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

GPT-4 Turbo vs MiniMax: MiniMax M2 benchmark

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

In this head-to-head showdown, MiniMax: MiniMax M2 is more budget-friendly at $1.02/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

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Executive Verdict Summary

MiniMax: MiniMax M2 holds empirical advantage (3 of 3 metrics)

Coding / SWESWE-bench

GPT-4 TurboTop code solve rate

ReasoningGPQA / Live

GPT-4 TurboTop logical accuracy

Best Value$/1M Tok

MiniMax: MiniMax M2Lowest API billing cost

Speed / TokTok/Sec

GPT-4 TurboFastest stream rate

Verified Advantage Breakdown

3 benchmarks evaluated across capability, speed, and cost

GPT-4 Turbo (0)MiniMax: MiniMax M2 (3)

GPT-4 Turbo

0 of 3 Wins

Competitive baseline across remaining benchmarks

MiniMax: MiniMax M2

3 of 3 Wins

✓Input price✓Output price✓Context window

OpenAI

GPT-4 Turbo

GPT-4 Turbo 128k. Historical flagship for gpt-4 turbo vs gpt-4o / gpt-5.

Elo 1,255In: $10 · Out: $30/1M

MiniMax

Leads 3 of 3

MiniMax: MiniMax M2

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

In: $0.255 · Out: $1.02/1M

Top Rival Showdowns for GPT-4 Turbo

All Matchups

Compare vs:vs Claude Opus 4.5 vs Gemini 3 Pro vs Grok 4.6 vs DeepSeek V4 Pro vs Qwen 3 Max

Preference Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar LeaderMiniMax: MiniMax M2 Wins

MiniMax: MiniMax M2

$1.02 / 1M output

Capability Percentiles

Relative percentile scores computed across all active models in the benchmark catalog.

Multi-Dimensional Capability Radar

Leaders Matchup Capability Radar

Comparing top standard models across 6 key capability dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect

0–100 %ile

Overall Matchup Breakdown

Category wins across reasoning intelligence, generation speed, and token cost.

GPT-4 Turbo (6)vsMiniMax: MiniMax M2 (3)

GPT-4 Turbo: 6W (67%)MiniMax: MiniMax M2: 3W (33%)

← GPT-4 TurboMiniMax: MiniMax M2 →

🏆GPT-4 Turbo Leads(4/5)

Intelligence & Reasoning

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

Benchmark

GPT-4 TurbovsMiniMax: MiniMax M2

Preference Elo

1,255vs—

Coding Elo

—vs—

SWE-bench

33.2%vs—

LiveBench

47%vs—

GPQA Diamond

48%vs—

GPT-4 Turbo: 4WMiniMax: MiniMax M2: 0W

🏆GPT-4 Turbo Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark

GPT-4 TurbovsMiniMax: MiniMax M2

Output speed

55 tok/svs—

Time to first token

350 msvs—

GPT-4 Turbo: 2WMiniMax: MiniMax M2: 0W

🏆MiniMax: MiniMax M2 Leads(3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark

GPT-4 TurbovsMiniMax: MiniMax M2

Output price

$30/1Mvs$1.02/1M+$28.98/1M

Input price

$10/1Mvs$0.255/1M+$9.745/1M

Context window

128kvs205k+77k

GPT-4 Turbo: 0WMiniMax: MiniMax M2: 3W

Side-by-Side Benchmark Matrix

GPT-4 TurboMiniMax: MiniMax M2

Preference Elo

GPT-4 Turbo1,255

MiniMax: MiniMax M2—

LiveBench

GPT-4 Turbo47%

MiniMax: MiniMax M2—

SWE-bench

GPT-4 Turbo33.2%

MiniMax: MiniMax M2—

GPQA Diamond

GPT-4 Turbo48%

MiniMax: MiniMax M2—

Time to first token

GPT-4 Turbo350 ms

MiniMax: MiniMax M2—

Output speed

GPT-4 Turbo55 tok/s

MiniMax: MiniMax M2—

Input priceMiniMax: MiniMax M2 +$9.745/1M

GPT-4 Turbo$10/1M

MiniMax: MiniMax M2$0.255/1M

Output priceMiniMax: MiniMax M2 +$28.98/1M

GPT-4 Turbo$30/1M

MiniMax: MiniMax M2$1.02/1M

Context windowMiniMax: MiniMax M2 +77k

GPT-4 Turbo128k

MiniMax: MiniMax M2205k

Benchmark	GPT-4 Turbo	MiniMax: MiniMax M2	Advantage Delta
Preference Elo	1,255 lmarena · Aug 17, 2026	—	—
LiveBench	47% livebench · Aug 17, 2026	—	—
SWE-bench	33.2% swebench · Aug 17, 2026	—	—
GPQA Diamond	48% seed-bootstrap · Aug 1, 2026	—	—
Time to first token	350 ms seed-bootstrap · Aug 1, 2026	—	—
Output speed	55 tok/s seed-bootstrap · Aug 1, 2026	—	—
Input price	$10/1M openrouter · Aug 17, 2026	$0.255/1M openrouter · Aug 17, 2026	+$9.745/1M
Output price	$30/1M openrouter · Aug 17, 2026	$1.02/1M openrouter · Aug 17, 2026	+$28.98/1M
Context window	128k openrouter · Aug 17, 2026	205k openrouter · Aug 17, 2026	+77k

Workload Cost & Savings Calculator

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

Save 97% with MiniMax: MiniMax M2

Monthly Volume50M tokens/mo

Quick Presets:

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

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

GPT-4 Turbo$800.00 / mo

In: $350Out: $450

MiniMax: MiniMax M2$24.23 / mo

In: $8.93Out: $15.3

Estimated Cost Delta

MiniMax: MiniMax M2 is estimated to save $775.78/month ($9,309/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

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

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatMiniMax: MiniMax M2

Lower output list price ($1.02/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGMiniMax: MiniMax M2

Larger window (205k).

Screenshots / visionGPT-4 Turbo

GPT-4 Turbo 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	Lower output list price ($1.02/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	MiniMax: MiniMax M2	Larger window (205k).
Screenshots / vision	GPT-4 Turbo	GPT-4 Turbo is the side marked multimodal in the catalog.

Cast Your Matchup Vote

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Community Discussions (0)

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK

OpenAI

GPT-4 Turbo

Elo 1,255

SWE-bench33.2%

Speed (tok/s)55 tok/s

Input / 1M Tokens$10/1M

Output / 1M Tokens$30/1M

MiniMax

MiniMax: MiniMax M2

Elo n/a

SWE-bench—

Speed (tok/s)205k

Input / 1M Tokens$0.255/1M

Output / 1M Tokens$1.02/1M

Frequently Asked Questions

Which is better overall, GPT-4 Turbo or MiniMax: MiniMax M2?: 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-4 Turbo or MiniMax: MiniMax M2?: 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 output tokens are $1.02/1M versus $30/1M. Input prices and retry rates still move the real bill.
Which is faster, GPT-4 Turbo or MiniMax: MiniMax M2?: We do not have TTFT for both models.
Which has the larger context window?: MiniMax: MiniMax M2 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-4 Turbo and MiniMax: MiniMax M2 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All GPT-4 Turbo matchups →|All MiniMax: MiniMax M2 matchups →

GPT-4 Turbo vs GPT-4o (next gpt-flagship)GPT-5 vs GPT-4 Turbo GPT-4.5 Orion vs GPT-4 Turbo GPT-5.6 Sol vs GPT-4 Turbo GPT-5.6 Terra vs GPT-4 Turbo GPT-4o mini vs GPT-4 Turbo

Capability Percentiles

Relative percentile scores computed across all active models in the benchmark catalog.

Multi-Dimensional Capability Radar

Leaders Matchup Capability Radar

Comparing top standard models across 6 key capability dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect

0–100 %ile

Side-by-Side Benchmark Matrix

GPT-4 TurboMiniMax: MiniMax M2

Preference Elo

GPT-4 Turbo1,255

MiniMax: MiniMax M2—

LiveBench

GPT-4 Turbo47%

MiniMax: MiniMax M2—

SWE-bench

GPT-4 Turbo33.2%

MiniMax: MiniMax M2—

GPQA Diamond

GPT-4 Turbo48%

MiniMax: MiniMax M2—

Time to first token

GPT-4 Turbo350 ms

MiniMax: MiniMax M2—

Output speed

GPT-4 Turbo55 tok/s

MiniMax: MiniMax M2—

Input priceMiniMax: MiniMax M2 +$9.745/1M

GPT-4 Turbo$10/1M

MiniMax: MiniMax M2$0.255/1M

Output priceMiniMax: MiniMax M2 +$28.98/1M

GPT-4 Turbo$30/1M

MiniMax: MiniMax M2$1.02/1M

Context windowMiniMax: MiniMax M2 +77k

GPT-4 Turbo128k

MiniMax: MiniMax M2205k

Benchmark

GPT-4 Turbo

MiniMax: MiniMax M2

Advantage Delta

Preference Elo

1,255

lmarena · Aug 17, 2026

—

LiveBench

47%

livebench · Aug 17, 2026

—

SWE-bench

33.2%

swebench · Aug 17, 2026

—

GPQA Diamond

48%

seed-bootstrap · Aug 1, 2026

—

Time to first token

350 ms

seed-bootstrap · Aug 1, 2026

—

Output speed

55 tok/s

seed-bootstrap · Aug 1, 2026

—

Input price

$10/1M

openrouter · Aug 17, 2026

$0.255/1M

openrouter · Aug 17, 2026

+$9.745/1M

Output price

$30/1M

openrouter · Aug 17, 2026

$1.02/1M

openrouter · Aug 17, 2026

+$28.98/1M

Context window

128k

openrouter · Aug 17, 2026

205k

openrouter · Aug 17, 2026

+77k

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatMiniMax: MiniMax M2

Lower output list price ($1.02/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGMiniMax: MiniMax M2

Larger window (205k).

Screenshots / visionGPT-4 Turbo

GPT-4 Turbo 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	Lower output list price ($1.02/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	MiniMax: MiniMax M2	Larger window (205k).
Screenshots / vision	GPT-4 Turbo	GPT-4 Turbo is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, GPT-4 Turbo or MiniMax: MiniMax M2?

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-4 Turbo or MiniMax: MiniMax M2?

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 output tokens are $1.02/1M versus $30/1M. Input prices and retry rates still move the real bill.

Which is faster, GPT-4 Turbo or MiniMax: MiniMax M2?

We do not have TTFT for both models.

Which has the larger context window?

MiniMax: MiniMax M2 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-4 Turbo and MiniMax: MiniMax M2 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.