DeepSeek R1 Distill Qwen 32B vs OpenChat 3.5 (1210): The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the DeepSeek R1 Distill Qwen 32B vs OpenChat 3.5 (1210) Showdown

After a comprehensive analysis, DeepSeek R1 Distill Qwen 32B emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, OpenChat 3.5 (1210) remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed DeepSeek R1 Distill Qwen 32B vs OpenChat 3.5 (1210) 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.

DeepSeek R1 Distill Qwen 32B

DeepSeek

Reasoning: 6
Coding: 6
Multimodal: 1
Long Context: 2
Blended Price / 1M tokens: $0.000
P95 Latency: 1000ms
Tokens per second: 42.059tokens/sec

OpenChat 3.5 (1210)

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 DeepSeek R1 Distill Qwen 32B vs OpenChat 3.5 (1210) matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our DeepSeek R1 Distill Qwen 32B vs OpenChat 3.5 (1210) analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `DeepSeek R1 Distill Qwen 32B` vs `OpenChat 3.5 (1210)`.

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 DeepSeek R1 Distill Qwen 32B vs OpenChat 3.5 (1210) debate, DeepSeek R1 Distill Qwen 32B scores 60 against OpenChat 3.5 (1210)'s 60. This data-driven approach is essential for any serious DeepSeek R1 Distill Qwen 32B vs OpenChat 3.5 (1210) comparison.

This grouped bar chart provides a side-by-side comparison for each benchmark metric.

Speed & Latency

Speed is a crucial factor in the DeepSeek R1 Distill Qwen 32B vs OpenChat 3.5 (1210) decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

DeepSeek R1 Distill Qwen 32B300ms

OpenChat 3.5 (1210)300ms

Tokens per Second

DeepSeek R1 Distill Qwen 32B42.059

OpenChat 3.5 (1210)41

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The Economics of DeepSeek R1 Distill Qwen 32B vs OpenChat 3.5 (1210)

Power is only one part of the equation. This DeepSeek R1 Distill Qwen 32B vs OpenChat 3.5 (1210) 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, DeepSeek R1 Distill Qwen 32B would cost $0.000, whereas OpenChat 3.5 (1210) would cost $0.018. This practical calculation is vital for any developer considering the DeepSeek R1 Distill Qwen 32B vs OpenChat 3.5 (1210) choice.

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Which Model Wins the DeepSeek R1 Distill Qwen 32B vs OpenChat 3.5 (1210) Battle for You?

Choose DeepSeek R1 Distill Qwen 32B if...

You need the most advanced reasoning capabilities available.

Your use case demands cutting-edge AI performance.

Choose OpenChat 3.5 (1210) 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 DeepSeek R1 Distill Qwen 32B vs OpenChat 3.5 (1210) Comparison

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Data source: https://artificialanalysis.ai/