Sarvam 30B (Reasoning) vs Qwen3.5 35B A3B (Reasoning): The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the Sarvam 30B (Reasoning) vs Qwen3.5 35B A3B (Reasoning) Showdown

After a comprehensive analysis, Qwen3.5 35B A3B (Reasoning) emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, Sarvam 30B (Reasoning) remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed Sarvam 30B (Reasoning) vs Qwen3.5 35B A3B (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 30B (Reasoning)

Other

Reasoning: 6
Coding: 1
Multimodal: 1
Long Context: 2
Blended Price / 1M tokens: $0.015
P95 Latency: 1000ms
Tokens per second: 283.19tokens/sec

Qwen3.5 35B A3B (Reasoning)

Other

Reasoning: 6
Coding: 3
Multimodal: 3
Long Context: 5
Blended Price / 1M tokens: $0.001
P95 Latency: 1000ms
Tokens per second: 121.558tokens/sec

Overall Capabilities

The capability radar provides a holistic view of the Sarvam 30B (Reasoning) vs Qwen3.5 35B A3B (Reasoning) matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our Sarvam 30B (Reasoning) vs Qwen3.5 35B A3B (Reasoning) analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `Sarvam 30B (Reasoning)` vs `Qwen3.5 35B A3B (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 30B (Reasoning) vs Qwen3.5 35B A3B (Reasoning) debate, Sarvam 30B (Reasoning) scores 60 against Qwen3.5 35B A3B (Reasoning)'s 60. This data-driven approach is essential for any serious Sarvam 30B (Reasoning) vs Qwen3.5 35B A3B (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 30B (Reasoning) vs Qwen3.5 35B A3B (Reasoning) decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

Sarvam 30B (Reasoning)300ms

Qwen3.5 35B A3B (Reasoning)300ms

Tokens per Second

Sarvam 30B (Reasoning)283.19

Qwen3.5 35B A3B (Reasoning)121.558

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The Economics of Sarvam 30B (Reasoning) vs Qwen3.5 35B A3B (Reasoning)

Power is only one part of the equation. This Sarvam 30B (Reasoning) vs Qwen3.5 35B A3B (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 30B (Reasoning) would cost $0.018, whereas Qwen3.5 35B A3B (Reasoning) would cost $0.001. This practical calculation is vital for any developer considering the Sarvam 30B (Reasoning) vs Qwen3.5 35B A3B (Reasoning) choice.

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Which Model Wins the Sarvam 30B (Reasoning) vs Qwen3.5 35B A3B (Reasoning) Battle for You?

Choose Sarvam 30B (Reasoning) if...

Cost is a secondary concern to power in your Sarvam 30B (Reasoning) vs Qwen3.5 35B A3B (Reasoning) decision.

You need the most advanced reasoning capabilities available.

Your use case demands cutting-edge AI performance.

Choose Qwen3.5 35B A3B (Reasoning) if...

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

Your budget is a primary consideration in the Sarvam 30B (Reasoning) vs Qwen3.5 35B A3B (Reasoning) choice.

You are developing at scale where operational costs are critical.

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Your Questions about the Sarvam 30B (Reasoning) vs Qwen3.5 35B A3B (Reasoning) Comparison

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