Qwen3-Coder-480B vs GPT-5 Nano: Detailed Comparison
Choosing between Qwen3-Coder-480B (Alibaba) and
GPT-5 Nano (OpenAI) comes down to three things:
per-token pricing, context window, and which capability matters most for your workload.
Qwen3-Coder-480B costs $2.00/M input vs
$0.05/M for GPT-5 Nano;
context windows are 1.0M vs
400K tokens. Detailed breakdown below.
Side-by-side specs
| Spec | Qwen3-Coder-480B | GPT-5 Nano |
|---|
| Provider | Alibaba | OpenAI |
|---|
| Released | 2025-07-22 | 2025-08-07 |
|---|
| Input price |
$2.00/M |
$0.05/M |
| Output price |
$6.00/M |
$0.40/M |
| Cached input |
— |
$0.0050/M |
| Context window |
1.0M |
400K |
| Max output |
66K |
64K |
| Modalities |
text |
text |
| Tokenizer |
qwen |
o200k_base |
Capability matrix
| Capability | Qwen3-Coder-480B | GPT-5 Nano |
|---|
| function calling |
Yes |
Yes |
| json mode |
Yes |
Yes |
| streaming |
Yes |
Yes |
| code |
Yes |
No |
| tool use |
Yes |
No |
Benchmark comparison
Higher is better for all benchmarks shown.
Per-call cost on typical workloads
| Workload (in/out tokens) | Qwen3-Coder-480B | GPT-5 Nano | Cheaper by |
|---|
| Standard chat (1K / 500) |
$0.005000 |
$0.000250 |
GPT-5 Nano by $0.004750 |
| RAG (4K / 500) |
$0.011000 |
$0.000400 |
GPT-5 Nano by $0.010600 |
| Long doc (20K / 1K) |
$0.046000 |
$0.001400 |
GPT-5 Nano by $0.044600 |
| Very long context (100K / 2K) |
$0.209000 |
$0.005600 |
GPT-5 Nano by $0.203400 |
When to choose Qwen3-Coder-480B over GPT-5 Nano
- Larger context window (1.0M vs 400K) — relevant when whole documents or long histories must fit in a single call.
- Supports code — GPT-5 Nano does not.
- Supports tool use — GPT-5 Nano does not.
When to choose GPT-5 Nano over Qwen3-Coder-480B
- Per-token input cost is 98% lower than Qwen3-Coder-480B.
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