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Anthropic: Claude Haiku 4.5 API

anthropic/claude-haiku-4.5
Playground

Claude Haiku 4.5 API is the lowest-priced Anthropic model in this catalog. Its 200K context is smaller than Sonnet and Opus, but text, image, and file input make it a practical front line for lightweight agent work. [1]

Claude Haiku 4.5 API has no current mapped LLM2014 logic row, so its page focuses on verifiable economics and modalities. It costs one third of Claude Sonnet 4.6 at official input and output rates. [1][2]

MODALITIES
Price$0.5 / $2.5 / 1MCONTEXT200K

Playground

Test Claude Haiku 4.5 API with representative production prompts before using claude-haiku-4.5 in a live workflow.

Providers

APINEED lists Claude Haiku 4.5 API with text, image, and file input, text output, and a 200K context window. APINEED routing and prepaid rates are identified separately. [1]

API Need50% off
Uptime
Total Context
200K
Max Output
64K
Input
$0.5/ 1M
Output
$2.5/ 1M
Cache Read
$0.05/ 1M
Cache Write
$0.625/ 1M

Discount

The 50% APINEED rate brings Haiku to $0.50 input and $2.50 output per million tokens. Repetitive classification and extraction gain more from that low base than occasional complex reasoning. The table compares official Claude Haiku 4.5 API pricing with the APINEED prepaid rate.

Official
Provider baseline
Input $1/ 1MOutput $5/ 1M
Baseline

Availability

APINEED continuously monitors Claude Haiku 4.5 API access and keeps requests on healthy capacity.

System statusLast 90 days
APINEED GATEWAY99.96% uptime

Claude Haiku 4.5 API Benchmarks

No July 2026 logic score is assigned to Claude Haiku 4.5. Teams should measure its task accuracy and latency directly, especially before using it as an automated routing tier. The complete LLM2014 logic 2026-07 table remains below, with Claude Haiku 4.5 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 Haiku 4.5 API without changing the OpenAI-style request shape. Route short summaries, triage, classification, and simple multimodal checks to Haiku. Escalate ambiguous cases to Sonnet or Opus rather than forcing one tier to handle every turn.

1

Get your API key

Create an APINEED key for Claude Haiku 4.5 API and keep it in an environment variable.

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

Make your first request

Use claude-haiku-4.5 for Claude Haiku 4.5 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-haiku-4.5",
  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 Haiku 4.5 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-haiku-4.5",
    "stream": true,
    "messages": [{ "role": "user", "content": "Hello" }]
  }'

Claude Haiku 4.5 API Endpoint

Claude Haiku 4.5 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-haiku-4.5

Parameters

Claude Haiku 4.5 API parameters currently listed for anthropic/claude-haiku-4.5 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.
response_formatobjectSupportedRequests a specific response format.
stopstring or arraySupportedStops generation at the supplied sequence.
structured_outputsbooleanSupportedEnables schema-constrained structured output.
temperaturenumberSupportedControls sampling randomness.
tool_choicestring or objectSupportedControls which tool the model may call.
toolsarraySupportedDefines tools available to the model.
top_kintegerSupportedRestricts sampling to the highest-probability tokens.
top_pnumberSupportedControls nucleus sampling.

Claude Haiku 4.5 API Q&A

Model-specific answers for teams comparing Claude Haiku 4.5 API on capability, benchmark evidence, integration, and cost.

What makes Claude Haiku 4.5 API economical?

It has the lowest official Claude token rates in this catalog, and APINEED reduces both input and output by 50%.

How much context does Claude Haiku 4.5 API provide?

The catalog lists 200K tokens, one fifth of the 1M context shown for current Sonnet and Opus entries.

Which tasks fit Claude Haiku 4.5 API?

Triage, extraction, classification, short summaries, and low-risk multimodal checks are natural candidates for evaluation.

Does Claude Haiku 4.5 have a current logic rank?

For Claude Haiku 4.5 API, no. It is not mapped to the July 2026 LLM2014 dataset, so the page shows no model-specific score.

Which endpoint serves Claude Haiku 4.5 API?

Call Claude Haiku 4.5 API through https://apineed.com/v1/chat/completions with claude-haiku-4.5 as the model value. Existing OpenAI SDK clients usually need only the APINEED base URL and key.

How do I validate Claude Haiku 4.5 API before release?

Evaluate Claude Haiku 4.5 API on representative prompts, record quality, latency, and token use, then choose reasoning settings and fallbacks from those results.

How to Deploy the Claude Haiku 4.5 API on apineed.com

Deploy Claude Haiku 4.5 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 Haiku 4.5 API

Add credits on APINEED before deploying the Claude Haiku 4.5 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 Haiku 4.5 API. The same key can call Claude Haiku 4.5 and other AI APIs through apineed.com.

3

Set the model slug

Use claude-haiku-4.5 as the model value when you deploy the Claude Haiku 4.5 API. Keep the APINEED base URL at https://apineed.com/v1.

4

Send a request to Claude Haiku 4.5 API

Send chat completions or responses to the Claude Haiku 4.5 API from Claude Code, Codex, or any custom agent. The request keeps its OpenAI-compatible shape.

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