Latency
5.78s
Throughput
17tps
Uptime
100.0%
Uptime 100.0 percentTotal Context
1M
Max Output
128K
Pricing
Input Price
$10/M tokens
Output Price
$50/M tokens
Cache Read
$1/M tokens
Cache Write
$12.50/M tokens
- ZDR is not supported for Claude Fable 5. Anthropic's data retention policy for Mythos-class models does not allow zero data retention. Learn more(opens in new tab)
- Azure, Google Vertex, and Amazon Bedrock endpoints are BYOK-only while we work on enabling public access.
Claude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token context window. It is suited for long-running, complex, and asynchronous tasks that previously required frequent human check-ins.
It is particularly strong at end-to-end work that would otherwise take a person hours, days, or weeks - taking on problems that are long-running, ambiguous, or highly multi-step. It executes well-scoped tasks with few mistakes, automatically self-correcting through verification loops, and ships with robust safeguards.
Modalities
In / Out Price
High
$10 / $50per 1M
Context
High
1M
Released
Jun 9, 2026
Providers
Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick — Balanced (price + speed), Nitro (fastest), or Exacto (one fixed provider).
Latency
6.28s
Throughput
30tps
Uptime
99.9%
Uptime 99.9 percentTotal Context
1M
Max Output
128K
Pricing
Input Price
$10/M tokens
Output Price
$50/M tokens
Cache Read
$1/M tokens
Cache Write
$12.50/M tokens
Latency
2.21s
Throughput
18.50tps
Uptime
N/A
Uptime not availableTotal Context
1M
Max Output
128K
Pricing
Input Price
$10/M tokens
Output Price
$50/M tokens
Cache Read
$1/M tokens
Cache Write
$12.50/M tokens
Latency
--s
Throughput
--tps
Uptime
N/A
Uptime not availableTotal Context
1M
Max Output
128K
Pricing
Input Price
$10/M tokens
Output Price
$50/M tokens
Cache Read
$1/M tokens
Cache Write
$12.50/M tokens
Latency
--s
Throughput
--tps
Uptime
N/A
Uptime not availableTotal Context
1M
Max Output
128K
Pricing
Input Price
$10/M tokens
Output Price
$50/M tokens
Cache Read
$1/M tokens
Cache Write
$12.50/M tokens
Performance
Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).
Throughput
30tok/s
best across providers
Latency
2.21s
p50, best provider
Throughput
Anthropic
Avg41 tok/s
Claude Platform on AWS
Avg38 tok/s
Latency
Anthropic
Avg5.44 s
Claude Platform on AWS
Avg5.86 s
E2E Latency
Anthropic
Avg14.04 s
Claude Platform on AWS
Avg14.88 s
Tool Call Error Rate
Google Vertex (BYOK Only)
Avg0.00 %
Amazon Bedrock (BYOK Only)
Avg0.00 %
Claude Platform on AWS
Avg0.09 %
Structured Output Error Rate
Anthropic
Avg15.59 %
Claude Platform on AWS
Avg22.59 %
Pricing
List price is the headline rate per million tokens. Effective price is what you actually pay after prompt caching is applied — for repeated context, this can be 60–80% cheaper. The chart below shows the rolling effective price over the past 30 days.
Weighted Average
Weighted Avg Input Price
$5.07
/M tokens
Weighted Avg Output Price
$50.00
/M tokens
| Provider | Input $/1M | Output $/1M | Cache hit rate | Token share |
|---|---|---|---|---|
 | $4.46 | $50.00 | 67.7% | 80.7% |
 | $7.62 | $50.00 | 39.4% | 19.3% |
 | $10.00 | $50.00 | 0.0% | 0.0% |
Input Price / 1M tokens (7 days)
Output Price / 1M tokens (7 days)
Apps
Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.
2.
Claude Code
Claude Code is Anthropic's agentic coding tool that reads your entire codebase, plans and executes changes across files, runs tests, and iterates on failures, all from natural language prompts.
5.83Btokens
3.
Hermes Agent
Hermes Agent is an open-source, self-improving AI agent by Nous Research that runs persistently with memory across sessions, and builds reusable skills from experience. It comes with 40+ built-in tools, including web search, browser automation, and vision, plus scheduled automations and subagents.
5.67Btokens
4.
Kilo Code
Kilo Code is an open-source AI coding agent that works across VS Code, JetBrains, and CLI to help developers ship code faster with agentic workflows.
1.47Btokens
5.
OpenClaw
OpenClaw is an open-source AI agent that connects to your messaging apps and takes real actions on your behalf, from running commands and browsing the web to managing files and sending emails.
1Btokens
Activity
Token volume and request traffic to this model over time.
Prompt
164B
Completion
5.23B
Reasoning
363M
Prompt tokens measure input size. Reasoning tokens show internal thinking before a response. Completion tokens reflect total output length.
Uptime
Percent of requests that succeeded over the last 30 days. OpenRouter monitors every provider continuously and automatically retries on the next-best provider when one returns an error.
Avg. Provider Uptime (3d)
99.92%
averaged across all endpoints
When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access uptime data programmatically through the Endpoints API. Learn more about our load balancing and customization options.
Quick Start
Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.
1
Get your API key
Create an API key from your OpenRouter dashboard and set it as an environment variable:
Create API Key
export OPENROUTER_API_KEY=sk-or-v1-...2
Make your first request
Use anthropic/claude-fable-5 with the OpenRouter API:
OpenRouter supports reasoning-enabled models that can show their step-by-step thinking process. Use the reasoning parameter in your request to enable reasoning, and access the reasoning_details array in the response to see the model's internal reasoning before the final answer. When continuing a conversation, preserve the complete reasoning_details when passing messages back to the model so it can continue reasoning from where it left off. Learn more about reasoning tokens.
In the examples below, the OpenRouter-specific headers are optional. Setting them allows your app to appear on the OpenRouter leaderboards.
import { OpenRouter } from "@openrouter/sdk";
const openrouter = new OpenRouter({
apiKey: "<OPENROUTER_API_KEY>"
});
// Stream the response to get reasoning tokens in usage
const stream = await openrouter.chat.send({
model: "anthropic/claude-fable-5",
messages: [
{
role: "user",
content: "How many r's are in the word 'strawberry'?"
}
],
stream: true
});
let response = "";
for await (const chunk of stream) {
const content = chunk.choices[0]?.delta?.content;
if (content) {
response += content;
process.stdout.write(content);
}
// Usage information comes in the final chunk
if (chunk.usage) {
console.log("\nReasoning tokens:", chunk.usage.reasoningTokens);
}
}Using third-party SDKs
For information about using third-party SDKs and frameworks with OpenRouter, please see our frameworks documentation.
3
Enable streaming
Add "stream": true to your request body to receive responses as server-sent events:
curl -N https://openrouter.ai/api/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $OPENROUTER_API_KEY" \
-d '{
"model": "anthropic/claude-fable-5",
"stream": true,
"messages": [
{"role": "user", "content": "Hello"}
]
}'Endpoint
Sends a request for a model response for the given chat conversation. Supports both streaming and non-streaming modes.
POST
https://openrouter.ai/api/v1/chat/completionsAuthorization
Bearer $OPENROUTER_API_KEYContent-Type
application/jsonHTTP-Referer
optional — your site URL, for rankingsX-Title
optional — your site name, for rankingsModel
anthropic/claude-fable-5Creates a streaming or non-streaming response using the OpenAI Responses API format.
DocsPOST
https://openrouter.ai/api/v1/responsesAuthorization
Bearer $OPENROUTER_API_KEYContent-Type
application/jsonHTTP-Referer
optional — your site URL, for rankingsX-Title
optional — your site name, for rankingsModel
anthropic/claude-fable-5Creates a message using the Anthropic Messages API format. Supports text, images, PDFs, tools, and extended thinking.
DocsPOST
https://openrouter.ai/api/v1/messagesAuthorization
Bearer $OPENROUTER_API_KEYContent-Type
application/jsonHTTP-Referer
optional — your site URL, for rankingsX-Title
optional — your site name, for rankingsModel
anthropic/claude-fable-5Parameters
| Name | Type | Default | Description |
|---|---|---|---|
max_tokens | integer | — | This sets the upper limit for the number of tokens the model can generate in response. |
stop | array | — | Stop generation immediately if the model encounter any token specified in the stop array. |
reasoning | map | — | Controls reasoning behavior for models that support thinking tokens, including whether reasoning is enabled, the reasoning effort, maximum reasoning tokens, and whether reasoning is excluded from the response. |
tool_choice | string or object | — | Controls which (if any) tool is called by the model. |
tools | array | — | Tool calling parameter, following OpenAI's tool calling request shape. |
response_format | map | — | Forces the model to produce specific output format. |
verbosity | enum | — | Constrains the verbosity of the model's response. |