GPT-5 Nano vs Qwen3 Coder 30B A3B Instruct

GPT-5 Nano at $0.058 in and $0.460 out and Qwen3 Coder 30B A3B Instruct at $0.081 in and $0.310 out — per million tokens, from the same wallet.

GPT-5 Nano

OpenAI

0.07¢

for a client proposal

$0.058 in · $0.460 out / 1M

400K context · released August 2025

Full page →

Qwen3 Coder 30B A3B Instruct

Qwen

0.07¢

for a client proposal

$0.081 in · $0.310 out / 1M

160K context · released July 2025

Full page →

Asking all both at once — identical prompt, identical context — costs about 0.13¢ for a typical client proposal.

At a glance

Cheapest input: GPT-5 Nano at $0.058 per million tokens.
Cheapest output: Qwen3 Coder 30B A3B Instruct at $0.310 per million tokens.
Largest context: GPT-5 Nano at 400K tokens — about 570 pages.

Cost per task

Estimated totals at the rates above. Solid bar is input, lighter bar is output.

Quick code fix

2K in · 500 out

GPT-5 Nano

0.03¢

Qwen3 Coder 30B A3B Instruct

0.03¢

Draft a client proposal from notes

5K in · 800 out

GPT-5 Nano

0.07¢

Qwen3 Coder 30B A3B Instruct

0.07¢

Context-heavy session (Alyph workspace)

155K in · 4K out

GPT-5 Nano

1.1¢

Qwen3 Coder 30B A3B Instruct

1.4¢

Analyze a 50-page legal contract

35K in · 1K out

GPT-5 Nano

0.25¢

Qwen3 Coder 30B A3B Instruct

0.31¢

Large architecture refactor

250K in · 3K out

GPT-5 Nano

1.6¢

Qwen3 Coder 30B A3B Instruct

needs 250K ctx

Solid part of each bar is input tokens, the lighter part is output. Models that don’t fit a task are marked instead of priced.

Cost vs Token Amount

Drag the slider to adjust the split between input and output workload.

80% Input20% Output

GPT-5 Nano

Qwen3 Coder 30B A3B Instruct

Adjust the ratio slider to change how output tokens influence the final price for equivalent workloads.

Pricing

GPT-5 Nano

Qwen3 Coder 30B A3B Instruct

Input / 1M tokens

$0.058

$0.081

Output / 1M tokens

$0.460

$0.310

Cached input / 1M

$0.0057

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Web search

1.1¢ / search

—

Specs

GPT-5 Nano

Qwen3 Coder 30B A3B Instruct

Provider

OpenAI

Qwen

Released

August 2025

July 2025

Context window

400K

160K

Max output

128K

33K

Input

Text, Images, and Files

Text

Output

Text

Reasoning

Shows its thinking

Answers directly

Knowledge cutoff

2024-05-31

2025-06-30

Try it with real numbers

2K tokens in · 500 tokens out.

GPT-5 Nano

OpenAI

0.03¢

for this task

33% input · 67% output

Full pricing →

Qwen3 Coder 30B A3B Instruct

Qwen

0.03¢

for this task

51% input · 49% output

Full pricing →

All 2, same prompt and context: 0.07¢. That is the entire cost of the comparison.

Your $5 welcome credit covers about 7,561 of these.

Which should you pick?

For long documents, GPT-5 Nano has the largest context window here — 400K tokens.

On price, Qwen3 Coder 30B A3B Instruct is the cheapest of the two on a typical task, at about 0.07¢.

For images or files, GPT-5 Nano can read them directly; Qwen3 Coder 30B A3B Instruct is text-only.

If you want to watch the model think, GPT-5 Nano shows reasoning; the other answers directly.

Or don’t pick. Send the identical prompt to all both, read the answers side by side, and keep the winner. How to run a fair bake-off →

GPT-5 Nano pricing →Qwen3 Coder 30B A3B Instruct pricing →Add Lyria 3 Clip Preview Add Grok 4.20

Questions, answered

Which is cheaper, GPT-5 Nano or Qwen3 Coder 30B A3B Instruct?

On a typical client proposal (5K tokens in, 800 out): Qwen3 Coder 30B A3B Instruct at 0.07¢; GPT-5 Nano at 0.07¢. Long prompts can change the order when long-context rates apply.

Which has the largest context window?

GPT-5 Nano — 400K tokens, about 570 pages.

Can I run GPT-5 Nano and Qwen3 Coder 30B A3B Instruct side by side on Alyph?

Yes — that is what Alyph is built for: the identical prompt with identical context to all 2, answers rendered side by side, billed from one wallet. This exact combination costs about 0.13¢ for a typical task.

Ask both at once

Identical prompt, identical context, answers side by side — about 0.13¢ for a typical client proposal. Free to start, with $5 of credit.