Mistral Medium 3.1 vs GPT-3.5 Turbo: The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the Mistral Medium 3.1 vs GPT-3.5 Turbo Showdown

After a comprehensive analysis, GPT-3.5 Turbo emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, Mistral Medium 3.1 remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed Mistral Medium 3.1 vs GPT-3.5 Turbo 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 Medium 3.1

Mistral

Reasoning: 4
Coding: 2
Multimodal: 2
Long Context: 3
Blended Price / 1M tokens: $0.001
P95 Latency: 1000ms
Tokens per second: 99.973tokens/sec

GPT-3.5 Turbo

OpenAI

Reasoning: 6
Coding: 1
Multimodal: 1
Long Context: 1
Blended Price / 1M tokens: $0.001
P95 Latency: 1000ms
Tokens per second: 100.695tokens/sec

Overall Capabilities

The capability radar provides a holistic view of the Mistral Medium 3.1 vs GPT-3.5 Turbo matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our Mistral Medium 3.1 vs GPT-3.5 Turbo analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `Mistral Medium 3.1` vs `GPT-3.5 Turbo`.

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 Medium 3.1 vs GPT-3.5 Turbo debate, Mistral Medium 3.1 scores 40 against GPT-3.5 Turbo's 60. This data-driven approach is essential for any serious Mistral Medium 3.1 vs GPT-3.5 Turbo 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 Medium 3.1 vs GPT-3.5 Turbo decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

Mistral Medium 3.1300ms

GPT-3.5 Turbo300ms

Tokens per Second

Mistral Medium 3.199.973

GPT-3.5 Turbo100.695

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The Economics of Mistral Medium 3.1 vs GPT-3.5 Turbo

Power is only one part of the equation. This Mistral Medium 3.1 vs GPT-3.5 Turbo 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 Medium 3.1 would cost $0.001, whereas GPT-3.5 Turbo would cost $0.001. This practical calculation is vital for any developer considering the Mistral Medium 3.1 vs GPT-3.5 Turbo choice.

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Which Model Wins the Mistral Medium 3.1 vs GPT-3.5 Turbo Battle for You?

Choose Mistral Medium 3.1 if...

Cost is a secondary concern to power in your Mistral Medium 3.1 vs GPT-3.5 Turbo decision.

You need the most advanced reasoning capabilities available.

Your use case demands cutting-edge AI performance.

Choose GPT-3.5 Turbo if...

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

Your budget is a primary consideration in the Mistral Medium 3.1 vs GPT-3.5 Turbo choice.

You are developing at scale where operational costs are critical.

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Your Questions about the Mistral Medium 3.1 vs GPT-3.5 Turbo Comparison

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Data source: https://artificialanalysis.ai/