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Anthropic: Claude Fable 5 (batch): AI model

Context window:
1,000,000 tokens
Input:
$5/1M tokens
Output:
$25/1M tokens
Type:
text, image
  • Vision
  • Tools
  • Streaming
  • Long context

Thinking levels: Always thinks · max · xhigh · high · medium · low

Anthropic: Claude Fable 5 (batch) is a AI model from Anthropic, available through Hormouz via an OpenAI-compatible API with stable access from inside Iran.

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...

Quickstart

curl https://api.hormouz.net/v1/chat/completions \
  -H "Authorization: Bearer ng-YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "anthropic/claude-fable-5:batch",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Specs

VendorAnthropic
TypeText, Image
Context window1,000,000 tokens
Pricing$5.00/M in · $25.00/M out
APIChat Completions
CapabilitiesStreaming · Vision · Tools

Benchmarks

49.6
Intelligence Index
Better than 93% of models we compared
76.5
Coding Index
Better than 94% of models we compared
50.7
Agentic Index
Better than 92% of models we compared

Reasoning

GPQA Diamond
Graduate-level scientific reasoning
92.6%
HLE
Humanity's Last Exam
55.5%
IFBench
Instruction-following
63.5%
AA-LCR
Long-context reasoning
82.3%
CritPt
Research-level physics reasoning
28.6%
AA Omniscience
Broad factual knowledge accuracy
65.3%
Non-Hallucination
Rate of avoiding fabricated answers
36.4%

Coding

SciCode
Python for scientific computing
61%
Terminal-Bench Hard
Agentic coding & terminal use
62.9%

Agentic

τ²-Bench
Tool-use agents in dual-control scenarios
98.5%
GDPval
Economically valuable tasks
55.6%

Source: Artificial Analysis

Design Arena

How Design Arena works ↗

Ranking distribution

First
3,214
Second
1,928
Third
1,002
Fourth
380

3299 tournaments ?

Agentic Game Dev
Top 4%
1,285Elo
Win rate: 61.9%
Agentic HTML Slides
Top 11%
1,254Elo
Win rate: 59.4%
Agentic Slides (HTML)
Top 22%
1,252Elo
Win rate: 59.5%
Android Native
Top 5%
1,297Elo
Win rate: 65.1%
Full-Stack
Top 16%
1,278Elo
Win rate: 58.2%
Godot Game Dev
Top 6%
1,292Elo
Win rate: 64.3%
HTML Slides
Top 4%
1,277Elo
Win rate: 63.1%Avg time: 236s
Mobile Apps
Top 11%
1,259Elo
Win rate: 60.5%
Python Slides
Top 7%
1,295Elo
Win rate: 61.4%Avg time: 390s
Web Apps
Top 21%
1,254Elo
Win rate: 56.4%
3D
Top 8%
1,330Elo
Win rate: 61.8%Avg time: 135s
ASCII Art
Top 2%
1,338Elo
Win rate: 68%Avg time: 86.3s
Code
Top 7%
1,317Elo
Win rate: 57.7%Avg time: 166s
Data Viz
Top 7%
1,314Elo
Win rate: 57.5%Avg time: 106s
Game Dev
Top 4%
1,349Elo
Win rate: 60.8%Avg time: 219s
SVG
Top 6%
1,301Elo
Win rate: 62.6%Avg time: 59.1s
UI Component
Top 8%
1,325Elo
Win rate: 58.1%Avg time: 132s
Website
Top 8%
1,302Elo
Win rate: 56%Avg time: 171s

Metrics sourced from Design Arena

Code example

cURL
curl https://api.hormouz.net/v1/chat/completions \
  -H "Authorization: Bearer ng-YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "anthropic/claude-fable-5:batch",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'
Python
from openai import OpenAI
client = OpenAI(api_key="ng-YOUR_API_KEY", base_url="https://api.hormouz.net/v1")
response = client.chat.completions.create(
    model="anthropic/claude-fable-5:batch",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)
JavaScript
import OpenAI from "openai";
const client = new OpenAI({ apiKey: "ng-YOUR_API_KEY", baseURL: "https://api.hormouz.net/v1" });
const response = await client.chat.completions.create({
  model: "anthropic/claude-fable-5:batch",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);

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Updated 2026-10-13