Gemma 4 26B A4B vs GPT-5.3 Codex

At a Glance

Compare
Gemma 4 26B A4BGoogle DeepMind
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.070Deepinfra · Sep 22, 2026$1.75Openai · Sep 3, 2026
Output priceFrom · USD / 1M tokens$0.30Openrouter · Sep 22, 2026$14.00Openai · 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 →
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 26B-A4BGPT-5.3-Codex
DeveloperGoogle DeepMindOpenAI
FamilyGemma 4Gpt 5 3
ModelGemma 4 26B-A4BGPT-5.3-Codex
VersionGemma 4 26B-A4BGPT-5.3-Codex
Lifecycleactiveactive
Released2026-03-11Unknown
Knowledge cutoffUnknown2025-08-31
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-5.3 Codex Capabilities

chatgenerationreasoningstructured outputstools
Serving providers2
Canonical IDopenai/gpt-5.3-codex

Primary Evidence

Sources and Freshness

Questions

Gemma 4 26B A4B vs GPT-5.3 Codex FAQs

Is Gemma 4 26B A4B or GPT-5.3 Codex better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Gemma 4 26B A4B and GPT-5.3 Codex, 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-5.3 Codex?+

Gemma 4 26B A4B is $0.070 and GPT-5.3 Codex is $1.75 per million tokens, so Gemma 4 26B A4B is cheaper on this metric. Gemma 4 26B A4B is $0.30 and GPT-5.3 Codex is $14.00 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-5.3 Codex?+

GPT-5.3 Codex has the larger sourced context window. Gemma 4 26B A4B supports 262K and GPT-5.3 Codex supports 400K.

Which performs better in benchmarks, Gemma 4 26B A4B or GPT-5.3 Codex?+

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

Can Gemma 4 26B A4B or GPT-5.3 Codex 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-5.3 Codex is not marked open weight.

Can Gemma 4 26B A4B and GPT-5.3 Codex understand images?+

Gemma 4 26B A4B is documented with image input; GPT-5.3 Codex is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Gemma 4 26B A4B or GPT-5.3 Codex?+

Neither has a larger sourced maximum output. Gemma 4 26B A4B is — and GPT-5.3 Codex is 128K.

Do Gemma 4 26B A4B and GPT-5.3 Codex support reasoning and tool use?+

Gemma 4 26B A4B: reasoning, tool calling, and image input. GPT-5.3 Codex: 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-5.3 Codex?+

Gemma 4 26B A4B has 4 sourced provider routes; GPT-5.3 Codex has 2, so Gemma 4 26B A4B has broader tracked availability.

Which offers better value, Gemma 4 26B A4B or GPT-5.3 Codex?+

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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