Anthropic Claude models: where each one earns its price

Anthropic
Services found: 13
#AI modelCapabilitiesAPI $/1M (in / out)Context windowPrice / moOutput $/1MOverviewVisit site
1

Claude Fable 5.1

Anthropic
Text & chatVisionReasoning
$10 / $501M tokensAPI only50View
2

Claude Opus 5.5

Anthropic
Text & chatVisionReasoning
$4 / $201M tokensAPI only20View
3

Claude Sonnet 5.5

Anthropic
Text & chatVisionReasoning
$2 / $101M tokensAPI only10View
4

Claude Opus 5

Anthropic
Text & chatVisionReasoning
$5 / $251M tokensAPI only25View
5

Claude Fable 5

Anthropic
Text & chatVisionReasoning
$10 / $501M tokensAPI only50View
6

Claude Opus 4.8

Anthropic
Text & chatVisionReasoning
$5 / $251M tokensAPI only25View
7

Claude Sonnet 5

Anthropic
Text & chatVisionReasoning
$2 / $101M tokensAPI only10View
8

Claude Sonnet 4.6

Anthropic
Text & chatVisionReasoning
$3 / $151M tokensAPI only15View
9

Claude Sonnet 4.5

Anthropic
Text & chatVisionReasoning
$3 / $151M tokensAPI only15View
10

Claude Haiku 4.5

Anthropic
Text & chatVisionReasoning
$1 / $5200K tokensAPI only5View
11

Claude Opus 4.6

Anthropic
Text & chatVisionReasoning
$5 / $251M tokensAPI only25View
12

Claude Opus 4.7

Anthropic
Text & chatVisionReasoning
$5 / $251M tokensAPI only25View
13

Claude Opus 4.5

Anthropic
Text & chatVisionReasoning
$5 / $25200K tokensAPI only25View

Browse by need

Anthropic runs a narrow, clearly tiered line-up: Fable 5.1 at the top for long-horizon agentic work, Opus 5 for demanding coding and analysis, Sonnet 5 as the balanced default, Haiku 4.5 for speed. Output spans $5 to $50 per 1M tokens, and the whole current range carries a 1M-token window.

Two economics matter here. Sonnet 5 kept its introductory $2 / $10 pricing after the planned rise was cancelled, making it the strongest value in the mid tier. And cache reads on Fable 5.1 cost 2.5% of base input rather than the usual 10%, which changes the maths for agents with large stable prompts.

Clear tieringFour names, four price points, no overlapping variants to decode.
Deepest cache discountFable 5.1 reads cached input at 2.5% of base.
Adjustable thinkingReasoning depth is a parameter across the family.

Models from this vendor

How to choose

  • Pick the tier by consequence: Haiku for volume, Sonnet 5 as the default, Opus 5 for coding and analysis, Fable for long agentic runs.
  • Use adjustable thinking rather than switching models — the same Claude at lower depth is often the cheaper answer.
  • Structure prompts so the stable part comes first; cache reads cost a tenth of base input, and 2.5% on Fable 5.1.
  • Watch the 1.1x multiplier if you pin US inference geography on 4.6-class models.

Common mistakes

Defaulting to OpusSonnet 5 handles most production work at 40% of the price with the same 1M window.
Ignoring the tokenizer changeClaude 4.7 and newer count roughly 30% more tokens on the same text, which shifts budgets.

Who this suits

Engineering teamsAgentic coding and long refactors, where Opus 5 and Fable earn their price.
Regulated workConsumer chats are excluded from training by default, and API traffic entirely.
Agent buildersThe deepest cache discount in the rating makes repeated system context nearly free.

Related filters

Text & chat228 models for text generation and chat
Vision156 models that read images
Reasoning169 models that think before answering
Adjustable thinking79 models with a reasoning depth dial
Alibaba (Qwen)34 models in this rating
OpenAI30 models in this rating
Google DeepMind17 models in this rating

Frequently asked questions

Which Claude model is best value?

Sonnet 5 at $2 input and $10 output, which kept its introductory pricing permanently.

Is there a free Claude API tier?

No. Evaluation requires a paid account, though the consumer plan has a free tier.

What is Fable for?

Long-horizon agentic runs where accuracy across many steps outweighs per-token cost.

What is the difference between Fable and Opus?

Fable targets long-horizon agentic work at $50 output; Opus 5 is the coding and analysis flagship at $25.

Does Claude have a batch discount?

Yes — 50% off input and output, on top of caching.

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