Mistral Small (Feb '24) vs GLM-4.5 (Reasoning): A Comparação Definitiva de Desempenho e Preço

Mergulhe profundamente em raciocínio, benchmarks e insights de latência.

O Veredicto Final no Confronto Mistral Small (Feb '24) vs GLM-4.5 (Reasoning)

Após uma análise abrangente, GLM-4.5 (Reasoning) surge como a escolha superior para usuários que priorizam inteligência e raciocínio brutos. No entanto, Mistral Small (Feb '24) continua a ser uma opção altamente competitiva, especialmente para cenários que exigem tempos de resposta mais rápidos e eficiência de custos. Esta detalhada comparação de Mistral Small (Feb '24) vs GLM-4.5 (Reasoning) irá analisar cada métrica crítica para ajudá-lo a tomar a melhor decisão.

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Instantâneo do Modelo

Principais métricas de decisão em um relance.

Mistral Small (Feb '24)

Mistral

Raciocínio: 6
Codificação: 6
Multimodal: 1
Contexto Longo: 1
Preço Combinado / 1M tokens: $0.002
Latência P95: 1000ms
Tokens por segundo: 119.688tokens/seg

GLM-4.5 (Reasoning)

Other

Raciocínio: 7
Codificação: 3
Multimodal: 2
Contexto Longo: 3
Preço Combinado / 1M tokens: $0.001
Latência P95: 1000ms
Tokens por segundo: 46.531tokens/seg

Overall Capabilities

The capability radar provides a holistic view of the Mistral Small (Feb '24) vs GLM-4.5 (Reasoning) matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our Mistral Small (Feb '24) vs GLM-4.5 (Reasoning) analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `Mistral Small (Feb '24)` vs `GLM-4.5 (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 (Feb '24) vs GLM-4.5 (Reasoning) debate, Mistral Small (Feb '24) scores 60 against GLM-4.5 (Reasoning)'s 70. This data-driven approach is essential for any serious Mistral Small (Feb '24) vs GLM-4.5 (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 (Feb '24) vs GLM-4.5 (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 (Feb '24)300ms

GLM-4.5 (Reasoning)300ms

Tokens per Second

Mistral Small (Feb '24)119.688

GLM-4.5 (Reasoning)46.531

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The Economics of Mistral Small (Feb '24) vs GLM-4.5 (Reasoning)

Power is only one part of the equation. This Mistral Small (Feb '24) vs GLM-4.5 (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 (Feb '24) would cost $0.002, whereas GLM-4.5 (Reasoning) would cost $0.001. This practical calculation is vital for any developer considering the Mistral Small (Feb '24) vs GLM-4.5 (Reasoning) choice.

Review the complete pricing and packaging strategy

Which Model Wins the Mistral Small (Feb '24) vs GLM-4.5 (Reasoning) Battle for You?

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

Cost is a secondary concern to power in your Mistral Small (Feb '24) vs GLM-4.5 (Reasoning) decision.

You need the most advanced reasoning capabilities available.

Your use case demands cutting-edge AI performance.

Choose GLM-4.5 (Reasoning) if...

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

Your budget is a primary consideration in the Mistral Small (Feb '24) vs GLM-4.5 (Reasoning) choice.

You are developing at scale where operational costs are critical.

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Your Questions about the Mistral Small (Feb '24) vs GLM-4.5 (Reasoning) Comparison

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Fonte de dados: https://artificialanalysis.ai/