Sarvam 105B (high) vs Qwen3 1.7B (Reasoning): A Comparação Definitiva de Desempenho e Preço

Mergulhe profundamente em raciocínio, benchmarks e insights de latência.

O Veredicto Final no Confronto Sarvam 105B (high) vs Qwen3 1.7B (Reasoning)

Após uma análise abrangente, Sarvam 105B (high) 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 Sarvam 105B (high) vs Qwen3 1.7B (Reasoning) irá analisar cada métrica crítica para ajudá-lo a tomar a melhor decisão.

Explore os melhores cenários•Deixe o AI Selector recomendar os próximos passos

Instantâneo do Modelo

Principais métricas de decisão em um relance.

Sarvam 105B (high)

Other

Raciocínio: 6
Codificação: 1
Multimodal: 2
Contexto Longo: 2
Preço Combinado / 1M tokens: $0.015
Latência P95: 1000ms
Tokens por segundo: 140.105tokens/seg

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: 138.397tokens/seg

Overall Capabilities

The capability radar provides a holistic view of the Sarvam 105B (high) vs Qwen3 1.7B (Reasoning) matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our Sarvam 105B (high) vs Qwen3 1.7B (Reasoning) analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `Sarvam 105B (high)` vs `Qwen3 1.7B (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 Sarvam 105B (high) vs Qwen3 1.7B (Reasoning) debate, Sarvam 105B (high) scores 60 against Qwen3 1.7B (Reasoning)'s 40. This data-driven approach is essential for any serious Sarvam 105B (high) vs Qwen3 1.7B (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 Sarvam 105B (high) vs Qwen3 1.7B (Reasoning) decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

Sarvam 105B (high)300ms

Qwen3 1.7B (Reasoning)300ms

Tokens per Second

Sarvam 105B (high)140.105

Qwen3 1.7B (Reasoning)138.397

Head to the playground to validate these results yourself

The Economics of Sarvam 105B (high) vs Qwen3 1.7B (Reasoning)

Power is only one part of the equation. This Sarvam 105B (high) vs Qwen3 1.7B (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, Sarvam 105B (high) would cost $0.018, whereas Qwen3 1.7B (Reasoning) would cost $0.000. This practical calculation is vital for any developer considering the Sarvam 105B (high) vs Qwen3 1.7B (Reasoning) choice.

Review the complete pricing and packaging strategy

Which Model Wins the Sarvam 105B (high) vs Qwen3 1.7B (Reasoning) Battle for You?

Choose Sarvam 105B (high) if...

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

Cost is a secondary concern to power in your Sarvam 105B (high) vs Qwen3 1.7B (Reasoning) decision.

You need the most advanced reasoning capabilities available.

Choose Qwen3 1.7B (Reasoning) if...

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

Your budget is a primary consideration in the Sarvam 105B (high) vs Qwen3 1.7B (Reasoning) 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 Sarvam 105B (high) vs Qwen3 1.7B (Reasoning) Comparison

Review the full evaluation methodology · Read the latest analysis posts