Verified October 2026

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GPT-6 Luna vs Gemini 3.5 Flash-Lite

A straight cost comparison of GPT-6 Luna (OpenAI) and Gemini 3.5 Flash-Lite (Google Gemini), per 1,000,000 tokens, verified October 2026.

$0.10GPT-6 Luna input / 1M
$0.30Gemini 3.5 Flash-Lite input / 1M
76%Blended price gap
GPT-6 LunaCheaper blended

Rate-by-rate comparison

USD per 1M tokens · October 2026
MetricGPT-6 LunaGemini 3.5 Flash-LiteWinner
Input / 1M$0.10$0.30GPT-6 Luna
Cached input / 1M$0.01$0.03GPT-6 Luna
Cache write / 1M$0.125—Gemini 3.5 Flash-Lite
Output / 1M$0.50$2.50GPT-6 Luna
Context window1,050,0001,000,000GPT-6 Luna
Batch APIYesYesTie
Long-context tier> 272,000None—

For per-token metrics, the lower number wins. For context window and batch support, the higher or broader option wins. A dash means the provider does not publish that rate: a missing cache-write fee means writes are not billed per token, while a missing cached-input rate means cache hits bill at the full input rate.

Blended cost: 1M input + 250K output

ModelBlended costDifference
GPT-6 Luna$0.225Cheaper
Gemini 3.5 Flash-Lite$0.925+$0.70

Three workloads, two bills

WorkloadGPT-6 LunaGemini 3.5 Flash-LiteWinner
Support chat
1,000 requests · 4K input / 600 output
$0.70$2.70GPT-6 Luna
RAG with caching
1,000 requests · 50K input (45K cached) / 1K output
$1.46$5.36GPT-6 Luna
Nightly batch job
10,000 requests · 10K input / 2K output
$10$40GPT-6 Luna

Which one should you pick?

GPT-6 Luna wins on support chat, cached RAG, nightly batch job, while Gemini 3.5 Flash-Lite wins on none of the three workloads above.

Beyond price, the two differ on input rate ($0.10 vs $0.30); output rate ($0.50 vs $2.50); cached-input rate ($0.01 vs $0.03); cache-write rate ($0.125 vs —); context window (1,050,000 vs 1,000,000); long-context tier (yes, above 272,000 vs none).

Batch mode is available on GPT-6 Luna and Gemini 3.5 Flash-Lite, which halves the nightly job. Both publish cached-input discounts, so a stable system prompt is worth caching on either.

FAQ

Is GPT-6 Luna cheaper than Gemini 3.5 Flash-Lite?

On a blended 1M-input-plus-250K-output workload, GPT-6 Luna is cheaper by 76% ($0.225 vs $0.925). The gap changes for cache-heavy prompts and for batch jobs, as the workload table shows.

Which handles longer prompts, GPT-6 Luna or Gemini 3.5 Flash-Lite?

GPT-6 Luna has the larger context window (1,050,000 vs 1,000,000 tokens). Watch the long-context threshold on GPT-6 Luna: rates rise once input passes it.

Do both models support prompt caching?

GPT-6 Luna bills cached reads at $0.01 per 1M; Gemini 3.5 Flash-Lite at $0.03.

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