GLM-4.5 (Reasoning) vs Seed-OSS-36B-Instruct: A Comparação Definitiva de Desempenho e Preço

Mergulhe profundamente em raciocínio, benchmarks e insights de latência.

O Veredicto Final no Confronto GLM-4.5 (Reasoning) vs Seed-OSS-36B-Instruct

Após uma análise abrangente, Seed-OSS-36B-Instruct surge como a escolha superior para usuários que priorizam inteligência e raciocínio brutos. No entanto, GLM-4.5 (Reasoning) 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 GLM-4.5 (Reasoning) vs Seed-OSS-36B-Instruct 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.

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: 46.407tokens/seg

Seed-OSS-36B-Instruct

Other

Raciocínio: 8
Codificação: 2
Multimodal: 2
Contexto Longo: 3
Preço Combinado / 1M tokens: $0.000
Latência P95: 1000ms
Tokens por segundo: 32.243tokens/seg

Overall Capabilities

The capability radar provides a holistic view of the GLM-4.5 (Reasoning) vs Seed-OSS-36B-Instruct matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our GLM-4.5 (Reasoning) vs Seed-OSS-36B-Instruct analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `GLM-4.5 (Reasoning)` vs `Seed-OSS-36B-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 GLM-4.5 (Reasoning) vs Seed-OSS-36B-Instruct debate, GLM-4.5 (Reasoning) scores 70 against Seed-OSS-36B-Instruct's 80. This data-driven approach is essential for any serious GLM-4.5 (Reasoning) vs Seed-OSS-36B-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 GLM-4.5 (Reasoning) vs Seed-OSS-36B-Instruct decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

GLM-4.5 (Reasoning)300ms

Seed-OSS-36B-Instruct300ms

Tokens per Second

GLM-4.5 (Reasoning)46.407

Seed-OSS-36B-Instruct32.243

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The Economics of GLM-4.5 (Reasoning) vs Seed-OSS-36B-Instruct

Power is only one part of the equation. This GLM-4.5 (Reasoning) vs Seed-OSS-36B-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, GLM-4.5 (Reasoning) would cost $0.001, whereas Seed-OSS-36B-Instruct would cost $0.000. This practical calculation is vital for any developer considering the GLM-4.5 (Reasoning) vs Seed-OSS-36B-Instruct choice.

Review the complete pricing and packaging strategy

Which Model Wins the GLM-4.5 (Reasoning) vs Seed-OSS-36B-Instruct Battle for You?

Choose GLM-4.5 (Reasoning) if...

Cost is a secondary concern to power in your GLM-4.5 (Reasoning) vs Seed-OSS-36B-Instruct decision.

You need the most advanced reasoning capabilities available.

Your use case demands cutting-edge AI performance.

Choose Seed-OSS-36B-Instruct if...

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

Your budget is a primary consideration in the GLM-4.5 (Reasoning) vs Seed-OSS-36B-Instruct choice.

You are developing at scale where operational costs are critical.

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Your Questions about the GLM-4.5 (Reasoning) vs Seed-OSS-36B-Instruct Comparison

Review the full evaluation methodology · Read the latest analysis posts

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