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minimax-m3.1-flash

MiniMax/Proprietary/1 provider

MiniMax M3.1 Flash is a fast multimodal model in the MiniMax M3 family, built for agentic cowork automation, coding and visual tasks. It scores 72.5% on AutomationBench AA (best among open models), 73.67% on DeepSWE, 91.0 on BabyVision with tools, 82.5 on CharXiv RQ, 56% on AA Omniscience and 48% on HLE. Supports image input, tool calling, structured JSON output, reasoning and prompt caching. Ideal for multi step workflows, coding agents, frontend and presentation generation, and professional analysis at low cost.More
Compare 1 endpointAll models →

Which id to call

minimax-m3.1-flash

Requesty routes this id across every provider serving minimax-m3.1-flash, picking on price and health and failing over automatically. The id stays valid when a provider changes underneath it.

From /1M input

$0.15

MiniMax

Context

1M

128K output

Endpoints

1

1 region

Regions

1

chat

Capabilities 5/8

VisionReasoningTool callingCachingWeb searchJSON schemaComputer useImage generation

1 endpoint / 1 region

Providers serving minimax-m3.1-flash

Provider prices, per 1M tokens. Pay as you go adds 5%, or 0% on your own keys.

Providers serving minimax-m3.1-flash, with pricing and measured performance. The best value in each column is highlighted.
RankPrivacy
1MiniMaxGlobal1M$0.15$0.60$0.01zdr

A column is blank where no qualifying sample exists, and every row links to that provider's endpoint page.

model=

Which id to call

One base url, https://router.requesty.ai/v1, and one key for every id here.

minimax-m3.1-flash

Requesty routes this id across every provider serving minimax-m3.1-flash, picking on price and health and failing over automatically. The id stays valid when a provider changes underneath it.

OpenAI compatible

Call it in three lines

Change the base url, use your Requesty key, set the model to any id on the left. Existing OpenAI SDK code needs no other edit.

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from openai import OpenAI

client = OpenAI(
    api_key="YOUR_REQUESTY_API_KEY",
    base_url="https://router.requesty.ai/v1",
)

response = client.chat.completions.create(
    model="minimax-m3.1-flash",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

print(response.choices[0].message.content)

Artificial Analysis

Benchmark scores

Intelligence Indexreasoning
42.7%

Artificial Analysis Intelligence Index: a composite of multiple evaluations measuring overall model capability.

Scores from artificialanalysis.ai. They measure the model, not the provider, so they are the same on every endpoint above.

6

More from MiniMax

minimax-m3

1.0M ctx/from $0.30/4 providers

minimax-m2.7-highspeed

205K ctx/from $0.60/2 providers

minimax-m2.7

200K ctx/from $0.30/2 providers

minimax-m2.5

200K ctx/from $0.28/4 providers

minimax-m2.5-highspeed

200K ctx/from $0.60/1 provider

minimax-m2

200K ctx/from $0.30/1 provider

Reference

minimax-m3.1-flash questions

Which providers serve minimax-m3.1-flash?

minimax-m3.1-flash is available from 1 provider through Requesty: MiniMax. All endpoints share one OpenAI-compatible API and one key, and Requesty fails over between them automatically.

How much does minimax-m3.1-flash cost?

Pricing starts at $0.15 per million input tokens and $0.60 per million output tokens on MiniMax, the cheapest endpoint. Prices vary by provider and region; the table above shows every endpoint. Those are the upstream provider rates: pay as you go adds 5% on top, or 0% if you bring your own provider keys.

Is minimax-m3.1-flash open weights?

No. minimax-m3.1-flash is a proprietary model from MiniMax, served through MiniMax's own API and licensed cloud platforms.

What is the context window of minimax-m3.1-flash?

minimax-m3.1-flash supports up to 1M tokens of context, with up to 128K output tokens per response. Some providers expose a smaller window; check the per-endpoint context column above.

How do I use minimax-m3.1-flash with the OpenAI SDK?

Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "minimax-m3.1-flash" or any endpoint id from the table above. The quickstart section shows Python, JavaScript and cURL snippets.

Should I call minimax-m3.1-flash by its managed id or a provider id?

Use the managed id, "minimax-m3.1-flash". Requesty picks which of the 1 provider serves each request based on price and health, and fails over when one degrades, so the id keeps working while the routing changes underneath it. Send a provider id like "minimaxi/minimax-m3.1-flash" only when you need one specific deployment and want no failover.

Route minimax-m3.1-flash through one endpoint

One key for 1 provider on this model and 600+ others. No markup on provider prices, automatic failover, caching built in.

Benchmark rankings