Compare models
Choose two or three models, including exact thinking and fast versions. Copy the URL to share your selection.
| Comparison | Claude Opus 5 Fastanthropic/claude-opus-5-fast | Choose model 2 |
|---|---|---|
| Type | Chat | — |
| Best for | Complex reasoning, multi-step analysis and difficult coding | — |
| TokenRex price | $10.00 in / $50.00 out per 1M tokens | — |
| Cached input / 1M tokens | $1.00 per 1M tokens | — |
| Cache write / 1M tokens | $12.50 per 1M tokens | — |
| Cached output | Not offered · standard output rate applies | — |
| Market price | $10.00 in / $50.00 out per 1M tokens | — |
| Context window (provider) | 1,000,000 tokens | — |
| Input token limit (provider) | Within the context window | — |
| Maximum output | 128,000 tokens | — |
| Knowledge cutoff | May 2026 | — |
| Vendor input modalities | Text, Image | — |
| Vendor output modalities | Text | — |
| TokenRex endpoints | POST /v1/chat/completions · POST /v1/messages | — |
| TokenRex input | Text, Image/PDF content through the chat bridge | — |
| TokenRex output | Text | — |
No overall score, winner or cost-versus-score frontier is calculated without comparable, attributable benchmark evidence. Different test configurations appear separately. Vendor capabilities are distinct from TokenRex API support.
— means no published value or no matching capability. Provider token limits are not tested gateway guarantees; TokenRex media controls and response formats are listed separately.
Claude Opus 5 Fast
Sources and verification
Provider specifications describe the upstream model, not a guarantee of every feature through TokenRex. Prices come from the enabled catalog; benchmark results belong to the exact tested model.
- Provider model specifications
Vendor-reported
Last checked - Anthropic Fable 5.1 system card · sections 8.1–8.11
Vendor-reported
Last checked - Cognition · FrontierCode 1.1 original leaderboard
Third-party report
Last checked
Research notes (1)
- Published provider limits; maximum-capacity requests have not been independently exercised through TokenRex. Thinking-level variants use the same provider model; reasoning and answer tokens share the output budget.