Claude Sonnet 4.5
Azure AI Foundry chat Deprecates in 26d (Nov 30, 2026)model fallback routing to swap models without code changes.
Claude Sonnet 4.5 is an Azure AI Foundry chat model.It supports a 200,000-token context windowwith up to 64,000 output tokens.Input is priced at $3.00/M tokens and output at $15.00/M tokens. Capabilities include function calling, vision, reasoning, prompt caching. Route Claude Sonnet 4.5 via Future AGI's Agent Command Center for unified observability, caching, and 15 routing strategies including cost-optimized fallback.
Estimate Claude Sonnet 4.5 spend
Pick a workload, fine-tune the sliders, and see the monthly bill.
Estimate uses $3.00/M input · $15.00/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.
Kimi K2.6 (Azure AI Foundry) sits in the same Chatbot Arena tier (±80 ELO of Claude Sonnet 4.5) and runs ~70% cheaper for a typical RAG workload — $677/mo vs $2,283/mo at 3K in / 400 out · 5K reqs/day.
Quality match is gated on real benchmarks; the CTA disappears when no comparable peer exists.
Pricing
Per-token rates, expressed in USD per 1M tokens. Verified Oct 22, 2026.
| Input | $3.00/M | |
| Output | $15.00/M | |
| Blended (3:1 in:out) | $6.00/M Cross-model comparable price | |
| Cached input | $0.300/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 Sonnet 4.5
Data-driven from Claude Sonnet 4.5's percentile within chat peers.
Where it's strong
- +pricing — cheaper than 87% of priced chat models on Future AGI
- +PDF input — only 18% of chat models on Future AGI advertise this
Watch out for
- !scheduled deprecation on Nov 30, 2026 (26 days)
Benchmark scores
Reported public benchmark numbers. Each row links to the source. Faded bar shows 6-peer average for context.
Call Claude Sonnet 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 Sonnet 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="azure-ai-foundry/claude-sonnet-4-5",
messages=[{"role": "user", "content": "Hello, Claude Sonnet 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="azure-ai-foundry/claude-sonnet-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-sonnet-4-5
provider: azure-ai-foundry
weight: 80
fallbacks:
- model: kimi-k2-6
provider: azure-ai-foundry
- model: claude-fable-5
provider: anthropic
guardrails: [pii, prompt-injection, secrets]
cache: { exact: true, semantic: true } Same model on other providers
claude-sonnet-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 |
|---|---|---|---|
| Anthropic | $3.00/M | $15.00/M | Oct 22, 2026 |
| GitHub Copilot | — | — | Aug 6, 2026 |
| Google Vertex AI | $3.00/M | $15.00/M | Oct 22, 2026 |
| Snowflake Cortex | $3.00/M | $15.00/M | Oct 22, 2026 |
Explore similar models
Grouped by Chatbot Arena tier (Claude Sonnet 4.5 sits at 1456 ELO). Side-by-side links appear where a comparison page exists; otherwise, open the model profile.
- Claude Opus 4.7Azure AI Foundry · $5.00/M in · $25.00/M out · 1,000,000 ctxCompare side-by-side →
- Claude Opus 4.6Azure AI Foundry · $5.00/M in · $25.00/M out · 1,000,000 ctxCompare side-by-side →
- GPT-5.4Azure AI Foundry · $2.50/M in · $15.00/M out · 922,000 ctxCompare side-by-side →
- Claude Sonnet 4.6Azure AI Foundry · $3.00/M in · $15.00/M out · 1,000,000 ctxCompare side-by-side →
Arena ELO within −25, ≤70% of price
- Claude Opus 5.5Anthropic · $4.00/M in · $20.00/M out · 1,000,000 ctxCompare side-by-side →
- Claude Fable 5Anthropic · $10.00/M in · $50.00/M out · 1,000,000 ctxCompare side-by-side →
- Claude Fable 5.1Anthropic · $10.00/M in · $50.00/M out · 1,000,000 ctxCompare side-by-side →
- Claude Opus 4.6Anthropic · $5.00/M in · $25.00/M out · 1,000,000 ctxCompare side-by-side →
≥30 ELO higher
25–100 ELO lower, ≤50% of price
- Gemini 2.0 FlashGoogle AI · $0.1000/M in · $0.400/M out · 1,048,576 ctxView model →
- Gemini 2.5 Flash LiteGoogle AI · $0.1000/M in · $0.400/M out · 1,048,576 ctxView model →
- DeepSeek V3DeepSeek · $0.270/M in · $1.10/M out · 65,536 ctxView model →
- GPT-4.1 mini (2025-04-14)Azure OpenAI · $0.400/M in · $1.60/M out · 1,047,576 ctxView model →
FAQ
How much does Claude Sonnet 4.5 cost?
Input is priced at $3.00 per 1M tokens and output at $15.00 per 1M tokens (Azure AI Foundry, last verified Oct 22, 2026).
What is the context window of Claude Sonnet 4.5?
Claude Sonnet 4.5 supports a 200,000-token context window with up to 64,000 output tokens.
Does Claude Sonnet 4.5 support function calling?
Yes — Claude Sonnet 4.5 supports function (tool) calling.
Is Claude Sonnet 4.5 good for production?
Claude Sonnet 4.5 is well-suited for pricing — cheaper than 87% of priced chat models on Future AGI and PDF input — only 18% of chat models on Future AGI advertise this. Consider alternatives if you need scheduled deprecation on Nov 30, 2026 (26 days).
How can I route to Claude Sonnet 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 Sonnet 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.