Claude Token Cost Calculator

Claude API Cost Calculator

Calculate costs for Anthropic’s latest Claude models – Updated November 24, 2025

200K Context SWE-bench: 80.9% Effort Parameter Best Coding Model
≈ 1,125 words
≈ 600 words

Cost Optimization

90% off reads

Cache reads at $0.50/1M tokens for repeated contexts

50% off

Half price for non-time-sensitive requests

Per Request
$0.0275
$0.0075 input + $0.02 output
Monthly Total
$137.50
5,000 requests × $0.0275

Token Estimator

0 tokens
$0.00 estimated cost
0 words

Model Comparison

tokens
tokens
ModelCost/Request1K Requests10K RequestsBest For

Choosing Your Claude Model

Claude’s November 2025 lineup features a new flagship. Claude Opus 4.5, released today, delivers an 80.9% SWE-bench score at $5/$25 per million tokens – a 66% price reduction from previous Opus models while achieving state-of-the-art coding performance.

Claude Opus 4.5 NEW $5 / $25
80.9% SWE-bench • 200K context • 64K output • Effort parameter • Hybrid reasoning

Released November 24, 2025. Best coding model in the world with state-of-the-art performance on software engineering benchmarks. Outperformed every human candidate on Anthropic’s internal engineering exam within a two-hour window. New effort parameter lets you balance performance vs. cost – at medium effort, matches Sonnet 4.5 using 76% fewer tokens.

Claude Sonnet 4.5 $3 / $15
77.2% SWE-bench • 200K context • 64K output • 30+ hours focus

Released September 2025. Excellent coding model with sustained focus for complex tasks. Best value for production applications when Opus 4.5’s pricing premium isn’t justified. Extended thinking capabilities and computer use support.

Claude Haiku 4.5 $1 / $5
73% SWE-bench • 200K context • 4-5x faster • Extended thinking • ASL-2 safety

Released October 2025. Near-frontier performance at exceptional cost efficiency. Matches Sonnet 4’s coding capabilities at one-third the cost and more than twice the speed. Default model for free users. Ideal for real-time applications, chat assistants, pair programming, and high-volume sub-agent orchestration.

Claude Opus 4.1 / Opus 4 $15 / $75
74.5% SWE-bench (4.1) • 200K context • 64K output • Hybrid reasoning

Previous flagship models. With Opus 4.5 offering better performance at 66% lower cost, these are now primarily for legacy workflows that specifically require Opus 4.1 or Opus 4 model behavior. Most users should migrate to Opus 4.5.

Claude Sonnet 4 $3 / $15
72.7% SWE-bench • 200K-1M context • 64K output

Strong balance of performance and cost. Optional 1M context window (beta) at premium pricing. Suitable for general-purpose applications when Sonnet 4.5 isn’t needed.

Claude 3.7 Sonnet $3 / $15
Visible thinking • 128K output • Hybrid reasoning

First hybrid model showing step-by-step reasoning. Ideal for educational applications and debugging complex problems where visible thought process adds value.

Claude Haiku 3.5 / Haiku 3 $0.80/$4 • $0.25/$1.25
Fast performance • 200K context • Budget-friendly

Legacy Haiku models for maximum cost optimization. Haiku 3 at $0.25/$1.25 offers the absolute lowest API costs. Consider upgrading to Haiku 4.5 for dramatically improved capabilities at modest additional cost.

Cost Optimization Features

Two optimization features enable up to 95% total cost reduction when combined effectively.

Prompt Caching

90% off reads

Cache system prompts, documentation, and examples that repeat across requests. Cache reads cost 0.1x base input price – $0.50 per 1M tokens for Opus 4.5. Reduces latency by up to 85% for long prompts.

Cache durations
5-minute TTL: 1.25x write cost
1-hour TTL: 2x write cost
Best for
System instructions and role definitions
API documentation and code examples
Large context documents used repeatedly
Extended context for long conversations

Batch Processing

50% off

Half price for requests without real-time requirements. Typical processing under 1 hour, maximum 24 hours. Does not count against standard API rate limits.

Processing specs
Max 10,000 requests per batch
Results available 29 days
Best for
Content generation and marketing materials
Code reviews and documentation
Dataset analysis and classification
Non-time-sensitive processing
Maximum savings: Batch processing with 1-hour prompt caching achieves up to 95% cost reduction. Since batches take longer to process than the 5-minute cache window, 1-hour caching provides better hit rates for batch workflows.

Opus 4.5 vs Previous Opus Models

Opus 4.5 delivers better performance at dramatically lower cost. The model achieves state-of-the-art results while using fewer tokens to solve the same problems.

Opus Model Comparison
MetricOpus 4.5Opus 4.1Savings
Input Cost (1M tokens)$5.00$15.0066% cheaper
Output Cost (1M tokens)$25.00$75.0066% cheaper
SWE-bench Verified80.9%74.5%+6.4 points
Token EfficiencyUp to 65% fewerBaselineSignificant
Effort ParameterYes (adjustable)NoNew feature

Migration recommendation: Opus 4.5 is a direct upgrade path for existing Opus 4.1 and Opus 4 users. Better performance at lower cost with no breaking changes.

Cost savings example: Processing 10M input tokens and 5M output tokens monthly costs $50 + $125 = $175 with Opus 4.5 versus $150 + $375 = $525 with Opus 4.1 – saving $350/month (67% reduction).

Effort Parameter (Opus 4.5)

Opus 4.5 introduces fine-grained control over reasoning depth. The effort parameter lets you balance performance versus cost on each API request.

Low Effort

Fastest responses with minimal reasoning depth. Best for simple tasks, quick classification, or high-volume applications where speed matters more than thorough analysis.

Medium Effort 76% fewer tokens

Matches Sonnet 4.5’s best SWE-bench score while using 76% fewer output tokens. Optimal balance for most production coding tasks.

High Effort Best quality

Exceeds Sonnet 4.5 by 4.3 percentage points on SWE-bench while still using 48% fewer tokens. Use for mission-critical code, complex debugging, and tasks requiring maximum accuracy.

Token Costs and Usage Patterns

Claude’s tokenizer produces approximately 33% more tokens than simple word counts. Plan for 1.33 tokens per word in English text.

1,000 words ≈ 1,330 tokens
Content TypeTokens per 1K WordsOpus 4.5 Cost
Natural language1,330$0.00665 input / $0.03325 output
Technical docs1,400$0.007 input / $0.035 output
Source code1,500$0.0075 input / $0.0375 output

Managing Output Costs

Output tokens cost 5x more than input tokens across all models. Request specific formats (JSON, bullet points) for concise responses. Set length constraints when detailed analysis isn’t required. Use the effort parameter on Opus 4.5 to control reasoning depth and token usage.

API Rate Limits and Scaling

Automatic tier progression based on deposit history and wait periods. Higher tiers unlock increased limits.

TierMonthly LimitDepositRate Limits
Tier 1$100$520 RPM, 4K tokens/min
Tier 2$500$4040 RPM, 8K tokens/min
Tier 4$5,000$400200 RPM, 40K tokens/min

Opus 4.5 limits: Model-specific caps have been removed for Claude and Claude Code users. Max and Team Premium users receive higher overall quotas.

Enterprise options: Team plans start at $25-30 per user monthly (5 user minimum). Enterprise contracts begin at $50,000 annually with custom limits, dedicated support, and priority access.

Performance vs. Pricing

Claude Opus 4.5 leads software engineering benchmarks with an 80.9% SWE-bench score – narrowly edging out recent releases from Google and OpenAI.

ModelSWE-benchInput Cost (1M)
Claude Opus 4.580.9%$5.00
Claude Sonnet 4.577.2%$3.00
Claude Opus 4.174.5%$15.00
Claude Haiku 4.573.0%$1.00
Claude Sonnet 472.7%$3.00
Gemini 3 Pro~78%$2.00
GPT-5.1~76%$1.25

November AI Rush: All three major labs (Anthropic, OpenAI, Google) released flagship coding models between November 18-24, 2025. The margin between top performers is less than 5 percentage points.

Context advantage: All Claude models offer 200K token context windows. This eliminates document chunking required by smaller context models.

Implementation Strategy

Deploy Claude efficiently through structured model selection and optimization.

Development Phase

Start with Claude Haiku 4.5 ($1/$5) for prototyping. Its near-frontier performance enables realistic testing at minimal cost before scaling.

  • Set up API integration and error handling
  • Optimize prompts for clarity and conciseness
  • Establish token usage monitoring
  • Test extended thinking for complex tasks

Production Deployment

Deploy Haiku 4.5 for high-volume tasks and Opus 4.5 for complex reasoning. Implement prompt caching and batch processing for optimal cost efficiency.

  • Enable caching for repeated context
  • Route appropriate workflows to batch processing
  • Set up cost monitoring and alerts
  • Use effort parameter on Opus 4.5 to balance performance/cost
  • Deploy multi-agent orchestration with Haiku 4.5 sub-agents

Advanced Optimization

Fine-tune model selection per use case. Let Opus 4.5 orchestrate teams of Haiku 4.5 sub-agents for complex multi-step workflows.

  • Analyze cost per feature and per user
  • Implement dynamic model selection
  • Optimize caching strategies
  • Use context compaction for long conversations
  • Scale to higher rate limit tiers

Cost Control Checklist

✓ Track token usage per API call
✓ Cache system prompts and examples
✓ Use batch processing for non-urgent requests
✓ Set effort parameter appropriately on Opus 4.5
✓ Monitor cost per user and feature
✓ Set monthly spending limits and alerts

Additional Pricing Components

Beyond base token costs, several features incur additional charges.

Code Execution

$0.05 per session-hour with 5-minute minimum. Each organization receives 50 free hours daily.

Web Search

$10 per 1,000 searches. Does not include input/output token costs for processing search results.

Tool Use Overhead

System prompt tokens added per request: 313-346 tokens for basic tools, ~700 tokens for text editor, ~245 tokens for bash. Opus 4.5 introduces Tool Search to reduce context bloat by 85%.

Extended Thinking

Charged as regular input tokens. Optional feature with fine-grained API control over reasoning duration. Can be toggled on/off per request. Opus 4.5 preserves thinking blocks from previous turns in context by default.