Now on VeniceLLMReasoningAnonymous

Claude Haiku 5.5

Anthropic's fastest, cheapest Claude — 1M-token context, vision, tool use and adaptive thinking, built for high-volume agent work.

For agents
curl https://api.venice.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $VENICE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "claude-haiku-5-5",
    "messages": [{ "role": "user", "content": "Explain quantum tunneling simply." }]
  }'
Model IDclaude-haiku-5-5
Maker
Anthropic
Context
1,000K tokens
Reasoning
Supported
Privacy
Anonymous

Overview

What is Claude Haiku 5.5

Claude Haiku 5.5 is Anthropic's fastest and most cost-efficient small model, released on October 7, 2026. Built for high-volume, latency-sensitive work — classification, extraction, routing, and subagent tasks — it combines a 1M-token context window with vision, tool use, reasoning, and web search at a fraction of its predecessor's cost.

Using it anonymously on Venice

On Venice, Claude Haiku 5.5 runs under the anonymized privacy tier: your prompts are not stored, profiled, or used for training — a meaningful difference from the Big-Tech default of logging every API call. You pay per token with no subscription, and the full capability set (vision, function calling, web search, structured output) is available through the Venice app or the OpenAI-compatible API. One honest caveat: this tier is anonymized but not end-to-end encrypted or TEE-isolated, so Venice can serve the model but cannot read your prompts into any lasting record.

AnonymousNo prompt trainingTEE · hardware enclaveEnd-to-end encrypted

Agent quickstart

Three calls, copied straight out

The API is OpenAI-compatible: change the base URL and the model id and existing client code works unchanged.

Streaming chat

curl https://api.venice.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $VENICE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "claude-haiku-5-5",
    "stream": true,
    "messages": [{ "role": "user", "content": "Draft the release note." }]
  }'

Tool calling

curl https://api.venice.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $VENICE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "claude-haiku-5-5",
    "messages": [{ "role": "user", "content": "Find the rate limits." }],
    "tools": [{
      "type": "function",
      "function": {
        "name": "search_docs",
        "description": "Search the API documentation.",
        "parameters": {
          "type": "object",
          "properties": { "query": { "type": "string" } },
          "required": ["query"]
        }
      }
    }],
    "tool_choice": "auto"
  }'

Python SDK

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["VENICE_API_KEY"],
    base_url="https://api.venice.ai/api/v1",
)

resp = client.chat.completions.create(
    model="claude-haiku-5-5",
    messages=[{"role": "user", "content": "Build without permission."}],
)
print(resp.choices[0].message.content)

Specifications

Datasheet

Maker
Anthropic
Modality
Text in/out, image input (vision)
Open weights
No — proprietary
License
Proprietary
Modes
Adaptive thinking with an effort parameter (default: medium)
Context window
1,000K tokens
Input images
Supported, including multiple images per prompt; accepted formats and size limits not published
Released
October 7, 2026
Knowledge cutoff
June 2026
Max output
128K tokens
Capabilities
Vision, Function calling, Reasoning, Web search, Code-optimized
Privacy on Venice
Anonymized — prompts not stored
Available on Venice since
Oct 2026

Assessment

Strengths and limitations

Strengths
  • Anthropic's fastest model to date, purpose-built for latency-sensitive loops like live support, routing, and browser use.
  • First Haiku with adaptive thinking: an effort parameter lets you trade response quality against speed and cost per call.
  • Genuinely capable as an agent, not just a classifier: Anthropic reports 72.4% on the OSWorld 2.1 offline subset and 1620 Elo on GDPval-AA, both far ahead of Haiku 4.5.
  • Full Claude capability stack: vision with multiple image inputs, function calling, structured JSON output, web search, and code-optimized tuning.
  • Extremely cheap at volume: $0.13/$0.63 per 1M tokens on Venice, with cached input at $0.01/1M, and roughly 75% cheaper on average than Haiku 4.5 by Anthropic's own accounting.
  • 1M-token context handles whole-codebase and long-document workloads that used to require a mid-tier model.
Limitations
  • Closed and proprietary: no open weights, so self-hosting and fine-tuning are off the table.
  • Not an uncensored model: Anthropic's safety classifiers can decline requests (clients must handle stop_reason "refusal"), so sensitive or edgy prompts may be refused where Venice's open models would not.
  • Not a Sonnet or Opus replacement for hard agentic coding — third-party coverage cites 39.2% on Terminal-Bench 4.0 versus Sonnet 5.5's 70.6%.
  • Reduced prompt control versus older Claude models: temperature, top_p, and top_k return errors, assistant-message prefill is no longer allowed, and manual budget_tokens thinking was removed.
  • The new tokenizer counts roughly 30% more tokens for the same text than Haiku 4.5, which eats into some of the headline savings.
  • On Venice this model is anonymized but not end-to-end encrypted or TEE-hosted — if you need hardware-isolated privacy, Venice's open-weight models are the stronger pick.

Use cases

What it is good for

  1. 01High-volume classification, extraction, and routing pipelines where per-token cost dominates.
  2. 02Subagent duties under Claude Sonnet or Opus — quick edits, lookups, and summaries inside a bigger coding loop.
  3. 03Latency-sensitive customer support and chatbot backends.
  4. 04Long-document summarization and conversation compaction across the full 1M-token window.
  5. 05Vision-driven data extraction from multiple images or screenshots in a single prompt.
  6. 06Browser-use and computer-use agents that need fast, cheap decision-making.

Prompting

Getting better results

Set the effort parameter deliberately: low or medium for routing and classification, high only for genuinely hard subagent reasoning — it directly trades quality against speed and cost.

End every messages array with a user turn — assistant prefill now returns an error, so restructure prompts that relied on it.

Omit temperature, top_p, and top_k entirely; non-default sampling parameters return errors on this model.

Cache your system prompt and few-shot examples — cached input on Venice bills at $0.01 per 1M tokens versus $0.13 uncached.

Batch multiple screenshots or documents into one prompt; multiple image inputs are supported and beat sequential calls on both latency and price.

Budget tokens with the new tokenizer in mind: the same text counts roughly 30% more tokens than on Haiku 4.5, so recheck prompts sitting near context or cost thresholds.

Alternatives

How it compares

ModelBest forContextOpen weightsPrice (Venice)
Claude Haiku 5.5High-volume, latency-sensitive agent work1M tokensNo$0.13 in · $0.63 out / 1M
Gemini 3.8 FlashFast everyday multimodal tasks1M tokensNo$0.94 in · $4.69 out / 1M
Qwen 3.7 PlusBudget long-context chat1M tokensNo$0.50 in · $2 out / 1M
Kimi K3Open-weight long-context reasoning1M tokensYes$3.75 in · $18.75 out / 1M
Claude Sonnet 4.6Heavy agentic coding1M tokensNo$3.60 in · $18 out / 1M

Claude Haiku 5.5 is the right pick when you need Claude-grade instruction-following and agent behavior at the lowest per-token price on Venice — classification, extraction, routing, and subagent loops at volume. For complex agentic coding, step up to Sonnet or Opus; for open weights, Kimi K3 is the alternative.

Pricing

What it costs on Venice

Billed per token on Venice: $0.13 per 1M input tokens and $0.63 per 1M output tokens.

Input / 1M tokens
$0.13
Per 1M tokens
Output / 1M tokens
$0.63
Per 1M tokens
Cached input / 1M
$0.01
Per 1M tokens

New Venice accounts include a free daily allowance and 500 welcome credits — no credit card required.

Getting a key

From nothing to a first call

  1. 01

    Create a key in API settings. Nothing else is required to start.

  2. 02

    Export it as VENICE_API_KEY so the snippets above run unedited.

  3. 03

    Point an existing OpenAI client at https://api.venice.ai/api/v1. The scheme is part of the value: an OpenAI client given a bare host does not resolve it.

  4. 04

    Pass claude-haiku-5-5 as the model and send the request.

FAQ

Frequently asked questions

Claude Haiku 5.5 is Anthropic's fastest and cheapest small model, released October 7, 2026. It targets high-volume, latency-sensitive work — classification, extraction, routing, summaries, and subagent tasks — with a 1M-token context window, 128K max output, vision, tool use, adaptive thinking, and web search.

Venice bills Claude Haiku 5.5 per token: $0.13 per 1M input tokens, $0.63 per 1M output tokens, and just $0.01 per 1M cached input tokens. There is no subscription required — you pay only for what you use.

You can try Claude Haiku 5.5 on Venice without a subscription; Venice's free daily prompt allowance covers text models, and heavier usage is billed per token in credits. Check your account's current daily allowance for exact numbers.

No. Claude Haiku 5.5 is proprietary to Anthropic with no open weights, so it cannot be self-hosted or fine-tuned. If open weights matter, Kimi K3 (1M context) or Google Gemma 4 31B Instruct on Venice are the closest alternatives.

Yes to both. Claude Haiku 5.5 supports function calling, structured JSON output, vision with multiple image inputs per prompt, web search, and dedicated browser-use and computer-use toolsets — the full agentic stack, unusual at this price tier.

No. Unlike Venice's open-weight models, Claude Haiku 5.5 runs Anthropic's safety classifiers and can decline requests with a refusal stop reason. If you need an uncensored model, pick one of Venice's open or uncensored options instead.

Both are fast 1M-context models, but Claude Haiku 5.5 is significantly cheaper on Venice ($0.13/$0.63 versus $0.94/$4.69 per 1M tokens) and stronger on agent benchmarks. Gemini 3.8 Flash makes sense if you're already invested in Google's tooling; for cost-sensitive volume work, Haiku wins.

Venice runs it under the anonymized privacy tier: prompts are not stored, profiled, or used for training, and nothing ties your usage to a personal history. Note this tier is anonymized rather than end-to-end encrypted or TEE-isolated — Venice's open-weight models offer the strongest hardware-level isolation.

Anthropic released Claude Haiku 5.5 on October 7, 2026, and Venice listed it the same day. It succeeds Claude Haiku 4.5 (October 2025) as the third Haiku-class generation.

Use Claude Haiku 5.5 anonymously

One key, free to start, no credit card.

Start chat