// head_to_head
Aion-3.0-Mini vs Gemini 3.5 Flash Lite
Published LiveBench scores across all seven categories, live list pricing, context windows, and the measured cost of a point of capability — for both models, side by side.
Aion-3.0-Mini and Gemini 3.5 Flash Lite are priced within ~10% of each other.
Aion-3.0-Mini does not have a published LiveBench run, so this comparison covers price, context and declared capabilities only. A missing score means "not evaluated", not "worse" — the right way to separate these two is an eval on your own workload.
aion-labs
Aion-3.0-Mini
- Blended / 1M
- $0.875
- Context
- 131K
- Released
- Jul 7, 2026
- Overall score
- Not evaluated
Gemini 3.5 Flash Lite
- Blended / 1M
- $0.850
- Context
- 1.0M
- Released
- Jul 21, 2026
- Overall score
- 63.9
Specs and pricing
| Metric | Aion-3.0-Mini | Gemini 3.5 Flash Lite |
|---|---|---|
| LiveBench overall Mean of the seven LiveBench category scores, 0–100. Higher is better. | — | 63.9 |
| Cost per point Measured benchmark spend divided by overall score — dollars per point of capability. | — | $0.0379 |
| Blended price / 1M 3:1 input:output mix, the usual shape of production traffic. | $0.875 | $0.850 |
| Input price / 1M | $0.700 | $0.300win |
| Output price / 1M | $1.40win | $2.50 |
| Cached input / 1M Price of an input token served from the prompt cache, where the provider publishes one. | $0.180 | $0.030win |
| Context window | 131K | 1.0Mwin |
| Max output tokens | 33K | 66Kwin |
Benchmarks by category
An overall score averages away the thing you probably care about. These are the seven LiveBench categories scored separately — Aion-3.0-Mini on top, Gemini 3.5 Flash Lite below, both out of 100.
What each one costs to run
Per-token prices are hard to feel. These are monthly list costs for both models across five workload shapes, using each provider's published cached-input rate where there is one.
| Workload | Aion-3.0-Mini | Gemini 3.5 Flash Lite |
|---|---|---|
| Support chatbot 1.2K in / 400 out × 200K requests | $242.56/mo | $252.56/mo |
| RAG assistant 8K in / 600 out × 100K requests | $436.00/mo | $282.00/mo |
| Coding agent 40K in / 4K out × 20K requests | $380.80/mo | $288.80/mo |
| Document extraction 20K in / 1.5K out × 50K requests | $779.00/mo | $474.00/mo |
| Bulk classification 500 in / 20 out × 5M requests | $1,630/mo | $865.00/mo |
Which should you pick?
You need to fit large documents in one call
Gemini 3.5 Flash Lite
Wider context window — 1.0M against 131K.
Aion-3.0-Mini vs Gemini 3.5 Flash Lite FAQ
Which is better, Aion-3.0-Mini or Gemini 3.5 Flash Lite?
Aion-3.0-Mini and Gemini 3.5 Flash Lite are priced within ~10% of each other. Aion-3.0-Mini does not have a published LiveBench run, so this comparison covers price, context and declared capabilities only. A missing score means "not evaluated", not "worse" — the right way to separate these two is an eval on your own workload.
Is Aion-3.0-Mini cheaper than Gemini 3.5 Flash Lite?
They cost about the same. Both land near $0.875 per million tokens on a 3:1 input:output blend, so price is unlikely to be the deciding factor between them.
Does Aion-3.0-Mini or Gemini 3.5 Flash Lite have a bigger context window?
Gemini 3.5 Flash Lite has the larger context window: 131K for Aion-3.0-Mini against 1.0M for Gemini 3.5 Flash Lite. Note that a window you can fill is not a window you should fill — retrieval quality usually degrades well before the limit, and you pay for every token you put in it.
Do Aion-3.0-Mini and Gemini 3.5 Flash Lite support prompt caching?
Both publish a cached-input rate: $0.180 per million for Aion-3.0-Mini and $0.030 for Gemini 3.5 Flash Lite, against full input rates of $0.700 and $0.300. On a workload with a long stable prefix — a system prompt, a tool schema, a retrieved corpus — that changes the economics more than the headline price does.
Related comparisons
How these numbers are produced
- Price — provider list price from OpenRouter, refreshed every 15 minutes. “Blended” is a 3:1 input:output mix.
- Scores — LiveBench release 2026-06-25, using their own category map. Each model shows its strongest published run. A blank means “not evaluated”, never “bad”.
- Cost per point — the measured dollars LiveBench spent on the run, divided by the score it earned.
- “Win” — awarded only past a threshold: one full point on a benchmark score, 10% on a price, 25% on a context window. Anything tighter reports as a tie, because effort settings alone move a LiveBench score by more than that.
Published benchmarks rank models on someone else's tasks. Before committing, see LLM & agent evaluation for building an eval on your own.