Friday, 7 August 2026 | Updating Daily AI insight, written for builders

Claude API Pricing (2026): Cost per 1M Tokens for Every Model

Claude API pricing runs from $1 per 1M input tokens on Claude Haiku 4.5 up to $10
on Claude Fable 5.
Anthropic bills input and output separately, and output costs five
times input across the entire range — so the headline input price tells you very little about
what you will actually pay. The table below gives every current model, and the blended column
is the number worth comparing.

Claude API pricing: every model, per 1M tokens

ModelInput $/1MOutput $/1MBlended $/1MContext
Claude Haiku 4.5$1.00$5.00$1.80200K
Claude Sonnet 5$2.00$10.00$3.601M
Claude Sonnet 4.6$3.00$15.00$5.401M
Claude Opus 5$5.00$25.00$9.001M
Claude Opus 4.8$5.00$25.00$9.001M
Claude Fable 5$10.00$50.00$18.001M

Blended is the effective rate at a 4:1 input-to-output mix, which is what a typical chat or retrieval workload actually produces. It is the number to compare across vendors — a headline input price hides how much the output side costs.

What Claude costs per month

WorkloadTokens / monthClaude Haiku 4.5
cheapest
Claude Fable 5
most capable tier
Side project1M in / 0.25M out$2.25$23
Small team20M in / 5M out$45$450
Production200M in / 50M out$450$4,500

Model your own volumes in the AI API cost calculator.

How Claude compares to other providers

Each provider's cheapest priced model, so the comparison is like for like on entry cost.

ProviderCheapest modelBlended $/1M
Mistral AIMistral 7B$0.0220
MetaLlama 3.1 8B$0.0220
AlibabaQwen3 8B$0.0600
GoogleGemma 3 4B$0.0600
MicrosoftPhi-4$0.0840
DeepSeekDeepSeek V4-Flash$0.168
Moonshot AIKimi K2.7 Code$0.980
Anthropic this pageClaude Haiku 4.5$1.80
Zhipu AIGLM 5.2$2.00
xAIGrok 4$5.40
OpenAIGPT-5.6 Sol$10.00

Cheapest is not the same as best value — check capability alongside price on the LLM leaderboard, or browse every model in the AI models database.

Which Claude model should you use?

Anthropic’s line is a straightforward capability ladder, and most teams overpay by starting
at the top of it.

Haiku 4.5 is the one to treat as the default rather than the fallback. At
$1 in / $5 out it absorbs an order of magnitude more traffic than an Opus-tier model for the
same money, and the vast majority of what a production application does — classification,
extraction, routing, short-form generation — never needed a frontier model. Its 200K context
is the one real limit; the rest of the line reaches 1M.

Sonnet 5 is the workhorse. Its benchmark profile is coding-heavy: 85.2% on
SWE-Bench Verified, 80.4% on Terminal-Bench 2.1, 81.2% on OSWorld-Verified. Those numbers sit
close to models costing several times more, which is the whole argument for putting Sonnet
rather than Opus at the centre of a coding agent.

Opus 5 is the flagship, ranked first on the Artificial Analysis Intelligence
Index at 61. It arrived at unchanged Opus pricing, so anyone already on Opus 4.8 can migrate
with a model-string change and no budget consequence — worth doing promptly, because a
generational capability jump at flat pricing is rare.

Fable 5 only makes sense at the top of the difficulty curve. At $50 per 1M
output tokens it costs roughly five times Opus on the output side, so routing ordinary requests
to it burns budget for no measurable gain. Reserve it for work where a wrong answer is
expensive: unattended multi-step agents, deep research, refactors across a large codebase.

The pattern that works is a router — Haiku in front, escalating to Sonnet or Opus only when
a confidence check fails. Teams that instrument their token mix usually discover output is
where the bill actually lives, and that capping max_tokens and moving first drafts
to a cheaper tier saves more than any prompt-compression trick.

Three things about Claude pricing that catch people out

Sonnet 5’s price is temporary. The $2 / $10 rate is introductory and runs
through 31 August 2026, after which standard pricing of $3 / $15 applies. That is a 50%
increase, and it will land silently on any workload sized against the current number. If you
are modelling unit economics for something launching this year, model it at $3 / $15 and treat
today’s rate as a discount.

Opus 5’s Fast mode doubles both rates. The API-only Fast tier bills at
$10 / $50 rather than $5 / $25. It earns that only where latency is the product — interactive
coding assistants, live agent loops where a user is waiting. For batch work, overnight agents
and anything queued, standard mode delivers the same intelligence at half the price.

There is no long-context premium. This is the quiet advantage over rivals.
Claude Opus 4.8 bills its 1M-token context at the same rate from the first token to the
millionth. Several competing models step the input rate up once a prompt passes a threshold —
GPT-5.6 Sol charges 2x input and 1.5x output above 272K tokens, and Gemini 3.1 Pro roughly
doubles input above 200K. That makes their long-context features unpredictable to budget,
because the same feature costs a different amount depending on how much a user pasted in. With
Claude you can size prompts around what produces the best answer rather than around a pricing
cliff.

Frequently asked questions

How much does the Claude API cost?

Claude API pricing runs from $1.80 per 1M blended tokens on Claude Haiku 4.5 up to $18.00 on Claude Fable 5. Blended assumes a 4:1 input-to-output mix. Input and output are billed separately, and output is always the more expensive side.

What is the cheapest Claude model?

Claude Haiku 4.5, at $1.00 per 1M input tokens and $5.00 per 1M output. A small-team workload of 20M input and 5M output tokens a month costs about $45 on it.

How much does Claude cost per month?

At 20M input and 5M output tokens a month, Claude Haiku 4.5 costs about $45 and Claude Fable 5 about $450. A side project at 1M/0.25M costs a small fraction of that. Use the AI API cost calculator for your own volumes.

Is Claude cheaper than Mistral AI?

On entry-level pricing, Claude starts at $1.80 per 1M blended and Mistral AI starts at $0.0220 on Mistral 7B. Mistral AI is the cheaper entry point, though capability differs — compare both on the leaderboard before switching.

Why does Claude charge more for output tokens than input?

Output tokens are generated one at a time and cannot be batched the way a prompt can, so they cost more to serve. This is why prompt-heavy workloads such as retrieval and classification are far cheaper to run than generation-heavy ones, and why the blended rate matters more than the headline input price.

Prices are the published list rates for each model's primary API and are reviewed as providers change them. Volume, batch and cached-input discounts are not included. Last reviewed August 2026.

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