Gemma 3 vs Qwen 3
Pricing, benchmarks, and use case comparison
Quick take
- •Gemma 3 is meaningfully stronger at multimodal (70 vs 30 on our capability index).
- •Qwen 3 is meaningfully stronger at math (80 vs 62).
Specs comparison
| Gemma 3 | Qwen 3 | |
|---|---|---|
| Provider | Google DeepMind | Alibaba (Qwen Team) |
| Type | Open source | Open source |
| Context window | 128K tokens (32K for the 1B variant) | 128K tokens (32K for 0.6B/1.7B/4B dense variants) |
| Input / 1M tokens | Free (self-host) | Free (self-host) |
| Output / 1M tokens | Free (self-host) | Free (self-host) |
| Release date | 2025-03 | 2025-04 |
Benchmarks
| Benchmark | Gemma 3 | Qwen 3 |
|---|---|---|
| MATH (27B) | 89% | - |
| MMMU (27B, multimodal) | 64.9% | - |
| Qwen3-235B-A22B | - | 235B total / 22B active |
| Qwen3-30B-A3B | - | 30B total / 3B active |
Scores sourced from official provider release posts and independent benchmark aggregators.
Which should you choose?
Choose Gemma 3 if...
- →You need an open, self-hostable model with a size to match your hardware
- →Multilingual or multimodal tasks on-prem
- →Privacy-sensitive or offline deployments
- →Fine-tuning on your own data
Choose Qwen 3 if...
- →You need an open, self-hostable model with a permissive license
- →You want to toggle deep reasoning on or off per request
- →Multilingual applications
- →Efficient inference via MoE with few active parameters