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Anthropic: Claude Opus 4.8 API

anthropic/claude-opus-4.8
Playground

Claude Opus 4.8 API is a premium Anthropic tier with a 1M context and text, image, and file inputs. Its high-effort benchmark run reaches the top six, making it relevant when peak task quality can outweigh longer completion times. [1]

Claude Opus 4.8 API posts an 82.62 best score and 66.70 median at #6, but its 19.27-point best-to-median gap signals variable results across the test set. It also used more time and tokens than the newer Claude Opus 5 high-effort run. [1][2]

MODALITIES
Price$2.5 / $12.5 / 1MCONTEXT1M

Playground

Test Claude Opus 4.8 API with representative production prompts before using claude-opus-4.8 in a live workflow.

Providers

APINEED lists Claude Opus 4.8 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
$2.5/ 1M
Output
$12.5/ 1M
Cache Read
$0.25/ 1M
Cache Write
$3.125/ 1M

Discount

Its official rates match Claude Opus 5, so selection should hinge on measured task behavior rather than token price. APINEED’s 50% reduction applies equally to input and output. The table compares official Claude Opus 4.8 API pricing with the APINEED prepaid rate.

Official
Provider baseline
Input $5/ 1MOutput $25/ 1M
Baseline

Availability

APINEED continuously monitors Claude Opus 4.8 API access and keeps requests on healthy capacity.

System statusLast 90 days
APINEED GATEWAY99.76% uptime

Claude Opus 4.8 API Benchmarks

Claude Opus 4.8 ranks #6, two places behind Claude Opus 5’s high-effort row. Its best score is higher, while Claude Opus 5 records a stronger median and substantially shorter measured completion time. The complete LLM2014 logic 2026-07 table remains below, with Claude Opus 4.8 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 Opus 4.8 API without changing the OpenAI-style request shape. Evaluate Claude Opus 4.8 on long-form analysis, code review, and difficult tool plans. Track end-to-end latency and generated tokens because the benchmark shows a relatively heavy run profile.

1

Get your API key

Create an APINEED key for Claude Opus 4.8 API and keep it in an environment variable.

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

Make your first request

Use claude-opus-4.8 for Claude Opus 4.8 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-opus-4.8",
  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 Opus 4.8 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-opus-4.8",
    "stream": true,
    "messages": [{ "role": "user", "content": "Hello" }]
  }'

Claude Opus 4.8 API Endpoint

Claude Opus 4.8 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-opus-4.8

Parameters

Claude Opus 4.8 API parameters currently listed for anthropic/claude-opus-4.8 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.
temperaturenumberSupportedControls sampling randomness.
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 Opus 4.8 API Q&A

Model-specific answers for teams comparing Claude Opus 4.8 API on capability, benchmark evidence, integration, and cost.

How does Claude Opus 4.8 API compare with Claude Opus 5?

Both have the same listed token rates. Claude Opus 4.8 has a higher benchmark best score, while Claude Opus 5 has a higher median, better rank, and shorter measured time.

What does Claude Opus 4.8 API’s benchmark gap mean?

The 19.27% gap between its best and median scores indicates that performance varied materially across the evaluated logic problems.

Should latency be considered for Claude Opus 4.8 API?

Yes. The benchmark records 791 seconds average completion time for its highlighted high-effort run, so interactive workloads should be tested directly.

What input types does Claude Opus 4.8 accept?

For Claude Opus 4.8 API, the model catalog lists text, image, and file input with text output and a 1M context window.

Which endpoint serves Claude Opus 4.8 API?

Call Claude Opus 4.8 API through https://apineed.com/v1/chat/completions with claude-opus-4.8 as the model value. Existing OpenAI SDK clients usually need only the APINEED base URL and key.

How do I validate Claude Opus 4.8 API before release?

Evaluate Claude Opus 4.8 API on representative prompts, record quality, latency, and token use, then choose reasoning settings and fallbacks from those results.

How to Deploy the Claude Opus 4.8 API on apineed.com

Deploy Claude Opus 4.8 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 Opus 4.8 API

Add credits on APINEED before deploying the Claude Opus 4.8 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 Opus 4.8 API. The same key can call Claude Opus 4.8 and other AI APIs through apineed.com.

3

Set the model slug

Use claude-opus-4.8 as the model value when you deploy the Claude Opus 4.8 API. Keep the APINEED base URL at https://apineed.com/v1.

4

Send a request to Claude Opus 4.8 API

Send chat completions or responses to the Claude Opus 4.8 API from Claude Code, Codex, or any custom agent. The request keeps its OpenAI-compatible shape.

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