Llama 4 vs Qwen 3
2026 - Pricing, benchmarks, and use case comparison
Quick take
- •Llama 4 has a 10M context window - 78x larger than Qwen 3's 128K. Better for long documents and large codebases.
Specs comparison
| Llama 4 | Qwen 3 | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen Team) |
| Type | Open source | Open source |
| Context window | ✓10M | 128K |
| Input / 1M tokens | Free (self-host) | Free (self-host) |
| Output / 1M tokens | Free (self-host) | Free (self-host) |
| Release date | 2025-04 | 2025-04 |
Benchmarks
| Benchmark | Llama 4 | Qwen 3 |
|---|---|---|
| MMLU | ~85% | ~87% |
| HumanEval | - | ~89% |
Scores sourced from official provider release posts.
Strengths
Llama 4
- ✓Fully open weights - no usage restrictions
- ✓10M context in Llama 4 Scout variant
- ✓Native multimodal support
- ✓Strong performance relative to size
- ✓Enormous ecosystem of community tools and fine-tunes
Qwen 3
- ✓Exceptional multilingual support (100+ languages)
- ✓Apache 2.0 license - fully open for commercial use
- ✓Multiple size variants from 0.6B to 235B MoE
- ✓Strong math and coding across models
- ✓Leading performance for Chinese language tasks
Which should you choose?
Choose Llama 4 if you need...
- →Self-hosted and on-premise deployments
- →Privacy-sensitive workloads
- →Custom fine-tuning
- →Researchers and open-source builders
Choose Qwen 3 if you need...
- →Multilingual applications
- →Self-hosted cost-sensitive deployments
- →Custom fine-tuning on domain-specific data
- →Asian market applications