Model Comparison

Qwen2.5-Omni-7B vs Qwen3-Next-80B-A3B-Instruct

Qwen3-Next-80B-A3B-Instruct significantly outperforms across most benchmarks.

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Qwen2.5-Omni-7B outperforms in 0 benchmarks, while Qwen3-Next-80B-A3B-Instruct is better at 4 benchmarks (GPQA, MMLU-Pro, MMLU-Redux, MultiPL-E).

Qwen3-Next-80B-A3B-Instruct significantly outperforms across most benchmarks.

Fri May 01 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Fri May 01 2026 • llm-stats.com
Alibaba Cloud / Qwen Team
Qwen2.5-Omni-7B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Instruct
Input tokens$0.15
Output tokens$1.50
Best providerNovita
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

73.0B diff

Qwen3-Next-80B-A3B-Instruct has 73.0B more parameters than Qwen2.5-Omni-7B, making it 1042.9% larger.

Alibaba Cloud / Qwen Team
Qwen2.5-Omni-7B
7.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Instruct
80.0Bparameters
7.0B
Qwen2.5-Omni-7B
80.0B
Qwen3-Next-80B-A3B-Instruct

Context Window

Maximum input and output token capacity

Only Qwen3-Next-80B-A3B-Instruct specifies input context (65,536 tokens). Only Qwen3-Next-80B-A3B-Instruct specifies output context (65,536 tokens).

Alibaba Cloud / Qwen Team
Qwen2.5-Omni-7B
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Instruct
Input65,536 tokens
Output65,536 tokens
Fri May 01 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen2.5-Omni-7B supports multimodal inputs, whereas Qwen3-Next-80B-A3B-Instruct does not.

Qwen2.5-Omni-7B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Qwen2.5-Omni-7B

Text
Images
Audio
Video

Qwen3-Next-80B-A3B-Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

Qwen2.5-Omni-7B

Apache 2.0

Open weights

Qwen3-Next-80B-A3B-Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Qwen2.5-Omni-7B was released on 2025-03-27, while Qwen3-Next-80B-A3B-Instruct was released on 2025-09-10.

Qwen3-Next-80B-A3B-Instruct is 6 months newer than Qwen2.5-Omni-7B.

Qwen2.5-Omni-7B

Mar 27, 2025

1.1 years ago

Qwen3-Next-80B-A3B-Instruct

Sep 10, 2025

7 months ago

5mo 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

Key Takeaways

Alibaba Cloud / Qwen Team

Qwen2.5-Omni-7B

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs
Larger context window (65,536 tokens)
Higher GPQA score (72.9% vs 30.8%)
Higher MMLU-Pro score (80.6% vs 47.0%)
Higher MMLU-Redux score (90.9% vs 71.0%)
Higher MultiPL-E score (87.8% vs 65.8%)

Detailed Comparison

AI Model Comparison Table
Feature
Alibaba Cloud / Qwen Team
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Instruct

FAQ

Common questions about Qwen2.5-Omni-7B vs Qwen3-Next-80B-A3B-Instruct

Qwen3-Next-80B-A3B-Instruct significantly outperforms across most benchmarks. Qwen2.5-Omni-7B is made by Alibaba Cloud / Qwen Team and Qwen3-Next-80B-A3B-Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Qwen2.5-Omni-7B scores DocVQA: 95.2%, VocalSound: 93.9%, GSM8k: 88.7%, GiantSteps Tempo: 88.0%, ChartQA: 85.3%. 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%.
Qwen2.5-Omni-7B supports an unknown number of tokens and Qwen3-Next-80B-A3B-Instruct supports 66K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.