Last verified 2026-03-06 (left) · 2026-03-12 (right)

GPT-5 nano vs Qwen Plus — Pricing & Capability Comparison

GPT-5 nano charges $0.05 per million input tokens and $0.40 per million output tokens. Qwen Plus comes in at $0.40 / $4.00. Context windows span 200K vs 256K tokens respectively.

TL;DR — Quick Comparison

✓GPT-5 nano is cheaper overall: $0.45 per 1M tokens (in+out) vs $4.40 for Qwen Plus — saves $3.95 per 1M tokens
✓Input pricing: GPT-5 nano $0.05/1M vs Qwen Plus $0.40/1M
✓Output pricing: GPT-5 nano $0.40/1M vs Qwen Plus $4.00/1M
✓Context window: Qwen Plus offers more (256K vs 200K)
✓Use our calculator below to estimate costs for your specific usage pattern

Input price (per 1M)

GPT-5 nano

$0.05

Qwen Plus

$0.40

GPT-5 nano leads here

Output price (per 1M)

GPT-5 nano

$0.40

Qwen Plus

$4.00

GPT-5 nano leads here

Context window

GPT-5 nano

200,000 tokens

Qwen Plus

256,000 tokens

Qwen Plus leads here

Cached input

GPT-5 nano

$0.005

Qwen Plus

Not published

GPT-5 nano leads here

Which one should you choose?

Skip the spreadsheet if you just need the practical takeaway. Use these rules when deciding between GPT-5 nano and Qwen Plus.

Choose GPT-5 nano if input tokens dominate your bill

GPT-5 nano has the lower input rate, which usually matters most for chat, RAG, classification, and long-prompt workflows where prompt volume stays much larger than generated output.

Choose GPT-5 nano if you generate long answers

GPT-5 nano is cheaper on output tokens, so it tends to win for report generation, coding assistance, reasoning traces, and any workflow where completions are long.

Choose Qwen Plus if context size is the blocker

Qwen Plus offers the larger published context window, which is more important than small pricing differences when you need to fit large files, long chats, or multi-document prompts into one request.

Cost comparison for 10K-token workloads

Side-by-side pricing for identical workloads (10,000 total tokens per request) across different distributions.

Scenario	GPT-5 nano	Qwen Plus	GPT-5 nano cached
Balanced conversation 50% input · 50% output	$0.0023	$0.0220	$0.0020
Input-heavy workflow 80% input · 20% output	$0.0012	$0.0112	$0.0008
Generation heavy 30% input · 70% output	$0.0030	$0.0292	$0.0028
Cached system prompt 90% cached input · 10% fresh output	$0.0009	$0.0076	$0.0004

Frequently asked questions

Which is cheaper: GPT-5 nano or Qwen Plus?

GPT-5 nano is cheaper for input tokens at $0.05 per 1M tokens compared to $0.40. For output, GPT-5 nano costs $0.40 per 1M tokens versus $4.00 for Qwen Plus.

What is the cost per 1M tokens for GPT-5 nano?

GPT-5 nano pricing: $0.05 per 1M input tokens and $0.40 per 1M output tokens. Context window: 200,000 tokens.

What is the cost per 1M tokens for Qwen Plus?

Qwen Plus pricing: $0.40 per 1M input tokens and $4.00 per 1M output tokens. Context window: 256,000 tokens.

How much does it cost per 1K tokens?

Per 1K tokens: GPT-5 nano costs $0.0001 input / $0.0004 output. Qwen Plus costs $0.0004 input / $0.0040 output. This is useful for calculating small-scale usage costs.

Which model supports a larger context window?

Qwen Plus offers 256,000 tokens (256K) versus 200K for GPT-5 nano.

What is the estimated monthly cost for typical usage?

For a typical workload of 10M input + 2M output tokens per month: GPT-5 nano would cost approximately $1.30, while Qwen Plus would cost $12.00. GPT-5 nano is more economical for this usage pattern.

Do these models support prompt caching?

GPT-5 nano supports prompt caching at $0.005 per 1M cached tokens, reducing costs for repeated context by up to 90%. Qwen Plus does not publish cached pricing.

Which model is best for my use case?

Choose GPT-5 nano for cost-sensitive applications with high input volume. Choose Qwen Plus if you need 256K context for long documents or conversations. Consider prompt caching if you have repeated context. Use our token calculator to model your specific usage pattern.