Sarvam 105B (Reasoning) vs Qwen3.5 0.8B (Reasoning): The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the Sarvam 105B (Reasoning) vs Qwen3.5 0.8B (Reasoning) Showdown

After a comprehensive analysis, Qwen3.5 0.8B (Reasoning) emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, Sarvam 105B (Reasoning) remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed Sarvam 105B (Reasoning) vs Qwen3.5 0.8B (Reasoning) 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.

Sarvam 105B (Reasoning)

Other

Reasoning: 6
Coding: 1
Multimodal: 2
Long Context: 2
Blended Price / 1M tokens: $0.015
P95 Latency: 1000ms
Tokens per second: 126.24tokens/sec

Qwen3.5 0.8B (Reasoning)

Other

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

Overall Capabilities

The capability radar provides a holistic view of the Sarvam 105B (Reasoning) vs Qwen3.5 0.8B (Reasoning) matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our Sarvam 105B (Reasoning) vs Qwen3.5 0.8B (Reasoning) analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `Sarvam 105B (Reasoning)` vs `Qwen3.5 0.8B (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 (Reasoning) vs Qwen3.5 0.8B (Reasoning) debate, Sarvam 105B (Reasoning) scores 60 against Qwen3.5 0.8B (Reasoning)'s 60. This data-driven approach is essential for any serious Sarvam 105B (Reasoning) vs Qwen3.5 0.8B (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 (Reasoning) vs Qwen3.5 0.8B (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 (Reasoning)300ms

Qwen3.5 0.8B (Reasoning)300ms

Tokens per Second

Sarvam 105B (Reasoning)126.24

Qwen3.5 0.8B (Reasoning)31

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The Economics of Sarvam 105B (Reasoning) vs Qwen3.5 0.8B (Reasoning)

Power is only one part of the equation. This Sarvam 105B (Reasoning) vs Qwen3.5 0.8B (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 (Reasoning) would cost $0.018, whereas Qwen3.5 0.8B (Reasoning) would cost $0.018. This practical calculation is vital for any developer considering the Sarvam 105B (Reasoning) vs Qwen3.5 0.8B (Reasoning) choice.

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Which Model Wins the Sarvam 105B (Reasoning) vs Qwen3.5 0.8B (Reasoning) Battle for You?

Choose Sarvam 105B (Reasoning) if...

You need the most advanced reasoning capabilities available.

Your use case demands cutting-edge AI performance.

Choose Qwen3.5 0.8B (Reasoning) 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 Sarvam 105B (Reasoning) vs Qwen3.5 0.8B (Reasoning) Comparison

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