Claude 35 Series
Claude 35 is an API model from Anthropic. It’s positioned for hard reasoning and planning—work that benefits from iteration, not just one-shot answers.
Intelligence
Below avg
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.
Reasoning
Solves complex math, logic, and planning tasks.
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
Control
No data reported · placeholder
5.0
Consistency
No data reported · placeholder
5.0
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
- The model that made AI coding actually trustworthy — produces working code nearly every time
- 49% on SWE-bench Verified at release; ahead of o1-preview and significantly past prior versions (33%)
- Outperformed the larger Claude 3 Opus on most benchmarks while costing 80% less
Best use cases
- Front-end and back-end web development — the canonical 2024 coding copilot
- Refactors and feature work where reliability beats raw IQ
- Tools-and-agents stacks (Cline / Claude Dev / Cursor) — became the default model
Tools to try
Not ideal for
- Languages or frameworks outside its training distribution
- Multi-hour autonomous tasks — prefer Claude 4 family
Model Evolution
Claude is Anthropic's image model family.