When should I choose Claude Sonnet 4 (2025-05-14)?

You need a general-purpose text model for assistants, agents, or content workflows — especially when you specifically need Claude Sonnet 4 (2025-05-14).

What modalities does Claude Sonnet 4 (2025-05-14) support?

Claude Sonnet 4 (2025-05-14) accepts text and produces text according to its architecture metadata on LLM.API.

Which providers serve Claude Sonnet 4 (2025-05-14)?

LLM.API currently lists: aws-bedrock. Availability can vary by region and account.

Where is the canonical page for Claude Sonnet 4 (2025-05-14)?

https://llmapi.ai/models/anthropic-claude-sonnet-4-20250514/

How do I call Claude Sonnet 4 (2025-05-14) via API?

Send OpenAI-compatible requests to https://api.llmapi.ai/v1 with model "claude-sonnet-4-20250514" and your LLM.API key. See the code snippet on this page.

How is Claude Sonnet 4 (2025-05-14) priced on LLM.API?

Listed pricing metadata shows: In $3.00 / 1M tokens · Out $15.00 / 1M tokens. LLM.API may offer discounted effective rates (illustrative ~30% callout vs list when available).. Confirm live rates in the LLM.API dashboard or docs before production budgeting.

Can I use tools or structured outputs with Claude Sonnet 4 (2025-05-14)?

Tool and/or structured-output flags appear on one or more providers for this model—confirm in the providers table.

What are limitations of Claude Sonnet 4 (2025-05-14)?

Like other API models, Claude Sonnet 4 (2025-05-14) can be wrong, incomplete, or uneven on edge cases. Validate outputs for high-stakes use. Media/OCR/STT models additionally depend on input quality.

What is the context length for Claude Sonnet 4 (2025-05-14)?

Reported context for Claude Sonnet 4 (2025-05-14) is 200K tokens. Always verify the active provider row if multiple providers are listed.

Which endpoint do I call for Claude Sonnet 4 (2025-05-14)?

POST https://api.llmapi.ai/v1/chat/completions with model "claude-sonnet-4-20250514" and your LLM.API key. The request and response bodies are OpenAI-compatible.

How do I switch from OpenAI to Claude Sonnet 4 (2025-05-14) on LLM.API?

Change two lines: set base_url to https://api.llmapi.ai/v1 and api_key to your LLM.API key. The rest of your OpenAI SDK code stays the same.

Does Claude Sonnet 4 (2025-05-14) support function calling and structured outputs?

Function calling: supported via tools. Structured outputs: supported via response_format.

Claude Sonnet 4 (2025-05-14) API: Endpoint & Pricing

Claude Sonnet 4 (2025-05-14) brings Anthropic conversational intelligence to LLM.API so teams can ship assistants and agents without juggling multiple vendor SDKs.

Compare Claude Sonnet 4 (2025-05-14) alternatives (33) →

Start Using API

What is Claude Sonnet 4 (2025-05-14)?

On LLM.API, Claude Sonnet 4 (2025-05-14) (claude-sonnet-4-20250514) serves as a Anthropic conversational model for products that need 200K tokens context windows and predictable token pricing. claude-sonnet-4-20250514 provided by anthropic, aws-bedrock. It is wired for API access through LLM.API with OpenAI-compatible patterns.

Can you self-host Claude Sonnet 4 (2025-05-14)?

No. We found no public weights for Claude Sonnet 4 (2025-05-14) on Hugging Face, so there is nothing to download, quantize or serve on your own GPUs: no VRAM budget, no vLLM or GGUF build to plan for. The only way to run it is over an API.

Skip the deploy — use LLM.API as your endpoint

No GPUs, no quantization trade-offs. Same model, OpenAI-compatible, up to 30% below list price.

Get API key See API code ↓

Providers

LLM.API routes Claude Sonnet 4 (2025-05-14) to the providers below, with discounted effective rates versus list price.

List price by provider

InputOutput

aws-bedrock$3 in

$15 out

Provider list prices; the LLM.API discount applies on top.

Provider	Pricing	Context	Capabilities
aws-bedrock	in $3; out $15 per 1M tokens	200K tokens	tools, streaming, reasoning, JSON, structured

Prices and availability from the LLMAPI catalogue, updated nightly. Last updated 8 Oct 2026.

Try this model

Test Claude Sonnet 4 (2025-05-14) right here — free to start.

Claude Sonnet 4 (2025-05-14)

Hi! Want to test the model?

Suggestions for your first prompt

Code snippet

Call Claude Sonnet 4 (2025-05-14) through the OpenAI-compatible API — POST /v1/chat/completions.

Switching from OpenAI? Change 2 lines.

- base_url="https://api.openai.com/v1"
- api_key="YOUR_OPENAI_KEY"
+ base_url="https://api.llmapi.ai/v1"
+ api_key="YOUR_LLMAPI_KEY"

Everything else stays the same — SDK, message format, tools, streaming. Set model to claude-sonnet-4-20250514 and the call runs unchanged.

bash

curl https://api.llmapi.ai/v1/chat/completions \
  -H "Authorization: Bearer $LLMAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "claude-sonnet-4-20250514",
    "messages": [
      {"role": "user", "content": "Give me three crisp launch checklist items."}
    ]
  }'

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_LLMAPI_KEY",
    base_url="https://api.llmapi.ai/v1",
)

resp = client.chat.completions.create(
    model="claude-sonnet-4-20250514",
    messages=[
        {"role": "system", "content": "You are a precise product assistant."},
        {"role": "user", "content": "Give me three crisp launch checklist items."},
    ],
)
print(resp.choices[0].message.content)

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.LLMAPI_KEY,
  baseURL: "https://api.llmapi.ai/v1",
});

const resp = await client.chat.completions.create({
  model: "claude-sonnet-4-20250514",
  messages: [
    { role: "user", content: "Give me three crisp launch checklist items." },
  ],
});

console.log(resp.choices[0].message.content);

stream = client.chat.completions.create(
    model="claude-sonnet-4-20250514",
    messages=[{"role": "user", "content": "Write a haiku about latency."}],
    stream=True,
)

for chunk in stream:
    delta = chunk.choices[0].delta.content
    if delta:
        print(delta, end="", flush=True)

{
  "model": "claude-sonnet-4-20250514",
  "messages": [
    {"role": "system", "content": "You are a precise product assistant."},
    {"role": "user", "content": "Give me three crisp launch checklist items."}
  ]
}

ENDPOINTS

Supported endpoints & features

Base URL https://api.llmapi.ai/v1 · model ID claude-sonnet-4-20250514 · OpenAI-compatible.

POST /v1/chat/completionsChat Completions — supported

Feature	Status	How to set it
Function calling (tools)	Supported	`tools, tool_choice`
Parallel tool calls	Not supported	`parallel_tool_calls`
JSON mode	Supported	`response_format: {"type": "json_object"}`
Structured outputs	Supported	`response_format: {"type": "json_schema", …}`
Streaming	Supported	`stream: true`
Vision (image input)	Not supported	`image_url content parts`
Web search	Not supported	`web_search`

ERRORS

Errors & fallback routing

Code	What it means	What to do
`401`	Missing or invalid API key.	Send `Authorization: Bearer YOUR_LLMAPI_KEY` and check the key is active.
`429`	Rate limited, or the upstream provider is throttling the request.	Back off and retry with jitter; the gateway also retries the request on another provider where one is available.
`5xx`	Upstream provider error or timeout.	Retry; fallback routing sends the retry to the next healthy provider for this model.

When a provider fails or throttles, the request is routed to the next provider serving this model — the ones listed in the providers table above.

Claude Sonnet 4 (2025-05-14) in production

Best workloadsLLM.API features

What the model is good at.

Multilingual drafting
Drafts and translates professional content across major business languages. Relevant for `claude-sonnet-4-20250514` workloads on LLM.API.
Structured outputs
Can produce JSON-friendly or schema-oriented responses when prompted carefully. Tuned to how teams typically call Claude Sonnet 4 (2025-05-14).
Tool-ready dialogue
Works well in agent loops that call functions, browsers, or retrieval APIs. Grounded in the model's chat role rather than generic chat claims.
Conversational UX
Maintains coherent multi-turn assistant behavior for product chat surfaces. Grounded in the model's chat role rather than generic chat claims.
Safety-aware replies
Supports product policies with refusals and cautious handling of sensitive topics. Tuned to how teams typically call Claude Sonnet 4 (2025-05-14).

What you get when you call Claude Sonnet 4 (2025-05-14) through LLM.API.

Unified AI Routing
Practical: Reach Claude Sonnet 4 (2025-05-14) and sibling models through one OpenAI-compatible endpoint.
One endpoint, every model.
Cost Control
Compare provider price points and keep spend visible as you scale Claude Sonnet 4 (2025-05-14).
More performance, less spend.
Reliability Layer
Production: Retry and route across configured providers when a single upstream blips.
Never go dark on users.
Observability
Production: Trace prompts, tokens, and errors for Claude Sonnet 4 (2025-05-14) alongside the rest of your stack.
See every token, everywhere.
Drop-in SDKs
Production: Keep using familiar OpenAI client patterns with base URL https://api.llmapi.ai/v1.
Think tasks, not models.
Model Breadth
Practical: Swap Claude Sonnet 4 (2025-05-14) for chat, media, or embedding alternatives without rewriting auth.
Scale from 1 to millions.

When to Use — When NOT to Use

Use it if...

You need a general-purpose text model for assistants, agents, or content workflows (Claude Sonnet 4 (2025-05-14))
You need provider failover options exposed for this model id (Claude Sonnet 4 (2025-05-14))
You want OpenAI-compatible chat completions through a single LLM.API key (Claude Sonnet 4 (2025-05-14))
Your prompts benefit from the model's family strengths (reasoning, speed, or cost) (Claude Sonnet 4 (2025-05-14))

Avoid if...

You require on-prem only deployment with no cloud inference
Your use case depends on unpublished proprietary benchmarks not listed here
You need pure embedding, OCR, or media generation instead of chat
You need guaranteed real-time hard latency SLAs without benchmarking the provider

RELIABILITY

Claude Sonnet 4 (2025-05-14) uptime, last 30 days

30-Day Uptime

97.55%

Past Incidents (30d)

Error rate (24h)

8.20%

Last 30 days

19/30 days operational | 97.55% uptime

Availability tracked for the Anthropic Claude API. Full history on the LLM Uptime Status page or the status hub. LLM.API routes around provider outages automatically.

LLM API rating for Claude Sonnet 4 (2025-05-14)

★ 3.9/ 5.0LLM API rating
50% production adoption · 30% category benchmark · 20% tooling & value✓ Verified benchmark · LMArena

5.0Production adoptionTop 1% of production API volume

2.8Benchmark qualityLMArena text rank #208, Elo 1339

3.0Developer ecosystemContext window, tool and JSON support, price against the category median

Reasoning & chat 3.9Coding 4.0Tool & function calling 4.5Long context 4.2

How is this rating calculated?

Every model gets a separate 1.0–5.0 score for each category it can be used in, so a model can rate high for coding and lower for vision. The score combines three parts:

Production adoption — 50%. How widely the model is actually used in production: provider traffic, LiteLLM and gateway usage, open-weight downloads and its LMArena rank. Proven, widely used models score highest.
Category benchmark — 30%. The public benchmark that matters for that category — the Artificial Analysis Intelligence Index and LMArena Elo for reasoning, LMArena coding Elo for coding, image and document support plus vision Elo for vision, tool and JSON support for function calling, measured speed for voice.
Tooling & value — 20%. Context window, support for tools, structured outputs and streaming, and price compared with the category median.

Scores of 4.0 and above are shown in green, 3.0–3.9 in yellow, below 3.0 in red. When a model has no public data for a part, it gets a neutral value instead of an invented number.

A “Verified benchmark” mark (✓) means an independent lab — LMArena or Artificial Analysis — has actually tested that model, and the source figure is shown. Models without that mark are labelled “Estimated from published specs”: the score comes from the published context window, tool and schema support, price and adoption only, because no independent lab has tested them yet.

One exception: a brand-new top-tier model that scores very high on the independent benchmarks but has no usage history yet is rated on the benchmark (60%) and tooling & value (40%) alone, so a missing adoption figure can't hold it back. All inputs come from public sources and are refreshed weekly.

Adoption and benchmark inputs come from public sources — LMArena, Artificial Analysis Intelligence Index and published model specs. Updated weekly.

COMMUNITY

What developers say about Claude models

LMArena#208 · Elo 1339Arena coding#186 · Elo 1380Speed—Sources: LMArena, Artificial Analysis

Summarised from publicly published developer and community reviews of this model family. Opinions are the sources’, not LLM.API’s, and may not be specific to Claude Sonnet 4 (2025-05-14).

Reviewers consistently rank the Opus tier at or near the frontier for coding and agentic work, and several note the price/performance gap to rivals has narrowed.
A recurring complaint in community round-ups is verbosity — strong reasoning, but long answers and heavy token use unless you constrain output.
Teams report the Sonnet/Haiku tiers as the practical default for volume, keeping Opus for planning and hard debugging.

SOURCES

Frequently Asked Questions

When should I choose Claude Sonnet 4 (2025-05-14)?
You need a general-purpose text model for assistants, agents, or content workflows — especially when you specifically need Claude Sonnet 4 (2025-05-14).
What modalities does Claude Sonnet 4 (2025-05-14) support?
Claude Sonnet 4 (2025-05-14) accepts text and produces text according to its architecture metadata on LLM.API.
Which providers serve Claude Sonnet 4 (2025-05-14)?
LLM.API currently lists: aws-bedrock. Availability can vary by region and account.
What is Claude Sonnet 4 (2025-05-14)?
claude-sonnet-4-20250514 provided by anthropic, aws-bedrock. It is wired for API access through LLM.API with OpenAI-compatible patterns. On LLM.API it is addressed as `claude-sonnet-4-20250514`.
Where is the canonical page for Claude Sonnet 4 (2025-05-14)?
https://llmapi.ai/models/anthropic-claude-sonnet-4-20250514/
How do I call Claude Sonnet 4 (2025-05-14) via API?
Send OpenAI-compatible requests to https://api.llmapi.ai/v1 with model "claude-sonnet-4-20250514" and your LLM.API key. See the code snippet on this page.
How is Claude Sonnet 4 (2025-05-14) priced on LLM.API?
Listed pricing metadata shows: In $3.00 / 1M tokens · Out $15.00 / 1M tokens. LLM.API may offer discounted effective rates (illustrative ~30% callout vs list when available).. Confirm live rates in the LLM.API dashboard or docs before production budgeting.
Can I use tools or structured outputs with Claude Sonnet 4 (2025-05-14)?
Tool and/or structured-output flags appear on one or more providers for this model—confirm in the providers table.
What are limitations of Claude Sonnet 4 (2025-05-14)?
Like other API models, Claude Sonnet 4 (2025-05-14) can be wrong, incomplete, or uneven on edge cases. Validate outputs for high-stakes use. Media/OCR/STT models additionally depend on input quality.
What is the context length for Claude Sonnet 4 (2025-05-14)?
Reported context for Claude Sonnet 4 (2025-05-14) is 200K tokens. Always verify the active provider row if multiple providers are listed.

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Claude Sonnet 4 (2025-05-14) API: Endpoint & Pricing

What is Claude Sonnet 4 (2025-05-14)?

Can you self-host Claude Sonnet 4 (2025-05-14)?

Providers

Try this model

Code snippet

Supported endpoints & features

Errors & fallback routing

Claude Sonnet 4 (2025-05-14) in production

Multilingual drafting

Structured outputs

Tool-ready dialogue

Conversational UX

Safety-aware replies

Unified AI Routing

Cost Control

Reliability Layer

Observability

Drop-in SDKs

Model Breadth