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Claude Opus 5

anthropic/claude-opus-5

Opus 5 — the current frontier Claude

Claude Opus 5 was Anthropic's top tier until Opus 5.5, at 11 credits per 1K input over a 1M context. It is the one to reach for when the task is genuinely hard — not long, hard — and when you would rather pay once for a correct answer than three times for near misses.

Modalities
-20%
Input / Output
8.8 / 44cr / 1K11 / 55Offer ends January 1, 2028
Context window
1M
Max output
128K
Capabilities
  • Tools
  • Vision
  • PDF
  • Streaming
  • Prompt caching· read 1.1 cr / 1K

What this model does well

  • 📚

    1M token context

    Hold a whole repository or a quarter of filings in one call

  • 🧠

    Adaptive thinking

    Reasons longer on hard problems and stays quick on easy ones, automatically

  • 🤖

    Long-horizon agents

    Plans, calls tools and recovers from its own errors across many steps

  • 💻

    Elite coding

    Refactors, debugs and reviews at senior-engineer quality

  • 👁️

    Vision + documents

    Reads images and PDFs in the same request as your text

  • 📤

    128K output

    Long enough for a full migration diff or a detailed report in one go

Example prompts

  • Here is our whole API surface. Find every endpoint that can be reached without authentication and explain the blast radius of each.

  • Plan a migration from a single Postgres instance to read replicas, step by step, with the rollback path for each step.

Good to know

  • Sampling parameters are ignored. Anthropic removed temperature and top_p on this model, so Tchavi drops them rather than letting the request fail.
  • Thinking cannot be switched off above the 'high' effort level — this model always reasons before answering.
  • JSON output takes response_format json_schema with your schema. Plain JSON mode (json_object) is refused with a 400 unsupported_parameter.

Technical specifications

Provider
anthropic
API identifier
claude-opus-5
Category
Chat & Text
Context window
1,000,000 tokens
Max output
128,000 tokens
Rate limit
150 RPM
Billing unit
token
Streaming
Yes

Ideal for

  • Problems that defeated a smaller model
  • Whole-system architecture decisions
  • Long-running autonomous agents
  • High-stakes drafting and review
  • Synthesising a large research corpus

Ready to try it?

Test this model in the playground, no setup needed.

Frequently asked questions

Can I pay with mobile money, without a bank card?

Yes. Top up your Tchavi account with Orange Money, MTN MoMo, M-Pesa or another mobile money operator. No bank card is needed. Credits land as soon as the payment is confirmed and are deducted as you use them.

Is the API compatible with OpenAI's?

Yes. Keep your current OpenAI SDK, just change the base URL to Tchavi's (shown in the API tab) and use your Tchavi key. The rest of your code stays the same.

API

import Tchavi from '@tchavi/sdk';

const client = new Tchavi({ apiKey: 'API_KEY' });

const response = await client.chat.completions.create({
  model: 'claude-opus-5',
  messages: [
  {
    "role": "user",
    "content": "Hello!"
  }
],
});

console.log(response.choices[0].message.content);
console.log('Credits used:', response.tchavi.credits_used);

API parameters

Every parameter this model accepts on the API. Check the SDK for full typings.

modelRequired
string

ID of the chat model (e.g. `claude-opus-5`).

messagesRequired
Array<{ role, content }>

Conversation messages. Each item has a `role` (system/user/assistant) and a `content` that's either a plain string or an array of content blocks (`text`, `image_url`, `document_url`).

temperature
number
Default: 1

Sampling temperature between 0 and 2. Higher values = more random.

max_tokens
integer

Maximum number of tokens to generate in the response.

stream
boolean
Default: false

If true, partial message deltas are streamed as Server-Sent Events.

tools
Array<{ type, function }>

Function-calling toolbox. Pass an array of `{ type: "function", function: { name, description, parameters } }`. Returned tool calls land in `choices[].message.tool_calls`. Only models with `supportsTools: true` accept this.

tool_choice
"auto" | "none" | { type, function }

How the model picks among tools: `"auto"` (default), `"none"` to force a plain text reply, or `{ type: "function", function: { name } }` to force a specific tool. Only with `supportsTools: true`.

Show all parameters (14)
top_p
number
Default: 1

Nucleus sampling: only tokens in the top `top_p` probability mass are considered.

stop
string | string[]

Up to 4 sequences where the API will stop generating further tokens.

frequency_penalty
number
Default: 0

Between -2.0 and 2.0. Positive values penalize tokens that have appeared frequently.

presence_penalty
number
Default: 0

Between -2.0 and 2.0. Positive values encourage the model to talk about new topics.

messages[].content[].image_url
string

Attach an image on a user message. Pass a content block `{ "type": "image_url", "image_url": { "url": ... } }`. PNG / JPEG / WebP, up to 4 per request. Only models with `supportsImageInput: true` accept this block (e.g. `gpt-4o`, `claude-opus-4-7`).

messages[].content[].document_url
string

Attach a PDF on a user message. Pass a content block `{ "type": "document_url", "document_url": { "url": ... } }`. Up to 5 PDFs per request. Only models with `supportsDocuments: true` accept this block (e.g. `claude-sonnet-4-6`, `gpt-4.1`).

effort
"low" | "medium" | "high"
Default: "high"

Reasoning depth on Anthropic adaptive-thinking models (Opus 4.7+ / Sonnet 4.6+). Values `"low"`, `"medium"`, `"high"`. Higher = more deliberate, slower. Defaults to `"high"` on Opus 4.8.

Pricing

-20%Limited offer: the discount applies to every price for this model until January 1, 2028.
per 1,000 tokens
8.8 credits
Input 11 · Output 55 cr/1K

How billing works

  • Billed per token used, down to a thousandth of a credit.
  • A typical message (500 in, 150 out) costs about —, or 11 credits.
  • Prompt cache reads: — per 1K tokens (0.88 credits).
Real-world scenarios
Per day
Per week
Per month

Estimated over 30 days, for a typical message: ~500 input + ~150 output tokens, billed to the thousandth of a credit.

A 10 000 F CFA top-up gives you about ~2 727 questions. Pay with Orange Money, MTN MoMo or M-Pesa — no Visa card needed.

Ready to use Claude Opus 5?

Create your accountAPI Documentation

Bonus credits on your first top-up · No card to sign up