MAI-Code-1.1-Flash
Fresh input / cached input / output cost breakdown, active and scheduled rates, provenance, same-model deployment markup, and cost-comparable alternatives for this purchasable lane.
Illustrative workloads
Pick a useful starting shape, then fine-tune every input below.
Workload and pricing scenario
Adjust the token shape, cache behavior, time window, and service tier. Every number below updates immediately.
Workload cost calculator
Share of input tokens served from cache. Applied only to models with a cache meter.
Rows with a rate that changes by time of day, promo window or service tier are priced for this scenario instead of their flat listed rate; a brand-colored label under the model name names which one applies. Context size for band-priced rows uses the input-token count below.
Picking a specific hour also previews time-of-day rates that are scheduled but have not started billing yet; those rows are labelled · preview with their start instant. Now only ever shows rates that are billable at this moment.
What this lane charges right now
Priced under the workload and scenario above. The full published schedule below always shows every variant regardless of which scenario is selected.
Where this workload's cost goes
60M input tokens (90% cache hit) and 210K output tokens, at the resolved rate above.
$1.20 + $1.08 + $0.252 = $2.53
How much to trust these numbers
Microsoft Foundry Global Standard lane. The commercial majority excludes two higher-priced US Government regions; the model is a lightweight coding model rather than a general-purpose reasoning lane.
Azure Retail Prices API, serviceName 'Foundry Models', productName 'MAI Models', captured 2026-09-17: effective 2026-09-01 meters 'Code 1.1 Flash Input glbl 1M Tokens' at $0.20/M, 'Code 1.1 Flash Cd Input glbl 1M Tokens' at $0.02/M, and 'Code 1.1 Flash Output Glbl 1M Tokens' at $1.20/M across 35 commercial regions. The same meters carry two US Government rows at $0.25/$0.025/$1.50, excluded from the commercial-majority lane. Microsoft AI's official August 11 announcement identifies MAI-Code-1.1-Flash as Microsoft's coding model and says it is in production in GitHub Copilot.
Same-model deployment markup
How much this Foundry lane costs over the same model's Direct API rate.
Not available — no Direct API listing exists for this exact model in the catalog.
Other lanes within ±25% of this workload's cost
Same provider first, then ranked by cost proximity, for 60M in / 210K out. This is a cost ranking only — never a quality recommendation.
- GPT-5.6 LunaOpenAI / Azure OpenAIFoundry ·Global$2.53CHF 2.04$0.00 (0%) vs this lane
- DeepSeek-V4 FlashDeepSeek · Fireworks-hostedFoundry ·Data Zone$2.59CHF 2.08+$0.053 (+2%) vs this lane
- GLM-5.3-FlashGLM · Z.ai direct APIDirect API$2.62CHF 2.11+$0.093 (+4%) vs this lane
- GPT-6 Luna Long ContextOpenAI / Azure OpenAI · OpenAI direct APIDirect API$2.44CHF 1.96-$0.094 (-4%) vs this lane
- GPT-6 Luna Long ContextOpenAI / Azure OpenAIFoundry ·Global$2.44CHF 1.96-$0.094 (-4%) vs this lane
- GPT-6 Luna Long ContextOpenAI / Azure OpenAIFoundry ·Data Zone$2.68CHF 2.16+$0.149 (+6%) vs this lane