Model Comparison

Gemma 3 12B vs Qwen2.5 72B Instruct

Qwen2.5 72B Instruct shows notably better performance in the majority of benchmarks. Gemma 3 12B is 5.8x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

8 benchmarks

Gemma 3 12B outperforms in 2 benchmarks (IFEval, MATH), while Qwen2.5 72B Instruct is better at 6 benchmarks (GPQA, GSM8k, HumanEval, LiveCodeBench, MBPP, MMLU-Pro).

Qwen2.5 72B Instruct shows notably better performance in the majority of benchmarks.

Sat May 02 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemma 3 12B costs less

For input processing, Gemma 3 12B ($0.05/1M tokens) is 7.0x cheaper than Qwen2.5 72B Instruct ($0.35/1M tokens).

For output processing, Gemma 3 12B ($0.10/1M tokens) is 4.0x cheaper than Qwen2.5 72B Instruct ($0.40/1M tokens).

In conclusion, Qwen2.5 72B Instruct is more expensive than Gemma 3 12B.*

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

Lowest available price from all providers

Sat May 02 2026 • llm-stats.com

Gemma 3 12B

Input tokens$0.05

Output tokens$0.10

Best providerDeepinfra

Qwen2.5 72B Instruct

Input tokens$0.35

Output tokens$0.40

Best providerDeepinfra

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Model Size

Parameter count comparison

60.7B diff

Qwen2.5 72B Instruct has 60.7B more parameters than Gemma 3 12B, making it 505.8% larger.

Gemma 3 12B

12.0Bparameters

Qwen2.5 72B Instruct

72.7Bparameters

12.0B

Gemma 3 12B

72.7B

Qwen2.5 72B Instruct

Context Window

Maximum input and output token capacity

Both models have the same input context window of 131,072 tokens. Gemma 3 12B can generate longer responses up to 131,072 tokens, while Qwen2.5 72B Instruct is limited to 8,192 tokens.

Gemma 3 12B

Input131,072 tokens

Output131,072 tokens

Qwen2.5 72B Instruct

Input131,072 tokens

Output8,192 tokens

Sat May 02 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3 12B supports multimodal inputs, whereas Qwen2.5 72B Instruct does not.

Gemma 3 12B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 3 12B

Text

Images

Audio

Video

Qwen2.5 72B Instruct

Text

Images

Audio

Video

License

Usage and distribution terms

Gemma 3 12B is licensed under Gemma, while Qwen2.5 72B Instruct uses Qwen.

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

Gemma 3 12B

Gemma

Open weights

Qwen2.5 72B Instruct

Qwen

Open weights

Release Timeline

When each model was launched

Gemma 3 12B was released on 2025-03-12, while Qwen2.5 72B Instruct was released on 2024-09-19.

Gemma 3 12B is 6 months newer than Qwen2.5 72B Instruct.

Gemma 3 12B

Mar 12, 2025

1.1 years ago

5mo newer

Qwen2.5 72B Instruct

Sep 19, 2024

1.6 years ago

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

Gemma 3 12B is available from DeepInfra. Qwen2.5 72B Instruct is available from DeepInfra, Hyperbolic, Fireworks, Together.

Gemma 3 12B

Deepinfra

Input Price:Input: $0.05/1MOutput Price:Output: $0.10/1M

Qwen2.5 72B Instruct

Deepinfra

Input Price:Input: $0.35/1MOutput Price:Output: $0.40/1M

Hyperbolic

Input Price:Input: $0.40/1MOutput Price:Output: $0.40/1M

Fireworks

Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M

Together

Input Price:Input: $1.20/1MOutput Price:Output: $1.20/1M

* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Gemma 3 12B

View details

Google

Supports multimodal inputs

Less expensive input tokens

Less expensive output tokens

Higher IFEval score (88.9% vs 84.1%)

Higher MATH score (83.8% vs 83.1%)

Qwen2.5 72B Instruct

View details

Alibaba Cloud / Qwen Team

Higher GPQA score (49.0% vs 40.9%)

Higher GSM8k score (95.8% vs 94.4%)

Higher HumanEval score (86.6% vs 85.4%)

Higher LiveCodeBench score (55.5% vs 24.6%)

Higher MBPP score (88.2% vs 73.0%)

Higher MMLU-Pro score (71.1% vs 60.6%)

Detailed Comparison

AI Model Comparison Table
Feature	Gemma 3 12B	Qwen2.5 72B Instruct

FAQ

Common questions about Gemma 3 12B vs Qwen2.5 72B Instruct.

Which is better, Gemma 3 12B or Qwen2.5 72B Instruct?

Qwen2.5 72B Instruct shows notably better performance in the majority of benchmarks. Gemma 3 12B is made by Google and Qwen2.5 72B Instruct 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 12B compare to Qwen2.5 72B Instruct in benchmarks?

Gemma 3 12B scores GSM8k: 94.4%, IFEval: 88.9%, DocVQA: 87.1%, BIG-Bench Hard: 85.7%, HumanEval: 85.4%. Qwen2.5 72B Instruct scores GSM8k: 95.8%, MT-Bench: 93.5%, MBPP: 88.2%, MMLU-Redux: 86.8%, HumanEval: 86.6%.

Is Gemma 3 12B cheaper than Qwen2.5 72B Instruct?

Gemma 3 12B is 7.0x cheaper for input tokens. Gemma 3 12B costs $0.05/M input and $0.10/M output via deepinfra. Qwen2.5 72B Instruct costs $0.35/M input and $0.40/M output via deepinfra.

What are the context window sizes for Gemma 3 12B and Qwen2.5 72B Instruct?

Gemma 3 12B supports 131K tokens and Qwen2.5 72B Instruct supports 131K 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 12B and Qwen2.5 72B Instruct?

Key differences include input pricing ($0.05 vs $0.35/M), multimodal support (yes vs no), licensing (Gemma vs Qwen). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3 12B and Qwen2.5 72B Instruct?

Gemma 3 12B is developed by Google and Qwen2.5 72B Instruct is developed by Alibaba Cloud / Qwen Team.