Magistral Small 1.2 vs Gemini 2.0 Flash Thinking Experimental (Jan '25): The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the Magistral Small 1.2 vs Gemini 2.0 Flash Thinking Experimental (Jan '25) Showdown

After a comprehensive analysis, Magistral Small 1.2 emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, Gemini 2.0 Flash Thinking Experimental (Jan '25) remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed Magistral Small 1.2 vs Gemini 2.0 Flash Thinking Experimental (Jan '25) 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.

Magistral Small 1.2

Mistral

Reasoning: 8
Coding: 1
Multimodal: 2
Long Context: 3
Blended Price / 1M tokens: $0.001
P95 Latency: 1000ms
Tokens per second: 199.548tokens/sec

Gemini 2.0 Flash Thinking Experimental (Jan '25)

Google

Reasoning: 6
Coding: 2
Multimodal: 2
Long Context: 2
Blended Price / 1M tokens: $0.015
P95 Latency: 1000ms
Tokens per second: —

Overall Capabilities

The capability radar provides a holistic view of the Magistral Small 1.2 vs Gemini 2.0 Flash Thinking Experimental (Jan '25) matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our Magistral Small 1.2 vs Gemini 2.0 Flash Thinking Experimental (Jan '25) analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `Magistral Small 1.2` vs `Gemini 2.0 Flash Thinking Experimental (Jan '25)`.

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 Small 1.2 vs Gemini 2.0 Flash Thinking Experimental (Jan '25) debate, Magistral Small 1.2 scores 80 against Gemini 2.0 Flash Thinking Experimental (Jan '25)'s 60. This data-driven approach is essential for any serious Magistral Small 1.2 vs Gemini 2.0 Flash Thinking Experimental (Jan '25) 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 Small 1.2 vs Gemini 2.0 Flash Thinking Experimental (Jan '25) decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

Magistral Small 1.2300ms

Gemini 2.0 Flash Thinking Experimental (Jan '25)300ms

Tokens per Second

Magistral Small 1.2199.548

Gemini 2.0 Flash Thinking Experimental (Jan '25)67

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The Economics of Magistral Small 1.2 vs Gemini 2.0 Flash Thinking Experimental (Jan '25)

Power is only one part of the equation. This Magistral Small 1.2 vs Gemini 2.0 Flash Thinking Experimental (Jan '25) 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 Small 1.2 would cost $0.001, whereas Gemini 2.0 Flash Thinking Experimental (Jan '25) would cost $0.018. This practical calculation is vital for any developer considering the Magistral Small 1.2 vs Gemini 2.0 Flash Thinking Experimental (Jan '25) choice.

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Which Model Wins the Magistral Small 1.2 vs Gemini 2.0 Flash Thinking Experimental (Jan '25) Battle for You?

Choose Magistral Small 1.2 if...

Your top priority is raw performance and capability.

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

You need the most advanced reasoning capabilities available.

Choose Gemini 2.0 Flash Thinking Experimental (Jan '25) 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 Magistral Small 1.2 vs Gemini 2.0 Flash Thinking Experimental (Jan '25) Comparison

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Data source: https://artificialanalysis.ai/