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Daily blended price ($/1M) — recorded each day, builds into a trend over time.
Typical 3:1 output-to-input mix, per 1M tokens
Price as of 2026-05-11 · Source: relace_reference_catalog
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
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...
relace-apply-3 is a Text model from Relace (US). HotON.ai tracks it at $0.85 per 1M input tokens and $1.25 per 1M output tokens, with a 256K-token context window. Its composite efficiency score is 90/100 at an estimated $0.002 per successful task.
relace-apply-3 is tracked at $0.85 per 1M input tokens and $1.25 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $1.15 per 1M tokens. Figures are illustrative demo data.
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
relace-apply-3 supports up to a 256K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, relace-apply-3 is cheaper than 33% of models on input price and ranks #79 of 535 by overall efficiency.
Yes — minimax-m2.1 is a lower-cost option at $0.95 per 1M output tokens, while still covering similar Text use cases. Compare them side by side on HotON.ai.
Ready to paste into articles, papers or AI prompts — prices and date refresh with the live data.
HotON.ai — relace-apply-3 (Relace): $0.85/1M input, $1.25/1M output, as of 2026-05-11. https://hoton.ai/en/models/relace-relace-apply-3Pricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Efficiency is a modeled composite of real price and context.