Weaver (alpha) API8K context
An attempt to recreate Claude-style verbosity, but don't expect the same level of coherence or memory.
Pricing & specs mirror our live pricing as of July 2026 (pay-as-you-go).
What is Weaver (alpha)?
An attempt to recreate Claude-style verbosity, but don't expect the same level of coherence or memory. Meant for use in roleplay/narrative situations.
Weaver (alpha) 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 |
|---|---|---|---|---|---|
| Weaver (alpha) | $0.75 | $1.00 | — | — | 8K |
On output price, Weaver (alpha) is cheaper than 60% of the 309 models in the catalog.
What Weaver (alpha) costs per month
| Workload | Tokens in / out (monthly) | Est. cost |
|---|---|---|
| Support chatbot | 40M / 12M | $42.00 |
| RAG / knowledge base | 200M / 20M | $170 |
| Coding agent | 80M / 25M | $85.00 |
| Batch extraction | 150M / 8M | $121 |
| Content generation | 20M / 40M | $55.00 |
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.
Weaver (alpha) vs alternatives
| Model | Input / 1M | Output / 1M | Context | Our test |
|---|---|---|---|---|
| Weaver (alpha) | $0.75 | $1.00 | 8K | — |
| Hermes 3 405B Instruct | $1.00 | $1.00 | 131K | — |
| Sonar | $1.00 | $1.00 | 127K | — |
| Qwen2.5 Coder 32B Instruct | $0.66 | $1.00 | 128K | — |
When not to use Weaver (alpha)
- It is served by a single provider, so there is less failover headroom during an outage.
- Its 8K context is small — not ideal for large documents or big codebases.
Specs
| Model ID | mancer/weaver |
| Modality | text->text (input: text) |
| Context window | 8,000 tokens |
| Max output | 2,000 tokens |
| Tool / function calling | — |
| Structured output (JSON) | ✅ Yes |
| Released | 2023-08-02 |
| Knowledge cutoff | 2023-06-30 |
| Open weights | — (hosted API only) |
How to call Weaver (alpha)
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="mancer/weaver",
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":"mancer/weaver","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: "mancer/weaver",
messages: [{ role: "user", content: "Hello" }],
});
console.log(r.choices[0].message.content);The same key routes Weaver (alpha) and 300+ other models — switch models by changing one string. How OpenAI-compatible APIs work.
Prompting tips for Weaver (alpha)
- 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 — Weaver (alpha) follows concrete instructions better than abstract ones.
- Constrain JSON with a schema. Use
response_format/ structured outputs rather than "reply in JSON" to get valid, parseable objects every time.
Tips are derived from Weaver (alpha)'s actual capabilities — context window, tool & JSON support, modality and price tier — not generic advice.
Open-source tools for Weaver (alpha)
Popular open-source frameworks and agents to build with Weaver (alpha) 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 Weaver (alpha)
Coming from OpenAI or another gateway? On an OpenAI-compatible setup the only changes are base_url → https://api.datallmlab.com/v1 and model → mancer/weaver. 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 Weaver (alpha) 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 Weaver (alpha)?
An attempt to recreate Claude-style verbosity, but don't expect the same level of coherence or memory. It accepts text input with a 8K-token context window and was released on 2023-08-02. On DataLLM Lab it is callable through one OpenAI-compatible endpoint.
How much does Weaver (alpha) cost?
On DataLLM Lab it is $0.75 per 1M input tokens and $1.00 per 1M output tokens — cheaper than about 60% of the 309-model catalog on output price. Pay-as-you-go, no subscription.
What is the context window of Weaver (alpha)?
8K tokens, with up to 2K max output tokens.
Is Weaver (alpha) open source?
No open weights are published — it is available through hosted API access only.
How do I call the Weaver (alpha) API?
Point any OpenAI SDK at https://api.datallmlab.com/v1 and set model to "mancer/weaver". 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 Weaver (alpha)?
Close options by price and capability include Hermes 3 405B Instruct, Sonar, Qwen2.5 Coder 32B Instruct — all callable with the same DataLLM Lab key.