Relace Apply 3
by Relace · relace/relace-apply-3 · #178 cheapest of 325 paid models
Prices updated Jul 22, 2026, 1:33 AM UTC · refreshed hourly
Relace Apply 3 is a specialized code-patching LLM that merges AI-suggested edits straight into your source files. It can apply updates from GPT-4o, Claude, and others into your files at...
Compare vs:Claude Sonnet 5Claude Opus 4.6Claude Haiku 4.5GPT-5.6 Sol
Pricing
Input
$0.85
per 1M tokens
Output
$1.25
per 1M tokens
Blended (3:1)
$0.95
3 input : 1 output
Cache read
—
per 1M cached tokens
Cache write
—
per 1M tokens
Cache & batch economics
Effective prices for Relace Apply 3 (no cache-read rate published — hits billed as normal input).
| Cache hit rate | Effective blended $/1M | Example request* | vs no cache |
|---|---|---|---|
| 0% | $0.95 | $0.088 | — |
| 50% | $0.95 | $0.088 | −0% |
| 90% | $0.95 | $0.088 | −0% |
*Example: 100K sticky context + 2K new input + 1K output. Batch discount is an approximate 50% off list rates (available for OpenAI / Anthropic / Google — not flagged for this creator). Confirm on the vendor’s pricing page.
What a request costs
| Workload | Input tokens | Output tokens | Cost / request | Cost / 1K requests |
|---|---|---|---|---|
| Short chat message | 500 | 300 | $0.0008 | $0.8 |
| Document summary | 8,000 | 1,000 | $0.00805 | $8.05 |
| Codebase question (RAG) | 30,000 | 2,000 | $0.028 | $28.00 |
| Long-context analysis | 150,000 | 5,000 | $0.1338 | $133.75 |
Specs
Context window
256K
tokens
Max output
128K
tokens
Input modalities
text
Tokenizer
Other