Claude API Pricing: Per-Model Cost Per Token
Compare the cost per token to the price you pay to ship the right-quality answer. These aren't necessarily the same.
| Model | Input | Output | Batch in | Batch out | Cache read |
|---|---|---|---|---|---|
| Claude Fable 5 | $10.00 | $50.00 | $5.00 | $25.00 | $1.00 |
| Claude Fable 5.1 | $10.00 | $50.00 | $5.00 | $25.00 | $0.25 |
| Claude Haiku 4.5 | $1.00 | $5.00 | $0.50 | $2.50 | $0.10 |
| Claude Opus 4.5 | $5.00 | $25.00 | $2.50 | $12.50 | $0.50 |
| Claude Opus 4.6 | $5.00 | $25.00 | $2.50 | $12.50 | $0.50 |
| Claude Opus 4.7 | $5.00 | $25.00 | $2.50 | $12.50 | $0.50 |
| Claude Opus 4.8 | $5.00 | $25.00 | $2.50 | $12.50 | $0.50 |
| Claude Opus 5 | $5.00 | $25.00 | $2.50 | $12.50 | $0.50 |
| Claude Sonnet 4.5 | $3.00 | $15.00 | $1.50 | $7.50 | $0.30 |
| Claude Sonnet 4.6 | $3.00 | $15.00 | $1.50 | $7.50 | $0.30 |
| Claude Sonnet 5 | $2.00 | $10.00 | $1.00 | $5.00 | $0.20 |
All prices in USD per 1M tokens. Batch runs asynchronously at a reduced rate; cache read applies to reused input tokens. A dash means the provider does not publish that rate.
The spread from Haiku to Opus is 5-fold, which makes model choice look like a straight quality-for-money trade. It’s not, here’s why.
The sticker price is not the real rate
Claude Opus 4.5 input: one headline rate, three real rates ($/1M tokens)
When every model is good enough, cost is the differentiator
Close quality (85-95), far apart on cost
Paying more does not always buy better quality
On a harder task the flagship is matched for a fifth of the price
The best model today is not the best model forever
The best model today is not the best model forever (illustrative)
Build the hygiene in from day one
If you are choosing between Haiku, Sonnet, and Opus before you have written the app, this is the moment to set up good model-selection and pipeline hygiene, while it costs nothing to change. The teams who stay cheap and reliable do four things from the start.
- Define your quality bar first. Write down what a good answer looks like for your task, so “good enough” is a measured line, not a gut call.
- Pick on evidence, not reputation. Score the candidate models on your own task and take the cheapest one that clears the bar, rather than defaulting to Opus because the job feels important.
- Measure the whole pipeline, not just the model. Your prompt, your context, and your parameters move quality as much as the model does; a diagnostic that names the weak layer saves you from blaming the wrong thing.
- Re-check on a schedule. Providers change models and prices without telling you, so a standing benchmark keeps your choice current instead of quietly drifting.
Baked in at the start, this is a few minutes of setup. Bolted on after a surprise bill or a quality complaint, it is a cleanup job. The pricing table is where the decision starts; this is the habit that keeps it right.
What you get on Pro
- Score any Claude model on your own task
- Cost, quality, and latency side by side
- Pipeline diagnostics that identify actionable improvements
- Scheduled benchmarks alert you when models regress or drift
- API access to integrate measurements into your applications
Drive it from your agent, over MCP
- Let your agent run the comparisons and read the results for you
- Work from where you already are: your IDE, chat, or console
- Over 40 tools your agent discovers automatically, no integration code
- Agentic recipes for model selection, drift checks, and optimization loops
$129/mo $10 for your first week
Then $129/mo. Cancel anytime.
The table lists the Claude models we support for evaluation, not Anthropic's full catalogue. Rates come from our live registry and are updated frequently. The scored runs are real: three models, two tasks, October 2026. Your own task will score differently, against your prompts and data.