Claude Opus 4.6
Azure AI Foundry chat Deprecates in 90d (Feb 2, 2027)model fallback routing to swap models without code changes.
Claude Opus 4.6 is an Azure AI Foundry chat model.It supports a 1,000,000-token context windowwith up to 128,000 output tokens.Input is priced at $5.00/M tokens and output at $25.00/M tokens. Capabilities include function calling, vision, reasoning, prompt caching. Route Claude Opus 4.6 via Future AGI's Agent Command Center for unified observability, caching, and 15 routing strategies including cost-optimized fallback.
Estimate Claude Opus 4.6 spend
Pick a workload, fine-tune the sliders, and see the monthly bill.
Estimate uses $5.00/M input · $25.00/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 | $5.00/M | |
| Output | $25.00/M | |
| Blended (3:1 in:out) | $10.00/M Cross-model comparable price | |
| Cached input | $0.500/M |
Context & limits
- Context window
- 1,000,000 tokens
- Max input
- 1,000,000 tokens
- Max output
- 128,000 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 Opus 4.6
Data-driven from Claude Opus 4.6's percentile within chat peers.
Where it's strong
- +pricing — cheaper than 93% of priced chat models on Future AGI
- +long-context tasks — context window in the top 11% of peers
- +PDF input — only 18% of chat models on Future AGI advertise this
Watch out for
- !scheduled deprecation on Feb 2, 2027 (90 days)
Benchmark scores
Reported public benchmark numbers. Each row links to the source.
Call Claude Opus 4.6 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 Opus 4.6 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-opus-4-6",
messages=[{"role": "user", "content": "Hello, Claude Opus 4.6!"}],
)
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-opus-4-6",
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-opus-4-6
provider: azure-ai-foundry
weight: 80
fallbacks:
- model: gemini-4-argon
provider: google
- model: claude-opus-5-5
provider: anthropic
guardrails: [pii, prompt-injection, secrets]
cache: { exact: true, semantic: true } Same model on other providers
claude-opus-4-6 is also available via 2 other routes. Pricing, regions, and capabilities can differ — compare before routing production traffic.
| Provider | Input / 1M | Output / 1M | Verified |
|---|---|---|---|
| Anthropic | $5.00/M | $25.00/M | Oct 22, 2026 |
| Google Vertex AI | $5.00/M | $25.00/M | Oct 22, 2026 |
Explore similar models
Grouped by Chatbot Arena tier (Claude Opus 4.6 sits at 1497 ELO). Side-by-side links appear where a comparison page exists; otherwise, open the model profile.
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FAQ
How much does Claude Opus 4.6 cost?
Input is priced at $5.00 per 1M tokens and output at $25.00 per 1M tokens (Azure AI Foundry, last verified Oct 22, 2026).
What is the context window of Claude Opus 4.6?
Claude Opus 4.6 supports a 1,000,000-token context window with up to 128,000 output tokens.
Does Claude Opus 4.6 support function calling?
Yes — Claude Opus 4.6 supports function (tool) calling.
Is Claude Opus 4.6 good for production?
Claude Opus 4.6 is well-suited for pricing — cheaper than 93% of priced chat models on Future AGI and long-context tasks — context window in the top 11% of peers. Consider alternatives if you need scheduled deprecation on Feb 2, 2027 (90 days).
How can I route to Claude Opus 4.6 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 Opus 4.6
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.