How is Claude Opus 5 priced on LLM.API?

Listed pricing metadata shows: In $5.00 / 1M tokens · Out $25.00 / 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 are limitations of Claude Opus 5?

Like other API models, Claude Opus 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.

Where is the canonical page for Claude Opus 5?

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

Does Claude Opus 5 support streaming?

Yes—at least one listed provider advertises streaming.

Which providers serve Claude Opus 5?

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

Is Claude Opus 5 a chat model?

Yes—Claude Opus 5 is exposed as a chat/completions-style endpoint on LLM.API.

When should I choose Claude Opus 5?

You need provider failover options exposed for this model id — especially when you specifically need Claude Opus 5.

What is the context length for Claude Opus 5?

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

Can I use tools or structured outputs with Claude Opus 5?

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

Which endpoint do I call for Claude Opus 5?

POST https://api.llmapi.ai/v1/chat/completions with model "claude-opus-5" and your LLM.API key. The request and response bodies are OpenAI-compatible.

How do I switch from OpenAI to Claude Opus 5 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 Opus 5 support function calling and structured outputs?

Function calling: supported via tools. Structured outputs: supported via response_format. Reasoning effort accepts low, medium, high, xhigh, max (default low).

Claude Opus 5 API: Endpoint & Pricing

Claude Opus 5 brings Anthropic conversational intelligence to LLM.API so teams can ship assistants and agents without juggling multiple vendor SDKs.

Compare Claude Opus 5 alternatives (30) →

Start Using API

What is Claude Opus 5?

Claude Opus 5 is an Anthropic chat model exposed on LLM.API under id `claude-opus-5`. Strongest Claude Opus model for coding, agents, and professional work. Teams use it when they need reliable text generation with text, image inputs and text outputs over an OpenAI-compatible API.

Can you self-host Claude Opus 5?

No. We found no public weights for Claude Opus 5 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, with custom volume discounts on request.

Get API key See API code ↓

Providers

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

List price by provider

InputOutput

anthropic$5 in

$25 out

aws-bedrock$5 in

$25 out

aws-mantle$5 in

$25 out

computebase$5 in

$25 out

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

Provider	Pricing	Context	Capabilities
anthropic	in $5; out $25 per 1M tokens	1M tokens	vision, tools, streaming, reasoning, web search, JSON, structured
aws-bedrock	in $5; out $25 per 1M tokens	1M tokens	vision, tools, streaming, reasoning, web search, JSON
aws-mantle	in $5; out $25 per 1M tokens	1M tokens	vision, tools, streaming, reasoning, web search, JSON
computebase	in $5; out $25 per 1M tokens	1M tokens	vision, tools, streaming, reasoning, web search, JSON, structured

Prices and availability from the LLMAPI catalogue, updated nightly. Last updated 11 Oct 2026.

Try this model

Test Claude Opus 5 right here — free to start.

Claude Opus 5

Hi! Want to test the model?

Suggestions for your first prompt

Code snippet

Call Claude Opus 5 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-opus-5 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-opus-5",
    "messages": [
      {"role": "user", "content": "Give me three crisp launch checklist items."}
    ],
  "reasoning_effort": "low"
  }'

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-opus-5",
    messages=[
        {"role": "system", "content": "You are a precise product assistant."},
        {"role": "user", "content": "Give me three crisp launch checklist items."},
    ],
    reasoning_effort="low",
)
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-opus-5",
  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-opus-5",
    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-opus-5",
  "messages": [
    {"role": "system", "content": "You are a precise product assistant."},
    {"role": "user", "content": "Give me three crisp launch checklist items."}
  ],
  "reasoning_effort": "low"
}

ENDPOINTS

Supported endpoints & features

Base URL https://api.llmapi.ai/v1 · model ID claude-opus-5 · 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)	Supported	`image_url content parts`
Web search	Supported	`web_search`
Reasoning effort	low · medium · high · xhigh · max	`reasoning_effort: "low"`

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 Opus 5 in production

Best workloadsLLM.API features

What the model is good at.

Long-context synthesis
Summarizes and cross-references information across large prompts when context allows. Relevant for `claude-opus-5` workloads on LLM.API.
Structured outputs
Can produce JSON-friendly or schema-oriented responses when prompted carefully. Reflects Anthropic positioning for this endpoint.
Instruction following
Follows detailed system and user instructions with strong adherence to format and tone. Tuned to how teams typically call Claude Opus 5.
Code assistance
Helps write, explain, refactor, and debug application code across common languages. Tuned to how teams typically call Claude Opus 5.
Tool-ready dialogue
Works well in agent loops that call functions, browsers, or retrieval APIs. Reflects Anthropic positioning for this endpoint.

What you get when you call Claude Opus 5 through LLM.API.

Unified AI Routing
Reach Claude Opus 5 and sibling models through one OpenAI-compatible endpoint.
One endpoint, every model.
Cost Control
Production: Compare provider price points and keep spend visible as you scale Claude Opus 5.
More performance, less spend.
Reliability Layer
Retry and route across configured providers when a single upstream blips.
Never go dark on users.
Observability
Trace prompts, tokens, and errors for Claude Opus 5 alongside the rest of your stack.
See every token, everywhere.
Drop-in SDKs
Keep using familiar OpenAI client patterns with base URL https://api.llmapi.ai/v1.
Think tasks, not models.
Model Breadth
Swap Claude Opus 5 for chat, media, or embedding alternatives without rewriting auth.
Scale from 1 to millions.

When to Use — When NOT to Use

Use it if...

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

Avoid if...

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

LLM API rating for Claude Opus 5

★ 4.5/ 5.0LLM API rating
50% production adoption · 30% category benchmark · 20% tooling & value✓ Verified benchmark · LMArena + Artificial Analysis

5.0Production adoptionTop 1% of production API volume

4.7Benchmark qualityArtificial Analysis Intelligence Index 50.8 · LMArena text rank #3, Elo 1506

3.1Developer ecosystemContext window, tool and JSON support, price against the category median

Reasoning & chat 4.5Coding 4.5Vision & multimodal 4.4Tool & function calling 4.6Long context 4.6

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.

BENCHMARKS

Claude Opus 5 benchmark scores

Intelligence index

This model51.

Tracked median24.

Scale: 0-100 index points

Output speed

This model52 t/s

Scale: 0-400 tokens per second

Reference price per 1M tokens

Input$5.00

Output$25.00

Bars compare input and output list prices for this model.

Intelligence index+113% vs median

Claude Opus 5 API: Endpoint & 30% Discount51

Median tracked model24

Higher is better. The median covers every model tracked by Artificial Analysis.

Output speed

52tok/s

Measured throughput; the full dial is 300 tokens per second.

Reference price / 1M tokens

Input$5.00

Output$25.00

Provider list prices, before the LLM.API discount.

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

RELIABILITY

Claude Opus 5 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 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

LMArena#3 · Elo 1506Arena coding#5 · Elo 1533Speed52 tokens/sSources: 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 Opus 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

How is Claude Opus 5 priced on LLM.API?
Listed pricing metadata shows: In $5.00 / 1M tokens · Out $25.00 / 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 Opus 5?
Strongest Claude Opus model for coding, agents, and professional work. On LLM.API it is addressed as `claude-opus-5`.
What are limitations of Claude Opus 5?
Like other API models, Claude Opus 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.
Where is the canonical page for Claude Opus 5?
https://llmapi.ai/models/anthropic-claude-opus-5/
Does Claude Opus 5 support streaming?
Yes—at least one listed provider advertises streaming.
Which providers serve Claude Opus 5?
LLM.API currently lists: anthropic, aws-bedrock, aws-mantle. Availability can vary by region and account.
Is Claude Opus 5 a chat model?
Yes—Claude Opus 5 is exposed as a chat/completions-style endpoint on LLM.API.
When should I choose Claude Opus 5?
You need provider failover options exposed for this model id — especially when you specifically need Claude Opus 5.
What is the context length for Claude Opus 5?
Reported context for Claude Opus 5 is 1M tokens. Always verify the active provider row if multiple providers are listed.
Can I use tools or structured outputs with Claude Opus 5?
Tool and/or structured-output flags appear on one or more providers for this model—confirm in the providers table.

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Claude Opus 5 API: Endpoint & Pricing

What is Claude Opus 5?

Can you self-host Claude Opus 5?

Providers

Try this model

Code snippet

Supported endpoints & features

Errors & fallback routing

Claude Opus 5 in production

Long-context synthesis

Structured outputs

Instruction following

Code assistance

Tool-ready dialogue

Unified AI Routing

Cost Control

Reliability Layer

Observability

Drop-in SDKs

Model Breadth

When to Use — When NOT to Use

Use it if...

Avoid if...

LLM API rating for Claude Opus 5

Claude Opus 5 benchmark scores

Intelligence index

Output speed

Reference price per 1M tokens

Claude Opus 5 uptime, last 30 days

Last 30 days

What developers say about Claude models

Frequently Asked Questions

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