Model Comparison

Qwen3-Next-80B-A3B-Thinking vs Qwen3 VL 4B Thinking

Qwen3-Next-80B-A3B-Thinking significantly outperforms across most benchmarks. Qwen3 VL 4B Thinking is 1.5x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

16 benchmarks

Qwen3-Next-80B-A3B-Thinking outperforms in 16 benchmarks (AIME 2025, Arena-Hard v2, BFCL-v3, GPQA, HMMT25, IFEval, Include, LiveBench 20241125, LiveCodeBench v6, MMLU-Pro, MMLU-ProX, MMLU-Redux, Multi-IF, PolyMATH, SuperGPQA, WritingBench), while Qwen3 VL 4B Thinking is better at 0 benchmarks.

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

Thu May 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3 VL 4B Thinking costs less

For input processing, Qwen3-Next-80B-A3B-Thinking ($0.15/1M tokens) is 1.5x more expensive than Qwen3 VL 4B Thinking ($0.10/1M tokens).

For output processing, Qwen3-Next-80B-A3B-Thinking ($1.50/1M tokens) is 1.5x more expensive than Qwen3 VL 4B Thinking ($1.00/1M tokens).

In conclusion, Qwen3-Next-80B-A3B-Thinking is more expensive than Qwen3 VL 4B Thinking.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers

Thu May 14 2026 • llm-stats.com

Qwen3-Next-80B-A3B-Thinking

Input tokens$0.15

Output tokens$1.50

Best providerNovita

Qwen3 VL 4B Thinking

Input tokens$0.10

Output tokens$1.00

Best providerDeepinfra

Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

76.0B diff

Qwen3-Next-80B-A3B-Thinking has 76.0B more parameters than Qwen3 VL 4B Thinking, making it 1900.0% larger.

Qwen3-Next-80B-A3B-Thinking

80.0Bparameters

Qwen3 VL 4B Thinking

4.0Bparameters

80.0B

Qwen3-Next-80B-A3B-Thinking

4.0B

Qwen3 VL 4B Thinking

Context Window

Maximum input and output token capacity

Qwen3 VL 4B Thinking accepts 262,144 input tokens compared to Qwen3-Next-80B-A3B-Thinking's 65,536 tokens. Qwen3 VL 4B Thinking can generate longer responses up to 262,144 tokens, while Qwen3-Next-80B-A3B-Thinking is limited to 65,536 tokens.

Qwen3-Next-80B-A3B-Thinking

Input65,536 tokens

Output65,536 tokens

Qwen3 VL 4B Thinking

Input262,144 tokens

Output262,144 tokens

Thu May 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3 VL 4B Thinking supports multimodal inputs, whereas Qwen3-Next-80B-A3B-Thinking does not.

Qwen3 VL 4B Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.

Qwen3-Next-80B-A3B-Thinking

Text

Images

Audio

Video

Qwen3 VL 4B Thinking

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.

Qwen3-Next-80B-A3B-Thinking

Apache 2.0

Open weights

Qwen3 VL 4B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Qwen3-Next-80B-A3B-Thinking was released on 2025-09-10, while Qwen3 VL 4B Thinking was released on 2025-09-22.

Qwen3 VL 4B Thinking is 0 month newer than Qwen3-Next-80B-A3B-Thinking.

Qwen3-Next-80B-A3B-Thinking

Sep 10, 2025

8 months ago

Qwen3 VL 4B Thinking

Sep 22, 2025

7 months ago

1w 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

Provider Availability

Qwen3-Next-80B-A3B-Thinking is available from Novita. Qwen3 VL 4B Thinking is available from DeepInfra.

Qwen3-Next-80B-A3B-Thinking

Novita

Input Price:Input: $0.15/1MOutput Price:Output: $1.50/1M

Qwen3 VL 4B Thinking

Deepinfra

Input Price:Input: $0.10/1MOutput Price:Output: $1.00/1M

* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Qwen3-Next-80B-A3B-Thinking

View details

Alibaba Cloud / Qwen Team

Higher AIME 2025 score (87.8% vs 74.5%)

Higher Arena-Hard v2 score (62.3% vs 36.8%)

Higher BFCL-v3 score (72.0% vs 67.3%)

Higher GPQA score (77.2% vs 64.1%)

Higher HMMT25 score (73.9% vs 53.1%)

Higher IFEval score (88.9% vs 82.6%)

Higher Include score (78.9% vs 64.6%)

Higher LiveBench 20241125 score (76.6% vs 68.4%)

Higher LiveCodeBench v6 score (68.7% vs 51.3%)

Higher MMLU-Pro score (82.7% vs 73.6%)

Higher MMLU-ProX score (78.7% vs 65.0%)

Higher MMLU-Redux score (92.5% vs 86.0%)

Higher Multi-IF score (77.8% vs 73.6%)

Higher PolyMATH score (56.3% vs 44.6%)

Higher SuperGPQA score (60.8% vs 46.8%)

Higher WritingBench score (84.6% vs 84.0%)

Qwen3 VL 4B Thinking

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)

Supports multimodal inputs

Less expensive input tokens

Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature	Qwen3-Next-80B-A3B-Thinking	Qwen3 VL 4B Thinking

FAQ

Common questions about Qwen3-Next-80B-A3B-Thinking vs Qwen3 VL 4B Thinking.

Which is better, Qwen3-Next-80B-A3B-Thinking or Qwen3 VL 4B Thinking?

Qwen3-Next-80B-A3B-Thinking significantly outperforms across most benchmarks. Qwen3-Next-80B-A3B-Thinking is made by Alibaba Cloud / Qwen Team and Qwen3 VL 4B Thinking is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Qwen3-Next-80B-A3B-Thinking compare to Qwen3 VL 4B Thinking in benchmarks?

Qwen3-Next-80B-A3B-Thinking scores MMLU-Redux: 92.5%, IFEval: 88.9%, AIME 2025: 87.8%, WritingBench: 84.6%, MMLU-Pro: 82.7%. Qwen3 VL 4B Thinking scores DocVQAtest: 94.2%, ScreenSpot: 92.9%, MMBench-V1.1: 86.7%, MMLU-Redux: 86.0%, AI2D: 84.9%.

Is Qwen3-Next-80B-A3B-Thinking cheaper than Qwen3 VL 4B Thinking?

Qwen3 VL 4B Thinking is 1.5x cheaper for input tokens. Qwen3-Next-80B-A3B-Thinking costs $0.15/M input and $1.50/M output via novita. Qwen3 VL 4B Thinking costs $0.10/M input and $1.00/M output via deepinfra.

What are the context window sizes for Qwen3-Next-80B-A3B-Thinking and Qwen3 VL 4B Thinking?

Qwen3-Next-80B-A3B-Thinking supports 66K tokens and Qwen3 VL 4B Thinking 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 Qwen3-Next-80B-A3B-Thinking and Qwen3 VL 4B Thinking?

Key differences include context window (66K vs 262K), input pricing ($0.15 vs $0.10/M), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.