Olmo 3.1 32B Think vs Mi:dm K 2.5 Pro: The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the Olmo 3.1 32B Think vs Mi:dm K 2.5 Pro Showdown

After a comprehensive analysis, Mi:dm K 2.5 Pro 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 Olmo 3.1 32B Think vs Mi:dm K 2.5 Pro 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.

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: 87.833tokens/sec

Mi:dm K 2.5 Pro

Other

Reasoning: 8
Coding: 1
Multimodal: 2
Long Context: 3
Blended Price / 1M tokens: $0.015
P95 Latency: 1000ms
Tokens per second: —

Overall Capabilities

The capability radar provides a holistic view of the Olmo 3.1 32B Think vs Mi:dm K 2.5 Pro matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our Olmo 3.1 32B Think vs Mi:dm K 2.5 Pro analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `Olmo 3.1 32B Think` vs `Mi:dm K 2.5 Pro`.

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 Olmo 3.1 32B Think vs Mi:dm K 2.5 Pro debate, Olmo 3.1 32B Think scores 80 against Mi:dm K 2.5 Pro's 80. This data-driven approach is essential for any serious Olmo 3.1 32B Think vs Mi:dm K 2.5 Pro comparison.

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

Speed & Latency

Speed is a crucial factor in the Olmo 3.1 32B Think vs Mi:dm K 2.5 Pro decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

Olmo 3.1 32B Think300ms

Mi:dm K 2.5 Pro300ms

Tokens per Second

Olmo 3.1 32B Think87.833

Mi:dm K 2.5 Pro48

Head to the playground to validate these results yourself

The Economics of Olmo 3.1 32B Think vs Mi:dm K 2.5 Pro

Power is only one part of the equation. This Olmo 3.1 32B Think vs Mi:dm K 2.5 Pro 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, Olmo 3.1 32B Think would cost $0.018, whereas Mi:dm K 2.5 Pro would cost $0.018. This practical calculation is vital for any developer considering the Olmo 3.1 32B Think vs Mi:dm K 2.5 Pro choice.

Review the complete pricing and packaging strategy

Which Model Wins the Olmo 3.1 32B Think vs Mi:dm K 2.5 Pro Battle for You?

Choose Olmo 3.1 32B Think 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 Mi:dm K 2.5 Pro 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 Olmo 3.1 32B Think vs Mi:dm K 2.5 Pro Comparison

Review the full evaluation methodology · Read the latest analysis posts

Data source: https://artificialanalysis.ai/