Olmo 3.1 32B Think vs Mistral Small (Feb '24): The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the Olmo 3.1 32B Think vs Mistral Small (Feb '24) Showdown

After a comprehensive analysis, Mistral Small (Feb '24) 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 Mistral Small (Feb '24) 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.

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: 99.583tokens/sec

Mistral Small (Feb '24)

Mistral

Reasoning: 6
Coding: 6
Multimodal: 1
Long Context: 1
Blended Price / 1M tokens: $0.002
P95 Latency: 1000ms
Tokens per second: 119.688tokens/sec

Overall Capabilities

The capability radar provides a holistic view of the Olmo 3.1 32B Think vs Mistral Small (Feb '24) matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our Olmo 3.1 32B Think vs Mistral Small (Feb '24) analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `Olmo 3.1 32B Think` vs `Mistral Small (Feb '24)`.

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 Mistral Small (Feb '24) debate, Olmo 3.1 32B Think scores 80 against Mistral Small (Feb '24)'s 60. This data-driven approach is essential for any serious Olmo 3.1 32B Think vs Mistral Small (Feb '24) 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 Mistral Small (Feb '24) 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

Mistral Small (Feb '24)300ms

Tokens per Second

Olmo 3.1 32B Think99.583

Mistral Small (Feb '24)119.688

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The Economics of Olmo 3.1 32B Think vs Mistral Small (Feb '24)

Power is only one part of the equation. This Olmo 3.1 32B Think vs Mistral Small (Feb '24) 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 Mistral Small (Feb '24) would cost $0.002. This practical calculation is vital for any developer considering the Olmo 3.1 32B Think vs Mistral Small (Feb '24) choice.

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Which Model Wins the Olmo 3.1 32B Think vs Mistral Small (Feb '24) Battle for You?

Choose Olmo 3.1 32B Think if...

Your top priority is raw performance and capability.

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

Cost is a secondary concern to power in your Olmo 3.1 32B Think vs Mistral Small (Feb '24) decision.

Choose Mistral Small (Feb '24) if...

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

Your budget is a primary consideration in the Olmo 3.1 32B Think vs Mistral Small (Feb '24) choice.

You are developing at scale where operational costs are critical.

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Your Questions about the Olmo 3.1 32B Think vs Mistral Small (Feb '24) Comparison

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Data source: https://artificialanalysis.ai/