The AI arena is free today

Open Superagent

DeepSeek-V4-Flash-Vision-Exp vs Llama-3.3 Nemotron Super 49B v1

Comparing DeepSeek-V4-Flash-Vision-Exp and Llama-3.3 Nemotron Super 49B v1 across benchmarks, pricing, and capabilities.

DeepSeek · NVIDIA · Updated for 2026

Which is better?

DeepSeek-V4-Flash-Vision-Exp and Llama-3.3 Nemotron Super 49B v1 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-3.3 Nemotron Super 49B v1

  • 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
Mar 2025
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-3.3 Nemotron Super 49B v1don'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-3.3 Nemotron Super 49B v1
Input- tokens
Output- tokens
Tue Aug 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

DeepSeek-V4-Flash-Vision-Exp supports multimodal inputs, whereas Llama-3.3 Nemotron Super 49B v1 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-3.3 Nemotron Super 49B v1

Text
Images
Audio
Video

Release Timeline

When each model was launched

DeepSeek-V4-Flash-Vision-Exp was released on 2026-08-21, while Llama-3.3 Nemotron Super 49B v1 was released on 2025-03-18.

DeepSeek-V4-Flash-Vision-Exp is 17 months newer than Llama-3.3 Nemotron Super 49B v1.

DeepSeek-V4-Flash-Vision-Exp

Aug 21, 2026

3 days ago

1.4yr newer
Llama-3.3 Nemotron Super 49B v1

Mar 18, 2025

1.4 years ago

Knowledge Cutoff

When training data ends

Llama-3.3 Nemotron Super 49B v1 has a documented knowledge cutoff of 2023-12-31, while DeepSeek-V4-Flash-Vision-Exp's cutoff date is not specified.

We can confirm Llama-3.3 Nemotron Super 49B v1's training data extends to 2023-12-31, but cannot make a direct comparison without DeepSeek-V4-Flash-Vision-Exp's cutoff date.

DeepSeek-V4-Flash-Vision-Exp

Llama-3.3 Nemotron Super 49B v1

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-3.3 Nemotron Super 49B v1 side-by-side, then vote on the output you prefer.

DeepSeek-V4-Flash-Vision-Exp
✓ Preferred
Llama-3.3 Nemotron Super 49B v1
Open in Playground

FAQ

Common questions about DeepSeek-V4-Flash-Vision-Exp vs Llama-3.3 Nemotron Super 49B v1.

Which is better, DeepSeek-V4-Flash-Vision-Exp or Llama-3.3 Nemotron Super 49B v1?

DeepSeek-V4-Flash-Vision-Exp (DeepSeek) and Llama-3.3 Nemotron Super 49B v1 (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-3.3 Nemotron Super 49B v1 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-3.3 Nemotron Super 49B v1 scores MATH-500: 96.6%, MT-Bench: 91.7%, MBPP: 91.3%, Arena Hard: 88.3%, BFCL v2: 73.7%.

What are the context window sizes for DeepSeek-V4-Flash-Vision-Exp and Llama-3.3 Nemotron Super 49B v1?

DeepSeek-V4-Flash-Vision-Exp supports 1.0M tokens and Llama-3.3 Nemotron Super 49B 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-V4-Flash-Vision-Exp and Llama-3.3 Nemotron Super 49B v1?

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-3.3 Nemotron Super 49B v1?

DeepSeek-V4-Flash-Vision-Exp is developed by DeepSeek and Llama-3.3 Nemotron Super 49B v1 is developed by NVIDIA.