claude-opus-4-8Claude 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
| Rate | List price | Anvat effective | Savings |
|---|---|---|---|
| Input | $15.00 | $10.50 | 30% |
| Output | $75.00 | $52.50 | 30% |
| Cache write (5 min) | $18.75 | $13.13 | 30% |
| Cache read | $1.50 | $1.05 | 30% |
| 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.
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Use cases
Claude Code, Cursor, coding agents, RAG setup guides
Anvat pricing
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