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DeepSeek R1 Distill Qwen 1.5B vs Nova Pro

Nova Pro leads the LLM Stats Score 12.8 to -2.4.

DeepSeek · Amazon · Updated for 2026

Which is better?

Nova Pro leads the overall LLM Stats Score 12.8 to -2.4, ranking #229 overall.

In the 1 individual benchmarks reported for both models, Nova Pro wins 1; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose DeepSeek R1 Distill Qwen 1.5B

  • you want the most recent training data — it shipped Jan 2025
  • you need open weights you can self-host or fine-tune

Choose Nova Pro

  • overall performance matters — it scores 12.8 and ranks #229 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results

At a glance

The differences that matter most.

Core performance indexes
-2.4
#320
12.8
#229
-2.0
#310
12.5
#227
-4.5
#241
10.3
#150
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
— / M
$0.80 / M
Output price
— / M
$3.20 / M
Context window
300,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek R1 Distill Qwen 1.5B
Nova Pro
5.7#255
19.2#160
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Distill Qwen 1.5B · 27 for Nova Pro

1 shared

DeepSeek R1 Distill Qwen 1.5B outperforms in 0 benchmarks, while Nova Pro is better at 1 benchmark (GPQA).

Nova Pro significantly outperforms across most benchmarks.

Fri Aug 28 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Nova Pro specifies input context (300,000 tokens). Only Nova Pro specifies output context (300,000 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 1.5B
Input- tokens
Output- tokens
Amazon
Nova Pro
Input300,000 tokens
Output300,000 tokens
Fri Aug 28 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Nova Pro supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 1.5B does not.

Nova Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek R1 Distill Qwen 1.5B

Text
Images
Audio
Video

Nova Pro

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 1.5B is licensed under MIT, while Nova Pro uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek R1 Distill Qwen 1.5B

MIT

Open weights

Nova Pro

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 1.5B was released on 2025-01-20, while Nova Pro was released on 2024-11-20.

DeepSeek R1 Distill Qwen 1.5B is 2 months newer than Nova Pro.

DeepSeek R1 Distill Qwen 1.5B

Jan 20, 2025

1.6 years ago

2mo newer
Nova Pro

Nov 20, 2024

1.8 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against DeepSeek R1 Distill Qwen 1.5B and Nova Pro side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Qwen 1.5B
✓ Preferred
Nova Pro
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Qwen 1.5B vs Nova Pro.

Which is better, DeepSeek R1 Distill Qwen 1.5B or Nova Pro?

Nova Pro leads the LLM Stats Score 12.8 to -2.4. DeepSeek R1 Distill Qwen 1.5B is made by DeepSeek and Nova Pro is made by Amazon. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek R1 Distill Qwen 1.5B compare to Nova Pro in benchmarks?

DeepSeek R1 Distill Qwen 1.5B scores MATH-500: 83.9%, AIME 2024: 52.7%, GPQA: 33.8%, LiveCodeBench: 16.9%. Nova Pro scores ARC-C: 94.8%, GSM8k: 94.8%, DocVQA: 93.5%, IFEval: 92.1%, ChartQA: 89.2%.

What are the context window sizes for DeepSeek R1 Distill Qwen 1.5B and Nova Pro?

DeepSeek R1 Distill Qwen 1.5B supports an unknown number of tokens and Nova Pro supports 300K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek R1 Distill Qwen 1.5B and Nova Pro?

Key differences include LLM Stats Score (-2.4 vs 12.8), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Qwen 1.5B and Nova Pro?

DeepSeek R1 Distill Qwen 1.5B is developed by DeepSeek and Nova Pro is developed by Amazon.