Polarison

Gemini 3.5 Flash-Lite vs GPT-5.6 Luna: pricing and benchmarks

GPT-5.6 Luna is 33% cheaper on input tokens ($0.20 vs $0.30 per 1M). GPT-5.6 Luna is 52% cheaper on output tokens ($1.20 vs $2.50 per 1M). On our document Q&A workload (50,000 questions a month), GPT-5.6 Luna costs $116.00 a month versus $195.00 for Gemini 3.5 Flash-Lite, 41% less. GPT-5.6 Luna scores 156.3 on the Epoch Capabilities Index vs 145.1 for Gemini 3.5 Flash-Lite.

Prices verified September 14, 2026.

Which should you choose?

Overall capability
GPT-5.6 Luna

GPT-5.6 Luna scores 156.3 on the Epoch Capabilities Index vs 145.1 for Gemini 3.5 Flash-Lite.

Advanced math
GPT-5.6 Luna

GPT-5.6 Luna scores 82.1% on FrontierMath (Tiers 1–3) vs 26.0% for Gemini 3.5 Flash-Lite.

Price
GPT-5.6 Luna

GPT-5.6 Luna costs $0.45 per 1M tokens (3:1 input-to-output mix) vs $0.85 for Gemini 3.5 Flash-Lite, 47% less.

Best value
GPT-5.6 Luna

GPT-5.6 Luna delivers equal or higher overall capability for 47% less.

Pricing and specs

Gemini 3.5 Flash-LiteGPT-5.6 Luna
ProviderGoogleOpenAI
API model IDgemini-3.5-flash-litegpt-5.6-luna
Input / 1M tokens$0.30$0.20
Cached input / 1M tokens$0.03$0.02
Output / 1M tokens$2.50$1.20
Long-context rates$0.40 in / $1.80 out on long-context requests
Context window1.05M tokens1.05M tokens
Max output66K tokens128K tokens
Batch discount50% off50% off

Benchmarks

Gemini 3.5 Flash-LiteGPT-5.6 Luna
Epoch Capabilities Index145.1156.3
GPQA Diamond· Science reasoning77.8%88.8%
FrontierMath (Tiers 1–3)· Advanced math26.0%82.1%
SimpleQA Verified· Factual accuracy41.0%
ARC-AGI-2· Abstract reasoning10.3%59.5%
DeepSWE· Coding67.2%
APEX-Agents· Agentic work

Source: Epoch AI, best recorded result per model (CC BY 4.0). A dash means no published score. See all benchmarks

Monthly cost for real workloads

WorkloadGemini 3.5 Flash-LiteGPT-5.6 LunaDifference
Support chatbot
100,000 replies a month, ~1,500 input tokens (system prompt + history) and ~400 output tokens each.
$145.00$78.00GPT-5.6 Luna 46% cheaper
Document Q&A (RAG)
50,000 questions a month with ~8,000 tokens of retrieved context and ~600 output tokens each.
$195.00$116.00GPT-5.6 Luna 41% cheaper
Coding agent
10,000 agent steps a month, ~40,000 input tokens each (70% read from the prompt cache) and ~2,000 output tokens.
$94.40$53.60GPT-5.6 Luna 43% cheaper

Estimates use standard list prices and ignore cache-write surcharges. Different tokenizers can count the same text differently, so test with your own prompts.

Gemini 3.5 Flash-Lite vs GPT-5.6 Luna cost calculator

Standard-tier list prices. Long-context rates apply automatically where the provider publishes a threshold. Excludes cache-write surcharges, taxes, batch and volume discounts.

Gemini 3.5 Flash-Lite pricing notes

Google’s lowest-cost Gemini 3.5 model for high-volume work.

  • The same input price applies to text, image, video and audio.
  • Output price includes thinking tokens.
Google official pricing ↗

GPT-5.6 Luna pricing notes

The GPT-5.6 model optimized for cost-sensitive, high-volume workloads.

  • Cache writes are billed at $0.25 per 1M tokens.
  • Fast mode costs 2x the standard rate; Flex costs half.
OpenAI official pricing ↗

Frequently asked questions

Is Gemini 3.5 Flash-Lite cheaper than GPT-5.6 Luna?
GPT-5.6 Luna is 33% cheaper on input tokens ($0.20 vs $0.30 per 1M). GPT-5.6 Luna is 52% cheaper on output tokens ($1.20 vs $2.50 per 1M). On our document Q&A workload (50,000 questions a month), GPT-5.6 Luna costs $116.00 a month versus $195.00 for Gemini 3.5 Flash-Lite, 41% less.
Which is more capable, Gemini 3.5 Flash-Lite or GPT-5.6 Luna?
GPT-5.6 Luna scores 156.3 on the Epoch Capabilities Index vs 145.1 for Gemini 3.5 Flash-Lite.
How much does Gemini 3.5 Flash-Lite cost per 1M tokens?
Gemini 3.5 Flash-Lite costs $0.30 per 1M input tokens and $2.50 per 1M output tokens, and $0.03 per 1M cached input tokens on Google’s standard tier.
How much does GPT-5.6 Luna cost per 1M tokens?
GPT-5.6 Luna costs $0.20 per 1M input tokens and $1.20 per 1M output tokens, and $0.02 per 1M cached input tokens on OpenAI’s standard tier.
Which has the larger context window, Gemini 3.5 Flash-Lite or GPT-5.6 Luna?
GPT-5.6 Luna has the larger context window: 1.05M tokens versus 1.05M for Gemini 3.5 Flash-Lite.

Related comparisons