Anthropic logo

Anthropic: Claude Fable 5 API

anthropic/claude-fable-5
Playground

Claude Fable 5 API is the highest-priced Anthropic model in this catalog, with text, image, and file input and a 1M context window. It is an evaluation choice for teams seeking the Fable tier, not a page that infers performance from other Claude models. [1]

Claude Fable 5 API has no row in the current LLM2014 logic dataset. Its pricing is twice the official input and output rates of Claude Opus 5, so buyers should validate a concrete Fable-specific advantage on their own workload before adopting it at scale. [1][2]

MODALITIES
Price$5 / $25 / 1MCONTEXT1M

Playground

Test Claude Fable 5 API with representative production prompts before using claude-fable-5 in a live workflow.

Providers

APINEED lists Claude Fable 5 API with text, image, and file input, text output, and a 1M context window. APINEED routing and prepaid rates are identified separately. [1]

API Need50% off
Uptime
Total Context
1M
Max Output
128K
Input
$5/ 1M
Output
$25/ 1M
Cache Read
$0.5/ 1M
Cache Write
$6.25/ 1M

Discount

Claude Fable 5 carries a pronounced premium over the rest of the listed Claude range. APINEED cuts the official rates in half, yet controlled prompt testing remains important because the absolute output cost is still high. The table compares official Claude Fable 5 API pricing with the APINEED prepaid rate.

Official
Provider baseline
Input $10/ 1MOutput $50/ 1M
Baseline

Availability

APINEED continuously monitors Claude Fable 5 API access and keeps requests on healthy capacity.

System statusLast 90 days
APINEED GATEWAY99.97% uptime

Claude Fable 5 API Benchmarks

No current LLM2014 result is mapped to Claude Fable 5. The leaderboard is shown for reference only, and the page deliberately avoids presenting another Claude tier’s score as evidence. The complete LLM2014 logic 2026-07 table remains below, with Claude Fable 5 API highlighted when a current row exists. [2]

1stGPT-5.5 (xhigh)83.8077.467.57%494s30,811$25.51$29.57
2ndKimi-K3 (max)82.9174.809.78%1095s39,912$16.76$15.00
3rdClaude Opus 4.8 (xhigh)82.6266.7019.27%791s41,833$28.86$24.64
4thGPT-5.6 Sol (xhigh)81.9472.9910.92%369s17,433$14.43$29.57
5thClaude Opus 5 (xhigh)78.3871.888.29%426s26,392$18.21$24.64
6thQwen3.7-Max (xhigh)74.5666.9510.21%374s54,207$7.81$5.14
7thGLM-5.2 (max)73.6858.2720.91%890s45,683$5.12$4.00
8thGemini 3.1 Pro (high)73.3658.4620.31%214s25,905$8.58$11.83
9thGPT-5.6 Luna (xhigh)69.4951.9725.21%242s38,083$6.31$5.91
10thDeepSeek V4 Pro (max)68.0049.9726.51%1468s60,558$1.45$0.86
11thGrok 4.5 (high)67.5956.7216.08%451s43,372$7.18$5.91
12thMuse Spark 1.166.1857.2313.52%542s42,416$4.98$4.19
13thGemini 3.5 Flash (high)65.9260.398.39%188s36,372$9.03$8.87
14thDoubao-Seed-2.1-pro (high)58.6949.3515.91%2003s85,059$10.21$4.29
15thQwen3.7-Plus (high)58.5044.0924.63%1237s57,152$1.83$1.14
16thGemini 3.6 Flash (high)56.8741.7426.6%206s26,329$5.45$7.39
17thTencent Hy3 (high)54.4244.6018.04%1035s52,037$0.83$0.57
18thClaude Sonnet 5 (xhigh)51.3743.1416.02%529s44,118$12.18$9.86
19thDeepSeek V4 Flash (max)50.6236.2428.41%611s49,593$0.40$0.29
20thMiniMax-M349.1840.9416.75%985s56,467$1.90$1.20
21stClaude Opus 542.0831.7324.6%154s10,180$7.02$24.64
22ndClaude Opus 4.636.8825.7930.07%65s4,387$3.03$24.64
23rdDoubao-Seed-2.0-lite 0428 (high)35.3226.7724.21%656s26,726$0.38$0.51
24thGemini 3.5 Flash (minimal)33.2422.2233.15%44s6,189$1.54$8.87
25thLing-3.0-flash32.5320.6236.61%688s86,204$0.00$0.00
26thGemini 3.5 Flash Lite (high)30.2322.8224.51%188s18,297$1.26$2.46
27thGPT-5.5 Instant28.8717.6638.83%25s1,673$1.39$29.57
28thGemma 4 31B27.9122.0421.03%770s15,050$0.17$0.39
29thMiMo-V2.5-Pro26.9113.0051.69%478s29,443$0.71$0.86
30thQwen3.7-Plus26.1916.2338.03%314s8,692$0.28$1.14
31stStep-3.7-Flash26.1813.7447.52%258s44,912$1.46$1.16
32ndQwen3.5-27B24.9617.9827.96%451s26,391$0.51$0.69
33rdGemini 3.1 Flash Lite (high)23.7814.3039.87%82s28,351$1.17$1.48
34thClaude Sonnet 523.6410.8654.06%109s5,962$1.65$9.86
35thQwen3.7-Max22.4518.5317.46%196s6,710$0.97$5.14
36thERNIE 5.120.4915.4924.4%457s24,093$1.73$2.57
37thopenPangu-2.0-Flash19.8310.7645.74%571s28,199$0.18$0.23
38thLongCat-2.019.409.7449.79%395s14,886$0.48$1.14
39thDeepSeek V4 Flash19.3913.3731.05%63s5,286$0.04$0.29
40thMistral Medium 3.518.4413.8724.78%194s27,854$5.77$7.39
41stDoubao-Seed-2.1-pro17.499.7444.31%305s6,009$0.72$4.29
42ndGLM-5.214.8010.4329.53%23s953$0.11$4.00
43rdLing-2.6-1T13.058.3935.71%229s4,770$0.31$2.29
44thiFLYTEK Spark X212.396.2149.88%458s11,285$0.09$0.29
45thGemini 3.1 Flash Lite11.7910.2812.81%9s773$0.03$1.48
46thMistral Medium 3.510.837.1334.16%17s2,546$0.53$7.39
47thLing-2.6-flash10.074.8551.84%25s4,997$0.04$0.30

Quick Start

Connect Claude Fable 5 API without changing the OpenAI-style request shape. Use an evaluation set that includes long documents, image-plus-text tasks, and tool calls before routing production traffic. The 1M context supports large evidence packs without changing endpoints.

1

Get your API key

Create an APINEED key for Claude Fable 5 API and keep it in an environment variable.

export API_NEED_API_KEY=sk-apineed-v1-...
2

Make your first request

Use claude-fable-5 for Claude Fable 5 API with the APINEED API. The request shape is compatible with OpenAI chat completions, so most SDKs only need a base URL change.

TypeScript SDKPythoncURLOpenAI SDK
import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.API_NEED_API_KEY,
  baseURL: "https://apineed.com/v1"
});

const result = await client.chat.completions.create({
  model: "anthropic/claude-fable-5",
  messages: [
    { role: "user", content: "Why is the sky blue?" }
  ]
});

console.log(result.choices[0].message.content);
3

Enable streaming and fallbacks

Add stream: true when Claude Fable 5 API should return server-sent events. APINEED keeps routing, provider health, and fallback handling behind the same endpoint.

curl https://apineed.com/v1/chat/completions \
  -H "Authorization: Bearer $API_NEED_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "anthropic/claude-fable-5",
    "stream": true,
    "messages": [{ "role": "user", "content": "Hello" }]
  }'

Claude Fable 5 API Endpoint

Claude Fable 5 API accepts chat conversations here with streaming or non-streaming text output; the supported controls are listed on this page.

POST/v1/chat/completions
Authorization
Bearer $API_NEED_API_KEY
Content-Type
application/json
HTTP-Referer
optional - your site URL, for rankings
X-Title
optional - your site name, for rankings
Model
anthropic/claude-fable-5

Parameters

Claude Fable 5 API parameters currently listed for anthropic/claude-fable-5 by the OpenRouter Models API. [1]

NameTypeStatusDescription
include_reasoningbooleanSupportedIncludes reasoning content in the response when available.
max_completion_tokensintegerSupportedLimits the combined visible and reasoning output tokens.
max_tokensintegerSupportedLimits generated output tokens.
reasoningobjectSupportedControls reasoning behavior and token allocation.
reasoning_effortenumSupportedSelects the model reasoning effort.
response_formatobjectSupportedRequests a specific response format.
stopstring or arraySupportedStops generation at the supplied sequence.
structured_outputsbooleanSupportedEnables schema-constrained structured output.
tool_choicestring or objectSupportedControls which tool the model may call.
toolsarraySupportedDefines tools available to the model.
verbosityenumSupportedControls response detail for models that expose verbosity.

Claude Fable 5 API Q&A

Model-specific answers for teams comparing Claude Fable 5 API on capability, benchmark evidence, integration, and cost.

Why is Claude Fable 5 API priced above Claude Opus 5?

The catalog’s official rates list Claude Fable 5 at $10 input and $50 output per million tokens, twice the corresponding Claude Opus 5 rates.

Does Claude Fable 5 API have a verified logic rank here?

No. It is not in the current LLM2014 dataset, so APINEED leaves its rank and model metrics unavailable.

How should teams evaluate Claude Fable 5 API?

Build a representative test set and compare response quality, tool behavior, latency, and total token use against lower-priced Claude tiers.

What content can Claude Fable 5 receive?

Claude Fable 5 API's catalog record supports text, image, and file input, text output, and up to a 1M context window.

Which endpoint serves Claude Fable 5 API?

Call Claude Fable 5 API through https://apineed.com/v1/chat/completions with claude-fable-5 as the model value. Existing OpenAI SDK clients usually need only the APINEED base URL and key.

How do I validate Claude Fable 5 API before release?

Evaluate Claude Fable 5 API on representative prompts, record quality, latency, and token use, then choose reasoning settings and fallbacks from those results.

How to Deploy the Claude Fable 5 API on apineed.com

Deploy Claude Fable 5 API through APINEED after validating its model-specific trade-offs above. The API key, credit, and endpoint flow stays consistent across the catalog.

1

Add credits for Claude Fable 5 API

Add credits on APINEED before deploying the Claude Fable 5 API. Pay-as-you-go billing lets usage start small and scale with production traffic.

2

Get your API key

Create an APINEED API key for the Claude Fable 5 API. The same key can call Claude Fable 5 and other AI APIs through apineed.com.

3

Set the model slug

Use claude-fable-5 as the model value when you deploy the Claude Fable 5 API. Keep the APINEED base URL at https://apineed.com/v1.

4

Send a request to Claude Fable 5 API

Send chat completions or responses to the Claude Fable 5 API from Claude Code, Codex, or any custom agent. The request keeps its OpenAI-compatible shape.

More models from Anthropic