Gemma 4 E4B vs GPT-4o Mini

Benchmark Performance

Available Benchmarks

No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.
FieldAt a Glance
Google Deepmind · activeGemma 4 E4BVerified Sep 3, 2026
Openai · activeGPT-4o MiniVerified Aug 29, 2026
Not a Valid ComparisonThese records do not share a sourced modality and workload.

Technical Differences

Side-by-Side Facts

Interactive only
FieldGemma 4 E4BGPT-4o Mini
DeveloperGoogle DeepmindOpenai
FamilyGemma 4Gpt 4O
ModelGemma 4 E4BGPT-4o Mini
VersionGemma 4 E4BGPT-4o Mini
Lifecycleactiveactive
Released2026-03-02Unknown
Knowledge cutoffUnknown2023-10-01
Input modalitiesText, Image, Video, AudioUnknown
Output modalitiesTextUnknown
Context window131,072128,000
Total parametersUnknownUnknown
Active parametersUnknownUnknown
Licenseapache-2.0Unknown
Open weightsYesNo
API availableYesYes
Self-hostableYesNo
Provider accessDeepinfra (Standard), Together Ai (Standard)Openai (Standard), Openrouter (Standard)
Capabilitieschat, generation, reasoning, structured_outputs, toolschat, generation, tools

11 comparable fields · 9 material differences · Interactive comparison only; indexing gate not met

Gemma 4 E4B Capabilities

chatgenerationreasoningstructured outputstools
Input price$0.020
Output price$0.10
Serving providers2
Canonical IDgoogle/gemma-4-E4B-it

GPT-4o Mini Capabilities

chatgenerationtools
Input price$0.075
Output price$0.30
Serving providers2
Canonical IDopenai/gpt-4o-mini

Internal Comparison Graph

Related Comparisons

APairBContext
vsfamily variantsaudio, image, text, video
vsfamily variantsaudio, image, text, video
vscross-developer peersaudio, image, text, video
vscross-developer peersaudio, image, text, video
vscross-developer peersaudio, image, text, video
vscross-developer peersimage, text, video
vscross-developer peersimage, text
vscross-developer peerstext
vscross-developer peerstext
vscross-developer peerstext
vscross-developer peerstext
vscross-developer peerstext

Primary Evidence

Sources and Freshness

Questions

Gemma 4 E4B vs GPT-4o Mini FAQs

Is Gemma 4 E4B or GPT-4o Mini better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Gemma 4 E4B and GPT-4o Mini, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Gemma 4 E4B or GPT-4o Mini?+

Gemma 4 E4B is $0.020 and GPT-4o Mini is $0.075 per million tokens, so Gemma 4 E4B is cheaper on this metric. Gemma 4 E4B is $0.10 and GPT-4o Mini is $0.30 per million tokens, so Gemma 4 E4B is cheaper on this metric.

Which has a larger context window, Gemma 4 E4B or GPT-4o Mini?+

Gemma 4 E4B has the larger sourced context window. Gemma 4 E4B supports 131,072 and GPT-4o Mini supports 128,000.

Which performs better in benchmarks, Gemma 4 E4B or GPT-4o Mini?+

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

Can Gemma 4 E4B or GPT-4o Mini be self-hosted?+

Gemma 4 E4B is the only model in this pair currently marked as self-hostable. Gemma 4 E4B is open weight; GPT-4o Mini is not marked open weight.

Can Gemma 4 E4B and GPT-4o Mini understand images?+

Gemma 4 E4B is documented with image input; GPT-4o Mini is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Gemma 4 E4B or GPT-4o Mini?+

Neither has a larger sourced maximum output. Gemma 4 E4B is — and GPT-4o Mini is 16,384.

Do Gemma 4 E4B and GPT-4o Mini support reasoning and tool use?+

Gemma 4 E4B: reasoning, tool calling, and image input. GPT-4o Mini: tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, Gemma 4 E4B or GPT-4o Mini?+

Gemma 4 E4B has 2 sourced provider routes; GPT-4o Mini has 2, a tie.

Which offers better value, Gemma 4 E4B or GPT-4o Mini?+

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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