Model Comparison

Gemma 3 1B vs Qwen3-235B-A22B-Thinking-2507

Qwen3-235B-A22B-Thinking-2507 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 Qwen3-235B-A22B-Thinking-2507 is better at 3 benchmarks (GPQA, IFEval, MMLU-Pro).

Qwen3-235B-A22B-Thinking-2507 significantly outperforms across most benchmarks.

Fri May 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

234.0B diff

Qwen3-235B-A22B-Thinking-2507 has 234.0B more parameters than Gemma 3 1B, making it 23400.0% larger.

Gemma 3 1B

1.0Bparameters

Qwen3-235B-A22B-Thinking-2507

235.0Bparameters

1.0B

Gemma 3 1B

235.0B

Qwen3-235B-A22B-Thinking-2507

Context Window

Maximum input and output token capacity

Only Qwen3-235B-A22B-Thinking-2507 specifies input context (262,144 tokens). Only Qwen3-235B-A22B-Thinking-2507 specifies output context (131,072 tokens).

Gemma 3 1B

Input- tokens

Output- tokens

Qwen3-235B-A22B-Thinking-2507

Input262,144 tokens

Output131,072 tokens

Fri May 15 2026 • llm-stats.com

License

Usage and distribution terms

Gemma 3 1B is licensed under Gemma, while Qwen3-235B-A22B-Thinking-2507 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

Qwen3-235B-A22B-Thinking-2507

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 3 1B was released on 2025-03-12, while Qwen3-235B-A22B-Thinking-2507 was released on 2025-07-25.

Qwen3-235B-A22B-Thinking-2507 is 5 months newer than Gemma 3 1B.

Gemma 3 1B

Mar 12, 2025

1.2 years ago

Qwen3-235B-A22B-Thinking-2507

Jul 25, 2025

9 months ago

4mo 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

Gemma 3 1B

View details

Google

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

Qwen3-235B-A22B-Thinking-2507

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)

Higher GPQA score (81.1% vs 19.2%)

Higher IFEval score (87.8% vs 80.2%)

Higher MMLU-Pro score (84.4% vs 14.7%)

Detailed Comparison

AI Model Comparison Table
Feature	Gemma 3 1B	Qwen3-235B-A22B-Thinking-2507

FAQ

Common questions about Gemma 3 1B vs Qwen3-235B-A22B-Thinking-2507.

Which is better, Gemma 3 1B or Qwen3-235B-A22B-Thinking-2507?

Qwen3-235B-A22B-Thinking-2507 significantly outperforms across most benchmarks. Gemma 3 1B is made by Google and Qwen3-235B-A22B-Thinking-2507 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 Qwen3-235B-A22B-Thinking-2507 in benchmarks?

Gemma 3 1B scores IFEval: 80.2%, GSM8k: 62.8%, Natural2Code: 56.0%, MATH: 48.0%, HumanEval: 41.5%. Qwen3-235B-A22B-Thinking-2507 scores MMLU-Redux: 93.8%, AIME 2025: 92.3%, WritingBench: 88.3%, IFEval: 87.8%, Creative Writing v3: 86.1%.

What are the context window sizes for Gemma 3 1B and Qwen3-235B-A22B-Thinking-2507?

Gemma 3 1B supports an unknown number of tokens and Qwen3-235B-A22B-Thinking-2507 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 Gemma 3 1B and Qwen3-235B-A22B-Thinking-2507?

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 Qwen3-235B-A22B-Thinking-2507?

Gemma 3 1B is developed by Google and Qwen3-235B-A22B-Thinking-2507 is developed by Alibaba Cloud / Qwen Team.