MAI Code 1.1 Flash
Azure AI Foundry chat Deprecates in 35d (Dec 9, 2026)model fallback routing to swap models without code changes.
MAI Code 1.1 Flash is an Azure AI Foundry chat model.It supports a 256,000-token context windowwith up to 64,000 output tokens.Input is priced at $0.200/M tokens and output at $1.20/M tokens. Capabilities include function calling, vision, reasoning, prompt caching. Route MAI Code 1.1 Flash via Future AGI's Agent Command Center for unified observability, caching, and 15 routing strategies including cost-optimized fallback.
Estimate MAI Code 1.1 Flash spend
Pick a workload, fine-tune the sliders, and see the monthly bill.
Estimate uses $0.2000/M input · $1.20/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 | $0.200/M | |
| Output | $1.20/M | |
| Blended (3:1 in:out) | $0.450/M Cross-model comparable price | |
| Cached input | $0.0200/M |
Context & limits
- Context window
- 256,000 tokens
- Max input
- 256,000 tokens
- Max output
- 64,000 tokens
- Modalities
- vision, text
Capabilities
- Function calling ✓ supported
- Parallel tool calls — not advertised
- Vision input ✓ supported
- Audio input — not advertised
- Audio output — not advertised
- PDF input — not advertised
- Streaming ✓ supported
- Structured output — not advertised
- Prompt caching ✓ supported
- Reasoning ✓ supported
Strengths & caveats — when to pick MAI Code 1.1 Flash
Data-driven from MAI Code 1.1 Flash's percentile within chat peers.
Where it's strong
- +multi-step reasoning and analysis tasks
- +agentic workflows that depend on reliable tool calls
- +document, chart, and screenshot understanding
- +repeated long-context prompts (caching saves up to 90% on input cost)
Watch out for
- !strict structured output — no JSON-schema enforcement, expect retry loops
- !scheduled deprecation on Dec 9, 2026 (35 days)
Benchmarks pending
We haven't logged public benchmark scores for MAI Code 1.1 Flash yet. Have one to contribute? Submit a source — citations help us prioritise.
Call MAI Code 1.1 Flash 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.# MAI Code 1.1 Flash 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/mai-code-1-1-flash",
messages=[{"role": "user", "content": "Hello, MAI Code 1.1 Flash!"}],
)
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/mai-code-1-1-flash",
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 ↗Same model on other providers
mai-code-1-1-flash is also available via 1 other route. Pricing, regions, and capabilities can differ — compare before routing production traffic.
| Provider | Input / 1M | Output / 1M | Verified |
|---|---|---|---|
| GitHub Copilot | $0.200/M | $1.20/M | Oct 22, 2026 |
Explore similar models
MAI Code 1.1 Flash doesn't have a public Arena ELO score yet, so we group by provider only — quality-tier comparisons need a benchmark. Side-by-side links appear where a comparison page exists; otherwise, open the model profile.
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FAQ
How much does MAI Code 1.1 Flash cost?
Input is priced at $0.200 per 1M tokens and output at $1.20 per 1M tokens (Azure AI Foundry, last verified Oct 22, 2026).
What is the context window of MAI Code 1.1 Flash?
MAI Code 1.1 Flash supports a 256,000-token context window with up to 64,000 output tokens.
Does MAI Code 1.1 Flash support function calling?
Yes — MAI Code 1.1 Flash supports function (tool) calling.
Is MAI Code 1.1 Flash good for production?
MAI Code 1.1 Flash is well-suited for multi-step reasoning and analysis tasks and agentic workflows that depend on reliable tool calls. Consider alternatives if you need strict structured output — no JSON-schema enforcement, expect retry loops.
How can I route to MAI Code 1.1 Flash 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 MAI Code 1.1 Flash
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.