Gemini 3.5 Flash-Lite vs GPT-5.6 Luna

Benchmark Performance

Available Benchmarks

BenchmarkGemini 3.5 Flash-LiteGPT-5.6 Luna
ARC-AGI-1verified-v1-b2e2a31b3d53 · verified_score · leader53.5059% of row best · percent · Gemini 3.5 Flash-Lite (High)90.67100% of row best · percent · GPT-5.6 Luna 2026-07-30 (Max)
ARC-AGI-2verified-v2-326661568d5f · verified_score · leader10.2817% of row best · percent · Gemini 3.5 Flash-Lite (High)59.58100% of row best · percent · GPT-5.6 Luna 2026-07-30 (Max)
LMArena Agent Arenaagent-2026-08-31-011508720696 · outcome_score · leader-10.8187% of row best · score · Gemini 3.5 Flash Lite; 95% CI [-12.19929495, -9.42408695]; sessions 22348; observations 634592; rank 512.13100% of row best · score · GPT 5.6 Luna (xHigh); 95% CI [0.89962762, 3.35915348]; sessions 16383; observations 1269520; rank 26
LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · statistical tie1,436.25100% of row best · rating · gemini-3.5-flash-lite; 95% CI [1431.05053629, 1441.44358777]; votes 21843; rank 741,430.14100% of row best · rating · gpt-5.6-luna-xhigh; 95% CI [1425.14784950, 1435.13857729]; votes 24433; rank 82
LMArena Vision Arenavision-2026-08-27-011508720696 · arena_rating · statistical tie1,268.89100% of row best · rating · gemini-3.5-flash-lite; 95% CI [1258.10808094, 1279.66830878]; votes 3886; rank 341,254.3099% of row best · rating · gpt-5.6-luna-xhigh; 95% CI [1245.05722338, 1263.53552757]; votes 5857; rank 45
LiveBench2026-06-25 · overall · leader66.3586% of row best · percent · gemini-3.5-flash-lite-high · 11,526 output tokens / case77.05100% of row best · percent · gpt-5.6-luna-max · 21,799 output tokens / case
ToneBench2026-08-28-10-task-cd9819ab6e4d · overall_score · leader73.4290% of row best · points · Gemini 3.5 Flash-Lite · 1,966 output tokens / case81.47100% of row best · points · GPT-5.6 Luna (default) · 3,295 output tokens / case
Overall ResultCounted from the protocol-matched rows above · 2 ties0 benchmark wins5 benchmark winsOverall lead

Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.

FieldAt a Glance
Google DeepMind · activeGemini 3.5 Flash-LiteVerified Aug 29, 2026
OpenAI · activeGPT-5.6 LunaVerified Aug 28, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldGemini 3.5 Flash-LiteGPT-5.6 Luna
DeveloperGoogle DeepMindOpenAI
FamilyGemini 3Gpt 5 6
ModelGemini 3.5 Flash-LiteGPT-5.6 Luna
VersionGemini 3.5 Flash-LiteGPT-5.6 Luna
Lifecycleactiveactive
ReleasedUnknownUnknown
Knowledge cutoffUnknown2026-02-16
Input modalitiesText, Image, Video, Audio, DocumentText, Image
Output modalitiesTextText
Context window1,048,5761,050,000
Total parametersUnknownUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableYesYes
Self-hostableNoNo
Provider accessGoogle AI (Standard), Google Gemini (Standard)Openai (Standard), Openrouter (Standard)
Capabilitieschat, generation, reasoning, toolschat, generation, reasoning, tools

13 comparable fields · 7 material differences · Pair passes the primary-source comparison gate

Gemini 3.5 Flash-Lite Capabilities

chatgenerationreasoningtools
Input price$0.30
Output price$2.50
Serving providers2
Canonical IDgoogle-deepmind/gemini-3.5-flash-lite

GPT-5.6 Luna Capabilities

chatgenerationreasoningtools
Input price$0.20
Output price$1.20
Serving providers2
Canonical IDopenai/gpt-5.6-luna

Internal Comparison Graph

Related Comparisons

All text comparisons →
APairBContext
vsfamily variantstext
vsfamily variantstext
vsfamily variantsimage, text
vsfamily variantsimage, text
vsfamily variantsimage, text
vscross-developer peersimage, text
vscross-developer peersimage, text
vscross-developer peersimage, text
vscross-developer peersimage, text
vscross-developer peerstext
vscross-developer peersimage, text
vscross-developer peerstext

Primary Evidence

Sources and Freshness

Questions

Gemini 3.5 Flash-Lite vs GPT-5.6 Luna FAQs

Is Gemini 3.5 Flash-Lite or GPT-5.6 Luna better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.5 Flash-Lite and GPT-5.6 Luna, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Gemini 3.5 Flash-Lite or GPT-5.6 Luna?+

Gemini 3.5 Flash-Lite is $0.30 and GPT-5.6 Luna is $0.20 per million tokens, so GPT-5.6 Luna is cheaper on this metric. Gemini 3.5 Flash-Lite is $2.50 and GPT-5.6 Luna is $1.20 per million tokens, so GPT-5.6 Luna is cheaper on this metric.

Which has a larger context window, Gemini 3.5 Flash-Lite or GPT-5.6 Luna?+

GPT-5.6 Luna has the larger sourced context window. Gemini 3.5 Flash-Lite supports 1,048,576 and GPT-5.6 Luna supports 1,050,000.

Which performs better in benchmarks, Gemini 3.5 Flash-Lite or GPT-5.6 Luna?+

GPT-5.6 Luna leads the current overall benchmark count. The result uses 7 protocol-matched benchmarks from 4 publishers; it is not a universal quality score.

Can Gemini 3.5 Flash-Lite or GPT-5.6 Luna be self-hosted?+

Both models have the same recorded self-hosting status: unsupported. Gemini 3.5 Flash-Lite is not marked open weight; GPT-5.6 Luna is not marked open weight.

Can Gemini 3.5 Flash-Lite and GPT-5.6 Luna understand images?+

Gemini 3.5 Flash-Lite is documented with image input; GPT-5.6 Luna is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Gemini 3.5 Flash-Lite or GPT-5.6 Luna?+

GPT-5.6 Luna has the larger sourced maximum output: Gemini 3.5 Flash-Lite supports 65,536 and GPT-5.6 Luna supports 128,000 output tokens.

Do Gemini 3.5 Flash-Lite and GPT-5.6 Luna support reasoning and tool use?+

Gemini 3.5 Flash-Lite: reasoning, tool calling, and image input. GPT-5.6 Luna: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Gemini 3.5 Flash-Lite or GPT-5.6 Luna?+

Gemini 3.5 Flash-Lite has 2 sourced provider routes; GPT-5.6 Luna has 2, a tie.

Which offers better value, Gemini 3.5 Flash-Lite or GPT-5.6 Luna?+

There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.

Send Feedback