Model Comparison

Gemma 3 1B vs Qwen3-Next-80B-A3B-Thinking

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

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemma 3 1B outperforms in 0 benchmarks, while Qwen3-Next-80B-A3B-Thinking is better at 3 benchmarks (GPQA, IFEval, MMLU-Pro).

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

Sat Jun 06 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

79.0B diff

Qwen3-Next-80B-A3B-Thinking has 79.0B more parameters than Gemma 3 1B, making it 7900.0% larger.

Gemma 3 1B

1.0Bparameters

Qwen3-Next-80B-A3B-Thinking

80.0Bparameters

1.0B

Gemma 3 1B

80.0B

Qwen3-Next-80B-A3B-Thinking

Context Window

Maximum input and output token capacity

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

Gemma 3 1B

Input- tokens

Output- tokens

Qwen3-Next-80B-A3B-Thinking

Input65,536 tokens

Output65,536 tokens

Sat Jun 06 2026 • llm-stats.com

License

Usage and distribution terms

Gemma 3 1B is licensed under Gemma, while Qwen3-Next-80B-A3B-Thinking uses Apache 2.0.

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

Gemma 3 1B

Gemma

Open weights

Qwen3-Next-80B-A3B-Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 3 1B was released on 2025-03-12, while Qwen3-Next-80B-A3B-Thinking was released on 2025-09-10.

Qwen3-Next-80B-A3B-Thinking is 6 months newer than Gemma 3 1B.

Gemma 3 1B

Mar 12, 2025

1.2 years ago

Qwen3-Next-80B-A3B-Thinking

Sep 10, 2025

8 months ago

6mo 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

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Key Takeaways

Gemma 3 1B

View details

Google

No standout differentiators in the data we have for this pair.

Qwen3-Next-80B-A3B-Thinking

View details

Alibaba Cloud / Qwen Team

Larger context window (65,536 tokens)

Higher GPQA score (77.2% vs 19.2%)

Higher IFEval score (88.9% vs 80.2%)

Higher MMLU-Pro score (82.7% vs 14.7%)

Detailed Comparison

AI Model Comparison Table
Feature	Gemma 3 1B	Qwen3-Next-80B-A3B-Thinking

FAQ

Common questions about Gemma 3 1B vs Qwen3-Next-80B-A3B-Thinking.

Which is better, Gemma 3 1B or Qwen3-Next-80B-A3B-Thinking?

Qwen3-Next-80B-A3B-Thinking significantly outperforms across most benchmarks. Gemma 3 1B is made by Google and Qwen3-Next-80B-A3B-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 Gemma 3 1B compare to Qwen3-Next-80B-A3B-Thinking in benchmarks?

Gemma 3 1B scores IFEval: 80.2%, GSM8k: 62.8%, Natural2Code: 56.0%, MATH: 48.0%, HumanEval: 41.5%. Qwen3-Next-80B-A3B-Thinking scores MMLU-Redux: 92.5%, IFEval: 88.9%, AIME 2025: 87.8%, WritingBench: 84.6%, MMLU-Pro: 82.7%.

What are the context window sizes for Gemma 3 1B and Qwen3-Next-80B-A3B-Thinking?

Gemma 3 1B supports an unknown number of tokens and Qwen3-Next-80B-A3B-Thinking supports 66K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemma 3 1B and Qwen3-Next-80B-A3B-Thinking?

Key differences include licensing (Gemma vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3 1B and Qwen3-Next-80B-A3B-Thinking?

Gemma 3 1B is developed by Google and Qwen3-Next-80B-A3B-Thinking is developed by Alibaba Cloud / Qwen Team.