Claude Haiku 4.5
GitHub Copilot chatClaude Haiku 4.5 is a GitHub Copilot chat model.It supports a 128,000-token context windowwith up to 16,000 output tokens. Capabilities include function calling, vision. Route Claude Haiku 4.5 via Future AGI's Agent Command Center for unified observability, caching, and 15 routing strategies including cost-optimized fallback.
We don't have verified per-token pricing for Claude Haiku 4.5 yet. If you have a source from GitHub Copilot's documentation, help us add it — your submission gets reviewed within 48 hours.
Pricing
Per-token rates, expressed in USD per 1M tokens. Verified May 12, 2026.
| Input | — | |
| Output | — |
Limits
- Context window
- 128,000 tokens
- Max input
- 128,000 tokens
- Max output
- 16,000 tokens
- Modalities
- vision, text
Capabilities
- Function calling ✓ supported
- Parallel tool calls ✓ supported
- Vision input ✓ supported
- Audio input — not advertised
- Audio output — not advertised
- PDF input — not advertised
- Streaming ✓ supported
- Structured output — not advertised
- Prompt caching — not advertised
- Reasoning — not advertised
Where it's strong
- +parallel tool calls — only 21% of chat models on Future AGI advertise this
Watch out for
- !strict structured output — no JSON-schema enforcement, expect retry loops
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="github-copilot/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="github-copilot/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: github-copilot
weight: 80
fallbacks:
- model: deepseek-r1
provider: azure-ai-foundry
- model: gemini-2-5-flash
provider: vertex-ai
guardrails: [pii, prompt-injection, secrets]
cache: { exact: true, semantic: true } Same model on other providers
claude-haiku-4-5 is also available via 3 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 | May 12, 2026 |
| Anthropic | $1.00/M | $5.00/M | May 12, 2026 |
| Google Vertex AI | $1.00/M | $5.00/M | May 12, 2026 |
Compare with similar models
Grouped by Chatbot Arena tier (Claude Haiku 4.5 sits at 1310 ELO).
≥30 ELO higher
- Claude Opus 4.6Azure AI Foundry · $5.00/M in · $25.00/M out · 200,000 ctx
- Claude Opus 4.6 (2026-02-05)Anthropic · $5.00/M in · $25.00/M out · 1,000,000 ctx
- Gemini 3.1 Pro previewGoogle Vertex AI · $2.00/M in · $12.00/M out · 1,048,576 ctx
- Claude Opus 4.7Azure AI Foundry · $5.00/M in · $25.00/M out · 200,000 ctx
FAQ
How much does Claude Haiku 4.5 cost?
Public per-token pricing for Claude Haiku 4.5 is not yet published. Submit a source on this page to help us add it.
What is the context window of Claude Haiku 4.5?
Claude Haiku 4.5 supports a 128,000-token context window with up to 16,000 output tokens.
Does Claude Haiku 4.5 support function calling?
Yes — Claude Haiku 4.5 supports function (tool) calling, including parallel tool calls.
Is Claude Haiku 4.5 good for production?
Claude Haiku 4.5 is well-suited for parallel tool calls — only 21% of chat models on Future AGI advertise this. Consider alternatives if you need strict structured output — no JSON-schema enforcement, expect retry loops.
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.