Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)

GPT-4o vs MiniMax: MiniMax M2.1 benchmark

Name: GPT-4o vs MiniMax: MiniMax M2.1 AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares GPT-4o (OpenAI) and MiniMax: MiniMax M2.1 (MiniMax) using the latest snapshots we have as of Aug 17, 2026. MiniMax: MiniMax M2.1 wins on output price at $1.2/1M. MiniMax: MiniMax M2.1 has the larger context window (205k tokens). Every cell below is a dated snapshot from a named public source — we do not invent missing scores, and we do not run SWE-bench ourselves.

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OpenAI

GPT-4o

Previous OpenAI flagship. Still a common compare baseline on legacy pages.

Elo 1,335$10/1M out

MiniMax

MiniMax: MiniMax M2.1

Auto-discovered from OpenRouter (minimax/minimax-m2.1). Preview until a second source matches.

$1.2/1M out

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Instant pairwise benchmark recalculation across 400+ LLMs

Model A

Model B

Quick vs:vs Claude Opus 4.5 vs Claude Opus 4.6 vs Claude Sonnet 4.5 vs Claude 3.7 Sonnet

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

GPT-4o (6)vsMiniMax: MiniMax M2.1 (3)

GPT-4o: 6W (67%)Overall: GPT-4oMiniMax: MiniMax M2.1: 3W (33%)

← GPT-4oMiniMax: MiniMax M2.1 →

GPT-4o (4/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo

1,335vs—

Coding Elo

—vs—

SWE-bench

54.8%vs—

LiveBench

54.2%vs—

GPQA Diamond

73.2%vs—

GPT-4o: 4WMiniMax: MiniMax M2.1: 0W

GPT-4o (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

110 tok/svs—

Time to first token

180 msvs—

GPT-4o: 2WMiniMax: MiniMax M2.1: 0W

MiniMax: MiniMax M2.1 (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$10/1Mvs$1.2/1M

Input price

$2.5/1Mvs$0.3/1M

Context window

128kvs205k

GPT-4o: 0WMiniMax: MiniMax M2.1: 3W

Capability Matchup Radar

Multi-Dimensional Capability Radar

Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.

Tap any node to inspect

Percentile 0–100

Dimensional AdvantageGPT-4o 4/6

Preference Elo

No shared data

Throughput Speed

No shared data

Token Price Efficiency

MiniMax: MiniMax M2.1

$8.80/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,335

EloHigh is better

—

LiveBench

High is better

54.2%

LiveBenchHigh is better

—

SWE-bench

High is better

54.8%

SWE-benchHigh is better

—

GPQA

High is better

73.2%

GPQAHigh is better

—

TTFT

Low is better

180 ms

TTFTLow is better

—

Speed

High is better

110 tok/s

SpeedHigh is better

—

In $

Low is better

$2.50 / 1M

In $Low is better

$0.30 / 1M+733%

Out $

Low is better

$10.00 / 1M

Out $Low is better

$1.20 / 1M+733%

Context

High is better

128k

ContextHigh is better

205k+60%

Interactive Simulator (USD)

Workload Cost & Savings Calculator

Simulate monthly production API costs in USD (US Dollar).

Save up to 88% with MiniMax: MiniMax M2.1

Monthly Volume50M tokens/mo

Quick Presets:

Token Ratio (In vs Out)70% In / 30% Out

RAG / Search (10% out)Coding / Chat (50% out)

GPT-4o$237.50 / mo

In: $87.5Out: $150

MiniMax: MiniMax M2.1$28.50 / mo

In: $10.5Out: $18

Estimated Cost Delta

MiniMax: MiniMax M2.1 is estimated to save $209.00/month ($2,508/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
MiniMax: MiniMax M2.1:Pick MiniMax: MiniMax M2.1 when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatMiniMax: MiniMax M2.1

Lower output list price ($1.2/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGMiniMax: MiniMax M2.1

Larger window (205k).

Screenshots / visionGPT-4o

GPT-4o is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	MiniMax: MiniMax M2.1	Lower output list price ($1.2/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	MiniMax: MiniMax M2.1	Larger window (205k).
Screenshots / vision	GPT-4o	GPT-4o is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news

newsMay 13, 2024

GPT-4o stays as the 2024 compare anchor people still search

Deprecated for buying. Kept because “4o vs sonnet” is still a typed query.

Community Sentiment

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CompareLLM Matrix

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LIVE

OpenAI

GPT-4o

Elo 1,335

LiveBench54.2%

SWE-bench54.8%

Speed110 tok/s

Output cost$10/1M

MiniMax

MiniMax: MiniMax M2.1

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost$1.2/1M

Frequently Asked Questions

Which is better overall, GPT-4o or MiniMax: MiniMax M2.1?: We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, GPT-4o or MiniMax: MiniMax M2.1?: SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?: MiniMax: MiniMax M2.1 output tokens are $1.2/1M versus $10/1M. Input prices and retry rates still move the real bill.
Which is faster, GPT-4o or MiniMax: MiniMax M2.1?: We do not have TTFT for both models.
Which has the larger context window?: MiniMax: MiniMax M2.1 accepts 205k tokens versus 128k.
Can I self-host either model?: Neither model is marked open-weights here. You are comparing hosted APIs.
Are these scores from CompareLLM’s own evals?: No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.
What does preference Elo mean on this page?: Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. GPT-4o and MiniMax: MiniMax M2.1 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All GPT-4o matchups →|All MiniMax: MiniMax M2.1 matchups →

GPT-4o vs GPT-4 Turbo (previous gpt-flagship)GPT-4o vs OpenAI: o1 (next gpt-flagship)GPT-5 vs GPT-4o GPT-4.5 Orion vs GPT-4o GPT-5.6 Sol vs GPT-4o GPT-5.6 Terra vs GPT-4o

GPT-4o vs MiniMax: MiniMax M2.1 benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

GPT-4o (6)vsMiniMax: MiniMax M2.1 (3)

GPT-4o: 6W (67%)Overall: GPT-4oMiniMax: MiniMax M2.1: 3W (33%)

← GPT-4oMiniMax: MiniMax M2.1 →

GPT-4o (4/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo

1,335vs—

Coding Elo

—vs—

SWE-bench

54.8%vs—

LiveBench

54.2%vs—

GPQA Diamond

73.2%vs—

GPT-4o: 4WMiniMax: MiniMax M2.1: 0W

GPT-4o (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

110 tok/svs—

Time to first token

180 msvs—

GPT-4o: 2WMiniMax: MiniMax M2.1: 0W

MiniMax: MiniMax M2.1 (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$10/1Mvs$1.2/1M

Input price

$2.5/1Mvs$0.3/1M

Context window

128kvs205k

GPT-4o: 0WMiniMax: MiniMax M2.1: 3W

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatMiniMax: MiniMax M2.1

Lower output list price ($1.2/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGMiniMax: MiniMax M2.1

Larger window (205k).

Screenshots / visionGPT-4o

GPT-4o is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	MiniMax: MiniMax M2.1	Lower output list price ($1.2/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	MiniMax: MiniMax M2.1	Larger window (205k).
Screenshots / vision	GPT-4o	GPT-4o is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, GPT-4o or MiniMax: MiniMax M2.1?

We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.

Which is better at coding, GPT-4o or MiniMax: MiniMax M2.1?

SWE-bench is missing for at least one model, so we do not rank coding from a single number.

Which is cheaper to run in production?

MiniMax: MiniMax M2.1 output tokens are $1.2/1M versus $10/1M. Input prices and retry rates still move the real bill.

Which is faster, GPT-4o or MiniMax: MiniMax M2.1?

We do not have TTFT for both models.

Which has the larger context window?

MiniMax: MiniMax M2.1 accepts 205k tokens versus 128k.

Can I self-host either model?

Neither model is marked open-weights here. You are comparing hosted APIs.

Are these scores from CompareLLM’s own evals?

No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.

What does preference Elo mean on this page?

Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. GPT-4o and MiniMax: MiniMax M2.1 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

No shared data

No shared data

MiniMax: MiniMax M2.1

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

GPT-4o stays as the 2024 compare anchor people still search

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

GPT-4o

MiniMax: MiniMax M2.1

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

No shared data

No shared data

MiniMax: MiniMax M2.1

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

GPT-4o stays as the 2024 compare anchor people still search

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

GPT-4o

MiniMax: MiniMax M2.1

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons