GPT-4 Turbo vs MiniMax M1 80k: The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the GPT-4 Turbo vs MiniMax M1 80k Showdown

After a comprehensive analysis, MiniMax M1 80k emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, GPT-4 Turbo remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed GPT-4 Turbo vs MiniMax M1 80k comparison will break down every critical metric to help you make the best decision.

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Model Snapshot

Key decision metrics at a glance.

GPT-4 Turbo

OpenAI

Reasoning: 6
Coding: 2
Multimodal: 1
Long Context: 2
Blended Price / 1M tokens: $0.015
P95 Latency: 1000ms
Tokens per second: 25.308tokens/sec

MiniMax M1 80k

Other

Reasoning: 6
Coding: 1
Multimodal: 2
Long Context: 3
Blended Price / 1M tokens: $0.001
P95 Latency: 1000ms
Tokens per second: —

Overall Capabilities

The capability radar provides a holistic view of the GPT-4 Turbo vs MiniMax M1 80k matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our GPT-4 Turbo vs MiniMax M1 80k analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `GPT-4 Turbo` vs `MiniMax M1 80k`.

Benchmark Breakdown

For a granular look, this chart directly compares scores across standardized benchmarks. In the critical MMLU Pro test, a key part of the GPT-4 Turbo vs MiniMax M1 80k debate, GPT-4 Turbo scores 60 against MiniMax M1 80k's 60. This data-driven approach is essential for any serious GPT-4 Turbo vs MiniMax M1 80k comparison.

This grouped bar chart provides a side-by-side comparison for each benchmark metric.

Speed & Latency

Speed is a crucial factor in the GPT-4 Turbo vs MiniMax M1 80k decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

GPT-4 Turbo300ms

MiniMax M1 80k300ms

Tokens per Second

GPT-4 Turbo25.308

MiniMax M1 80k52

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The Economics of GPT-4 Turbo vs MiniMax M1 80k

Power is only one part of the equation. This GPT-4 Turbo vs MiniMax M1 80k pricing analysis gives you a true sense of value.

Pricing Breakdown

Compare input and output pricing at a glance.

Real-World Cost Scenario

To process 1M input tokens and generate 250k output tokens, GPT-4 Turbo would cost $0.018, whereas MiniMax M1 80k would cost $0.001. This practical calculation is vital for any developer considering the GPT-4 Turbo vs MiniMax M1 80k choice.

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Which Model Wins the GPT-4 Turbo vs MiniMax M1 80k Battle for You?

Choose GPT-4 Turbo if...

Cost is a secondary concern to power in your GPT-4 Turbo vs MiniMax M1 80k decision.

You need the most advanced reasoning capabilities available.

Your use case demands cutting-edge AI performance.

Choose MiniMax M1 80k if...

You need a highly responsive model for user-facing applications.

Your budget is a primary consideration in the GPT-4 Turbo vs MiniMax M1 80k choice.

You are developing at scale where operational costs are critical.

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Your Questions about the GPT-4 Turbo vs MiniMax M1 80k Comparison

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Data source: https://artificialanalysis.ai/