Apertus v1.5 70B
by Swiss AIChat
Open, ethically-sourced Swiss AI model for multilingual, multimodal chat and instruction following
- Context
- 100K tokens
- Max output
- 8,192 tokens
- Parameters
- 72B total
- Released
- 2026-07-24
- Weights
- Open
- Licence
- apache-2.0
swiss-ai/apertus-v1-5-70b
Specifications
Full facts as recorded, incl. what is unknown.
- Released
- 2026-07-24
- Weights
- Opengated
- License
- apache-2.0
- Input
- Text, Image, Audio
- Output
- Text
- Context window
- 100,000 max across endpoints
- Max output
- 8,192
- Providers
- 1
- Epoch Capabilities Index
- not evaluated
- Direct price range
- $0.87 in · $3.10 out per 1M tokens · from its one provider
More details
- Last updated
- 2026-08-01
- Knowledge cutoff
- Weights link
- Hugging Face · swiss-ai/Apertus-v1.5-70B
- Parameters
- 72B total
Capabilities
Across all endpoints: supported if any endpoint supports it.
- Tool calling
- Parallel toolsunknown
- Structured outputunknown
- Reasoning
- Image input
- PDF input
- Audio input
- Audio outputunknown
- Video input
- Prompt cachingunknown
- Web searchunknown
- Computer useunknown
- System messagesunknown
- Assistant prefillunknown
- Temperature
- Streamingunknown
- Attachments
Endpoints
One row per provider and variant; gateways are listed separately.
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Price history
No change since 19 Oct 2026. The cheapest direct price has been $0.87 in / $3.10 out per 1M tokens at Infomaniak on every data refresh since then.
Tracked from 19 Oct 2026. Headline-eligible direct prices only, so a price the sanity check flags never draws a spike. Series as JSON
Cost calculator
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More from Swiss AI
Newest Swiss AI models in the catalogue. All Swiss AI models
| Model | Released | Context | Listed price |
|---|---|---|---|
| Apertus 70B Instruct | 2025-09-02 | 65.5K | from $0.46 |
| Apertus-8B-Instruct-2509 | — | — | from $0.10 |
| Apertus-70B-Instruct-2509 | — | — | from $0.82 |
| apertus-8b-instruct | — | 8.2K | unpriced |
Heads up: prices are indicative list rates scraped from provider pricing pages; verify with the provider before relying on them. Report incorrect data for this model