Primary use stated or inferred cautiously from official documentation.
A
ANTHROPIC / claude-sonnet-5
Claude Sonnet 5
Coding, research, and professional tool-based workflows.
01 / SUMMARY
The essential
Maximum input capacity when published by the source.
Documented maximum generation limit.
Verified availability channels.
Primary functional family and verified specialties.
Declared terms for API access, model weights, or self-hosting.
02 / TECHNICAL SHEET
Limits and integration
| API ID | claude-sonnet-5 |
|---|---|
| Model type | Text and reasoning |
| Access model | Paid proprietary |
| License | Proprietary |
| Deployment | Hosted API |
| Release | 30 JUN 2026 |
| Knowledge cutoff | JAN 2026 |
| Entrance | Text · Image |
| Exit | Text |
| Context window | 1,000,000 tokens |
| maximum output | 128,000 tokens |
| Reasoning | Adaptive thinking · configurable effort |
| Published tools | Use of tools · Web search · Code execution · Computer use |
| Structured Outings | Supported |
| Batch processing | Compatible · 50% discount |
| Prompt cache | Compatible · up to 90% savings on reads |
| Fine-tuning | Not published |
| Verified platforms | Claude.ai · Claude API · Amazon Bedrock · Google Cloud · Microsoft Foundry |
Coding, research, and professional tool-based workflows.
Cost and performance depend on the reasoning level.
03 / CAPABILITIES
What it can do
Orientation
Coding, research, and professional tool-based workflows.
Context
1.000.000 tokens · 128.000 tokens
Tools and integration
Tool use · Web search · Code execution · Computer use
Access
Claude, Claude API and associated clouds
Input modalities
TextImage
04 / PRICES
Documented cost
| Concept | Worth | Unit/condition |
|---|---|---|
| Standard input | 2,00 USD / 1 M tokens | Standard API rate |
| Cached input | 0,20 USD / 1 M tokens | Reading reused prefixes |
| Cache write or storage | 2,50–4,00 USD / 1 M tokens | The condition varies by provider |
| Standard output | 10.00 USD / 1 M tokens | May include reasoning tokens |
| Batch input | 1.00 USD / 1 M tokens | Asynchronous processing |
| Batch output | 5.00 USD / 1 M tokens | Asynchronous processing |
Consult the primary source before budgeting for a deployment.
i Prices change and may depend on level, region or context length. Check the source before making a decision.
05 / EVALUATIONS
How to read the results
“
A public benchmark provides guidance, but does not replace an evaluation with your data, tools, budget, and error tolerance.
| Benchmark | Result | Metric | Source |
|---|---|---|---|
| OSWorld-Verified | Curve by effort | Success and cost | View source ↗ |
| BrowseComp | Curve by effort | Accuracy and cost | View source ↗ |
Inferama only highlights a “best result” when the metric, test set, configuration, and date allow for an equivalent comparison. The supplier's figures are presented as claims from its own source.
06 / VERSIONS
Chronology
Claude Sonnet 5
Version added to Inferama's verified catalog.
ANALYSIS
Related analysis
Claude Sonnet 5: how to measure the impact of its new tokenizer before migrating
Anthropic says the same text may produce more tokens with Sonnet 5 than with Sonnet 4.6. A test using your own corpus can show whether that reduces usable context or changes cost per task in a specific integration.
23 Sep 2026 ↗
BrowseComp: what an agent that finds a difficult fact on the web measures, and why getting it right does not prove it conducts reliable research
BrowseComp evaluates whether an agent can locate a brief, hard-to-find factual answer through persistent web browsing. It is a useful signal, but a limited one: a high score is not enough to establish research quality, source traceability, or reliability on open-ended tasks.
22 Sep 2026 ↗
Claude Sonnet 5 and Cohere Embed 4 in Multimodal RAG: How to Separate a Retrieval Failure from a Response Failure
Claude Sonnet 5 and Cohere Embed 4 occupy different layers in a multimodal RAG system. This guide proposes a factorial experiment, with a frozen corpus and conditions, to measure separately whether the right evidence was retrieved and whether the response used it faithfully.
22 Sep 2026 ↗
Claude Fable 5.1: when caching and batch processing reduce cost per task—and when they only shift the bill
The price per million tokens is not enough to choose between a standard call, instruction caching, or batch processing. This guide provides a cost model per correctly completed task for Claude Fable 5.1, including formulas, scenarios, and minimum telemetry. The outcome depends on reusing context before it expires, controlling retries, and accepting—or not—the asynchronous timeline of Batch API.
22 Sep 2026 ↗
Anthropic: how to verify what changes when you use Claude through an API, partner cloud, or product
Adopting Claude is not simply a matter of selecting a model family. The access channel determines which identifier is used, which retirement schedule governs it, which controls each party administers, and which documentation can support a technical decision. This guide offers a method for separating those layers without turning public policies or safety evaluations into guarantees they do not contain.
22 Sep 2026 ↗07 / SOURCES