Qwen3 1.7B (Reasoning) vs PALM-2: A Comparação Definitiva de Desempenho e Preço

Mergulhe profundamente em raciocínio, benchmarks e insights de latência.

O Veredicto Final no Confronto Qwen3 1.7B (Reasoning) vs PALM-2

Após uma análise abrangente, PALM-2 surge como a escolha superior para usuários que priorizam inteligência e raciocínio brutos. No entanto, Qwen3 1.7B (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 Qwen3 1.7B (Reasoning) vs PALM-2 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.

Qwen3 1.7B (Reasoning)

Other

Raciocínio: 4
Codificação: 1
Multimodal: 1
Contexto Longo: 1
Preço Combinado / 1M tokens: $0.000
Latência P95: 1000ms
Tokens por segundo: 124.978tokens/seg

PALM-2

Google

Raciocínio: 6
Codificação: 1
Multimodal: 1
Contexto Longo: 1
Preço Combinado / 1M tokens: $0.015
Latência P95: 1000ms
Tokens por segundo: —

Overall Capabilities

The capability radar provides a holistic view of the Qwen3 1.7B (Reasoning) vs PALM-2 matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our Qwen3 1.7B (Reasoning) vs PALM-2 analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `Qwen3 1.7B (Reasoning)` vs `PALM-2`.

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 1.7B (Reasoning) vs PALM-2 debate, Qwen3 1.7B (Reasoning) scores 40 against PALM-2's 60. This data-driven approach is essential for any serious Qwen3 1.7B (Reasoning) vs PALM-2 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 1.7B (Reasoning) vs PALM-2 decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

Qwen3 1.7B (Reasoning)300ms

PALM-2300ms

Tokens per Second

Qwen3 1.7B (Reasoning)124.978

PALM-227

Head to the playground to validate these results yourself

The Economics of Qwen3 1.7B (Reasoning) vs PALM-2

Power is only one part of the equation. This Qwen3 1.7B (Reasoning) vs PALM-2 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 1.7B (Reasoning) would cost $0.000, whereas PALM-2 would cost $0.018. This practical calculation is vital for any developer considering the Qwen3 1.7B (Reasoning) vs PALM-2 choice.

Review the complete pricing and packaging strategy