AI Models · Open-Source vs Paid

MiniMax M3.1 Flash Open vs GPT-4o-mini (batch) Paid

MiniMax M3.1 Flash vs GPT-4o-mini (batch) compared — price per token, context window, multimodality, openness and which to choose. Can the open-source model replace the paid one? Full 2026 breakdown.

GPT-4o-mini (batch) — full profile ›

Prices & specs refreshed from live data · olud.ai

Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.

MiniMax M3.1 FlashOpenMiniMax

$0.15 /M input
$0.6 /M outputNo per-token fees if you self-host

TypeOpen-weight

Context window1M tokens

MultimodalYes

Self-hostYes

GPT-4o-mini (batch)PaidOpenAI

$0.08 /M input
$0.3 /M outputManaged API (no infra to run)

TypeProprietary

Context window128K tokens

MultimodalYes

Self-hostNo

Choose MiniMax M3.1 Flash if you want to self-host, keep your data private and skip per-token fees — it's open-weight and runs on your own hardware. Choose GPT-4o-mini (batch) if you want frontier capability through a managed API with zero infrastructure to run.

MiniMax M3.1 Flash vs GPT-4o-mini (batch) specs

Spec	MiniMax M3.1 Flash	GPT-4o-mini (batch)	Winner
Maker	MiniMax	OpenAI	–
Type	Open-weight	Proprietary	MiniMax M3.1 Flash
Context window	1M tokens	128K tokens	MiniMax M3.1 Flash
Input price	$0.15/M · free self-host	$0.08/M	GPT-4o-mini (batch)
Output price	$0.6/M · free self-host	$0.3/M	GPT-4o-mini (batch)
Vision / multimodal	Yes	Yes	= Tie
Tool / function calling	Yes	Yes	= Tie
Self-hostable	Yes	No (API only)	MiniMax M3.1 Flash
License	MIT	Proprietary	MiniMax M3.1 Flash

Price gap & when to choose each

2.0×cheaper per output token

GPT-4o-mini (batch) is ~2.0× cheaper than MiniMax M3.1 Flash on output tokens ($0.3 vs $0.6 per M tokens).

Choose MiniMax M3.1 Flash if…

You want to self-host or run on your cloud
You need the longer 1M context window
You prioritize data privacy & control
You are building open or reproducible AI

Choose GPT-4o-mini (batch) if…

You want frontier performance through a managed API
You want the lower output price
You value reliability & ecosystem
You don't want to manage infrastructure

Feature comparison

Capability	MiniMax M3.1 Flash	GPT-4o-mini (batch)
Open weights (downloadable)	✓	✗
Self-hostable	✓	✗
Runs fully offline	✓	✗
Vision / multimodal	✓	✓
Tool / function calling	✓	✓
1M+ context window	✓	✗

Benchmarks: MiniMax M3.1 Flash vs GPT-4o-mini (batch)

Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).

MiniMax M3.1 Flash delivers 6.4× more intelligence per dollar.

MiniMax M3.1 Flash

GPT-4o-mini (batch)

Intelligence index

42.7

6.7

Humanity's Last Exam

48%

4.2%

Long Context Reasoning

79.7%

–

SciCode

53.4%

–

Coding index

–

11.4

Math index

–

14.7

GPQA

–

42.6%

MMLU-Pro

–

64.8%

LiveCodeBench

–

23.4%

MATH-500

–

78.9%

AIME

–

11.7%

AIME 2025

–

14.7%

IFBench

–

31%

τ-Bench Banking

–

2.9%

Terminal-Bench

–

5.6%

Speed

103.1 tok/s

0 tok/s

Latency

1.05s

Intelligence per $

163

25.6

Benchmark data by Artificial Analysis.

How MiniMax M3.1 Flash and GPT-4o-mini (batch) score

🏆 Best value & openness: MiniMax M3.1 Flash (5.0 vs 3.2 / 5)

Criterion	MiniMax M3.1 Flash	GPT-4o-mini (batch)
Cost-efficiency	5.0	5.0
Context window	5.0	3.5
Openness	5.0	1.5
Self-hosting	5.0	1.0
Multimodality	5.0	5.0

Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.

What each model is

MiniMax M3.1 Flash Open

MiniMax · Open-weight

MiniMax-M3.1-Flash is a multimodal model from MiniMax. Compared with M3, it delivers significant improvements across multiple benchmarks, particularly in complex agentic tasks, coding, and cybersecurity. It is built for complex,...

GPT-4o-mini (batch) Paid

OpenAI · Proprietary

GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs. As their most advanced small model, it is many multiples more affordable...

Other models in these families

These variants are tracked but not compared here — one page per family keeps the comparison readable.

Other variants tracked

MiniMax M3MiniMax M2.7MiniMax M2.5MiniMax M2.1MiniMax M2MiniMax M1MiniMax M2-herMiniMax-01

Frequently asked questions

Is MiniMax M3.1 Flash as good as GPT-4o-mini (batch)?

MiniMax M3.1 Flash is open-weight and competitive on many tasks, but GPT-4o-mini (batch) may still lead on the hardest reasoning and agentic work. The gap keeps narrowing — benchmark both on your actual use case before deciding.

Can I run MiniMax M3.1 Flash locally?

Yes. MiniMax M3.1 Flash has open weights, so you can self-host it on your own GPUs or run it via a low-cost API. GPT-4o-mini (batch) is API-only and cannot be self-hosted.

MiniMax M3.1 Flash vs GPT-4o-mini (batch) — which should I pick in 2026?

Choose MiniMax M3.1 Flash if you want to self-host, keep your data private and skip per-token fees — it's open-weight and runs on your own hardware. Choose GPT-4o-mini (batch) if you want frontier capability through a managed API with zero infrastructure to run.

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