All models

GPT-5.6 Luna vs Qwen3 30B A3B

GPT-5.6 Luna at $0.115 in and $0.690 out and Qwen3 30B A3B at $0.138 in and $0.575 out — per million tokens, from the same wallet.

GPT-5.6 Luna

OpenAI

0.11¢

for a client proposal

$0.115 in · $0.690 out / 1M

1.05M context · released 1 month ago

Full page →
Q

Qwen3 30B A3B

Qwen

0.11¢

for a client proposal

$0.138 in · $0.575 out / 1M

41K context · released April 2025

Full page →

Asking all both at once — identical prompt, identical context — costs about 0.23¢ for a typical client proposal.

At a glance

  • Cheapest input: GPT-5.6 Luna at $0.115 per million tokens.
  • Cheapest output: Qwen3 30B A3B at $0.575 per million tokens.
  • Largest context: GPT-5.6 Luna 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-5.6 Luna
0.06¢
Qwen3 30B A3B
0.06¢

Draft a client proposal from notes

5K in · 800 out
GPT-5.6 Luna
0.11¢
Qwen3 30B A3B
0.11¢

Context-heavy session (Alyph workspace)

155K in · 4K out
GPT-5.6 Luna
2.1¢
Qwen3 30B A3B
needs 155K ctx

Analyze a 50-page legal contract

35K in · 1K out
GPT-5.6 Luna
0.47¢
Qwen3 30B A3B
0.54¢

Large architecture refactor

250K in · 3K out
GPT-5.6 Luna
3.1¢
Qwen3 30B A3B
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$0.20$0.390 tokens250k500k750k1000k
GPT-5.6 Luna
Qwen3 30B A3B

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

Pricing

GPT-5.6 Luna
Qwen3 30B A3B
Input / 1M tokens
$0.115
$0.138
Output / 1M tokens
$0.690
$0.575
Cached input / 1M
$0.011
Web search
0.57¢ / search

Specs

GPT-5.6 Luna
Qwen3 30B A3B
Provider
Released
1 month ago
April 2025
Context window
1.05M
41K
Max output
128K
16K
Input
Files, Images, and Text
Text
Output
Text
Text
Reasoning
Shows its thinking
Shows its thinking
Knowledge cutoff
2026-02-16
2025-03-31

Try it with real numbers

2K tokens in · 500 tokens out.

GPT-5.6 Luna

OpenAI

0.06¢

for this task

40% input · 60% output

Full pricing →

Qwen3 30B A3B

Qwen

0.06¢

for this task

49% input · 51% output

Full pricing →

All 2, same prompt and context: 0.11¢. That is the entire cost of the comparison.

Your $5 welcome credit covers about 4,391 of these.

Which should you pick?

For long documents, GPT-5.6 Luna has the largest context window here — 1.05M tokens.

On price, GPT-5.6 Luna is the cheapest of the two on a typical task, at about 0.11¢.

For images or files, GPT-5.6 Luna can read them directly; Qwen3 30B A3B is text-only.

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-5.6 Luna or Qwen3 30B A3B?

On a typical client proposal (5K tokens in, 800 out): GPT-5.6 Luna at 0.11¢; Qwen3 30B A3B at 0.11¢. Long prompts can change the order when long-context rates apply.

Which has the largest context window?

GPT-5.6 Luna — 1.05M tokens, about 1,500 pages.

Can I run GPT-5.6 Luna and Qwen3 30B A3B 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 0.23¢ for a typical task.

Ask both at once

Identical prompt, identical context, answers side by side — about 0.23¢ for a typical client proposal. Free to start, with $5 of credit.