Qwen3 VL 4B (Reasoning) vs Mistral Medium: The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the Qwen3 VL 4B (Reasoning) vs Mistral Medium Showdown

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

Qwen3 VL 4B (Reasoning)

Other

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

Mistral Medium

Mistral

Reasoning: 6
Coding: 6
Multimodal: 1
Long Context: 1
Blended Price / 1M tokens: $0.004
P95 Latency: 1000ms
Tokens per second: 94.005tokens/sec

Overall Capabilities

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

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

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 Qwen3 VL 4B (Reasoning) vs Mistral Medium debate, Qwen3 VL 4B (Reasoning) scores 30 against Mistral Medium's 60. This data-driven approach is essential for any serious Qwen3 VL 4B (Reasoning) vs Mistral Medium comparison.

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

Speed & Latency

Speed is a crucial factor in the Qwen3 VL 4B (Reasoning) vs Mistral Medium decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

Qwen3 VL 4B (Reasoning)300ms

Mistral Medium300ms

Tokens per Second

Qwen3 VL 4B (Reasoning)20

Mistral Medium94.005

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The Economics of Qwen3 VL 4B (Reasoning) vs Mistral Medium

Power is only one part of the equation. This Qwen3 VL 4B (Reasoning) vs Mistral Medium 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, Qwen3 VL 4B (Reasoning) would cost $0.018, whereas Mistral Medium would cost $0.005. This practical calculation is vital for any developer considering the Qwen3 VL 4B (Reasoning) vs Mistral Medium choice.

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Which Model Wins the Qwen3 VL 4B (Reasoning) vs Mistral Medium Battle for You?

Choose Qwen3 VL 4B (Reasoning) if...

Cost is a secondary concern to power in your Qwen3 VL 4B (Reasoning) vs Mistral Medium decision.

You need the most advanced reasoning capabilities available.

Your use case demands cutting-edge AI performance.

Choose Mistral Medium if...

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

Your budget is a primary consideration in the Qwen3 VL 4B (Reasoning) vs Mistral Medium choice.

You are developing at scale where operational costs are critical.

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Your Questions about the Qwen3 VL 4B (Reasoning) vs Mistral Medium Comparison

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Data source: https://artificialanalysis.ai/