Anthropic Models API Cost Calculator & Comparison

Every Anthropic model, side by side — current API rates, context window, benchmarks, and a live calculator that ranks them at your exact workload. 14 active models, 14 with public pricing. Prices refreshed daily.

Models tracked

14

Active

14

With public pricing

14

Cheapest input

$0.25/1M

Calculate your Anthropic API cost at your workload.

Set your workload — every priced model ranks in real time.

Adjust the workload

Every model below updates in real time.

1,00010,00050,000250,0001M10M

Ranked by your monthly bill

No models with public pricing available to compare right now.

Pricing at a glance

Blended $/1M tokens across the lineup.

Blended price uses a 3-to-1 input/output ratio. Green bar = cheapest.

Quick picks

Best Anthropic model for your use case.

As of April 2026, Anthropic offers 14 active models via API, ranging from $0.25/1M to $30.00/1M input tokens. The most context-rich model handles up to 1M tokens. Models support vision, deep reasoning, tool use. All prices are USD per 1 million tokens.

Quality vs price

Anthropic benchmarks at a glance.

Each point is one model — X is blended $/1M tokens, Y is the average of available quality benchmarks. Larger bubbles mean larger context windows.

Per-model benchmark scores

ModelAvgScores
Claude Opus 4.768.2
FrontierMath Tier-422.9GPQA Diamond94.2SWE-Bench Verified87.6
Claude 3.7 Sonnet (thinking)64.9
GPQA Diamond78Humanity's Last Exam8.0MATH82MMLU86.1SWE-Bench Verified70.3
Claude 3.7 Sonnet63.3
GPQA Diamond78Humanity's Last Exam8.0MATH82MMLU86.1SWE-Bench Verified62.3
Claude 3 Haiku61.9
Chatbot Arena Elo1179GPQA Diamond33.3HumanEval75.9MMLU75.2
Claude Opus 4.159.5
AIME 202578GPQA Diamond81Humanity's Last Exam11.5MMLU Pro89.5SciPredict22.2SWE-Bench Verified74.5
Claude Opus 4.657.4
FrontierMath Tier-422.9GPQA Diamond91.3Humanity's Last Exam34.4SWE-Bench Verified80.8
Claude Sonnet 4.656.8
AA Intelligence Index52FrontierMath Tier-48.3GPQA Diamond87.4SWE-Bench Verified79.6
Claude 3.5 Haiku56.7
GPQA Diamond41.6HumanEval88SWE-Bench Verified40.6
Claude Opus 4.6 (Fast)56.6
FrontierMath Tier-422.9GPQA Diamond90.5Humanity's Last Exam34.4SWE-Bench Verified78.7
Claude Sonnet 456.4
AIME 202570GPQA Diamond75Humanity's Last Exam7.8SWE-Bench Verified72.7
Claude Sonnet 4.554.8
AA Intelligence Index61AIME 202587FrontierMath Tier-44.2GPQA Diamond83.4Humanity's Last Exam13.7MMLU Pro89.1SciPredict22.6SWE-Bench Verified77.2
Claude Haiku 4.552.1
AA Intelligence Index31SWE-Bench Verified73.3
Claude Opus 450.2
FrontierMath Tier-40.0%GPQA Diamond79.6Humanity's Last Exam10.7MMLU88SWE-Bench Verified72.5
Claude Opus 4.542.9
FrontierMath Tier-44.2GPQA Diamond85.5Humanity's Last Exam25.2SciPredict23.1SWE-Bench Verified76.7

Every model

Every Anthropic model — pricing, context & capabilities.

ModelContextInput /1MOutput /1M
Claude Opus 4.71M$5.00$25.00
Claude Sonnet 4.61M$3.00$15.00
Claude Opus 4.6 (Fast)1M$30.00$150.00
Claude Opus 4.61M$5.00$25.00
Claude Opus 4.5200K$5.00$25.00
Claude Haiku 4.5200K$1.00$5.00
Claude Sonnet 4.51M$3.00$15.00
Claude Opus 4.1200K$15.00$75.00
Claude Opus 4200K$15.00$75.00
Claude Sonnet 41M$3.00$15.00
Claude 3.7 Sonnet200K$3.00$15.00
Claude 3.7 Sonnet (thinking)200K$3.00$15.00
Claude 3.5 Haiku200K$0.8$4.00
Claude 3 Haiku200K$0.25$1.25

FAQ

常见问题

Pricing patterns, best-known use cases, and how this provider stacks up.

Get instant answers from our AI agent

Anthropic API pricing ranges from $0.25 to $30.00 per 1M input tokens. Output tokens cost more than input on every model. Prices are per 1 million tokens (1M ≈ 750,000 words). Use the calculator above to estimate your monthly spend at your actual workload.
Claude 3 Haiku is the lowest-priced Anthropic model with public pricing at $0.25/1M input tokens. It suits high-volume tasks where cost matters most — classification, extraction, summarization, and similar workloads that don't need frontier reasoning.
Claude Opus 4.6 (Fast) is Anthropic's highest-tier model at $30.00/1M input. It delivers the most sophisticated reasoning, instruction-following, and nuance. For workloads that don't require frontier performance, a mid-tier model typically cuts inference costs substantially.
Claude Opus 4.7, Claude Sonnet 4.6, Claude Opus 4.6 (Fast) and 8 more support deep reasoning mode, which improves performance on multi-step coding, debugging, and code review. For simpler autocomplete or snippet generation, a faster, cheaper model often delivers acceptable quality at a fraction of the cost.
Claude Opus 4.7, Claude Sonnet 4.6, Claude Opus 4.6 (Fast) and 11 more support function calling (tool use), required for agentic workflows. Agents need a model that reliably follows structured output schemas — test with your specific tool definitions before committing to production volumes.
Yes — Claude Opus 4.7, Claude Sonnet 4.6, Claude Opus 4.6 (Fast), Claude Opus 4.6 and 10 more accept image input alongside text. You can pass screenshots, photos, charts, and documents for analysis. Vision adds no separate line-item on most Anthropic models — you're billed for the token equivalent of the image.
Yes — Anthropic supports prompt caching (discounts for repeated context) and batch processing (accept a delay, cut costs ~50%). These rates appear in the table above under "Cached /1M" and "Batch /1M." Caching pays off quickly if your prompts share a long system prompt or document prefix across many calls.
Anthropic has historically adjusted prices when launching new model generations, often cutting rates to stay competitive. Buzzi.ai snapshots pricing daily — you can subscribe to price-drop alerts on any Anthropic model using the "Alert me" button on its detail page.
Use the main comparison wizard to run the same calculator across Anthropic, Anthropic, Google, Meta, Mistral, and 20+ other providers. Set your exact workload and get a ranked cost chart in under a minute.
Claude Opus 4.7, Claude Sonnet 4.6, Claude Opus 4.6 (Fast), Claude Opus 4.6 and 7 more offer an extended thinking or reasoning mode. The model spends extra compute "thinking" before answering — slower and more expensive, but meaningfully better on complex, multi-step problems. Standard mode is faster and cheaper for routine tasks.

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