Side by side
Aion 3.5 vs Sonar Deep Research
Source: OpenRouter (live)
Live figures
The numbers
Best value in each row is highlighted. “Not declared” means the provider does not advertise the feature on its listing.
| Attribute | ||
|---|---|---|
| Input priceUSD per 1M tokens | $3.00 | $2.00 (best) |
| Output priceUSD per 1M tokens | $6.00 (best) | $8.00 |
| Blended price75% in / 25% out | $3.75 | $3.50 (best) |
| Vs. market median | 4.4× dearer | 4.1× dearer |
| Value rankcheapest = 1 | #344 | #342 (best) |
| Context windowtokens | 262K (best) | 128K |
| Max outputtokens | 33K | 115K (best) |
| Input modalities | text | text |
| Output modalities | text | text |
| Tool calling | Declared | Not declared |
| Reasoning | Declared | Declared |
| Structured output | Declared | Not declared |
| Listed on OpenRouter | 2026-09-23 (best) | 2025-03-07 |
Blended price assumes a 3:1 input-to-output token mix. Median is across all 431 priced models.
Add or swap modelsCost calculator
At your volume
Estimate the monthly bill for these models at your own token volumes.
| Model | Input | Output | Monthly | Yearly | vs cheapest | |
|---|---|---|---|---|---|---|
| Perplexity: Sonar Deep Research Perplexity · $2.00 in / $8.00 out per M | $100 | $120 | $220 | $2,640 | Cheapest | |
| AionLabs: Aion 3.5 Aion Labs · $3.00 in / $6.00 out per M | $150 | $90 | $240 | $2,880 | +$20 (1.1×) |
Estimates use list prices per million tokens from live provider listings. Cached-input, batch and volume discounts are not included, so real bills are often lower.
Read-out
What the numbers say
- Perplexity: Sonar Deep Research is the cheapest here at $3.50/M blended; AionLabs: Aion 3.5 costs 7% more.
- AionLabs: Aion 3.5 offers the largest context window (262K tokens) versus 128K for Perplexity: Sonar Deep Research.
- Tool calling is declared for AionLabs: Aion 3.5 only.
Models
Model pages
Full pricing history, capabilities and alternatives for each model in this comparison.
Aion Labs
$3.75
/M blended
Perplexity: Sonar Deep Research
Perplexity
$3.50
/M blended
More comparisons
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