The AI arena is free today

Open Superagent

DeepSeek VL2 Tiny vs Qwen3-Next-80B-A3B-Instruct

Qwen3-Next-80B-A3B-Instruct leads the LLM Stats Score 20.1 to -4.7.

DeepSeek · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen3-Next-80B-A3B-Instruct leads the overall LLM Stats Score 20.1 to -4.7, ranking #203 overall.

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

Choose DeepSeek VL2 Tiny

  • you are already invested in the DeepSeek ecosystem

Choose Qwen3-Next-80B-A3B-Instruct

  • overall performance matters — it scores 20.1 and ranks #203 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2025

At a glance

The differences that matter most.

DeepSeek VL2 Tiny
DeepSeek
Qwen3-Next-80B-A3B-Instruct
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
-4.7
#357
20.1
#203
Reasoning
-12.7
#368
19.9
#198
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.09 / M
Output price
— / M
$1.10 / M
Context window
—
262,144

Individual benchmarks

14 reported for DeepSeek VL2 Tiny · 24 for Qwen3-Next-80B-A3B-Instruct

No common benchmarks found

DeepSeek VL2 Tiny and Qwen3-Next-80B-A3B-Instructdon'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

Model Size

Parameter count comparison

77.0B diff

Qwen3-Next-80B-A3B-Instruct has 77.0B more parameters than DeepSeek VL2 Tiny, making it 2566.7% larger.

DeepSeek
DeepSeek VL2 Tiny
3.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Instruct
80.0Bparameters
3.0B
DeepSeek VL2 Tiny
80.0B
Qwen3-Next-80B-A3B-Instruct

Context Window

Maximum input and output token capacity

Only Qwen3-Next-80B-A3B-Instruct specifies input context (262,144 tokens). Only Qwen3-Next-80B-A3B-Instruct specifies output context (262,144 tokens).

DeepSeek
DeepSeek VL2 Tiny
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Instruct
Input262,144 tokens
Output262,144 tokens
Wed Sep 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

DeepSeek VL2 Tiny supports multimodal inputs, whereas Qwen3-Next-80B-A3B-Instruct does not.

DeepSeek VL2 Tiny can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek VL2 Tiny

Text
Images
Audio
Video

Qwen3-Next-80B-A3B-Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 Tiny is licensed under deepseek, while Qwen3-Next-80B-A3B-Instruct uses Apache 2.0.

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

DeepSeek VL2 Tiny

deepseek

Open weights

Qwen3-Next-80B-A3B-Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek VL2 Tiny was released on 2024-12-13, while Qwen3-Next-80B-A3B-Instruct was released on 2025-09-10.

Qwen3-Next-80B-A3B-Instruct is 9 months newer than DeepSeek VL2 Tiny.

DeepSeek VL2 Tiny

Dec 13, 2024

1.8 years ago

Qwen3-Next-80B-A3B-Instruct

Sep 10, 2025

1.0 years ago

9mo newer

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 VL2 Tiny and Qwen3-Next-80B-A3B-Instruct side-by-side, then vote on the output you prefer.

DeepSeek VL2 Tiny
✓ Preferred
Qwen3-Next-80B-A3B-Instruct
Open in Playground

FAQ

Common questions about DeepSeek VL2 Tiny vs Qwen3-Next-80B-A3B-Instruct.

Which is better, DeepSeek VL2 Tiny or Qwen3-Next-80B-A3B-Instruct?

Qwen3-Next-80B-A3B-Instruct leads the LLM Stats Score 20.1 to -4.7. DeepSeek VL2 Tiny is made by DeepSeek and Qwen3-Next-80B-A3B-Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek VL2 Tiny compare to Qwen3-Next-80B-A3B-Instruct in benchmarks?

DeepSeek VL2 Tiny scores DocVQA: 88.9%, ChartQA: 81.0%, OCRBench: 80.9%, TextVQA: 80.7%, AI2D: 71.6%. Qwen3-Next-80B-A3B-Instruct scores MMLU-Redux: 90.9%, MultiPL-E: 87.8%, IFEval: 87.6%, WritingBench: 87.3%, Creative Writing v3: 85.3%.

What are the context window sizes for DeepSeek VL2 Tiny and Qwen3-Next-80B-A3B-Instruct?

DeepSeek VL2 Tiny supports an unknown number of tokens and Qwen3-Next-80B-A3B-Instruct supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek VL2 Tiny and Qwen3-Next-80B-A3B-Instruct?

Key differences include LLM Stats Score (-4.7 vs 20.1), multimodal support (yes vs no), licensing (deepseek vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 Tiny and Qwen3-Next-80B-A3B-Instruct?

DeepSeek VL2 Tiny is developed by DeepSeek and Qwen3-Next-80B-A3B-Instruct is developed by Alibaba Cloud / Qwen Team.

Related comparisons