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Anthropic
Claude Opus 5
Claude Opus 5 is a chat model from Anthropic in the Claude Opus line, the company's naming tier for its largest, highest-capability models.
Input from
$2.50 / 1M tokens
across 4 providers
API Pricing
Cheapest on Anthropic — 40% below avg| Provider | Input / 1M | Output / 1M | Cached / 1M |
|---|---|---|---|
| $2.50 | $12.50 | $0.250 | |
| $2.50 | $12.50 | $0.250 | |
| $5.00 | $25.00 | - | |
| $5.00 | $25.00 | $0.500 | |
| $5.00 | $25.00 | $0.500 | |
| $5.00 | $25.00 | $0.500 |
Prices updated daily. Last check: Sep 8, 2026
Claude Opus 5 pricing by provider
Input, output, and batch rates, plus alternatives, for one provider at a time.
Performance & Benchmarks
Source: Artificial Analysis →Intelligence
54.1 / 100
Coding
78.0 / 100
Output Speed
51.6 t/s
Latency (TTFT)
38.2s
Reasoning & Knowledge
- GPQA Diamond93.2%
- Humanity's Last Exam54.9%
Coding
- SciCode56.4%
Agentic & Tool Use
- Terminal-Bench v2.189.1%
- τ-bench Banking42.1%
Instruction & Long Context
- Long-Context Reasoning79.3%
Benchmarks measured Sep 2026. Scores are independent evaluations, not vendor-reported.
Model Details
General
- Creator
- Anthropic
- Modalities
- Text
Capabilities
- Tool Calling
- No
- Open Source
- No
Strengths & Limitations
Strengths
- Belongs to Anthropic's Opus tier, the naming level reserved for its largest Claude models
- Measured output speed of roughly 53 tokens per second in Artificial Analysis testing, adequate for streamed long-form responses
- Part of the Claude family, so it can typically be swapped with Sonnet- and Haiku-tier siblings behind a common API surface
- Suited to workloads where a single high-quality pass is preferable to multiple retries on a smaller model
- Independent third-party throughput and latency measurements are available rather than vendor-only claims
- Offered by multiple providers in our catalog, allowing pricing and pricing-mode comparison in the table above
Limitations
- Measured time to first token of about 9.6 seconds makes it a poor fit for latency-sensitive interactive UIs
- Opus-tier models are generally the most expensive rung of the Claude lineup on a per-token basis
- Output throughput of ~53 tokens per second trails smaller, faster chat models
- We do not track a confirmed context window, modality list, or tool-calling detail for this entry — verify against Anthropic's documentation before building on assumptions
- Anthropic serves Claude models via API rather than distributing downloadable weights, so self-hosting is not an option
Key Features
•Anthropic Claude Opus tier model
•Chat/completions style text generation
•Measured output throughput of approximately 53 tokens per second (Artificial Analysis)
•Measured time to first token of approximately 9.6 seconds (Artificial Analysis)
•Streaming response support typical of Claude API endpoints
•Part of a tiered family (Opus / Sonnel-class / Haiku-class) enabling routing between capability levels
•Multi-provider availability tracked in the pricing table on this page
About Claude Opus 5
Claude Opus 5 is a conversational large language model developed by Anthropic. It sits in the Opus branch of the Claude family, the name Anthropic uses for its heaviest-weight models, positioned above the Sonnet (balanced) and Haiku (lightweight) tiers in the same lineup. As an Opus-tier release, it is aimed at workloads where answer quality and multi-step reliability matter more than raw throughput or per-token economics.
Measured throughput data we track for Claude Opus 5 comes from Artificial Analysis: roughly 53 output tokens per second, with a time to first token of about 9.6 seconds. The high latency-to-first-token figure is characteristic of models that do substantial internal processing before emitting output, and it means Claude Opus 5 behaves differently in practice from a fast, low-latency chat model — it is better suited to requests where a user or an agent loop can tolerate a pause before the response begins streaming. Other specifications, including the exact context window, supported input modalities, and tool-calling details, are not tracked in our database for this entry; consult Anthropic's model documentation for those.
In practice, Opus-tier Claude models are typically used for the subset of traffic that smaller models handle unreliably — long refactors, dense document analysis, agentic sequences with many dependent steps — while Sonnet- and Haiku-class models absorb the higher-volume remainder. Availability and pricing for Claude Opus 5 differ by provider and by pricing mode (on-demand, batch, cached input), so check the pricing table on this page for the current picture.
Common Use Cases
Claude Opus 5 fits the workloads teams reserve for their top capability tier: multi-file code changes and reviews that require holding several constraints at once, analysis over long or dense source material, drafting and critiquing technical or legal text, and agent runs where an early mistake compounds across later steps. Its measured profile — around 53 output tokens per second with a roughly 9.6 second time to first token — argues against using it for autocomplete, live voice, or any UI where the user watches an empty box, and in favor of asynchronous and batch-style jobs: overnight document processing, evaluation and grading pipelines, CI-triggered code analysis, or a router's escalation path when a Sonnet- or Haiku-class model returns a low-confidence answer. For high-volume classification, extraction, or routing, a lighter model in the Claude family is usually the more economical choice, with Opus 5 handling only the residual hard cases.
Frequently Asked Questions
How much does Claude Opus 5 cost?
Pricing depends on which provider is serving the model and which pricing mode you use — on-demand per-token rates, batch discounts, and cached-input rates can all differ, and they change over time. See the pricing table on this page for the current figures across providers.
What is Claude Opus 5 best used for?
It is aimed at the hardest slice of a workload: complex coding and refactoring, long-document analysis, and multi-step agentic tasks where a wrong intermediate step is costly. Its high time to first token (~9.6 seconds measured) makes asynchronous, batch, and escalation-path usage a better fit than latency-critical interactive features.
How does Claude Opus 5 compare to Sonnet- or Haiku-tier Claude models?
Opus is Anthropic's naming tier for its largest models, so Claude Opus 5 is positioned above Sonnet-class (balanced cost and speed) and Haiku-class (lightweight, high-volume) siblings in the same family. The common pattern is to route most traffic to a smaller tier and reserve Opus 5 for requests that the smaller models handle unreliably.
Is Claude Opus 5 fast enough for real-time chat?
Third-party measurements put it at roughly 53 output tokens per second with a time to first token of about 9.6 seconds. Once streaming begins the pace is workable for reading, but the initial delay is long by interactive-chat standards, so most real-time products either show interim UI state or route those requests to a faster model.
Can I download or self-host Claude Opus 5?
Anthropic delivers Claude models through hosted APIs and partner clouds rather than as downloadable weights, so access is via an API provider. The pricing table on this page lists the providers we track for this model.
What context window does Claude Opus 5 support?
We do not have a confirmed context window recorded for this entry, so we would rather not guess. Check Anthropic's official model documentation, or your provider's model card, for the exact input and output limits.