Magistral Medium 1.2 vs Qwen3 Next 80B A3B Instruct: The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the Magistral Medium 1.2 vs Qwen3 Next 80B A3B Instruct Showdown

After a comprehensive analysis, Magistral Medium 1.2 emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, Qwen3 Next 80B A3B Instruct remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed Magistral Medium 1.2 vs Qwen3 Next 80B A3B Instruct comparison will break down every critical metric to help you make the best decision.

Explore best-for scenarios•Let the AI Selector recommend next steps

Model Snapshot

Key decision metrics at a glance.

Magistral Medium 1.2

Mistral

Reasoning: 8
Coding: 2
Multimodal: 2
Long Context: 3
Blended Price / 1M tokens: $0.003
P95 Latency: 1000ms
Tokens per second: 31.19tokens/sec

Qwen3 Next 80B A3B Instruct

Other

Reasoning: 7
Coding: 2
Multimodal: 2
Long Context: 3
Blended Price / 1M tokens: $0.001
P95 Latency: 1000ms
Tokens per second: 153.536tokens/sec

Overall Capabilities

The capability radar provides a holistic view of the Magistral Medium 1.2 vs Qwen3 Next 80B A3B Instruct matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our Magistral Medium 1.2 vs Qwen3 Next 80B A3B Instruct analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `Magistral Medium 1.2` vs `Qwen3 Next 80B A3B Instruct`.

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 Magistral Medium 1.2 vs Qwen3 Next 80B A3B Instruct debate, Magistral Medium 1.2 scores 80 against Qwen3 Next 80B A3B Instruct's 70. This data-driven approach is essential for any serious Magistral Medium 1.2 vs Qwen3 Next 80B A3B Instruct comparison.

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

Speed & Latency

Speed is a crucial factor in the Magistral Medium 1.2 vs Qwen3 Next 80B A3B Instruct decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

Magistral Medium 1.2300ms

Qwen3 Next 80B A3B Instruct300ms

Tokens per Second

Magistral Medium 1.231.19

Qwen3 Next 80B A3B Instruct153.536

Head to the playground to validate these results yourself

The Economics of Magistral Medium 1.2 vs Qwen3 Next 80B A3B Instruct

Power is only one part of the equation. This Magistral Medium 1.2 vs Qwen3 Next 80B A3B Instruct 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, Magistral Medium 1.2 would cost $0.003, whereas Qwen3 Next 80B A3B Instruct would cost $0.001. This practical calculation is vital for any developer considering the Magistral Medium 1.2 vs Qwen3 Next 80B A3B Instruct choice.

Review the complete pricing and packaging strategy

Which Model Wins the Magistral Medium 1.2 vs Qwen3 Next 80B A3B Instruct Battle for You?

Choose Magistral Medium 1.2 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 Magistral Medium 1.2 vs Qwen3 Next 80B A3B Instruct decision.

Choose Qwen3 Next 80B A3B Instruct if...

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

Your budget is a primary consideration in the Magistral Medium 1.2 vs Qwen3 Next 80B A3B Instruct choice.

You are developing at scale where operational costs are critical.

Explore all Best picks Use the AI Selector for a tailored recommendation

Your Questions about the Magistral Medium 1.2 vs Qwen3 Next 80B A3B Instruct Comparison

Review the full evaluation methodology · Read the latest analysis posts

Data source: https://artificialanalysis.ai/