Llama 3.3 70B vs Qwen 3 32B
A side-by-side comparison of Llama 3.3 70B (Meta) and Qwen 3 32B (Alibaba) on pricing, context, and capabilities. Both are available on one Kyma API key — switch between them with a one-line model change.
| Spec |  Llama 3.3 70B |  Qwen 3 32B |
|---|---|---|
| Creator | Meta | Alibaba |
| Input / 1M | $1.188 | $0.392 |
| Output / 1M | $1.188 | $0.81 |
| Cached input | $0.1188 (10%) | $0.0392 (10%) |
| Context window | 128K | 33K |
| Tool calling | Yes | Yes |
| Vision input | No | No |
| Reasoning | Yes | Yes |
| Speed | medium | fast |
Which should you pick?
Qwen 3 32B is the cheaper option on input tokens; Llama 3.3 70B has the larger context window at 128K. Both run on the same Kyma key, so you can A/B them by changing one string.
Switch with one line
# Same key, same endpoint — just change the model string client = OpenAI(base_url="https://kymaapi.com/v1", api_key="YOUR_API_KEY") client.chat.completions.create(model="llama-3.3-70b", messages=[...]) client.chat.completions.create(model="qwen-3-32b", messages=[...])
FAQ
Is Llama 3.3 70B or Qwen 3 32B cheaper?
On input tokens, Llama 3.3 70B is $1.188 in / $1.188 out per 1M and Qwen 3 32B is $0.392 in / $0.81 out per 1M. Both bill per token with cached input at 10% where supported, and both are on the same Kyma balance.
Can I switch between Llama 3.3 70B and Qwen 3 32B without changing my code?
Yes. Both are served through the same OpenAI-compatible Kyma endpoint (https://kymaapi.com/v1). Switching is a one-line change to the model field — `llama-3.3-70b` or `qwen-3-32b` — with the same API key.
Which has the larger context window?
Llama 3.3 70B has a 128K context window and Qwen 3 32B has 33K. Pick the larger one for long documents or repo-level context.