Claude Opus 4.7 Pricing — API Cost Breakdown (May 2026)
Claude Opus 4.7 pricing: $5.00/$25.00 per 1M tokens (input/output). Context window: 1M. Best for complex reasoning, research, multi-step analysis. 70% cheaper than previous Opus generations.
Pricing Overview
| Metric | Value |
|---|---|
| Input price (per 1M tokens) | $5.00 |
| Output price (per 1M tokens) | $25.00 |
| Context window | 1M tokens |
| Speed (typical) | 30 tok/s |
| Provider | Anthropic |
Cost for Common Tasks
| Task | Input Tokens | Output Tokens | Cost |
|---|---|---|---|
| 1-page summary | ~800 | ~400 | $0.0140 |
| 10K token conversation | ~8,000 | ~2,000 | $0.0900 |
| Batch of 1,000 API calls | ~500K | ~500K | $15.0000 |
Claude Opus 4 vs Alternatives
| Model | Input (per 1M) | Output (per 1M) | Context | Speed | Quality |
|---|---|---|---|---|---|
| Claude Opus 4.7 | $5.00 | $25.00 | 1M | 30 tok/s | 95/100 |
| GPT-4o | $2.50 | $10.00 | 128K | 90 tok/s | 90/100 |
| Claude Sonnet 4.6 | $3.00 | $15.00 | 1M | 80 tok/s | 88/100 |
| Gemini 2.5 Pro | $1.25 | $10.00 | 1M | 100 tok/s | 87/100 |
When to Use Claude Opus 4
- Best for: complex reasoning, research, multi-step analysis
- Context window: 1M tokens — suitable for long documents, entire codebases, book-length content
- Speed: 30 tok/s — better for batch/async tasks
- Quality: 95/100 — top-tier, frontier-class
- Note: Opus 4.7 uses a new tokenizer that may generate up to 35% more tokens for the same input text, so effective cost per request can be higher than per-token pricing suggests
API Code Example with Cost Calculation
import anthropic
client = anthropic.Anthropic()
response = client.messages.create(
model="claude-opus-4-20260514",
max_tokens=1024,
messages=[{"role": "user", "content": "Summarize this document..."}]
)
# Cost calculation
input_tokens = response.usage.input_tokens
output_tokens = response.usage.output_tokens
cost = (input_tokens / 1_000_000) * 5 + (output_tokens / 1_000_000) * 25
print(f"Tokens: {input_tokens} in / {output_tokens} out")
print(f"Cost: {cost:.6f}")
# Typical 1-page summary: ~$0.0140Monthly Cost Estimates
| Usage Level | Daily Tokens (in/out) | Monthly Cost |
|---|---|---|
| Light (personal project) | 50K / 25K | $26.25 |
| Medium (small SaaS) | 500K / 250K | $262.50 |
| Heavy (production app) | 5M / 2.5M | $2625.00 |
FAQ
How much does Claude Opus 4.7 cost per API call?
A typical Claude Opus 4.7 API call with 1K input and 500 output tokens costs approximately $0.0175. Pricing is $5.00 per 1M input tokens and $25.00 per 1M output tokens. Note that Opus 4.7's new tokenizer may generate up to 35% more tokens for the same text.
Is Claude Opus 4.7 worth the price?
Claude Opus 4.7 scores approximately 95/100 on aggregate benchmarks. It is best suited for complex reasoning, research, multi-step analysis. At $5.00/$25.00 per 1M tokens (70% cheaper than previous Opus), it offers excellent value for its quality tier.
What are cheaper alternatives to Claude Opus 4.7?
Top alternatives: GPT-4o at $2.50/$10.00, Claude Sonnet 4.6 at $3.00/$15.00, Gemini 2.5 Pro at $1.25/$10.00. Use KickLLM's calculator to compare costs for your specific workload.
Prices last verified: May 2026. Pricing may change -- always check provider websites for current rates.
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