Choose AionLabs: Aion 3.5 if…
No advantage on the data we track — pick it for provider preference or output quality on your own prompts.
AionLabs: Aion 3.5 vs Google: Gemini 4 Argon
Google: Gemini 4 Argon comes out ahead on the data we track: 7 advantages and none for AionLabs: Aion 3.5.
Key numbers
| Spec | AionLabs: Aion 3.5 | Google: Gemini 4 Argon |
|---|---|---|
| Provider | Aion Labs | |
| Input price (per 1M tokens) | $3.00 | $2.00 |
| Output price (per 1M tokens) | $6.00 | $10.00 |
| Blended price (3:1 input/output) | $3.75 | $4.00 |
| Cheaper than … of all models we track | 17% | 15% |
| Context window | 262K tokens (~393 pages) | 1.0M tokens (~1,573 pages) |
| Larger context than … of all models | 48% | 81% |
| Max output per response | 33K tokens (~24,600 words) | 66K tokens (~49,200 words) |
| Input types | text | audio, file, image, text, video |
| Output types | text | text |
| Free variant | No | No |
| Listed since | 2026-09-23 | 2026-10-13 |
What it costs for real workloads
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: Gemini 4 Argon | Difference |
|---|---|---|---|
| Customer-support chatbot 50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens) | $345 | $350 | AionLabs: Aion 3.5 saves $5.00 |
| RAG search over documents 20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens) | $420 | $340 | Google: Gemini 4 Argon saves $80.00 |
| 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 | $360 | Google: Gemini 4 Argon saves $72.00 |
| Batch summarisation 10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens) | $276 | $220 | Google: Gemini 4 Argon saves $56.00 |
| Long-document analysis 500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens) | $156 | $110 | Google: Gemini 4 Argon saves $46.00 |
Capabilities side by side
| Capability | AionLabs: Aion 3.5 | Google: Gemini 4 Argon | 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 | 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
- AionLabs: Aion 3.5: price unchanged since we started tracking it on 2026-09-24.
- Google: Gemini 4 Argon: price unchanged since we started tracking it on 2026-10-14.
Which should you choose?
Choose Google: Gemini 4 Argon if…
- you need to fit long inputs in one request — 1.0M tokens is roughly 1,573 pages, against 393
- you need image input — to read screenshots, charts and scanned pages; AionLabs: Aion 3.5 does not advertise it
- you need audio input — to take speech or audio directly; AionLabs: Aion 3.5 does not advertise it
- you need file / PDF input — to accept documents without your own parsing step; AionLabs: Aion 3.5 does not advertise it
- you need built-in web search — to answer from live web results; AionLabs: Aion 3.5 does not advertise it
- you need seed (reproducible sampling) — to repeat a generation for tests and evals; AionLabs: Aion 3.5 does not advertise it
- you generate long outputs in one go — up to 66K tokens (about 49,200 words) per response
Frequently asked questions
Is AionLabs: Aion 3.5 better than Google: Gemini 4 Argon?
Google: Gemini 4 Argon comes out ahead on the data we track: 7 advantages and none for AionLabs: Aion 3.5.
Which is cheaper, AionLabs: Aion 3.5 or Google: Gemini 4 Argon?
AionLabs: Aion 3.5 is cheaper: $3.75 vs $4.00 per 1M tokens at a typical 3:1 input/output mix, 6% less. For 50,000 support conversations a month that is $345 against $350.
How much do AionLabs: Aion 3.5 and Google: Gemini 4 Argon cost per million tokens?
AionLabs: Aion 3.5 costs $3.00 per 1M input tokens and $6.00 per 1M output tokens; Google: Gemini 4 Argon costs $2.00 input and $10.00 output. Output tokens are billed separately, so long answers shift the gap.
Which has the bigger context window, AionLabs: Aion 3.5 or Google: Gemini 4 Argon?
Google: Gemini 4 Argon: 1.0M tokens, about 1,573 pages, against 262K (about 393 pages) for AionLabs: Aion 3.5.
Do AionLabs: Aion 3.5 and Google: Gemini 4 Argon support function calling and JSON output?
Tool calling — AionLabs: Aion 3.5: yes, Google: Gemini 4 Argon: yes. JSON-schema structured output — AionLabs: Aion 3.5: yes, Google: Gemini 4 Argon: yes.
Can AionLabs: Aion 3.5 or Google: Gemini 4 Argon read images?
Only Google: Gemini 4 Argon accepts image input; AionLabs: Aion 3.5 is text-only for input.
Is AionLabs: Aion 3.5 or Google: Gemini 4 Argon free to use?
No free variant is listed for either; both are pay-per-token.
What is the maximum output length of AionLabs: Aion 3.5 and Google: Gemini 4 Argon?
AionLabs: Aion 3.5 can write up to 33K tokens (about 24,600 words) per response; Google: Gemini 4 Argon up to 66K (about 49,200 words).
When were AionLabs: Aion 3.5 and Google: Gemini 4 Argon released?
AionLabs: Aion 3.5 was listed on 2026-09-23; Google: Gemini 4 Argon on 2026-10-13.
About the two models
AionLabs: Aion 3.5
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...
Full AionLabs: Aion 3.5 specs →Google: Gemini 4 Argon
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...
Full Google: Gemini 4 Argon specs →