Model Comparison

Gemma 3 12B vs Qwen3-Next-80B-A3B-Thinking

Qwen3-Next-80B-A3B-Thinking shows notably better performance in the majority of benchmarks. Gemma 3 12B is 7.8x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemma 3 12B outperforms in 0 benchmarks, while Qwen3-Next-80B-A3B-Thinking is better at 2 benchmarks (GPQA, MMLU-Pro).

Qwen3-Next-80B-A3B-Thinking shows notably better performance in the majority of benchmarks.

Fri May 01 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 3.0x cheaper than Qwen3-Next-80B-A3B-Thinking ($0.15/1M tokens).

For output processing, Gemma 3 12B ($0.10/1M tokens) is 15.0x cheaper than Qwen3-Next-80B-A3B-Thinking ($1.50/1M tokens).

In conclusion, Qwen3-Next-80B-A3B-Thinking is more expensive than Gemma 3 12B.*

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

Lowest available price from all providers
Fri May 01 2026 • llm-stats.com
Google
Gemma 3 12B
Input tokens$0.05
Output tokens$0.10
Best providerDeepinfra
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Thinking
Input tokens$0.15
Output tokens$1.50
Best providerNovita
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Model Size

Parameter count comparison

68.0B diff

Qwen3-Next-80B-A3B-Thinking has 68.0B more parameters than Gemma 3 12B, making it 566.7% larger.

Google
Gemma 3 12B
12.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Thinking
80.0Bparameters
12.0B
Gemma 3 12B
80.0B
Qwen3-Next-80B-A3B-Thinking

Context Window

Maximum input and output token capacity

Gemma 3 12B accepts 131,072 input tokens compared to Qwen3-Next-80B-A3B-Thinking's 65,536 tokens. Gemma 3 12B can generate longer responses up to 131,072 tokens, while Qwen3-Next-80B-A3B-Thinking is limited to 65,536 tokens.

Google
Gemma 3 12B
Input131,072 tokens
Output131,072 tokens
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Thinking
Input65,536 tokens
Output65,536 tokens
Fri May 01 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3 12B supports multimodal inputs, whereas Qwen3-Next-80B-A3B-Thinking 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

Qwen3-Next-80B-A3B-Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3 12B 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 12B

Gemma

Open weights

Qwen3-Next-80B-A3B-Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 3 12B 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 12B.

Gemma 3 12B

Mar 12, 2025

1.1 years ago

Qwen3-Next-80B-A3B-Thinking

Sep 10, 2025

7 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

Provider Availability

Gemma 3 12B is available from DeepInfra. Qwen3-Next-80B-A3B-Thinking is available from Novita.

Gemma 3 12B

deepinfra logo
Deepinfra
Input Price:Input: $0.05/1MOutput Price:Output: $0.10/1M

Qwen3-Next-80B-A3B-Thinking

novita logo
Novita
Input Price:Input: $0.15/1MOutput Price:Output: $1.50/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Google
Larger context window (131,072 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Alibaba Cloud / Qwen Team
Higher GPQA score (77.2% vs 40.9%)
Higher MMLU-Pro score (82.7% vs 60.6%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3 12B
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Thinking

FAQ

Common questions about Gemma 3 12B vs Qwen3-Next-80B-A3B-Thinking

Qwen3-Next-80B-A3B-Thinking shows notably better performance in the majority of benchmarks. Gemma 3 12B 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.
Gemma 3 12B scores GSM8k: 94.4%, IFEval: 88.9%, DocVQA: 87.1%, BIG-Bench Hard: 85.7%, HumanEval: 85.4%. Qwen3-Next-80B-A3B-Thinking scores MMLU-Redux: 92.5%, IFEval: 88.9%, AIME 2025: 87.8%, WritingBench: 84.6%, MMLU-Pro: 82.7%.
Gemma 3 12B is 3.0x cheaper for input tokens. Gemma 3 12B costs $0.05/M input and $0.10/M output via deepinfra. Qwen3-Next-80B-A3B-Thinking costs $0.15/M input and $1.50/M output via novita.
Gemma 3 12B supports 131K 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.
Key differences include context window (131K vs 66K), input pricing ($0.05 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 12B is developed by Google and Qwen3-Next-80B-A3B-Thinking is developed by Alibaba Cloud / Qwen Team.