost per million tokens?
AionLabs: Aion 3.5 costs $3.00 per 1M input tokens and $6.00 per 1M output tokens; Google: Gemma 2 27B costs $0.65 input and $0.65 output. Output tokens are billed separately, so long answers shift the gap.
Which has the bigger context window, AionLabs: Aion 3.5 or Google: Gemma 2 27B?
AionLabs: Aion 3.5: 262K tokens, about 393 pages, against 8K (about 12 pages) for Google: Gemma 2 27B.
Do AionLabs: Aion 3.5 and Google: Gemma 2 27B support function calling and JSON output?
Aion 3.5 is a multi-model roleplaying and storytelling system from AionLabs, built on the GLM family of models. It uses a collaborative generation process in which multiple specialized models each...
Gemma 2 27B by Google is an open model built from the same research and technology used to create the [Gemini models](/models?q=gemini). Gemma models are well-suited for a variety of...