Qwen vs Llama — open models compared
Qwen vs Llama is the open-weight comparison that replaced “Llama vs everyone” for a lot of practitioners. Qwen models have been strong on multilingual tasks, long context, and aggressive hosted pricing. Llama remains the default ecosystem bet in the US.
Filter to open weights, then compare a current Qwen instruct row to a current Llama instruct row. Look at quality index, blended cost, and context together — Qwen often wins at least one of those three on a given week.
Open-weight models by price
Live OpenRouter pricing and Arena quality, cached about an hour. Not a static blog table.
| Model | Provider | Blend $ / 1M | Quality | Context |
|---|---|---|---|---|
| LFM2.5-2.6B | Liquid | 0.00 | — | 65,536 |
| North Mini Code | Cohere | 0.00 | — | 256,000 |
| Nemotron 3 Nano Omni | NVIDIA | 0.00 | — | 256,000 |
| Mistral Nemo | Mistral | 0.02 | — | 131,072 |
| Ling 3.0 Flash | inclusionAI | 0.04 | — | 262,144 |
Multilingual and Chinese-language work
If a large share of tokens is Chinese or mixed-script, Qwen is usually on the shortlist before Llama. Arena Elo is still mostly English-chat votes, so it understates that gap. Run your real language mix in the arena; do not trust an English quality index alone.
Hosted vs self-hosted
Both families have dense and MoE variants that change VRAM math. On this site you see hosted API prices. A Qwen row that is cheap on OpenRouter might still be huge to self-host. Decide the deployment mode first, then compare.
Fine-tunes and tooling
Llama still has more English-language fine-tunes and tutorials. Qwen’s tooling has caught up fast, especially around long context. If your team already has Llama serving, switching labs is an ops cost — demand a clear price or quality win.
Closed-lab escape hatch
After you pick Qwen or Llama, compare the winner to a cheap closed model (GPT mini, Gemini flash, DeepSeek). Sometimes the “open” requirement was a preference, not a constraint. If it is a constraint, skip this step.
How to use the tables
The live table on this page shows current open-weight rows by price. Click through to model pages for monthly cost and related models (same provider, closest price, closest quality) so you are not stuck in a two-name tunnel.
FAQ
Is Qwen better than Llama?
- On many multilingual and long-context workloads Qwen is competitive or ahead. Compare current rows; names are not versions.
Which is cheaper?
- Hosted prices change. Sort open-weight models by blended cost on the leaderboard.
Can I use Qwen commercially?
- Read the Qwen license for the specific weight you download. Catalog flags are not legal advice.
How do I compare Qwen and Llama here?
- Search both names, add them with + Compare, or open any two model pages and use the vs CTAs.
Related guides
Also try: LLM leaderboard, compare tool, live arena.