Gemma 4 E2B vs GPT-4o
Benchmark Performance
Available Benchmarks
Technical Differences
Side-by-Side Facts
| Field | Gemma 4 E2B | GPT-4o |
|---|---|---|
| Developer | Google DeepMind | OpenAI |
| Family | Gemma 4 | Gpt 4o |
| Model | Gemma 4 E2B | GPT-4o |
| Version | Gemma 4 E2B | GPT-4o |
| Lifecycle | active | active |
| Released | 2026-03-02 | Unknown |
| Knowledge cutoff | Unknown | 2023-10-01 |
| Input modalities | Text, Image, Video, Audio | Text, Image |
| Output modalities | Text | Text |
| Context window | 131,072 | 128,000 |
| Total parameters | Unknown | Unknown |
| Active parameters | Unknown | Unknown |
| License | apache-2.0 | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Together Ai (Standard) | Openai (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, reasoning, structured_outputs, tools | chat, generation, tools |
13 comparable fields · 10 material differences · Pair passes the primary-source comparison gate
Gemma 4 E2B Capabilities
GPT-4o Capabilities
Internal Comparison Graph
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
Gemma 4 E2BGoogle DeepMind | vs | Gemma 4 E4BGoogle DeepMind | family variantsaudio, image, text, video |
Gemma 4 12BGoogle DeepMind | vs | Gemma 4 E2BGoogle DeepMind | family variantsaudio, image, text, video |
Gemma 4 E2BGoogle DeepMind | vs |  Muse Spark 1.2Meta | cross-developer peersaudio, image, text, video |
Gemma 4 E2BGoogle DeepMind | vs |  Qwen3.7-PlusQwen | cross-developer peersimage, text, video |
Gemma 4 26B-A4BGoogle DeepMind | vs | Gemma 4 E2BGoogle DeepMind | family variantsimage, text |
Gemma 4 31BGoogle DeepMind | vs | Gemma 4 E2BGoogle DeepMind | family variantsimage, text |
Gemma 4 E2BGoogle DeepMind | vs | o3-proOpenAI | cross-developer peersimage, text |
GPT-4oOpenAI | vs | GPT-5OpenAI | family variantsimage, text |
GPT-4oOpenAI | vs | GPT-5.2OpenAI | family variantsimage, text |
Gemma 4 E2BGoogle DeepMind | vs | GPT-4o MiniOpenAI | cross-developer peersimage, text |
Gemma 4 E4BGoogle DeepMind | vs | GPT-4oOpenAI | cross-developer peersimage, text |
GPT-4oOpenAI | vs |  GLM-OCRZ.ai | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Gemma 4 E2B vs GPT-4o FAQs
Is Gemma 4 E2B or GPT-4o better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemma 4 E2B and GPT-4o, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Gemma 4 E2B or GPT-4o?+
Only GPT-4o has a directly sourced input price: $1.25 per million tokens. Only GPT-4o has a directly sourced output price: $5.00 per million tokens.
Which has a larger context window, Gemma 4 E2B or GPT-4o?+
Gemma 4 E2B has the larger sourced context window. Gemma 4 E2B supports 131,072 and GPT-4o supports 128,000.
Which performs better in benchmarks, Gemma 4 E2B or GPT-4o?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Gemma 4 E2B or GPT-4o be self-hosted?+
Gemma 4 E2B is the only model in this pair currently marked as self-hostable. Gemma 4 E2B is open weight; GPT-4o is not marked open weight.
Can Gemma 4 E2B and GPT-4o understand images?+
Gemma 4 E2B is documented with image input; GPT-4o is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Gemma 4 E2B or GPT-4o?+
Neither has a larger sourced maximum output. Gemma 4 E2B is — and GPT-4o is 16,384.
Do Gemma 4 E2B and GPT-4o support reasoning and tool use?+
Gemma 4 E2B: reasoning, tool calling, and image input. GPT-4o: tool calling and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Gemma 4 E2B or GPT-4o?+
Gemma 4 E2B has 1 sourced provider route; GPT-4o has 2, so GPT-4o has broader tracked availability.
Which offers better value, Gemma 4 E2B or GPT-4o?+
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.