GPT-6 Luna vs Qwen3.7 Flash: Pricing & Benchmarks

At a glance

Quick verdict

How the two models stack up on the things people ask about most.

Lower price

Qwen3.7 Flash

3.6x cheaper for a typical chat

Higher intelligence score

Tie

Not enough benchmark data

Larger context window

GPT-6 Luna

1.05M vs 1M tokens

Newer release

GPT-6 Luna

Released September 22, 2026

Benchmarks

Benchmark scores

Independent scores from Artificial Analysis. Higher is better.

Intelligence index

GPT-6 Luna38.1

Qwen3.7 FlashNot available

Coding index

GPT-6 LunaNot available

Qwen3.7 FlashNot available

Agentic index

GPT-6 LunaNot available

Qwen3.7 FlashNot available

Pricing

GPT-6 Luna vs Qwen3.7 Flash API pricing

Per-token API rates. Cheaper option highlighted.

Metric	GPT-6 Luna	Qwen3.7 Flash
Input tokensPer 1M tokens	$0.10	$0.03
Output tokensPer 1M tokens	$0.50	$0.13
Cached input (read)Per 1M tokens	$0.01	$0.01
Cache writePer 1M tokens	$0.13	$0.04
Long-context pricingPer 1M tokens, for very long prompts	$0.20 in / $0.75 out above 272K	$0.10 in / $0.40 out above 32K
Web searchPer request	$0.01	Not available

What it costs in practice

Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.

Chat message

2K in, 500 out

GPT-6 Luna$0.45

Qwen3.7 Flash$0.13

Coding task

30K in, 4K out

GPT-6 Luna$5$2.30 cached

Qwen3.7 Flash$1.42$0.70 cached

Long document summary

150K in, 2K out

GPT-6 Luna$16$2.50 cached

Qwen3.7 Flash$4.76$1.16 cached

Specs

Context window and capabilities

How much each model can read, how much it can write, and what it accepts as input.

Metric	GPT-6 Luna	Qwen3.7 Flash
Context window	1.05M tokens	1M tokens
Max output	128K tokens	66K tokens
Input types	File, Image, Text	Image, Text, Video
Output types	Text	Text
Reasoning effort levels	Max, Extra high, High, Medium, Low, None	Not available
Default reasoning effort	Medium	Not available
Release date	September 22, 2026	July 27, 2026

Features

Supported features

API features available for each model.

Metric	GPT-6 Luna	Qwen3.7 Flash
Tool calling	Supported	Supported
Structured outputs	Supported	Not supported
JSON mode	Supported	Supported
Reasoning	Supported	Supported
Temperature	Not supported	Supported
Stop sequences	Not supported	Not supported
Deterministic seed	Supported	Supported
Verbosity control	Supported	Not supported

Keep exploring

More on these models

Other head-to-heads, the full model page, and the alternatives list for each model.

GPT-6 LunaView full model details

All alternativesBest GPT-6 Luna alternatives

Qwen3.7 FlashView full model details

All alternativesBest Qwen3.7 Flash alternatives

Our take

Qwen3.7 Flash is 3.6x cheaper for a typical chat. GPT-6 Luna has the larger context window (1.05M vs 1M tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.

FAQ

Frequently asked questions

Is GPT-6 Luna or Qwen3.7 Flash cheaper?

Qwen3.7 Flash is cheaper for a typical chat (2K input tokens and 500 output tokens). Qwen3.7 Flash costs $0.03 per 1M input tokens and $0.13 per 1M output tokens, while GPT-6 Luna costs $0.10 per 1M input tokens and $0.50 per 1M output tokens.

Which has a bigger context window, GPT-6 Luna or Qwen3.7 Flash?

GPT-6 Luna supports up to 1.05M tokens of context, compared with 1M for Qwen3.7 Flash.

Can I use GPT-6 Luna and Qwen3.7 Flash at the same time?

Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see GPT-6 Luna and Qwen3.7 Flash answer side by side and keep the better response.

Why choose? Ask both.

Send one prompt to GPT-6 Luna and Qwen3.7 Flash at the same time. Compare the answers side by side and keep the best one.

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