Gemma 4 26B A4B vs GPT-5.6 Luna

At a Glance

Compare
Gemma 4 26B A4BGoogle DeepMind
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5UnrankedNot in the 46-model eligible cohort#31 of 4652.7 score · 3/3 sources · complete
CostLower is better · Published-token output estimateUnrankedNot in the 44-model eligible cohort#6 of 44$0.026 per LiveBench case
EfficiencyHigher is better · MM Efficiency v1.5UnrankedNot in the 38-model eligible cohort#4 of 3864.8 score · 3/3 sources · complete
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.070Deepinfra · Sep 21, 2026$0.20Openai · Sep 3, 2026
Output priceFrom · USD / 1M tokens$0.30Openrouter · Sep 22, 2026$1.20Openai · Sep 3, 2026
Context windowMaximum documented tokens262K1,050K
Model facts checkedSep 3, 2026View model evidence →Aug 28, 2026View model evidence →

Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →

Available Benchmarks

All benchmark results →
BenchmarkGemma 4 26B-A4BGPT-5.6 Luna
LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · statistical tie1,434.47100% of row best · rating · gemma-4-26b-a4b; 95% CI [1426.87673667, 1442.06986887]; votes 5804; rank 801,429.89100% of row best · rating · gpt-5.6-luna-xhigh; 95% CI [1425.11549148, 1434.66063238]; votes 28547; rank 86
LMArena Vision Arenavision-2026-09-13-d25aabda0010 · arena_rating · statistical tie1,258.90100% of row best · rating · gemma-4-26b-a4b; 95% CI [1252.23205561, 1265.56747875]; votes 22658; rank 471,258.53100% of row best · rating · gpt-5.6-luna-xhigh; 95% CI [1250.17799393, 1266.87249678]; votes 7793; rank 48
Overall ResultCounted from the protocol-matched rows above · 2 ties0 benchmark winsNo overall winner0 benchmark winsNo overall winner

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

Side-by-Side Facts

FieldGemma 4 26B-A4BGPT-5.6 Luna
DeveloperGoogle DeepMindOpenAI
FamilyGemma 4Gpt 5 6
ModelGemma 4 26B-A4BGPT-5.6 Luna
VersionGemma 4 26B-A4BGPT-5.6 Luna
Lifecycleactiveactive
Released2026-03-11Unknown
Knowledge cutoffUnknown2026-02-16
Input modalitiesText, ImageText, Image
Output modalitiesTextText
Context window262K1,050K
Total parameters26BUnknown
Active parameters4BUnknown
Licenseapache-2.0Unknown
Open weightsYesNo
API availableYesYes
Self-hostableYesNo
Provider accessDeepinfra (Standard), Google Gemini (Standard), Openrouter (Standard), Together Ai (Standard)Openai (Standard), Openrouter (Standard)
Capabilitieschat, generation, reasoning, structured_outputs, toolschat, generation, reasoning, tools

Gemma 4 26B A4B Capabilities

chatgenerationreasoningstructured outputstools
Serving providers4
Canonical IDgoogle/gemma-4-26B-A4B-it

GPT-5.6 Luna Capabilities

chatgenerationreasoningtools
Serving providers2
Canonical IDopenai/gpt-5.6-luna

Primary Evidence

Sources and Freshness

Questions

Gemma 4 26B A4B vs GPT-5.6 Luna FAQs

Is Gemma 4 26B A4B or GPT-5.6 Luna better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Gemma 4 26B A4B and GPT-5.6 Luna, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Gemma 4 26B A4B or GPT-5.6 Luna?+

Gemma 4 26B A4B is $0.070 and GPT-5.6 Luna is $0.20 per million tokens, so Gemma 4 26B A4B is cheaper on this metric. Gemma 4 26B A4B is $0.30 and GPT-5.6 Luna is $1.20 per million tokens, so Gemma 4 26B A4B is cheaper on this metric.

Which has a larger context window, Gemma 4 26B A4B or GPT-5.6 Luna?+

GPT-5.6 Luna has the larger sourced context window. Gemma 4 26B A4B supports 262K and GPT-5.6 Luna supports 1,050K.

Which performs better in benchmarks, Gemma 4 26B A4B or GPT-5.6 Luna?+

There is no overall benchmark winner: Neither model leads outside the score tolerance on the verified common benchmarks.

Can Gemma 4 26B A4B or GPT-5.6 Luna be self-hosted?+

Gemma 4 26B A4B is the only model in this pair currently marked as self-hostable. Gemma 4 26B A4B is open weight; GPT-5.6 Luna is not marked open weight.

Can Gemma 4 26B A4B and GPT-5.6 Luna understand images?+

Gemma 4 26B A4B 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, Gemma 4 26B A4B or GPT-5.6 Luna?+

Neither has a larger sourced maximum output. Gemma 4 26B A4B is — and GPT-5.6 Luna is 128K.

Do Gemma 4 26B A4B and GPT-5.6 Luna support reasoning and tool use?+

Gemma 4 26B A4B: 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, Gemma 4 26B A4B or GPT-5.6 Luna?+

Gemma 4 26B A4B has 4 sourced provider routes; GPT-5.6 Luna has 2, so Gemma 4 26B A4B has broader tracked availability.

Which offers better value, Gemma 4 26B A4B 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.

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