Gemma 4 26B A4B vs GPT-5 Nano

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#46 of 460.0 score · 2/3 sources · provisional · missing LiveBench · full-core range 0.0–33.3
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.070Deepinfra · Sep 21, 2026$0.025Openrouter · Sep 3, 2026
Output priceFrom · USD / 1M tokens$0.30Openrouter · Sep 22, 2026$0.20Openrouter · Sep 3, 2026
Context windowMaximum documented tokens262K400K
Model facts checkedSep 3, 2026View model evidence →Sep 3, 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 Nano
LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader1,434.47100% of row best · rating · gemma-4-26b-a4b; 95% CI [1426.87673667, 1442.06986887]; votes 5804; rank 801,319.7292% of row best · rating · gpt-5-nano-high; 95% CI [1312.87607943, 1326.57003978]; votes 8128; rank 218
LMArena Vision Arenavision-2026-09-13-d25aabda0010 · arena_rating · leader1,258.90100% of row best · rating · gemma-4-26b-a4b; 95% CI [1252.23205561, 1265.56747875]; votes 22658; rank 471,159.1092% of row best · rating · gpt-5-nano-high; 95% CI [1148.05999135, 1170.13906838]; votes 3948; rank 100
Overall ResultCounted from the protocol-matched rows above2 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 Nano
DeveloperGoogle DeepMindOpenAI
FamilyGemma 4Gpt 5
ModelGemma 4 26B-A4BGPT-5 Nano
VersionGemma 4 26B-A4BGPT-5 Nano
Lifecycleactiveactive
Released2026-03-112025-08-07
Knowledge cutoffUnknown2024-05-31
Input modalitiesText, ImageText, Image
Output modalitiesTextText
Context window262K400K
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, structured_outputs, tools

Gemma 4 26B A4B Capabilities

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

GPT-5 Nano Capabilities

chatgenerationreasoningstructured outputstools
Serving providers2
Canonical IDopenai/gpt-5-nano

Primary Evidence

Sources and Freshness

Questions

Gemma 4 26B A4B vs GPT-5 Nano FAQs

Is Gemma 4 26B A4B or GPT-5 Nano better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Gemma 4 26B A4B and GPT-5 Nano, 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 Nano?+

Gemma 4 26B A4B is $0.070 and GPT-5 Nano is $0.025 per million tokens, so GPT-5 Nano is cheaper on this metric. Gemma 4 26B A4B is $0.30 and GPT-5 Nano is $0.20 per million tokens, so GPT-5 Nano is cheaper on this metric.

Which has a larger context window, Gemma 4 26B A4B or GPT-5 Nano?+

GPT-5 Nano has the larger sourced context window. Gemma 4 26B A4B supports 262K and GPT-5 Nano supports 400K.

Which performs better in benchmarks, Gemma 4 26B A4B or GPT-5 Nano?+

There is no overall benchmark winner: An overall winner requires at least two decisive benchmarks from at least two original publishers.

Can Gemma 4 26B A4B or GPT-5 Nano 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 Nano is not marked open weight.

Can Gemma 4 26B A4B and GPT-5 Nano understand images?+

Gemma 4 26B A4B is documented with image input; GPT-5 Nano 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 Nano?+

Neither has a larger sourced maximum output. Gemma 4 26B A4B is — and GPT-5 Nano is 128K.

Do Gemma 4 26B A4B and GPT-5 Nano support reasoning and tool use?+

Gemma 4 26B A4B: reasoning, tool calling, and image input. GPT-5 Nano: 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 Nano?+

Gemma 4 26B A4B has 4 sourced provider routes; GPT-5 Nano has 2, so Gemma 4 26B A4B has broader tracked availability.

Which offers better value, Gemma 4 26B A4B or GPT-5 Nano?+

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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