Gemini is Google DeepMind's flagship family of multimodal large language models, first released in December 2023. Gemini 1.5 Pro introduced a 1 million token context window — the largest of any production model at the time — enabling analysis of 1 hour of video, 11 hours of audio, 30,000 lines of code, or 700,000 words in a single prompt. Gemini 2.0 and 2.5 Pro followed with further improvements in reasoning and multimodal capability.
Architecture: MoE and native multimodality
Gemini was designed from the ground up as a natively multimodal model — unlike GPT-4 which added vision as a module, Gemini's architecture processes text, images, audio, and video through a shared representation from the start. Gemini 1.5 uses a Mixture of Experts architecture with a novel 'Mamba' state space model layer for efficient long-context processing.
| Model | Context | Key capability | Access |
|---|---|---|---|
| Gemini 1.0 Pro | 32K | Baseline multimodal | Free |
| Gemini 1.5 Flash | 1M | Fast, cheap, long context | Free tier |
| Gemini 1.5 Pro | 1M | Long context reasoning | Paid |
| Gemini 2.0 Flash | 1M | Agentic, real-time audio | Free tier |
| Gemini 2.5 Pro | 1M+ | Best reasoning, coding | Paid |
1M context in practice
1 million tokens can hold: an entire software codebase, a full-length novel 5x over, 5 hours of audio transcripts, or 200 research papers. In practice, attention degradation at extreme lengths means retrieval quality drops for information in the 'middle' of very long contexts — a phenomenon called the 'lost in the middle' problem.
Gemini vs GPT-4 vs Claude: honest benchmark comparison
| Benchmark | What it tests | GPT-4o | Claude 3.5 Sonnet | Gemini 1.5 Pro |
|---|---|---|---|---|
| MMLU | Knowledge (57 subjects) | 88.7% | 88.7% | 85.9% |
| HumanEval | Python coding | 90.2% | 92.0% | 84.1% |
| MATH | Competition math | 76.6% | 71.1% | 67.7% |
| GPQA | PhD-level science | 53.6% | 59.4% | 46.2% |
| Video QA | Video understanding | N/A | N/A | Best-in-class |
Benchmarks tell an incomplete story. GPT-4o leads on math. Claude 3.5 Sonnet leads on coding and PhD science. Gemini 1.5 Pro leads on long-context tasks and video understanding. The right model depends on the task — which is why multi-model platforms like LumiChats give you access to all three.
On LumiChats
LumiChats includes Gemini 1.5 Pro and Gemini 2.0 Flash in its model lineup — use them alongside GPT-4o and Claude to find the best model for each task.
Try it free