Model Comparison

Gemma 3 4B vs Qwen3-235B-A22B-Instruct-2507

Qwen3-235B-A22B-Instruct-2507 shows notably better performance in the majority of benchmarks. Gemma 3 4B is 12.5x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Gemma 3 4B outperforms in 1 benchmarks (IFEval), while Qwen3-235B-A22B-Instruct-2507 is better at 3 benchmarks (GPQA, MMLU-Pro, SimpleQA).

Qwen3-235B-A22B-Instruct-2507 shows notably better performance in the majority of benchmarks.

Tue Apr 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemma 3 4B costs less

For input processing, Gemma 3 4B ($0.02/1M tokens) is 7.5x cheaper than Qwen3-235B-A22B-Instruct-2507 ($0.15/1M tokens).

For output processing, Gemma 3 4B ($0.04/1M tokens) is 20.0x cheaper than Qwen3-235B-A22B-Instruct-2507 ($0.80/1M tokens).

In conclusion, Qwen3-235B-A22B-Instruct-2507 is more expensive than Gemma 3 4B.*

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

Lowest available price from all providers
Tue Apr 14 2026 • llm-stats.com
Google
Gemma 3 4B
Input tokens$0.02
Output tokens$0.04
Best providerDeepinfra
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
Input tokens$0.15
Output tokens$0.80
Best providerFireworks
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

231.0B diff

Qwen3-235B-A22B-Instruct-2507 has 231.0B more parameters than Gemma 3 4B, making it 5775.0% larger.

Google
Gemma 3 4B
4.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
235.0Bparameters
4.0B
Gemma 3 4B
235.0B
Qwen3-235B-A22B-Instruct-2507

Context Window

Maximum input and output token capacity

Qwen3-235B-A22B-Instruct-2507 accepts 262,144 input tokens compared to Gemma 3 4B's 131,072 tokens. Both models can generate responses up to 131,072 tokens.

Google
Gemma 3 4B
Input131,072 tokens
Output131,072 tokens
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
Input262,144 tokens
Output131,072 tokens
Tue Apr 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3 4B supports multimodal inputs, whereas Qwen3-235B-A22B-Instruct-2507 does not.

Gemma 3 4B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 3 4B

Text
Images
Audio
Video

Qwen3-235B-A22B-Instruct-2507

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3 4B is licensed under Gemma, while Qwen3-235B-A22B-Instruct-2507 uses Apache 2.0.

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

Gemma 3 4B

Gemma

Open weights

Qwen3-235B-A22B-Instruct-2507

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 3 4B was released on 2025-03-12, while Qwen3-235B-A22B-Instruct-2507 was released on 2025-07-22.

Qwen3-235B-A22B-Instruct-2507 is 4 months newer than Gemma 3 4B.

Gemma 3 4B

Mar 12, 2025

1.1 years ago

Qwen3-235B-A22B-Instruct-2507

Jul 22, 2025

8 months ago

4mo newer

Knowledge Cutoff

When training data ends

Gemma 3 4B has a documented knowledge cutoff of 2024-08-01, while Qwen3-235B-A22B-Instruct-2507's cutoff date is not specified.

We can confirm Gemma 3 4B's training data extends to 2024-08-01, but cannot make a direct comparison without Qwen3-235B-A22B-Instruct-2507's cutoff date.

Gemma 3 4B

Aug 2024

Qwen3-235B-A22B-Instruct-2507

—

Provider Availability

Gemma 3 4B is available from DeepInfra. Qwen3-235B-A22B-Instruct-2507 is available from Fireworks, Novita.

Gemma 3 4B

deepinfra logo
Deepinfra
Input Price:Input: $0.02/1MOutput Price:Output: $0.04/1M

Qwen3-235B-A22B-Instruct-2507

fireworks logo
Fireworks
Input Price:Input: $0.15/1MOutput Price:Output: $0.80/1M
novita logo
Novita
Input Price:Input: $0.15/1MOutput Price:Output: $0.80/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Google
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Higher IFEval score (90.2% vs 88.7%)
Alibaba Cloud / Qwen Team
Larger context window (262,144 tokens)
Higher GPQA score (77.5% vs 30.8%)
Higher MMLU-Pro score (83.0% vs 43.6%)
Higher SimpleQA score (54.3% vs 4.0%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3 4B
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507

FAQ

Common questions about Gemma 3 4B vs Qwen3-235B-A22B-Instruct-2507

Qwen3-235B-A22B-Instruct-2507 shows notably better performance in the majority of benchmarks. Gemma 3 4B is made by Google and Qwen3-235B-A22B-Instruct-2507 is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemma 3 4B scores IFEval: 90.2%, GSM8k: 89.2%, DocVQA: 75.8%, MATH: 75.6%, AI2D: 74.8%. Qwen3-235B-A22B-Instruct-2507 scores ZebraLogic: 95.0%, MMLU-Redux: 93.1%, IFEval: 88.7%, MultiPL-E: 87.9%, Creative Writing v3: 87.5%.
Gemma 3 4B is 7.5x cheaper for input tokens. Gemma 3 4B costs $0.02/M input and $0.04/M output via deepinfra. Qwen3-235B-A22B-Instruct-2507 costs $0.15/M input and $0.80/M output via fireworks.
Gemma 3 4B supports 131K tokens and Qwen3-235B-A22B-Instruct-2507 supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (131K vs 262K), input pricing ($0.02 vs $0.15/M), multimodal support (yes vs no), licensing (Gemma vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Gemma 3 4B is developed by Google and Qwen3-235B-A22B-Instruct-2507 is developed by Alibaba Cloud / Qwen Team.