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Parse vs Qwen3-Next-80B-A3B-Base

Comparing Parse and Qwen3-Next-80B-A3B-Base across benchmarks, pricing, and capabilities.

Cohere · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Parse 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 Parse

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

Choose Qwen3-Next-80B-A3B-Base

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

At a glance

The differences that matter most.

Parse
Cohere
Qwen3-Next-80B-A3B-Base
Alibaba Cloud / Qwen Team
Benchmark wins
—
—
Input price
— / M
— / M
Output price
— / M
— / M
Context window
8,192
—

Individual benchmarks

1 reported for Parse · 0 for Qwen3-Next-80B-A3B-Base

No common benchmarks found

Parse 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

77.7B diff

Qwen3-Next-80B-A3B-Base has 77.7B more parameters than Parse, making it 3378.3% larger.

Cohere
Parse
2.3Bparameters
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Base
80.0Bparameters
2.3B
Parse
80.0B
Qwen3-Next-80B-A3B-Base

Context Window

Maximum input and output token capacity

Only Parse specifies input context (8,192 tokens).

Cohere
Parse
Input8,192 tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Base
Input- tokens
Output- tokens
Tue Sep 01 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Parse supports multimodal inputs, whereas Qwen3-Next-80B-A3B-Base does not.

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

Parse

Text
Images
Audio
Video

Qwen3-Next-80B-A3B-Base

Text
Images
Audio
Video

License

Usage and distribution terms

Parse is licensed under a proprietary license, 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.

Parse

Proprietary

Closed source

Qwen3-Next-80B-A3B-Base

Apache 2.0

Open weights

Release Timeline

When each model was launched

Parse was released on 2026-08-27, while Qwen3-Next-80B-A3B-Base was released on 2025-09-10.

Parse is 12 months newer than Qwen3-Next-80B-A3B-Base.

Parse

Aug 27, 2026

4 days ago

11mo newer
Qwen3-Next-80B-A3B-Base

Sep 10, 2025

11 months 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 Parse and Qwen3-Next-80B-A3B-Base side-by-side, then vote on the output you prefer.

Parse
✓ Preferred
Qwen3-Next-80B-A3B-Base
Open in Playground

FAQ

Common questions about Parse vs Qwen3-Next-80B-A3B-Base.

Which is better, Parse or Qwen3-Next-80B-A3B-Base?

Parse (Cohere) 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 Parse compare to Qwen3-Next-80B-A3B-Base in benchmarks?

Parse scores ParseBench: 79.2%.

What are the context window sizes for Parse and Qwen3-Next-80B-A3B-Base?

Parse supports 8K 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 Parse and Qwen3-Next-80B-A3B-Base?

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

Who makes Parse and Qwen3-Next-80B-A3B-Base?

Parse is developed by Cohere and Qwen3-Next-80B-A3B-Base is developed by Alibaba Cloud / Qwen Team.

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