Mistral Small (Sep '24) vs Qwen3 4B (Reasoning): The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the Mistral Small (Sep '24) vs Qwen3 4B (Reasoning) Showdown

After a comprehensive analysis, Mistral Small (Sep '24) emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, Qwen3 4B (Reasoning) remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed Mistral Small (Sep '24) vs Qwen3 4B (Reasoning) 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 (Sep '24)

Mistral

Reasoning: 6
Coding: 6
Multimodal: 1
Long Context: 1
Blended Price / 1M tokens: $0.000
P95 Latency: 1000ms
Tokens per second: 127.288tokens/sec

Qwen3 4B (Reasoning)

Other

Reasoning: 2
Coding: 6
Multimodal: 1
Long Context: 2
Blended Price / 1M tokens: $0.000
P95 Latency: 1000ms
Tokens per second: 75.253tokens/sec

Overall Capabilities

The capability radar provides a holistic view of the Mistral Small (Sep '24) vs Qwen3 4B (Reasoning) matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our Mistral Small (Sep '24) vs Qwen3 4B (Reasoning) analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `Mistral Small (Sep '24)` vs `Qwen3 4B (Reasoning)`.

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 (Sep '24) vs Qwen3 4B (Reasoning) debate, Mistral Small (Sep '24) scores 60 against Qwen3 4B (Reasoning)'s 20. This data-driven approach is essential for any serious Mistral Small (Sep '24) vs Qwen3 4B (Reasoning) 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 (Sep '24) vs Qwen3 4B (Reasoning) decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

Mistral Small (Sep '24)300ms

Qwen3 4B (Reasoning)300ms

Tokens per Second

Mistral Small (Sep '24)127.288

Qwen3 4B (Reasoning)75.253

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The Economics of Mistral Small (Sep '24) vs Qwen3 4B (Reasoning)

Power is only one part of the equation. This Mistral Small (Sep '24) vs Qwen3 4B (Reasoning) 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 (Sep '24) would cost $0.000, whereas Qwen3 4B (Reasoning) would cost $0.000. This practical calculation is vital for any developer considering the Mistral Small (Sep '24) vs Qwen3 4B (Reasoning) choice.

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Which Model Wins the Mistral Small (Sep '24) vs Qwen3 4B (Reasoning) Battle for You?

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

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

You need the most advanced reasoning capabilities available.

Your use case demands cutting-edge AI performance.

Choose Qwen3 4B (Reasoning) if...

You are developing at scale where operational costs are critical.

You prioritize cost-effectiveness over maximum performance.

Your workload requires consistent, reliable performance.

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Your Questions about the Mistral Small (Sep '24) vs Qwen3 4B (Reasoning) Comparison

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Data source: https://artificialanalysis.ai/