Claude Instant
Claude Instant is an API model from Anthropic. It’s positioned for general text tasks—work that benefits from iteration, not just one-shot answers.
Context
100K
Up to 100,000 tokens
Core Capabilities
Long Documents
Handles entire codebases, books, and multi-doc RAG.
Context Window
100k tokens
≈ 77 pages
4k Chat 聊天
32k Long docs 长文档
128k This model 本模型
400k Multi-doc 多文档
1M Codebase 整个代码库
10M
Availability
API
Available
Product / App
Not available
Open Source
Not released
Enterprise
Contact sales
Pricing Model
Pay per token
Input and output billed separately.
Pay-per-token Capability / Performance
Where this model sits relative to the middle 60% of models in the tree. All scores are 0–10 (higher is better).
Lower 20% Upper 80% This model
Context / memory
Context window size · log-scaled
6.0
9.0
5.7
Lower 20% 20th percentile — 20% of models score below this This model Where the current model lands Upper 80% 80th percentile — only 20% of models score above this
Percentile boundaries are computed across every model in the tree that reports the underlying benchmark for each capability.
What it feels like
- Earlier fast-tier Claude — superseded by Haiku family.
- Three tiers (Opus / Sonnet / Haiku) — first time the same family covered flagship-quality and ultra-fast in one release
- Opus Needle-in-Haystack: 99.4% recall average, 98.3% even at 200K tokens — long-context that genuinely works
- Opus 90.5% one-shot, 89.2% zero-shot — set new state-of-the-art on multiple expert benchmarks
Best use cases
- Long-document analysis (200K context with reliable retrieval)
- Vision + text tasks where Opus / Sonnet outperform GPT-4V
- Deployments needing a tier-aware family (Haiku triage → Sonnet workflow → Opus hard cases)
Tools to try
Not ideal for
- Bleeding-edge reasoning by 2025 — superseded by Claude 3.5 / 3.7 / 4 family
- Self-hosted / open-weights deployments