Relace Apply 3 API256K context
Relace Apply 3 is a specialized code-patching LLM that merges AI-suggested edits straight into your source files.
Pricing & specs mirror our live pricing as of July 2026 (pay-as-you-go).
What is Relace Apply 3?
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 pricing
Pay-as-you-go on DataLLM Lab — these are our live list prices (identical to the pricing page):
| Model | Input / 1M | Output / 1M | Cache read | Cache write | Context |
|---|---|---|---|---|---|
| Relace Apply 3 | $0.85 | $1.25 | — | — | 256K |
On output price, Relace Apply 3 is cheaper than 54% of the 309 models in the catalog.
What Relace Apply 3 costs per month
| Workload | Tokens in / out (monthly) | Est. cost |
|---|---|---|
| Support chatbot | 40M / 12M | $49.00 |
| RAG / knowledge base | 200M / 20M | $195 |
| Coding agent | 80M / 25M | $99.25 |
| Batch extraction | 150M / 8M | $138 |
| Content generation | 20M / 40M | $67.00 |
Estimate your own monthly cost
Cost = input price × input volume + output price × output volume. The same five workloads run on every model page, so any two compare directly.
Relace Apply 3 vs alternatives
| Model | Input / 1M | Output / 1M | Context | Our test |
|---|---|---|---|---|
| Relace Apply 3 | $0.85 | $1.25 | 256K | — |
| Relace Search | $1.00 | $3.00 | 256K | — |
| Claude 3 Haiku | $0.25 | $1.25 | 200K | — |
| ERNIE 4.5 VL 424B A47B | $0.42 | $1.25 | 131K | — |
| Cogito v2.1 671B | $1.25 | $1.25 | 128K | — |
When not to use Relace Apply 3
- It is served by a single provider, so there is less failover headroom during an outage.
Specs
| Model ID | relace/relace-apply-3 |
| Modality | text->text (input: text) |
| Context window | 256,000 tokens |
| Max output | 128,000 tokens |
| Tool / function calling | — |
| Structured output (JSON) | — |
| Released | 2025-09-26 |
| Open weights | — (hosted API only) |
How to call Relace Apply 3
from openai import OpenAI
client = OpenAI(base_url="https://api.datallmlab.com/v1", api_key="YOUR_DATALLM_LAB_KEY")
resp = client.chat.completions.create(
model="relace/relace-apply-3",
messages=[{"role": "user", "content": "Hello"}],
)
print(resp.choices[0].message.content)curl https://api.datallmlab.com/v1/chat/completions \
-H "Authorization: Bearer YOUR_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"relace/relace-apply-3","messages":[{"role":"user","content":"Hello"}]}'import OpenAI from "openai";
const client = new OpenAI({ baseURL: "https://api.datallmlab.com/v1", apiKey: process.env.DATALLM_KEY });
const r = await client.chat.completions.create({
model: "relace/relace-apply-3",
messages: [{ role: "user", content: "Hello" }],
});
console.log(r.choices[0].message.content);The same key routes Relace Apply 3 and 300+ other models — switch models by changing one string. How OpenAI-compatible APIs work.
Prompting tips for Relace Apply 3
- Be explicit and show the shape of the answer. Spell out format, tone and constraints up front, and include one short example of the output you want — Relace Apply 3 follows concrete instructions better than abstract ones.
- Huge 256K context — but anchor the ask. You can paste whole documents or codebases; models attend most to the start and end, so put the key instruction at the top and restate it after long inputs.
Tips are derived from Relace Apply 3's actual capabilities — context window, tool & JSON support, modality and price tier — not generic advice.
Open-source tools for Relace Apply 3
Popular open-source frameworks and agents to build with Relace Apply 3 over the API — star counts pulled from GitHub (July 2026).
Listed by GitHub stars; inclusion is by ecosystem relevance (agent frameworks, SDKs and gateways), not affiliation. Stars change — see each repo for current numbers.
Migrating to Relace Apply 3
Coming from OpenAI or another gateway? On an OpenAI-compatible setup the only changes are base_url → https://api.datallmlab.com/v1 and model → relace/relace-apply-3. Messages, streaming and the rest of your code stay the same. Routing & failover guide.
Rate limits & reliability
Rate limits here are the DataLLM Lab gateway's, not the upstream vendor's. On 429 (rate limited) or 503 (provider busy), retry with exponential backoff. See the error-code guide and failover setup.
Related reading
Call Relace Apply 3 with one key
300+ models behind one OpenAI-compatible endpoint — better prices, better uptime, no subscriptions.
Get an API keyCompare pricingFrequently asked questions
What is Relace Apply 3?
Relace Apply 3 is a specialized code-patching LLM that merges AI-suggested edits straight into your source files. It accepts text input with a 256K-token context window and was released on 2025-09-26. On DataLLM Lab it is callable through one OpenAI-compatible endpoint.
How much does Relace Apply 3 cost?
On DataLLM Lab it is $0.85 per 1M input tokens and $1.25 per 1M output tokens — cheaper than about 54% of the 309-model catalog on output price. Pay-as-you-go, no subscription.
What is the context window of Relace Apply 3?
256K tokens, with up to 128K max output tokens.
Is Relace Apply 3 open source?
No open weights are published — it is available through hosted API access only.
How do I call the Relace Apply 3 API?
Point any OpenAI SDK at https://api.datallmlab.com/v1 and set model to "relace/relace-apply-3". One DataLLM Lab key routes this model and 300+ others; no code changes beyond the base URL and model string.
What are good alternatives to Relace Apply 3?
Close options by price and capability include Relace Search, Claude 3 Haiku, ERNIE 4.5 VL 424B A47B — all callable with the same DataLLM Lab key.