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DeepSeek-V4-Flash-Vision-Exp vs Llama 3.1 Nemotron 70B Instruct

Comparing DeepSeek-V4-Flash-Vision-Exp and Llama 3.1 Nemotron 70B Instruct across benchmarks, pricing, and capabilities.

DeepSeek · NVIDIA · Updated for 2026

Which is better?

DeepSeek-V4-Flash-Vision-Exp and Llama 3.1 Nemotron 70B Instruct trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Based on current benchmark, pricing, and model metadata for 2026.

Choose DeepSeek-V4-Flash-Vision-Exp

  • you want the most recent training data — it shipped Aug 2026

Choose Llama 3.1 Nemotron 70B Instruct

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Benchmark wins
Input price
$0.22 / M
— / M
Output price
$0.66 / M
— / M
Context window
1,048,576
Released
Aug 2026
Oct 2024
License
Unknown
Llama 3.1 Community License

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-V4-Flash-Vision-Exp and Llama 3.1 Nemotron 70B Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Context Window

Maximum input and output token capacity

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

DeepSeek
DeepSeek-V4-Flash-Vision-Exp
Input1,048,576 tokens
Output393,216 tokens
NVIDIA
Llama 3.1 Nemotron 70B Instruct
Input- tokens
Output- tokens
Mon Aug 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

DeepSeek-V4-Flash-Vision-Exp supports multimodal inputs, whereas Llama 3.1 Nemotron 70B Instruct does not.

DeepSeek-V4-Flash-Vision-Exp can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V4-Flash-Vision-Exp

Text
Images
Audio
Video

Llama 3.1 Nemotron 70B Instruct

Text
Images
Audio
Video

Release Timeline

When each model was launched

DeepSeek-V4-Flash-Vision-Exp was released on 2026-08-21, while Llama 3.1 Nemotron 70B Instruct was released on 2024-10-01.

DeepSeek-V4-Flash-Vision-Exp is 23 months newer than Llama 3.1 Nemotron 70B Instruct.

DeepSeek-V4-Flash-Vision-Exp

Aug 21, 2026

3 days ago

1.9yr newer
Llama 3.1 Nemotron 70B Instruct

Oct 1, 2024

1.9 years ago

Knowledge Cutoff

When training data ends

Llama 3.1 Nemotron 70B Instruct has a documented knowledge cutoff of 2023-12-01, while DeepSeek-V4-Flash-Vision-Exp's cutoff date is not specified.

We can confirm Llama 3.1 Nemotron 70B Instruct's training data extends to 2023-12-01, but cannot make a direct comparison without DeepSeek-V4-Flash-Vision-Exp's cutoff date.

DeepSeek-V4-Flash-Vision-Exp

Llama 3.1 Nemotron 70B Instruct

Dec 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against DeepSeek-V4-Flash-Vision-Exp and Llama 3.1 Nemotron 70B Instruct side-by-side, then vote on the output you prefer.

DeepSeek-V4-Flash-Vision-Exp
✓ Preferred
Llama 3.1 Nemotron 70B Instruct
Open in Playground

FAQ

Common questions about DeepSeek-V4-Flash-Vision-Exp vs Llama 3.1 Nemotron 70B Instruct.

Which is better, DeepSeek-V4-Flash-Vision-Exp or Llama 3.1 Nemotron 70B Instruct?

DeepSeek-V4-Flash-Vision-Exp (DeepSeek) and Llama 3.1 Nemotron 70B Instruct (NVIDIA) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does DeepSeek-V4-Flash-Vision-Exp compare to Llama 3.1 Nemotron 70B Instruct in benchmarks?

DeepSeek-V4-Flash-Vision-Exp scores Terminal-Bench 2.1: 83.9%, DSBench-Hard: 63.6%, DeepSWE: 59.3%, NL2Repo: 57.7%, ZEROBench: 35.0%. Llama 3.1 Nemotron 70B Instruct scores GSM8k: 91.4%, HellaSwag: 85.6%, Winogrande: 84.5%, GSM8K Chat: 81.9%, MMLU Chat: 80.6%.

What are the context window sizes for DeepSeek-V4-Flash-Vision-Exp and Llama 3.1 Nemotron 70B Instruct?

DeepSeek-V4-Flash-Vision-Exp supports 1.0M tokens and Llama 3.1 Nemotron 70B Instruct 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-Flash-Vision-Exp and Llama 3.1 Nemotron 70B Instruct?

Key differences include multimodal support (yes vs no), licensing (Unknown vs Llama 3.1 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4-Flash-Vision-Exp and Llama 3.1 Nemotron 70B Instruct?

DeepSeek-V4-Flash-Vision-Exp is developed by DeepSeek and Llama 3.1 Nemotron 70B Instruct is developed by NVIDIA.