Llama 3.3 70B vs Qwen3-Coder-480B: Detailed Comparison
Choosing between Llama 3.3 70B (Meta) and
Qwen3-Coder-480B (Alibaba) comes down to three things:
per-token pricing, context window, and which capability matters most for your workload.
Llama 3.3 70B costs $0.59/M input vs
$2.00/M for Qwen3-Coder-480B;
context windows are 128K vs
1.0M tokens. Detailed breakdown below.
Side-by-side specs
| Spec | Llama 3.3 70B | Qwen3-Coder-480B |
|---|
| Provider | Meta | Alibaba |
|---|
| Released | 2024-12-06 | 2025-07-22 |
|---|
| Input price |
$0.59/M |
$2.00/M |
| Output price |
$0.79/M |
$6.00/M |
| Cached input |
— |
— |
| Context window |
128K |
1.0M |
| Max output |
8K |
66K |
| Modalities |
text |
text |
| Tokenizer |
llama-3 |
qwen |
Capability matrix
| Capability | Llama 3.3 70B | Qwen3-Coder-480B |
|---|
| function calling |
Yes |
Yes |
| json mode |
Yes |
Yes |
| streaming |
Yes |
Yes |
| tool use |
Yes |
Yes |
| code |
No |
Yes |
Benchmark comparison
Higher is better for all benchmarks shown.
Per-call cost on typical workloads
| Workload (in/out tokens) | Llama 3.3 70B | Qwen3-Coder-480B | Cheaper by |
|---|
| Standard chat (1K / 500) |
$0.000985 |
$0.005000 |
Llama 3.3 70B by $0.004015 |
| RAG (4K / 500) |
$0.002755 |
$0.011000 |
Llama 3.3 70B by $0.008245 |
| Long doc (20K / 1K) |
$0.012590 |
$0.046000 |
Llama 3.3 70B by $0.033410 |
| Very long context (100K / 2K) |
$0.060185 |
$0.209000 |
Llama 3.3 70B by $0.148815 |
When to choose Llama 3.3 70B over Qwen3-Coder-480B
- Per-token input cost is 71% lower — meaningful for high-volume workloads.
When to choose Qwen3-Coder-480B over Llama 3.3 70B
- Larger context window (1.0M vs 128K).
- Supports code — Llama 3.3 70B does not.
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