LLM Comparison

GPT-6 Luna vs Phi 4

Side-by-side specs, pricing & capabilities · Updated September 2026

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2/6 models

Same tier:

	GPT-6 Luna	Phi 4
Organization	OpenAI	Microsoft
OpenTools Score		8 82.0
Family	GPT-6	Phi
Status	Current	Current
Release Date	Sep 2026	Jan 2025
Context Window	1.1M tokens	16K tokens
Input Price	$0.10/M tokens	$0.07/M tokens
Output Price	$0.50/M tokens	$0.14/M tokens
Pricing Notes	OpenAI standard API, USD per million tokens for prompts up to 272K input tokens: $0.10 input, $0.01 cached input, $0.125 cache writes, $0.50 output. Above 272K input tokens, the full request costs 2x input/cache and 1.5x output. Batch/Flex cost 50% of Standard; Fast costs 2x; regional processing adds 10% where available. Reasoning output tokens are charged at output rates.	—
Capabilities	textvisionreasoningcodingtool-uselong-contextcontext-caching	textcode
Training Cutoff	2026-05-18	—
Max Output	128K tokens	16K tokens
API Identifier	`gpt-6-luna`	`microsoft/phi-4`
Benchmarks
Artificial Analysis Intelligence Index v4.3.2	37.2559686869738artificial-analysis	—
GPQA Diamond	—	57.4747artificial-analysis
AIME 2025	—	18artificial-analysis
	View GPT-6 Luna	View Phi 4

Cost Calculator

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Input tokens / month

Output tokens / month

Model	Input	Output	Total / mo	vs Best
Phi 4Cheapest	$0.07	$0.07	$0.14	—
GPT-6 Luna	$0.10	$0.25	$0.35	+159%

OpenAI

GPT-6 Luna

GPT-6 Luna is OpenAI's efficient reasoning model for focused, high-volume tasks. It accepts text and images, produces text, supports a 1,050,000-token context window and 128,000 output tokens, and is available through the Responses and Chat Completions APIs under the exact gpt-6-luna identifier.

Microsoft

Phi 4

Phi 4 is a large language model from Microsoft. Supports up to 16,384 token context window. Available from $0.07/M input tokens.