Claude 3 Haiku API200K context

Pricing & specs mirror our live pricing as of July 2026 (pay-as-you-go).

What is Claude 3 Haiku?

Claude 3 Haiku is Anthropic's fastest and most compact model for near-instant responsiveness. Quick and accurate targeted performance. See the launch announcement and benchmark results [here](https://www.anthropic.com/news/claude-3-haiku) #multimodal

Claude 3 Haiku on the release timeline

Claude 3 Haiku pricing

Pay-as-you-go on DataLLM Lab — these are our live list prices (identical to the pricing page):

On output price, Claude 3 Haiku is cheaper than 54% of the 309 models in the catalog.

What Claude 3 Haiku costs per month

Cost = input price × input volume + output price × output volume. The same five workloads run on every model page, so any two compare directly.

Claude 3 Haiku vs alternatives

When not to use Claude 3 Haiku

• It is served by a single provider, so there is less failover headroom during an outage.

Specs

How to call Claude 3 Haiku

Copyfrom openai import OpenAI
client = OpenAI(base_url="https://api.datallmlab.com/v1", api_key="YOUR_DATALLM_LAB_KEY")
resp = client.chat.completions.create(
    model="anthropic/claude-3-haiku",
    messages=[{"role": "user", "content": "Hello"}],
    # supports tools=[...] and tool_choice
)
print(resp.choices[0].message.content)

Copycurl https://api.datallmlab.com/v1/chat/completions \
  -H "Authorization: Bearer YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"anthropic/claude-3-haiku","messages":[{"role":"user","content":"Hello"}]}'

Copyimport 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: "anthropic/claude-3-haiku",
  messages: [{ role: "user", content: "Hello" }],
});
console.log(r.choices[0].message.content);

The same key routes Claude 3 Haiku and 300+ other models — switch models by changing one string. How OpenAI-compatible APIs work.

Prompting tips for Claude 3 Haiku

• 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 — Claude 3 Haiku follows concrete instructions better than abstract ones.
• Huge 200K 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.
• It reads images. Send image parts alongside your text and ask for specific outputs (named JSON fields, a table, "what changed") rather than "describe this".
• Give it real tools. Pass a tools=[...] schema instead of asking it to "pretend" — let Claude 3 Haiku emit tool calls, execute them, and feed results back for the next turn.
• Structure with clear sections. Claude follows labeled blocks well — put the role in the system prompt and wrap long inputs in delimited tags like <context>…</context>.

Tips are derived from Claude 3 Haiku's actual capabilities — context window, tool & JSON support, modality and price tier — not generic advice.

Open-source tools for Claude 3 Haiku

Popular open-source frameworks and agents to build with Claude 3 Haiku 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 Claude 3 Haiku

Coming from OpenAI or another gateway? On an OpenAI-compatible setup the only changes are base_url → https://api.datallmlab.com/v1 and model → anthropic/claude-3-haiku. Messages, streaming, tool calls 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

Frequently asked questions