Nova 2.0 Pro Preview (low) vs DeepSeek R1 Distill Qwen 1.5B: The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the Nova 2.0 Pro Preview (low) vs DeepSeek R1 Distill Qwen 1.5B Showdown

After a comprehensive analysis, Nova 2.0 Pro Preview (low) emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, DeepSeek R1 Distill Qwen 1.5B remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed Nova 2.0 Pro Preview (low) vs DeepSeek R1 Distill Qwen 1.5B comparison will break down every critical metric to help you make the best decision.

Explore best-for scenarios•Let the AI Selector recommend next steps

Model Snapshot

Key decision metrics at a glance.

Nova 2.0 Pro Preview (low)

Other

Reasoning: 6
Coding: 2
Multimodal: 3
Long Context: 4
Blended Price / 1M tokens: $0.003
P95 Latency: 1000ms
Tokens per second: 132.946tokens/sec

DeepSeek R1 Distill Qwen 1.5B

DeepSeek

Reasoning: 2
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 Nova 2.0 Pro Preview (low) vs DeepSeek R1 Distill Qwen 1.5B matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our Nova 2.0 Pro Preview (low) vs DeepSeek R1 Distill Qwen 1.5B analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `Nova 2.0 Pro Preview (low)` vs `DeepSeek R1 Distill Qwen 1.5B`.

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 Nova 2.0 Pro Preview (low) vs DeepSeek R1 Distill Qwen 1.5B debate, Nova 2.0 Pro Preview (low) scores 60 against DeepSeek R1 Distill Qwen 1.5B's 20. This data-driven approach is essential for any serious Nova 2.0 Pro Preview (low) vs DeepSeek R1 Distill Qwen 1.5B comparison.

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

Speed & Latency

Speed is a crucial factor in the Nova 2.0 Pro Preview (low) vs DeepSeek R1 Distill Qwen 1.5B decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

Nova 2.0 Pro Preview (low)300ms

DeepSeek R1 Distill Qwen 1.5B300ms

Tokens per Second

Nova 2.0 Pro Preview (low)132.946

DeepSeek R1 Distill Qwen 1.5B63

Head to the playground to validate these results yourself

The Economics of Nova 2.0 Pro Preview (low) vs DeepSeek R1 Distill Qwen 1.5B

Power is only one part of the equation. This Nova 2.0 Pro Preview (low) vs DeepSeek R1 Distill Qwen 1.5B 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, Nova 2.0 Pro Preview (low) would cost $0.004, whereas DeepSeek R1 Distill Qwen 1.5B would cost $0.018. This practical calculation is vital for any developer considering the Nova 2.0 Pro Preview (low) vs DeepSeek R1 Distill Qwen 1.5B choice.

Review the complete pricing and packaging strategy

Which Model Wins the Nova 2.0 Pro Preview (low) vs DeepSeek R1 Distill Qwen 1.5B Battle for You?

Choose Nova 2.0 Pro Preview (low) if...

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

You need the most advanced reasoning capabilities available.

Your use case demands cutting-edge AI performance.

Choose DeepSeek R1 Distill Qwen 1.5B if...

You are developing at scale where operational costs are critical.

You prioritize cost-effectiveness over maximum performance.

Your workload requires consistent, reliable performance.

Explore all Best picks Use the AI Selector for a tailored recommendation

Your Questions about the Nova 2.0 Pro Preview (low) vs DeepSeek R1 Distill Qwen 1.5B Comparison

Review the full evaluation methodology · Read the latest analysis posts

Data source: https://artificialanalysis.ai/