Bonus: Top up now and we'll double your first deposit — get x2 credits instantly.
Get Started
Sign Up
Sign Up

Claude Sonnet 5

Up to 30%

Call Claude Sonnet 5 through LLM.API when you want Anthropic-family text generation with unified auth, provider choice, and production-friendly defaults.

Start Using API

What is Claude Sonnet 5?

Claude Sonnet 5 belongs to the Anthropic family and is offered as a hosted chat endpoint. claude-sonnet-5 provided by anthropic, aws-bedrock. It is wired for API access through LLM.API with OpenAI-compatible patterns. Through LLM.API you keep one base URL while selecting this model for assistants, tools, and content workflows.

Providers

LLM.API routes Claude Sonnet 5 to the providers below, with discounted effective rates versus list price.

List price by provider ($ / 1M tokens)

InputOutput
aws-bedrock$2 in
$10 out
anthropic$2 in
$10 out
aws-mantle$2 in
$10 out

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

ProviderPricingContextCapabilities
aws-bedrock30% offin $2000; out — per 1M tokens1M tokensvision, tools, streaming, reasoning, web search, JSON, structured
anthropic30% offin $2000; out — per 1M tokens1M tokensvision, tools, streaming, reasoning, web search, JSON, structured
aws-mantle30% offin $2000; out — per 1M tokens1M tokensvision, tools, streaming, reasoning, web search, JSON, structured

Prices and availability from the LLMAPI catalogue, updated nightly. Last updated 21 Sept 2026.

Try this model

Test Claude Sonnet 5 right here — free to start.

Claude Sonnet 5
Hi! Want to test the model?

Suggestions for your first prompt

Code snippet

Call Claude Sonnet 5 through the OpenAI-compatible API — POST /v1/chat/completions.

python
from openai import OpenAI

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

resp = client.chat.completions.create(
    model="claude-sonnet-5",
    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)
{
  "model": "claude-sonnet-5",
  "messages": [
    {"role": "system", "content": "You are a precise product assistant."},
    {"role": "user", "content": "Give me three crisp launch checklist items."}
  ]
}

5 Core Capabilities

  • Long-context synthesis

    Summarizes and cross-references information across large prompts when context allows. Tuned to how teams typically call Claude Sonnet 5.

  • Conversational UX

    Maintains coherent multi-turn assistant behavior for product chat surfaces. Relevant for `claude-sonnet-5` workloads on LLM.API.

  • Safety-aware replies

    Supports product policies with refusals and cautious handling of sensitive topics. Grounded in the model's chat role rather than generic chat claims.

  • Instruction following

    Follows detailed system and user instructions with strong adherence to format and tone. Grounded in the model's chat role rather than generic chat claims.

  • Code assistance

    Helps write, explain, refactor, and debug application code across common languages. Reflects Anthropic positioning for this endpoint.

6 Most Valuable Use Cases

  • Product analytics narration and anomaly explanations with Claude Sonnet 5
  • Research synthesis across long documents and tickets
  • Coding agents for refactors, tests, and PR explanations with Claude Sonnet 5
  • Internal knowledge assistants grounded with your retrieval layer
  • Customer support copilots that draft accurate, on-brand replies with Claude Sonnet 5
  • Meeting-note cleanup and action-item generation

Why Build on LLM.API?

One unified API. Every major model. Built-in reliability, cost control, and observability.

  • Intelligent AI Routing

    Automatically route each request to the best model across providers based on latency, cost, and quality—without changing your integration or redeploying code.

    One endpoint, every model.

  • Cost-Aware Execution

    Control spend with per-request cost estimation, smart model selection, and centralized quotas so teams can experiment fast without runaway bills or manual tracking.

    More performance, less spend.

  • Resilient Fallback Flows

    Define automatic, provider-agnostic fallbacks to keep your app up during outages, rate limits, or timeouts—no brittle failover logic scattered through your codebase.

    Never go dark on users.

  • Deep LLM Observability

    Trace every call across providers with logs, metrics, and request replay so you can debug, tune prompts, and optimize model choices from one unified dashboard.

    See every token, everywhere.

  • Task-Level Orchestration

    Describe tasks, not models. LLM.API maps them to the right tools, models, and prompts so you ship complex AI workflows with minimal glue code.

    Think tasks, not models.

  • High-Throughput Batch APIs

    Process millions of inferences efficiently with optimized batch pipelines, concurrency controls, and retry logic—all behind the same simple interface you use for single calls.

    Scale from 1 to millions.

Why run Claude Sonnet 5 on LLM.API?

  • Unified AI Routing

    Practical: Reach Claude Sonnet 5 and sibling models through one OpenAI-compatible endpoint.

  • Cost Control

    Compare provider price points and keep spend visible as you scale Claude Sonnet 5.

  • Reliability Layer

    Practical: Retry and route across configured providers when a single upstream blips.

  • Observability

    Trace prompts, tokens, and errors for Claude Sonnet 5 alongside the rest of your stack.

  • Drop-in SDKs

    Keep using familiar OpenAI client patterns with base URL https://api.llmapi.ai/v1.

  • Model Breadth

    Swap Claude Sonnet 5 for chat, media, or embedding alternatives without rewriting auth.

When to Use — When NOT to Use

Use it if...

  • You need provider failover options exposed for this model id (Claude Sonnet 5)
  • You want OpenAI-compatible chat completions through a single LLM.API key (Claude Sonnet 5)
  • Your prompts benefit from the model's family strengths (reasoning, speed, or cost) (Claude Sonnet 5)
  • You need a general-purpose text model for assistants, agents, or content workflows (Claude Sonnet 5)

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

BENCHMARKS

Claude Sonnet 5 benchmark scores

Intelligence index

This model38.
Tracked median24.

Scale: 0-100 index points

Output speed

This model74 t/s

Scale: 0-400 tokens per second

Reference price per 1M tokens

Input$2.00
Output$10.00

Bars compare input and output list prices for this model.

Artificial Analysis Intelligence Index38
Median index across all tracked models24
Output speed74 tokens/s
Reference input price$2.00 / 1M tokens
Reference output price$10.00 / 1M tokens

Independent scores published by Artificial Analysis (source). Reference prices are provider list prices, not LLM.API pricing.

RELIABILITY

Claude Sonnet 5 uptime, last 30 days

30-Day Uptime
97.55%
Past Incidents (30d)
13
Error rate (24h)
8.20%

Last 30 days

19/30 days operational | 97.55% uptime

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

COMMUNITY

What developers say about Claude models

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 5.

  • 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 5?

    Your prompts benefit from the model's family strengths (reasoning, speed, or cost) — especially when you specifically need Claude Sonnet 5.

  • Can I use tools or structured outputs with Claude Sonnet 5?

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

  • Does Claude Sonnet 5 support streaming?

    Yes—at least one listed provider advertises streaming.

  • How is Claude Sonnet 5 priced on LLM.API?

    Listed pricing metadata shows: In $2.00 / 1M tokens · Out $10.00 / 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.

  • What is Claude Sonnet 5?

    claude-sonnet-5 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-5`.

  • Which providers serve Claude Sonnet 5?

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

  • Where is the canonical page for Claude Sonnet 5?

    https://llmapi.ai/models/anthropic-claude-sonnet-5/

  • What is the context length for Claude Sonnet 5?

    Reported context for Claude Sonnet 5 is 1M tokens. Always verify the active provider row if multiple providers are listed.

  • How do I call Claude Sonnet 5 via API?

    Send OpenAI-compatible requests to https://api.llmapi.ai/v1 with model "claude-sonnet-5" and your LLM.API key. See the code snippet on this page.

  • What are limitations of Claude Sonnet 5?

    Like other API models, Claude Sonnet 5 can be wrong, incomplete, or uneven on edge cases. Validate outputs for high-stakes use. Media/OCR/STT models additionally depend on input quality.

COMPARE

Competitive Models

Get one key to every model

Swap your API key. Keep your code.

Start for free Talk to sales