Gemma 4 12B vs Gemma 4 26B A4B

At a Glance

Compare
Gemma 4 12BGoogle DeepMind
Gemma 4 26B A4BGoogle DeepMind
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v4.4UnrankedNot in the 57-model eligible cohort#26 of 5747.4 score · 1/3 sources · single-source provisional · missing LiveBench, ARC-AGI-2 · full-core range 15.8–82.5
Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$0.070Deepinfra ↗ · Oct 19, 2026
Output priceFrom · USD / 1M tokensNot reported$0.30Openrouter ↗ · Oct 19, 2026
Context windowMaximum documented tokens262K262K
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 →
No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.

Side-by-Side Facts

FieldGemma 4 12BGemma 4 26B-A4B
DeveloperGoogle DeepMindGoogle DeepMind
FamilyGemma 4Gemma 4
ModelGemma 4 12BGemma 4 26B-A4B
VersionGemma 4 12BGemma 4 26B-A4B
Lifecycleactiveactive
Released2026-05-232026-03-11
Knowledge cutoffUnknownUnknown
Input modalitiesText, Image, Video, AudioText, Image
Output modalitiesTextText
Context window262K262K
Total parameters12B26B
Active parametersUnknown4B
Licenseapache-2.0apache-2.0
Open weightsYesYes
API availableYesYes
Self-hostableYesYes
Provider accessTogether Ai (Standard)Deepinfra (Standard), Google Gemini (Standard), Openrouter (Standard), Together Ai (Standard)
Capabilitieschat, generation, reasoning, structured_outputs, toolschat, generation, reasoning, structured_outputs, tools

Gemma 4 12B Capabilities

chatgenerationreasoningstructured outputstools
Serving providers1
Canonical IDgoogle/gemma-4-12B-it

Gemma 4 26B A4B Capabilities

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

Primary Evidence

Sources and Freshness

Questions

Gemma 4 12B vs Gemma 4 26B A4B FAQs

Is Gemma 4 12B or Gemma 4 26B A4B better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Gemma 4 12B and Gemma 4 26B A4B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Gemma 4 12B or Gemma 4 26B A4B?+

Only Gemma 4 26B A4B has a directly sourced input price: $0.070 per million tokens. Only Gemma 4 26B A4B has a directly sourced output price: $0.30 per million tokens.

Which has a larger context window, Gemma 4 12B or Gemma 4 26B A4B?+

Both models have the same sourced context window: 262,144 tokens each.

Which performs better in benchmarks, Gemma 4 12B or Gemma 4 26B A4B?+

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Can Gemma 4 12B or Gemma 4 26B A4B be self-hosted?+

Both models have the same sourced self-hosting status: supported. Gemma 4 12B is open weight; Gemma 4 26B A4B is open weight.

Can Gemma 4 12B and Gemma 4 26B A4B understand images?+

Gemma 4 12B is documented with image input; Gemma 4 26B A4B is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Gemma 4 12B or Gemma 4 26B A4B?+

Neither model has a sourced maximum output in this comparison, so a larger limit cannot be determined.

Do Gemma 4 12B and Gemma 4 26B A4B support reasoning and tool use?+

Gemma 4 12B: reasoning, tool calling, and image input. Gemma 4 26B A4B: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Gemma 4 12B or Gemma 4 26B A4B?+

Gemma 4 12B has 1 sourced provider route; Gemma 4 26B A4B has 4, so Gemma 4 26B A4B has broader tracked availability.

Which offers better value, Gemma 4 12B or Gemma 4 26B A4B?+

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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