MiniMax-M2.1 vs DeepSeek LLM 67B Chat (V1): The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the MiniMax-M2.1 vs DeepSeek LLM 67B Chat (V1) Showdown

After a comprehensive analysis, MiniMax-M2.1 emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, DeepSeek LLM 67B Chat (V1) remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed MiniMax-M2.1 vs DeepSeek LLM 67B Chat (V1) 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.

MiniMax-M2.1

Other

Reasoning: 8
Coding: 3
Multimodal: 3
Long Context: 5
Blended Price / 1M tokens: $0.001
P95 Latency: 1000ms
Tokens per second: 67.867tokens/sec

DeepSeek LLM 67B Chat (V1)

DeepSeek

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

Overall Capabilities

The capability radar provides a holistic view of the MiniMax-M2.1 vs DeepSeek LLM 67B Chat (V1) matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our MiniMax-M2.1 vs DeepSeek LLM 67B Chat (V1) analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `MiniMax-M2.1` vs `DeepSeek LLM 67B Chat (V1)`.

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 MiniMax-M2.1 vs DeepSeek LLM 67B Chat (V1) debate, MiniMax-M2.1 scores 80 against DeepSeek LLM 67B Chat (V1)'s 60. This data-driven approach is essential for any serious MiniMax-M2.1 vs DeepSeek LLM 67B Chat (V1) comparison.

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

Speed & Latency

Speed is a crucial factor in the MiniMax-M2.1 vs DeepSeek LLM 67B Chat (V1) decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

MiniMax-M2.1300ms

DeepSeek LLM 67B Chat (V1)300ms

Tokens per Second

MiniMax-M2.167.867

DeepSeek LLM 67B Chat (V1)50

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The Economics of MiniMax-M2.1 vs DeepSeek LLM 67B Chat (V1)

Power is only one part of the equation. This MiniMax-M2.1 vs DeepSeek LLM 67B Chat (V1) 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, MiniMax-M2.1 would cost $0.001, whereas DeepSeek LLM 67B Chat (V1) would cost $0.018. This practical calculation is vital for any developer considering the MiniMax-M2.1 vs DeepSeek LLM 67B Chat (V1) choice.

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Which Model Wins the MiniMax-M2.1 vs DeepSeek LLM 67B Chat (V1) Battle for You?

Choose MiniMax-M2.1 if...

Your top priority is raw performance and capability.

You are working in a technical or scientific field requiring the highest accuracy.

You need the most advanced reasoning capabilities available.

Choose DeepSeek LLM 67B Chat (V1) if...

You are developing at scale where operational costs are critical.

You prioritize cost-effectiveness over maximum performance.

Your workload requires consistent, reliable performance.

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Your Questions about the MiniMax-M2.1 vs DeepSeek LLM 67B Chat (V1) Comparison

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Data source: https://artificialanalysis.ai/