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DeepSeek-V3.1 vs Llama 3.1 Nemotron Ultra 253B v1

DeepSeek-V3.1 and Llama 3.1 Nemotron Ultra 253B v1 are closely matched at 22.1 and 19.1 on the LLM Stats Score.

DeepSeek · NVIDIA · Updated for 2026

Which is better?

DeepSeek-V3.1 and Llama 3.1 Nemotron Ultra 253B v1 are closely matched on the overall LLM Stats Score at 22.1 and 19.1.

In the 3 individual benchmarks reported for both models, Llama 3.1 Nemotron Ultra 253B v1 wins 3; 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-V3.1

  • you want predictable pricing at $0.25/M input and $0.95/M output

Choose Llama 3.1 Nemotron Ultra 253B v1

  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results
  • you want the most recent training data — it shipped Apr 2025

At a glance

The differences that matter most.

DeepSeek-V3.1
DeepSeek
Llama 3.1 Nemotron Ultra 253B v1
NVIDIA
Core performance indexes
LLM Stats Score
22.1
#179
19.1
#206
Reasoning
22.3
#171
18.8
#205
Coding
12.5
#144
12.4
#145
Cost, coverage & limits
Benchmark wins
0 of 3
3 of 3
Input price
$0.25 / M
— / M
Output price
$0.95 / M
— / M
Context window
163,840
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek-V3.1
Llama 3.1 Nemotron Ultra 253B v1
Math
18.7#180
15.6#214
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for DeepSeek-V3.1 · 6 for Llama 3.1 Nemotron Ultra 253B v1

3 shared

DeepSeek-V3.1 outperforms in 0 benchmarks, while Llama 3.1 Nemotron Ultra 253B v1 is better at 3 benchmarks (AIME 2025, GPQA, LiveCodeBench).

Llama 3.1 Nemotron Ultra 253B v1 significantly outperforms across most benchmarks.

Mon Sep 21 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

418.0B diff

DeepSeek-V3.1 has 418.0B more parameters than Llama 3.1 Nemotron Ultra 253B v1, making it 165.2% larger.

DeepSeek
DeepSeek-V3.1
671.0Bparameters
NVIDIA
Llama 3.1 Nemotron Ultra 253B v1
253.0Bparameters
671.0B
DeepSeek-V3.1
253.0B
Llama 3.1 Nemotron Ultra 253B v1

Context Window

Maximum input and output token capacity

Only DeepSeek-V3.1 specifies input context (163,840 tokens). Only DeepSeek-V3.1 specifies output context (163,840 tokens).

DeepSeek
DeepSeek-V3.1
Input163,840 tokens
Output163,840 tokens
NVIDIA
Llama 3.1 Nemotron Ultra 253B v1
Input- tokens
Output- tokens
Mon Sep 21 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3.1 is licensed under MIT, while Llama 3.1 Nemotron Ultra 253B v1 uses Llama 3.1 Community License.

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

DeepSeek-V3.1

MIT

Open weights

Llama 3.1 Nemotron Ultra 253B v1

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

DeepSeek-V3.1 was released on 2025-01-10, while Llama 3.1 Nemotron Ultra 253B v1 was released on 2025-04-07.

Llama 3.1 Nemotron Ultra 253B v1 is 3 months newer than DeepSeek-V3.1.

DeepSeek-V3.1

Jan 10, 2025

1.7 years ago

Llama 3.1 Nemotron Ultra 253B v1

Apr 7, 2025

1.5 years ago

2mo newer

Knowledge Cutoff

When training data ends

Llama 3.1 Nemotron Ultra 253B v1 has a documented knowledge cutoff of 2023-12-01, while DeepSeek-V3.1's cutoff date is not specified.

We can confirm Llama 3.1 Nemotron Ultra 253B v1's training data extends to 2023-12-01, but cannot make a direct comparison without DeepSeek-V3.1's cutoff date.

DeepSeek-V3.1

—

Llama 3.1 Nemotron Ultra 253B v1

Dec 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek-V3.1 and Llama 3.1 Nemotron Ultra 253B v1 side-by-side, then vote on the output you prefer.

DeepSeek-V3.1
✓ Preferred
Llama 3.1 Nemotron Ultra 253B v1
Open in Playground

FAQ

Common questions about DeepSeek-V3.1 vs Llama 3.1 Nemotron Ultra 253B v1.

Which is better, DeepSeek-V3.1 or Llama 3.1 Nemotron Ultra 253B v1?

DeepSeek-V3.1 and Llama 3.1 Nemotron Ultra 253B v1 are closely matched on the LLM Stats Score at 22.1 and 19.1. DeepSeek-V3.1 is made by DeepSeek and Llama 3.1 Nemotron Ultra 253B v1 is made by NVIDIA. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek-V3.1 compare to Llama 3.1 Nemotron Ultra 253B v1 in benchmarks?

DeepSeek-V3.1 scores SimpleQA: 93.4%, MMLU-Redux: 91.8%, MMLU-Pro: 83.7%, GPQA: 74.9%, CodeForces: 69.7%. Llama 3.1 Nemotron Ultra 253B v1 scores MATH-500: 97.0%, IFEval: 89.5%, GPQA: 76.0%, BFCL v2: 74.1%, AIME 2025: 72.5%.

What are the context window sizes for DeepSeek-V3.1 and Llama 3.1 Nemotron Ultra 253B v1?

DeepSeek-V3.1 supports 164K tokens and Llama 3.1 Nemotron Ultra 253B v1 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-V3.1 and Llama 3.1 Nemotron Ultra 253B v1?

Key differences include LLM Stats Score (22.1 vs 19.1), licensing (MIT vs Llama 3.1 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3.1 and Llama 3.1 Nemotron Ultra 253B v1?

DeepSeek-V3.1 is developed by DeepSeek and Llama 3.1 Nemotron Ultra 253B v1 is developed by NVIDIA.

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