Anthropic

Claude Opus 4.7 (Non-reasoning, High Effort)

AI model by Anthropic. Real-time pricing and benchmark data.

Pricing (per 1M tokens)

Input$5.00
Output$25.00
Blended (3:1)$10.00

Source: Artificial Analysis

Performance

Output Speed47 tok/s
Time to First Token1730ms

Median values from Artificial Analysis

Benchmarks

Editorial Analysis

Profile. Claude Opus 4.7 (Non-reasoning, High Effort) is a premium-tier model from Anthropic at $25.00/M output tokens. Benchmark scores (see above) suggest it targets workloads where correctness matters more than cost — long-running agents, code generation at scale, and complex multi-step reasoning.

Latency. On latency, Claude Opus 4.7 (Non-reasoning, High Effort) reports 47 tok/s output speed and 1730ms time-to-first-token. Output speed is on the slower end; for real-time chat consider pairing with a streaming front-end or routing latency-sensitive requests to a faster model.

Cost model. For a workload of 1M input tokens + 100K output tokens, Claude Opus 4.7 (Non-reasoning, High Effort) costs $7.50 per million input-equivalent requests. Multiply by your monthly request volume to project the bill, and compare against the speed/correctness profile above to decide if the trade-off is worth it for your workload.

Editorial summary generated from public pricing and benchmark data (Artificial Analysis API). All numbers are sourced — see the Artificial Analysis methodology for benchmark definitions. Last refreshed 2026-08-05.

Compare with similar models

ModelInputOutputSpeed
Claude Opus 4.7 (Non-reasoning, High Effort)Current
$5.00$25.0047 tok/s
GPT-5.6 Sol (low)
$5.00$30.0064 tok/s
GPT-5.5 (xhigh)
$5.00$30.0087 tok/s
Grok 3
$4.00$20.00
GPT-5.5 (medium)
$5.00$30.0074 tok/s
GPT-5.6 Sol (medium)
$5.00$30.0064 tok/s

Example Costs

Single Request
$0.0175
1.0K in / 500 out
1K Requests/day
$17.50
1.0M in / 500.0K out
10K Requests/day
$175.00
10.0M in / 5.0M out