LANGUAGE MODEL Anthropic Last updated:

Claude 4.5 Sonnet (Reasoning)

Claude 4.5 Sonnet (Reasoning) is an API model from Anthropic. It’s positioned for general text tasks—work that benefits from iteration, not just one-shot answers.

Intelligence
Good
Speed
Slow
50 tok/s output
Cost
High
$3.75 in / $15.00 out
Context
1M
Up to 1,000,000 tokens
How are Intelligence, Speed & Cost bucketed?
Intelligence and Speed buckets are percentile ranks on Artificial Analysis. Cost buckets are fixed dollar thresholds keyed off output-token price ($/M out).
Intelligence
  • Top 1%≤ 1%
  • Top 5%≤ 5%
  • Top 10%≤ 10%
  • Good≤ 25%
  • Medium≤ 50%
  • Below avg> 50%
Speed
  • Top 1%≥ 345 tok/s
  • Top 5%≥ 237 tok/s
  • Top 10%≥ 196 tok/s
  • Good≥ 146 tok/s
  • Medium≥ 90 tok/s
  • Slow< 90 tok/s
Cost
  • Freeopen weights · self-host
  • Low< $1 / M out
  • Moderate$1–5 / M out
  • High≥ $5 / M out

Core Capabilities

Long Documents
Handles entire codebases, books, and multi-doc RAG.

Context Window

1M tokens
≈ entire codebase
4k Chat 聊天
32k Long docs 长文档
128k Books 整本书
400k Multi-doc 多文档
1M This model 本模型
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
Reasoning
AA Intelligence Index · scaled to 10
1.7
5.6
6.1
Coding
SciCode · scaled to 10
1.8
4.3
4.5
Agentic tasks
Terminal-Bench Hard · scaled to 10
0.2
3.6
3.6
Context / memory
Context window size · log-scaled
6.0
9.0
9.0
Cost efficiency
Input price ($/M tokens) · cheaper scores higher
6.2
10.0
4.5
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

  • 77.2% on SWE-bench Verified at release — highest-scoring Claude model in standard runs (82.0% with parallel compute)
  • Sustains 30+ hour autonomous coding tasks — Anthropic's headline reliability claim
  • 61.4% on OSWorld for computer use, 100% AIME 2025 with Python tools, 83.4% GPQA Diamond

Best use cases

  • Production agentic coding (Devin, Cursor, Cline, Claude Code) where reliability matters
  • Long-running autonomous tasks (>30h) without losing the thread
  • Cost-sensitive teams that want frontier coding without Opus pricing

Tools to try

Not ideal for

  • Hardest reasoning tasks — Opus 4.5/4.6 lead by ~7 points on AA Intelligence Index
  • Workloads needing 1M-token context (Sonnet 4.5 ships 200K)

Model Evolution

Claude is Anthropic's language model family.

View full evolution tree →