LANGUAGE MODEL Anthropic Last updated:

Claude 3.7 Sonnet (Reasoning)

Claude 3.7 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
Medium
Cost
High
$3.75 in / $15.00 out
Context
200K
Up to 200,000 tokens
How are Intelligence, Speed & Cost bucketed?
Intelligence and Speed buckets are percentile ranks on Artificial Analysis. Cost buckets are fixed dollar thresholds keyed off output-token price ($/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

200k tokens
≈ 154+ pages
4k Chat 聊天
32k Long docs 长文档
128k Books 整本书
400k Multi-doc 多文档
1M Codebase 整个代码库
10M
200k

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
5.0
Coding
SciCode · scaled to 10
1.8
4.3
4.0
Agentic tasks
Terminal-Bench Hard · scaled to 10
0.2
3.6
2.1
Context / memory
Context window size · log-scaled
6.0
9.0
6.7
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

  • First hybrid-reasoning model — same checkpoint switches between fast standard mode and extended thinking
  • 70.3% on SWE-bench Verified with custom scaffold — industry-leading at release; jumped from 62.3% baseline
  • Output token limit jumped 8x to 64K (128K beta) — made long-form code/docs viable in one response

Best use cases

  • Agentic coding with Claude Code CLI — the model designed for this surface
  • Math proofs, multi-step logic, and scientific analysis where extended thinking pays off
  • Long-form code generation, technical writing, or analysis (up to 128K output)

Tools to try

Not ideal for

  • Casual chat or copy that doesn't need reasoning — extended thinking adds latency without benefit
  • Hard reasoning leaderboards by late 2025 — Claude 4 / Opus 4.5 have moved well past it

Model Evolution

Claude is Anthropic's language model family.

View full evolution tree →