Llama 3.1 Euryale 70B v2.2 vs Qwen3 Coder 480B A35B
Llama 3.1 Euryale 70B v2.2
Qwen3 Coder 480B A35B
| Llama 3.1 Euryale 70B v2.2 | Qwen3 Coder 480B A35B | |
|---|---|---|
| Provider | Sao10K | Qwen |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary β | 131,072 | 262,144 |
| Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). | tools, json_mode | tools, json_mode |
| Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary β | 0.8500 | 0.2200 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3β5Γ pricier than input. Glossary β | 0.8500 | 1.8000 |
Frequently asked questions
Which is cheaper, Llama 3.1 Euryale 70B v2.2 or Qwen3 Coder 480B A35B?
Llama 3.1 Euryale 70B v2.2 is cheaper than Qwen3 Coder 480B A35B on a 50/50 input/output blend by about $0.16 per 1M tokens. Exact savings depend on your input-vs-output ratio β use the cost calculator on this page for a workload-specific estimate.
Which has a larger context window, Llama 3.1 Euryale 70B v2.2 or Qwen3 Coder 480B A35B?
Qwen3 Coder 480B A35B has the larger context window at 262k tokens versus 131k tokens for Llama 3.1 Euryale 70B v2.2. That means Qwen3 Coder 480B A35B can ingest about 2.0x as much text per request.
What is the difference between Llama 3.1 Euryale 70B v2.2 and Qwen3 Coder 480B A35B?
Llama 3.1 Euryale 70B v2.2 comes from Sao10K; Qwen3 Coder 480B A35B comes from Qwen. They differ in pricing, context window, and supported capabilities β see the side-by-side table on this page for the exact figures, refreshed nightly.