Mistral Small 4 (Non-reasoning) vs GPT-4.1 nano: The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the Mistral Small 4 (Non-reasoning) vs GPT-4.1 nano Showdown

After a comprehensive analysis, Mistral Small 4 (Non-reasoning) emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, GPT-4.1 nano remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed Mistral Small 4 (Non-reasoning) vs GPT-4.1 nano 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.

Mistral Small 4 (Non-reasoning)

Mistral

Reasoning: 6
Coding: 2
Multimodal: 2
Long Context: 2
Blended Price / 1M tokens: $0.000
P95 Latency: 1000ms
Tokens per second: 150.385tokens/sec

GPT-4.1 nano

OpenAI

Reasoning: 2
Coding: 1
Multimodal: 1
Long Context: 2
Blended Price / 1M tokens: $0.000
P95 Latency: 1000ms
Tokens per second: 141.957tokens/sec

Overall Capabilities

The capability radar provides a holistic view of the Mistral Small 4 (Non-reasoning) vs GPT-4.1 nano matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our Mistral Small 4 (Non-reasoning) vs GPT-4.1 nano analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `Mistral Small 4 (Non-reasoning)` vs `GPT-4.1 nano`.

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 Mistral Small 4 (Non-reasoning) vs GPT-4.1 nano debate, Mistral Small 4 (Non-reasoning) scores 60 against GPT-4.1 nano's 20. This data-driven approach is essential for any serious Mistral Small 4 (Non-reasoning) vs GPT-4.1 nano comparison.

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

Speed & Latency

Speed is a crucial factor in the Mistral Small 4 (Non-reasoning) vs GPT-4.1 nano decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

Mistral Small 4 (Non-reasoning)300ms

GPT-4.1 nano300ms

Tokens per Second

Mistral Small 4 (Non-reasoning)150.385

GPT-4.1 nano141.957

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The Economics of Mistral Small 4 (Non-reasoning) vs GPT-4.1 nano

Power is only one part of the equation. This Mistral Small 4 (Non-reasoning) vs GPT-4.1 nano 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, Mistral Small 4 (Non-reasoning) would cost $0.000, whereas GPT-4.1 nano would cost $0.000. This practical calculation is vital for any developer considering the Mistral Small 4 (Non-reasoning) vs GPT-4.1 nano choice.

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Which Model Wins the Mistral Small 4 (Non-reasoning) vs GPT-4.1 nano Battle for You?

Choose Mistral Small 4 (Non-reasoning) if...

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

Cost is a secondary concern to power in your Mistral Small 4 (Non-reasoning) vs GPT-4.1 nano decision.

You need the most advanced reasoning capabilities available.

Choose GPT-4.1 nano if...

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

Your budget is a primary consideration in the Mistral Small 4 (Non-reasoning) vs GPT-4.1 nano choice.

You are developing at scale where operational costs are critical.

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Your Questions about the Mistral Small 4 (Non-reasoning) vs GPT-4.1 nano Comparison

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