Neither wins outright: AionLabs: Aion 3.5 is the pick when you need structured output (JSON schema), Pareto 26.10 when cost matters at scale.
| Spec | AionLabs: Aion 3.5 | Pareto 26.10 |
|---|---|---|
| Provider | Aion Labs | Unbiased |
| Input price (per 1M tokens) | $3.00 | $0.80 |
| Output price (per 1M tokens) | $6.00 | $3.20 |
| Blended price (3:1 input/output) | $3.75 | $1.40 |
| Cheaper than … of all models we track | 17% | 33% |
| Context window | 262K tokens (~393 pages) | 1.0M tokens (~1,573 pages) |
| Larger context than … of all models | 47% | 80% |
| Max output per response | 33K tokens (~24,600 words) | 131K tokens (~98,300 words) |
| Input types | text | text, image |
| Output types | text | text |
| Free variant | No | No |
| Listed since | 2026-09-23 | 2026-10-15 |
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 | Pareto 26.10 | Difference |
|---|---|---|---|
| Customer-support chatbot 50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens) | $345 | $124 | Pareto 26.10 saves $221 |
| RAG search over documents 20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens) | $420 | $128 | Pareto 26.10 saves $292 |
| 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 | $134 | Pareto 26.10 saves $298 |
| Batch summarisation 10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens) | $276 | $83.20 | Pareto 26.10 saves $193 |
| Long-document analysis 500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens) | $156 | $43.20 | Pareto 26.10 saves $113 |
| Capability | AionLabs: Aion 3.5 | 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 | 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) | — | — | 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.
Neither wins outright: AionLabs: Aion 3.5 is the pick when you need structured output (JSON schema), Pareto 26.10 when cost matters at scale. In short: AionLabs: Aion 3.5 when you need structured output (JSON schema), you need reasoning / thinking mode; Pareto 26.10 when cost matters at scale, you need to fit long inputs in one request, you need image input, you generate long outputs in one go.
Pareto 26.10 is cheaper: $1.40 vs $3.75 per 1M tokens at a typical 3:1 input/output mix, 63% less. For 50,000 support conversations a month that is $124 against $345.
AionLabs: Aion 3.5 costs $3.00 per 1M input tokens and $6.00 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.
Pareto 26.10: 1.0M tokens, about 1,573 pages, against 262K (about 393 pages) for AionLabs: Aion 3.5.
Tool calling — AionLabs: Aion 3.5: yes, Pareto 26.10: yes. JSON-schema structured output — AionLabs: Aion 3.5: yes, Pareto 26.10: not advertised.
Only Pareto 26.10 accepts image input; AionLabs: Aion 3.5 is text-only for input.
No free variant is listed for either; both are pay-per-token.
AionLabs: Aion 3.5 can write up to 33K tokens (about 24,600 words) per response; Pareto 26.10 up to 131K (about 98,300 words).
AionLabs: Aion 3.5 was listed on 2026-09-23; Pareto 26.10 on 2026-10-15.
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 →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.
Full Pareto 26.10 specs →