Anthropic200K contextclaude-opus-4-8

Claude Opus 4.8

Anthropic's flagship — peak quality for the hardest reasoning and coding tasks

Claude Opus 4.8 is Anthropic's flagship model — purpose-built for the hardest reasoning and coding tasks. Strongest on multi-step agent work, complex refactors, and adversarial reasoning. Not a default choice for casual chat — the price-quality tradeoff only makes sense when answer quality genuinely matters.

Pricing

RateList priceAnvat effectiveSavings
Input$15.00$10.5030%
Output$75.00$52.5030%
Cache write (5 min)$18.75$13.1330%
Cache read$1.50$1.0530%
All prices per million tokens (MTok). List = provider direct. Anvat effective = 30% discount applied.

Pricing verified 2026-06 · See full Anvat pricing

Strengths

  • Best-in-class on SWE-bench Verified (coding agent benchmark)
  • Strongest multi-step planning under uncertainty
  • Excellent at long-horizon agentic tasks (10+ tool calls)
  • Cache discount is most aggressive in industry (10% of input on read)
  • Tool use reliability — fewer hallucinated tool calls than competitors
  • Proven on security research: found the 2026 Zcash ZK proof bug an independent researcher had been hunting for weeks

Where it underperforms

  • Premium pricing (5× Sonnet) — only justified for hard problems
  • Slower throughput than Sonnet / Haiku
  • Overkill for classification, extraction, or short-form generation
  • 200K context (vs Sonnet's 1M tier) — not the right pick for very long docs

Use cases this model is the right pick for

  • Complex code refactors and architecture critique
  • Long-horizon coding agents (Claude Code at depth)
  • Security research and protocol audits (e.g. cryptography, ZK circuits, consensus rules)
  • Adversarial reasoning + threat-model generation
  • Multi-step agent planning that requires backtracking
  • Research workflows where one wrong step compounds

Benchmarks

  • coding

    SWE-bench Verified

    Industry-leading

  • agentic

    Tool-use reliability

    Best-in-class

  • reasoning

    Long-context recall

    Strong @ 200K

Benchmark numbers self-reported by provider; verify against the latest publisher documentation before quoting.

Quickstart

Same wire format as direct provider APIs — your existing SDK code keeps working. Point at api.anvat.app/v1 and use your Anvat key.

import Anthropic from "@anthropic-ai/sdk";

const client = new Anthropic({
  baseURL: "https://api.anvat.app/v1",
  authToken: process.env.ANVAT_API_KEY,
});

const response = await client.messages.create({
  model: "claude-opus-4-8",
  max_tokens: 2048,
  messages: [
    { role: "user", content: "Refactor this function to be O(n log n)..." },
  ],
});

Try Claude Opus 4.8 — 30% off list

Same model, same quality, same wire format — at the discounted Anvat effective rate. $2 free credit on signup, no card required.

Get a key →

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