All models

GPT-4.1 Nano vs Qwen3 VL 32B Instruct

GPT-4.1 Nano at $0.115 in and $0.460 out and Qwen3 VL 32B Instruct at $0.120 in and $0.478 out — per million tokens, from the same wallet.

GPT-4.1 Nano

OpenAI

0.09¢

for a client proposal

$0.115 in · $0.460 out / 1M

1.05M context · released April 2025

Full page →
Q

Qwen3 VL 32B Instruct

Qwen

0.1¢

for a client proposal

$0.120 in · $0.478 out / 1M

131K context · released October 2025

Full page →

Asking all both at once — identical prompt, identical context — costs about 0.19¢ for a typical client proposal.

At a glance

  • Cheapest input: GPT-4.1 Nano at $0.115 per million tokens.
  • Cheapest output: GPT-4.1 Nano at $0.460 per million tokens.
  • Largest context: GPT-4.1 Nano at 1.05M tokens — about 1,500 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-4.1 Nano
0.05¢
Qwen3 VL 32B Instruct
0.05¢

Draft a client proposal from notes

5K in · 800 out
GPT-4.1 Nano
0.09¢
Qwen3 VL 32B Instruct
0.1¢

Context-heavy session (Alyph workspace)

155K in · 4K out
GPT-4.1 Nano
Qwen3 VL 32B Instruct
needs 155K ctx

Analyze a 50-page legal contract

35K in · 1K out
GPT-4.1 Nano
0.45¢
Qwen3 VL 32B Instruct
0.47¢

Large architecture refactor

250K in · 3K out
GPT-4.1 Nano
Qwen3 VL 32B 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
free$0.10$0.190 tokens250k500k750k1000k
GPT-4.1 Nano
Qwen3 VL 32B Instruct

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

Pricing

GPT-4.1 Nano
Qwen3 VL 32B Instruct
Input / 1M tokens
$0.115
$0.120
Output / 1M tokens
$0.460
$0.478
Cached input / 1M
$0.029
Web search
1.1¢ / search

Specs

GPT-4.1 Nano
Qwen3 VL 32B Instruct
Provider
Released
April 2025
October 2025
Context window
1.05M
131K
Max output
33K
33K
Input
Images, Text, and Files
Text and Images
Output
Text
Text
Reasoning
Answers directly
Answers directly
Knowledge cutoff
2024-06-30

Try it with real numbers

2K tokens in · 500 tokens out.

GPT-4.1 Nano

OpenAI

0.05¢

for this task

50% input · 50% output

Full pricing →

Qwen3 VL 32B Instruct

Qwen

0.05¢

for this task

50% input · 50% output

Full pricing →

All 2, same prompt and context: 0.09¢. That is the entire cost of the comparison.

Your $5 welcome credit covers about 5,328 of these.

Which should you pick?

For long documents, GPT-4.1 Nano has the largest context window here — 1.05M tokens.

On price, GPT-4.1 Nano is the cheapest of the two on a typical task, at about 0.09¢.

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 →

Questions, answered

Which is cheaper, GPT-4.1 Nano or Qwen3 VL 32B Instruct?

On a typical client proposal (5K tokens in, 800 out): GPT-4.1 Nano at 0.09¢; Qwen3 VL 32B Instruct at 0.1¢. Long prompts can change the order when long-context rates apply.

Which has the largest context window?

GPT-4.1 Nano — 1.05M tokens, about 1,500 pages.

Can I run GPT-4.1 Nano and Qwen3 VL 32B 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 0.19¢ for a typical task.

Ask both at once

Identical prompt, identical context, answers side by side — about 0.19¢ for a typical client proposal. Free to start, with $5 of credit.