MAI-Image-2.6-Flash
vercel/mai-image-2-6-flashPor vercel · familia: mai · lanzado 2026-10-13
⚠ Este es un ajuste fino de la comunidad o un derivado — no un lanzamiento oficial del editor.
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
Capacidades
Model fit scores
0–100 · higher is betterThese scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.
Coding1
- Tool calling0/40
- Structured output0/20
- Reasoning0/10
- Context window (100K → 1M)0/20
- Provider availability1/10
Agents1
- Tool calling0/35
- Structured output0/25
- Reasoning0/15
- Output token limit0/15
- Provider availability1/10
JSON / structured output0
- Structured output / JSON mode0/50
- Tool calling0/20
- Temperature control0/10
- Price-friendly for high-volume0/20
Cost efficiency30
- Headline price (log-scaled)30/95
- Has prompt-cache pricing0/5
Long context0
- Context ≥ 100K0/100
Vision61
- Accepts image input50/50
- Context window (10K → 1M)0/30
- Has published price10/10
- Provider availability1/10
Production-readiness35
- Number of independent providers5/40
- Has published per-token price20/20
- Context window ≥ 8K0/15
- No data inconsistencies across providers10/10
- Official model (not derivative)0/15
Cost Efficiency Index
Open full calculator →Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.
| Scenario | Cost | Assumption |
|---|---|---|
RAG answer per 1,000 RAG answers | $18.25 $0.02 per request | 5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot. |
Support ticket triage per 10,000 tickets | $36.50 < $0.01 per request | 1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support. |
Data extraction per 1,000 documents | $13.00 $0.01 per request | 2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines. |
Code review per 1,000 PRs | $33.00 $0.03 per request | 8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads. |
Agent step per 1,000 steps | $32.40 $0.03 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
Detalle de precios
Precio recomendado de vercel · microsoft/mai-image-2.6-flash
Disponible en 1 proveedores
| Proveedor | ID de modelo del proveedor | Entrada / 1M | Salida / 1M | Contexto | Lanzado |
|---|---|---|---|---|---|
| Vercel AI Gateway vercel | microsoft/mai-image-2.6-flash | $1.75 | $19.00 | Unknown | 2026-10-13 |
Frequently asked questions
How much does MAI-Image-2.6-Flash cost?
MAI-Image-2.6-Flash costs $1.75 per 1M input tokens and $19.00 per 1M output tokens, sourced from vercel. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.
Does MAI-Image-2.6-Flash support tool calling?
No. MAI-Image-2.6-Flash does not support tool calling (function calling). If your workflow requires it, look at the /capabilities/tool-calling list for alternatives.
Does MAI-Image-2.6-Flash support structured output / JSON mode?
Support for structured output / JSON-schema-constrained decoding is not reported for MAI-Image-2.6-Flash in our data source. Verify with vercel's official documentation before relying on it in production.
Can MAI-Image-2.6-Flash accept image input?
Yes. MAI-Image-2.6-Flash accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check vercel's docs for the exact rule.
Is MAI-Image-2.6-Flash open-weight?
No. MAI-Image-2.6-Flash is a proprietary model — only vercel (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.
What are the best alternatives to MAI-Image-2.6-Flash?
If MAI-Image-2.6-Flash doesn't fit, consider Titan Text Embeddings V2, Nova 2 Lite, Nova Lite. Each one targets the same use case — see the Related links below for direct head-to-head pages.
Where does this data come from?
All numbers are normalised into a single canonical model record and reconciled with each provider's official documentation. We re-pull daily and write any changes (price, context, capability) to the /changelog page.
Explore more
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Capability lists this model is in
Última actualización:
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.