API cost decision in 10 seconds

🔥Claude Opus 4.7 vs 🔥Claude Opus 4.6

The standard workload cost is tied; choose by context window, provider fit, latency, or model quality.

Pricing data updated:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

The standard workload cost is tied; choose by context window, provider fit, latency, or model quality.

Both models are estimated at $17.5 for the standard 1M input plus 500K output workload.

Cost-first pickTie
Context-first pickBoth models
Sample savings$00%
10x traffic gap$0

Context-window winner: Both models. Cost does not separate this pair on the standard workload, so the next decision point is context window and model behavior.

Cheaper input Tie $5 vs $5 / 1M

Both models report the same input price at $5 per 1M tokens.

Cheaper output Tie $25 vs $25 / 1M

Both models report the same output price at $25 per 1M tokens.

Larger context Tie 1M vs 1M

Both models report the same context window at 1M tokens.

Sample workload Tie $17.5 vs $17.5

Both models have the same estimated cost for the standard 1M input plus 500K output workload: $17.5.

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Claude Opus 4.7 Calculating… Estimated API cost
Claude Opus 4.6 Calculating… Estimated API cost
Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

both models tie on input price; both models tie on output price; both models report the same context window. For the 1M input plus 500K output sample, the standard workload cost is tied.

For a 1M input token plus 500K output token workload, the estimated API cost is $17.5 for Claude Opus 4.7 and $17.5 for Claude Opus 4.6.

Best Fit

Choose Claude Opus 4.7 when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Choose Claude Opus 4.6 when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Decision Notes
  • Both models are estimated at $17.5 for the standard 1M input plus 500K output workload.
  • Both models have the same estimated cost for the standard 1M input plus 500K output workload: $17.5.
  • Both models report the same input price at $5 per 1M tokens.
  • Both models report the same output price at $25 per 1M tokens.
  • Both models report the same context window at 1M tokens.
Head-to-Head Specs
Feature🔥Claude Opus 4.7
(Anthropic)
🔥Claude Opus 4.6
(Anthropic)
Input Price
prompt tokens per 1M
$5$5
Completion Price
per 1M tokens
$25$25
Sample Workload Cost
1M input + 500K output
$17.5$17.5
Context Window1M1M
Release Date
Popularity Rank
current rank
#3#11

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionTieBoth models are estimated at $17.5 for the standard 1M input plus 500K output workload.
High-volume input processingTieLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsTieLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workTieA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • Claude 3 Haiku can replace Claude Opus 4.7 when lower sample workload cost matters most: $0.88.
  • Claude 3.5 Haiku can replace Claude Opus 4.7 when lower sample workload cost matters most: $2.8.
  • Anthropic Claude Haiku Latest can replace Claude Opus 4.7 when lower sample workload cost matters most: $3.5.
  • Claude Haiku 4.5 can replace Claude Opus 4.7 when lower sample workload cost matters most: $3.5.
Larger context near this budget
  • Llama 4 Scout offers 10M context with $0.23 sample workload cost.
  • Grok 4.20 Multi-Agent offers 2M context with $5 sample workload cost.
  • Grok 4.20 offers 2M context with $2.5 sample workload cost.
  • GPT-5.5 offers 1.05M context with $20 sample workload cost.

Cheaper alternatives

Review low-cost models ranked by a standard 1M input plus 500K output workload.

Open cheapest models

Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

Open largest context models

Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

Open provider hubs

Anthropic catalog

Review all tracked Anthropic models before deciding whether this matchup is the right shortlist.

Open Anthropic models
Claude Opus 4.7

Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on...

Claude Opus 4.6

Opus 4.6 is Anthropic’s strongest model for coding and long-running professional tasks. It is built for agents that operate across entire workflows rather than single prompts, making it especially effective...