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DeepSeek-V4.1-Flash vs Qwen3-Next-80B-A3B-Base

Comparing DeepSeek-V4.1-Flash and Qwen3-Next-80B-A3B-Base across benchmarks, pricing, and capabilities.

DeepSeek · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash and Qwen3-Next-80B-A3B-Base trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

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

Choose DeepSeek-V4.1-Flash

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

Choose Qwen3-Next-80B-A3B-Base

  • you are already invested in the Alibaba Cloud / Qwen Team ecosystem

At a glance

The differences that matter most.

Benchmark wins
Input price
$0.22 / M
— / M
Output price
$0.66 / M
— / M
Context window
1,040,000

Individual benchmarks

20 reported for DeepSeek-V4.1-Flash · 0 for Qwen3-Next-80B-A3B-Base

No common benchmarks found

DeepSeek-V4.1-Flash and Qwen3-Next-80B-A3B-Basedon'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

683.2B diff

DeepSeek-V4.1-Flash has 683.2B more parameters than Qwen3-Next-80B-A3B-Base, making it 854.0% larger.

DeepSeek
DeepSeek-V4.1-Flash
763.2Bparameters
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Base
80.0Bparameters
763.2B
DeepSeek-V4.1-Flash
80.0B
Qwen3-Next-80B-A3B-Base

Context Window

Maximum input and output token capacity

Only DeepSeek-V4.1-Flash specifies input context (1,040,000 tokens). Only DeepSeek-V4.1-Flash specifies output context (393,216 tokens).

DeepSeek
DeepSeek-V4.1-Flash
Input1,040,000 tokens
Output393,216 tokens
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Base
Input- tokens
Output- tokens
Sun Sep 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

DeepSeek-V4.1-Flash supports multimodal inputs, whereas Qwen3-Next-80B-A3B-Base does not.

DeepSeek-V4.1-Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V4.1-Flash

Text
Images
Audio
Video

Qwen3-Next-80B-A3B-Base

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4.1-Flash is licensed under MIT, while Qwen3-Next-80B-A3B-Base uses Apache 2.0.

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

DeepSeek-V4.1-Flash

MIT

Open weights

Qwen3-Next-80B-A3B-Base

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V4.1-Flash was released on 2026-09-10, while Qwen3-Next-80B-A3B-Base was released on 2025-09-10.

DeepSeek-V4.1-Flash is 12 months newer than Qwen3-Next-80B-A3B-Base.

DeepSeek-V4.1-Flash

Sep 10, 2026

1 weeks ago

1.0yr newer
Qwen3-Next-80B-A3B-Base

Sep 10, 2025

1.0 years 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?Start an Issue discussion

Judge for yourself.

Run your own prompts against DeepSeek-V4.1-Flash and Qwen3-Next-80B-A3B-Base side-by-side, then vote on the output you prefer.

DeepSeek-V4.1-Flash
✓ Preferred
Qwen3-Next-80B-A3B-Base
Open in Playground

FAQ

Common questions about DeepSeek-V4.1-Flash vs Qwen3-Next-80B-A3B-Base.

Which is better, DeepSeek-V4.1-Flash or Qwen3-Next-80B-A3B-Base?

DeepSeek-V4.1-Flash (DeepSeek) and Qwen3-Next-80B-A3B-Base (Alibaba Cloud / Qwen Team) 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-V4.1-Flash compare to Qwen3-Next-80B-A3B-Base in benchmarks?

DeepSeek-V4.1-Flash scores CodeForces: 100.0%, GPQA: 90.9%, Terminal-Bench 2.1: 90.6%, BabyVision: 89.6%, CyberGym: 88.1%.

What are the context window sizes for DeepSeek-V4.1-Flash and Qwen3-Next-80B-A3B-Base?

DeepSeek-V4.1-Flash supports 1.0M tokens and Qwen3-Next-80B-A3B-Base 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 and Qwen3-Next-80B-A3B-Base?

Key differences include multimodal support (yes vs no), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4.1-Flash and Qwen3-Next-80B-A3B-Base?

DeepSeek-V4.1-Flash is developed by DeepSeek and Qwen3-Next-80B-A3B-Base is developed by Alibaba Cloud / Qwen Team.