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DeepSeek-V4.1-Flash-1017 vs Nova 2 Pro

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.0 to 30.6.

DeepSeek · Amazon · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash-1017 leads the overall LLM Stats Score 51.0 to 30.6, ranking #15 overall.

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

Choose DeepSeek-V4.1-Flash-1017

  • overall performance matters — it scores 51.0 and ranks #15 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026
  • you need open weights you can self-host or fine-tune

Choose Nova 2 Pro

  • you are already invested in the Amazon ecosystem

At a glance

The differences that matter most.

DeepSeek-V4.1-Flash-1017
DeepSeek
Nova 2 Pro
Amazon
Core performance indexes
LLM Stats Score
51.0
#15
30.6
#138
Reasoning
48.6
#18
30.5
#136
Coding
39.1
#15
19.1
#126
Agents
38.6
#9
12.0
#127
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.30 / M
— / M
Output price
$1.20 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

4 shared
Index
DeepSeek-V4.1-Flash-1017
Nova 2 Pro
Math
31.8#67
25.9#112
Vision
32.2#26
12.2#121
Tool use
30.9#7
15.1#108
Multimodal
35.0#14
9.5#136
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for DeepSeek-V4.1-Flash-1017 · 18 for Nova 2 Pro

No common benchmarks found

DeepSeek-V4.1-Flash-1017 and Nova 2 Prodon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only DeepSeek-V4.1-Flash-1017 specifies input context (1,048,576 tokens). Only DeepSeek-V4.1-Flash-1017 specifies output context (393,216 tokens).

DeepSeek
DeepSeek-V4.1-Flash-1017
Input1,048,576 tokens
Output393,216 tokens
Amazon
Nova 2 Pro
Input- tokens
Output- tokens
Mon Oct 19 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek-V4.1-Flash-1017 and Nova 2 Pro support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

DeepSeek-V4.1-Flash-1017

Text
Images
Audio
Video

Nova 2 Pro

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4.1-Flash-1017 is licensed under MIT, while Nova 2 Pro uses a proprietary license.

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

DeepSeek-V4.1-Flash-1017

MIT

Open weights

Nova 2 Pro

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V4.1-Flash-1017 was released on 2026-10-17, while Nova 2 Pro was released on 2025-12-02.

DeepSeek-V4.1-Flash-1017 is 11 months newer than Nova 2 Pro.

DeepSeek-V4.1-Flash-1017

Oct 17, 2026

2 days ago

10mo newer
Nova 2 Pro

Dec 2, 2025

10 months 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?

Judge for yourself.

Run your own prompts against DeepSeek-V4.1-Flash-1017 and Nova 2 Pro side-by-side, then vote on the output you prefer.

DeepSeek-V4.1-Flash-1017
✓ Preferred
Nova 2 Pro
Open in Playground

FAQ

Common questions about DeepSeek-V4.1-Flash-1017 vs Nova 2 Pro.

Which is better, DeepSeek-V4.1-Flash-1017 or Nova 2 Pro?

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.0 to 30.6. DeepSeek-V4.1-Flash-1017 is made by DeepSeek and Nova 2 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-V4.1-Flash-1017 compare to Nova 2 Pro in benchmarks?

DeepSeek-V4.1-Flash-1017 scores BabyVision: 92.5%, Chartography: 83.0%, DeepSWE 1.1: 77.0%, NL2Repo: 68.2%, AutomationBench: 60.5%. Nova 2 Pro scores Tau2 Telecom: 92.7%, AIME 2025: 92.3%, ScreenSpot: 88.1%, LongCodeBench: 84.0%, MMLU-Pro: 81.6%.

What are the context window sizes for DeepSeek-V4.1-Flash-1017 and Nova 2 Pro?

DeepSeek-V4.1-Flash-1017 supports 1.0M tokens and Nova 2 Pro supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V4.1-Flash-1017 and Nova 2 Pro?

Key differences include LLM Stats Score (51.0 vs 30.6), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4.1-Flash-1017 and Nova 2 Pro?

DeepSeek-V4.1-Flash-1017 is developed by DeepSeek and Nova 2 Pro is developed by Amazon.

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