MiniMax-M2.1 vs Olmo 3.1 32B Think: The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the MiniMax-M2.1 vs Olmo 3.1 32B Think Showdown

After a comprehensive analysis, MiniMax-M2.1 emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, Olmo 3.1 32B Think remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed MiniMax-M2.1 vs Olmo 3.1 32B Think comparison will break down every critical metric to help you make the best decision.

Explore best-for scenarios•Let the AI Selector recommend next steps

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: 67.338tokens/sec

Olmo 3.1 32B Think

Other

Reasoning: 8
Coding: 1
Multimodal: 1
Long Context: 2
Blended Price / 1M tokens: $0.015
P95 Latency: 1000ms
Tokens per second: 70.595tokens/sec

Overall Capabilities

The capability radar provides a holistic view of the MiniMax-M2.1 vs Olmo 3.1 32B Think matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our MiniMax-M2.1 vs Olmo 3.1 32B Think analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `MiniMax-M2.1` vs `Olmo 3.1 32B Think`.

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 Olmo 3.1 32B Think debate, MiniMax-M2.1 scores 80 against Olmo 3.1 32B Think's 80. This data-driven approach is essential for any serious MiniMax-M2.1 vs Olmo 3.1 32B Think 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 Olmo 3.1 32B Think 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

Olmo 3.1 32B Think300ms

Tokens per Second

MiniMax-M2.167.338

Olmo 3.1 32B Think70.595

Head to the playground to validate these results yourself

The Economics of MiniMax-M2.1 vs Olmo 3.1 32B Think

Power is only one part of the equation. This MiniMax-M2.1 vs Olmo 3.1 32B Think 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 Olmo 3.1 32B Think would cost $0.018. This practical calculation is vital for any developer considering the MiniMax-M2.1 vs Olmo 3.1 32B Think choice.

Review the complete pricing and packaging strategy

Which Model Wins the MiniMax-M2.1 vs Olmo 3.1 32B Think Battle for You?

Choose MiniMax-M2.1 if...

Your top priority is raw performance and capability.

You need the most advanced reasoning capabilities available.

Your use case demands cutting-edge AI performance.

Choose Olmo 3.1 32B Think if...

You are developing at scale where operational costs are critical.

You prioritize cost-effectiveness over maximum performance.

Your workload requires consistent, reliable performance.

Explore all Best picks Use the AI Selector for a tailored recommendation

Your Questions about the MiniMax-M2.1 vs Olmo 3.1 32B Think Comparison

Review the full evaluation methodology · Read the latest analysis posts

Data source: https://artificialanalysis.ai/