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Anthropic: Claude Fable 5 API

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 exact mapped result in LLM2014 logic 2026-08. Historical scores and scores for other versions are not presented as current results for this model. [1][2]

MODALITIES
Price$5 / $25 / 1MCONTEXT1M

Playground

Try Claude Fable 5 in the API Need Playground.

Provider

Current API Need routing and live API pricing. [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

Pricing

Pricing uses the current live API Need configuration for this model.

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

Availability

Recent public performance data for this model.

API statusLive metrics
API Need gateway99.97% uptime

Benchmarks

Editorial benchmark data is shown when this model has a verified match. [2]Intelligence uses the source’s median-score ranking. Efficiency views are APINEED calculations, not official LLM2014 rankings. Test costs and reference prices are converted at ¥7 per US dollar; they are not APINEED selling prices. Missing values are N/A. These results describe the source’s tested configurations, not guaranteed APINEED endpoint performance.

1stGPT-5.5 (xhigh)80.2373.897.9%534s33,219$27.51$29.57
2ndGPT-5.6 Sol (xhigh)78.3769.4211.42%381s17,769$14.71$29.57
3rdKimi-K3 (max)75.7767.6610.7%1144s41,432$17.40$15.00
4thClaude Opus 5 (xhigh)71.2464.749.12%437s26,705$18.43$24.64
5thGLM-5.3 (max)74.4863.9114.19%1009s57,408$6.43$4.00
6thGLM-5.3-Flash (max)69.5560.5212.98%863s38,787$0.22$0.20
7thQwen3.8-Max (xhigh)64.6860.057.16%1297s65,135$9.38$5.14
8thDeepSeek V4 Pro 0813(max)70.1359.6314.97%1601s73,350$7.92$3.86
9thDeepSeek-V4-Flash-Vision-Exp (max)62.8658.107.57%974s79,420$2.86$1.29
10thGemini 3.7 Flash (high)66.6257.5613.6%131s26,596$2.75$3.70
11thGrok 4.6 (high)67.9356.4116.96%813s33,807$5.60$5.91
12thGemini 3.1 Pro (high)69.3555.8419.48%235s28,338$9.39$11.83
13thDeepSeek V4 Flash 0731 (max)66.3455.2316.75%881s74,657$2.69$1.29
14thGLM-5.2 (max)66.5354.7017.78%891s46,273$5.18$4.00
15thQwen3.8-Flash (xhigh)65.4454.4916.73%844s64,942$0.70$0.39
16thGPT-5.6 Luna (xhigh)65.9251.6221.69%247s37,885$1.25$1.18
17thQwen3.8-27B (xhigh)58.4847.6518.52%2318s73,987$3.55$1.71
18thDoubao-Seed-2.1-pro (high)55.1245.7816.94%2026s85,238$10.23$4.29
19thMuse Spark 1.2 (xhigh)57.9345.1422.08%359s47,209$5.54$4.19
20thGemini 3.7 Flash (low)53.5044.0617.64%59s10,673$1.10$3.70
21stClaude Sonnet 5 (xhigh)47.8039.5717.22%545s45,066$12.44$9.86
22ndTencent Hy3 (high)57.8939.5131.75%1076s53,214$0.85$0.57
23rdQwen3.7-Plus (high)51.3638.7424.57%1254s58,610$1.88$1.14
24thMiniMax-M343.8337.3714.74%982s57,486$1.93$1.20
25thDoubao-Seed-2.0-lite 0428 (high)34.1326.1823.29%669s27,845$0.40$0.51
26thClaude Opus 534.9424.5829.65%156s10,261$7.08$24.64
27thGemini 3.5 Flash Lite (high)29.5120.4430.74%192s17,842$1.23$2.46
28thLing-3.0-flash28.3717.0539.9%735s95,538N/AN/A
29thGemma 4 31B21.3616.0924.67%756s15,290$0.17$0.39
30thopenPangu-2.0-Pro20.0215.7521.33%645s28,215$1.64$2.07
31stQwen3.7-Plus20.8415.6325%323s8,910$0.29$1.14
32ndGPT-5.5 Instant21.7314.0935.16%28s1,712$1.42$29.57
33rdMistral Medium 3.517.2513.8719.59%200s28,129$5.82$7.39
34thStep-3.7-Flash26.1813.7447.52%282s47,180$1.53$1.16
35thMiMo-V2.5-Pro26.3113.0050.59%550s33,095$0.79$0.86
36thDots3-Note Preview18.6312.9530.49%210s28,386N/AN/A
37thERNIE 5.116.3211.3230.64%468s24,522$1.77$2.57
38thQwen3.8-27B16.4810.6135.62%192s8,914$0.43$1.71
39thopenPangu-2.0-Flash19.2410.1647.19%583s29,052$0.19$0.23
40thLongCat-2.017.619.7444.69%374s14,273$0.46$1.14
41stClaude Sonnet 516.499.6741.36%113s6,175$1.70$9.86
42ndGLM-5.212.428.0535.19%24s929$0.10$4.00
43rdDeepSeek V4 Flash 073113.577.9341.56%53s4,621$0.17$1.29
44thGemini 3.1 Flash Lite9.017.1121.09%11s707$0.03$1.48
45thDoubao-Seed-2.1-pro13.036.1752.65%319s6,948$0.83$4.29
46thMistral Medium 3.58.455.9329.82%18s2,589$0.54$7.39

Quick Start

Call Claude Fable 5 with its real backend model ID.

1

Get an API key

Create an API key in the product app.

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

Send a request

Call /v1/chat/completions with model claude-fable-5.

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: "claude-fable-5",
  messages: [
    { role: "user", content: "Why is the sky blue?" }
  ]
});

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

Handle the response

Validate responses and errors in your application.

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

Endpoints

Endpoints currently returned by the live pricing API.

POST/v1/messages
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
claude-fable-5
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
claude-fable-5

Parameters

Supported parameters are shown when verified metadata is available. [1]

No verified parameter metadata is currently available.

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?

Claude Fable 5 has no exact mapped result in LLM2014 logic 2026-08. Historical scores and scores for other versions are not presented as current results for this model.

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 Claude Fable 5

Connect the live model to your application.

1

Top up

Add usage credit in the product app.

2

Create a key

Create and securely store an API key.

3

Configure the endpoint

Send requests to /v1/chat/completions.

4

Monitor responses

Track status, latency, and errors in your application.

More live models