Claude Haiku 4.5
Google Vertex AI chat Deprecated 20d agomodel fallback routing to swap models without code changes.
Claude Haiku 4.5 is a Google Vertex AI chat model.It supports a 200,000-token context windowwith up to 64,000 output tokens.Input is priced at $1.00/M tokens and output at $5.00/M tokens. Capabilities include function calling, vision, reasoning, prompt caching. Route Claude Haiku 4.5 via Future AGI's Agent Command Center for unified observability, caching, and 15 routing strategies including cost-optimized fallback.
Estimate Claude Haiku 4.5 spend
Pick a workload, fine-tune the sliders, and see the monthly bill.
Estimate uses $1.00/M input · $5.00/M output. Provider pricing changes. Production costs vary with retries, streaming overhead, and tool-call rounds.
Want this for free? Cache + route via Agent Command Center — first 100K requests and 100K cache hits free every month.
Pricing
Per-token rates, expressed in USD per 1M tokens. Verified Oct 22, 2026.
| Input | $1.00/M | |
| Output | $5.00/M | |
| Blended (3:1 in:out) | $2.00/M Cross-model comparable price | |
| Cached input | $0.1000/M | |
| Batch input | $0.500/M | |
| Batch output | $2.50/M |
Context & limits
- Context window
- 200,000 tokens
- Max input
- 200,000 tokens
- Max output
- 64,000 tokens
- Modalities
- vision, pdf, text
Capabilities
- Function calling ✓ supported
- Parallel tool calls — not advertised
- Vision input ✓ supported
- Audio input — not advertised
- Audio output — not advertised
- PDF input ✓ supported
- Streaming ✓ supported
- Structured output ✓ supported
- Prompt caching ✓ supported
- Reasoning ✓ supported
Strengths & caveats — when to pick Claude Haiku 4.5
Data-driven from Claude Haiku 4.5's percentile within chat peers.
Where it's strong
- +PDF input — only 18% of chat models on Future AGI advertise this
Watch out for
- !already deprecated — provider stopped accepting new traffic 20 days ago
Benchmark scores
Reported public benchmark numbers. Each row links to the source. Faded bar shows 6-peer average for context.
Call Claude Haiku 4.5 via Agent Command Center
One OpenAI-compatible endpoint. Routing, fallback, semantic caching, guardrails, and cost tracking come along for the ride. First 100K requests + 100K cache hits free every month.
agentcc / @agentcc/client). Per-call metadata — provider, cost, latency, cache hit, request id — is returned on x-agentcc-* response headers, so any HTTP client can read it.# Claude Haiku 4.5 via the Agent Command Center Python SDK
# pip install agentcc
import os
from agentcc import AgentCC
client = AgentCC(
api_key=os.environ["AGENTCC_API_KEY"], # from app.futureagi.com → Settings → API Keys
base_url="https://gateway.futureagi.com/v1",
)
resp = client.chat.completions.create(
model="vertex-ai/claude-haiku-4-5",
messages=[{"role": "user", "content": "Hello, Claude Haiku 4.5!"}],
)
print(resp.choices[0].message.content)
print(f"Tokens: {resp.usage.total_tokens}")
# Per-call gateway metadata is returned on x-agentcc-* response headers.
# When you need it programmatically, use .with_raw_response to get them:
raw = client.chat.completions.with_raw_response.create(
model="vertex-ai/claude-haiku-4-5",
messages=[{"role": "user", "content": "Same call, but I want the headers."}],
)
print("Provider:", raw.headers.get("x-agentcc-provider"))
print("Latency:", raw.headers.get("x-agentcc-latency-ms"), "ms")
print("Cost: ", raw.headers.get("x-agentcc-cost"), "USD")
print("Cache: ", raw.headers.get("x-agentcc-cache"))AGENTCC_API_KEY with a key fromapp.futureagi.com.Gateway docs ↗Advanced: fallback + cache config (YAML) ▸
strategy: cost-optimized
targets:
- model: claude-haiku-4-5
provider: vertex-ai
weight: 80
fallbacks:
- model: gemini-3-1-flash-lite-preview
provider: vertex-ai
- model: glm-5-3-flash
provider: zai
guardrails: [pii, prompt-injection, secrets]
cache: { exact: true, semantic: true } Same model on other providers
claude-haiku-4-5 is also available via 4 other routes. Pricing, regions, and capabilities can differ — compare before routing production traffic.
| Provider | Input / 1M | Output / 1M | Verified |
|---|---|---|---|
| Azure AI Foundry | $1.00/M | $5.00/M | Oct 22, 2026 |
| Anthropic | $1.00/M | $5.00/M | Oct 22, 2026 |
| GitHub Copilot | $1.00/M | $5.00/M | Oct 22, 2026 |
| Snowflake Cortex | $1.00/M | $5.00/M | Oct 22, 2026 |
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≥30 ELO higher
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25–100 ELO lower, ≤50% of price
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- GPT-4o miniAzure OpenAI · $0.150/M in · $0.600/M out · 128,000 ctxView model →
FAQ
How much does Claude Haiku 4.5 cost?
Input is priced at $1.00 per 1M tokens and output at $5.00 per 1M tokens (Google Vertex AI, last verified Oct 22, 2026).
What is the context window of Claude Haiku 4.5?
Claude Haiku 4.5 supports a 200,000-token context window with up to 64,000 output tokens.
Does Claude Haiku 4.5 support function calling?
Yes — Claude Haiku 4.5 supports function (tool) calling.
Is Claude Haiku 4.5 good for production?
Claude Haiku 4.5 is well-suited for PDF input — only 18% of chat models on Future AGI advertise this. Consider alternatives if you need already deprecated — provider stopped accepting new traffic 20 days ago.
How can I route to Claude Haiku 4.5 with fallback?
Use Agent Command Center: a single OpenAI-compatible endpoint that supports cost-optimized routing, latency-aware retries, model fallback, and shadow traffic. Configure once, swap models without app changes.
Useful links for Claude Haiku 4.5
Official sources, independent benchmarks, and pricing aggregators — no random search-engine guesses.
Third-party evals — verify the marketing.
Cross-check our number against the rest of the ecosystem.