Gemma 4 26B A4B vs GPT-5.6 Luna
At a Glance
| Compare | Gemma 4 26B A4BGoogle DeepMind | GPT-5.6 LunaOpenAI |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | UnrankedNot in the 46-model eligible cohort | #31 of 4652.7 score · 3/3 sources · complete |
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #6 of 44$0.026 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | UnrankedNot 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 tokens | 262K | 1,050K |
| Model facts checked | Sep 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
| Benchmark | Gemma 4 26B-A4B | GPT-5.6 Luna |
|---|---|---|
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · statistical tie | 1,434.47100% of row best · rating · gemma-4-26b-a4b; 95% CI [1426.87673667, 1442.06986887]; votes 5804; rank 80 | 1,429.89100% 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 tie | 1,258.90100% of row best · rating · gemma-4-26b-a4b; 95% CI [1252.23205561, 1265.56747875]; votes 22658; rank 47 | 1,258.53100% 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 ties | 0 benchmark winsNo overall winner | 0 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
| Field | Gemma 4 26B-A4B | GPT-5.6 Luna |
|---|---|---|
| Developer | Google DeepMind | OpenAI |
| Family | Gemma 4 | Gpt 5 6 |
| Model | Gemma 4 26B-A4B | GPT-5.6 Luna |
| Version | Gemma 4 26B-A4B | GPT-5.6 Luna |
| Lifecycle | active | active |
| Released | 2026-03-11 | Unknown |
| Knowledge cutoff | Unknown | 2026-02-16 |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Text | Text |
| Context window | 262K | 1,050K |
| Total parameters | 26B | Unknown |
| Active parameters | 4B | Unknown |
| License | apache-2.0 | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Deepinfra (Standard), Google Gemini (Standard), Openrouter (Standard), Together Ai (Standard) | Openai (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, reasoning, structured_outputs, tools | chat, generation, reasoning, tools |
Gemma 4 26B A4B Capabilities
GPT-5.6 Luna Capabilities
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.