Gemma 3 vs GPT-4o
2026 - Pricing, benchmarks, and use case comparison
Quick take
- •Gemma 3 is open-weights - free to self-host with no API costs. GPT-4o requires paid API access.
- •Gemma 3 is open-source: fine-tune it, self-host it, or use any inference provider. GPT-4o is closed-source.
Specs comparison
| Gemma 3 | GPT-4o | |
|---|---|---|
| Provider | Google DeepMind | OpenAI |
| Type | Open source | Closed source |
| Context window | 128K | 128K |
| Input / 1M tokens | ✓Free (self-host) | $2.50 |
| Output / 1M tokens | Free (self-host) | $10.00 |
| Release date | 2025-03 | 2024-05 |
Benchmarks
| Benchmark | Gemma 3 | GPT-4o |
|---|---|---|
| MMLU | ~76% | 88.7% |
| HumanEval | - | 90.2% |
| GPQA | - | 53.6% |
Scores sourced from official provider release posts.
Strengths
Gemma 3
- ✓Runs on consumer hardware (4B and 12B variants)
- ✓Multimodal input support
- ✓Strong benchmark performance relative to size
- ✓Tight Keras and JAX integration
- ✓Good instruction following out of the box
GPT-4o
- ✓Native multimodal input (text, image, audio)
- ✓Fast response times at this capability level
- ✓Strong on structured data and JSON output
- ✓Best ecosystem support across SDKs and tools
- ✓Real-time audio capabilities
Which should you choose?
Choose Gemma 3 if you need...
- →On-device and edge inference
- →Low-resource environments
- →Prototyping with free Google AI Studio access
- →Researchers benchmarking small models
Choose GPT-4o if you need...
- →Multimodal apps
- →High-volume production use
- →Chatbots and assistants
- →Structured data extraction