Opus 4.5
Opus 4.5 by Anthropic: 10 offers. From €2.23 per 1M input tokens. No offer with EU processing is listed.
Calculate costs for this modelCompare offersView price history
Profile
| Profile | |
|---|---|
| Developer | Anthropic |
| Type | Language models |
| Origin | US |
| Input types | text+bild |
| Context (tokens) | 200,000 |
| Max. output (tokens) | 64,000 |
| Reasoning | mit |
| Parameters (bn) | – |
| Open weights | – no |
| Licence | proprietär |
| Released | – |
Offers with processing in the EU (1)
| Provider | Country | Variant | Input | Output | Source | As of |
|---|---|---|---|---|---|---|
| cortecs | AT | standard | €4.77 | €23.85 | api.cortecs.ai | 14 Oct 2026 |
€ per 1M tokens. Source: providers' pricing pages, read and checked by searchit. As of 14 Oct 2026.
Offers outside the EU (9)
| Provider | Country | Variant | Input | Output | Source | As of |
|---|---|---|---|---|---|---|
| Anthropic | US | batch | €2.23 | €11.17 | platform.claude.com | 14 Oct 2026 |
| AWS Bedrock | US | global-batch | €2.23 | €11.17 | pricing.us-east-1.amazonaws.com | 12 Oct 2026 |
| Google Vertex AI | US | batch | €2.23 | €11.17 | cloud.google.com | 14 Oct 2026 |
| AWS Bedrock | US | regional-batch | €2.46 | €12.29 | pricing.us-east-1.amazonaws.com | 12 Oct 2026 |
| Anthropic | US | standard | €4.47 | €22.35 | platform.claude.com | 14 Oct 2026 |
| AWS Bedrock | US | global | €4.47 | €22.35 | pricing.us-east-1.amazonaws.com | 12 Oct 2026 |
| Google Vertex AI | US | standard | €4.47 | €22.35 | cloud.google.com | 14 Oct 2026 |
| AWS Bedrock | US | regional | €4.92 | €24.58 | pricing.us-east-1.amazonaws.com | 12 Oct 2026 |
| Venice.ai | US | standard | €5.36 | €26.81 | docs.venice.ai | 14 Oct 2026 |
€ per 1M tokens. Source: providers' pricing pages, read and checked by searchit. As of 14 Oct 2026.
AI Act
Whether the developer has signed the Code of Practice for general-purpose AI models: unknown. What this means is explained under “EU and AI Act”. EU processing and AI Act
Benchmarks
| Benchmarks | |
|---|---|
| GPQA Diamond (Artificial Analysis) | 86.6 |
| Humanity's Last Exam (Artificial Analysis) | 30.1 |
| ARC-AGI-2 (ARC Prize Foundation) | 37.64 |
| Berkeley Function-Calling Leaderboard V4 | 77.47 |
| OTIS Mock AIME 2024-2025 (Epoch AI) | 86.1 |
| FrontierMath Tiers 1-3 v2 (Epoch AI) | 34.4 |
| SimpleQA Verified (Epoch AI) | 45.7 |
| SWE-bench Verified (Epoch AI) | 76.7 |
| Vectara HHEM-2.3 | 10.9 |
| Vectara HHEM-2.3 – antwortrate | 98.7 |
| Vectara HHEM-2.3 – halluzination | 10.9 |
| LiveBench (Aufgabensatz 2026-01-08) | 72.58 |
| SWE-bench Pro Public (Scale AI) | 45.89 |