Side-by-side comparison of pricing, context window, benchmarks, capabilities, and license. Data sourced from the Interestana AI Index, kept current as developers update their models.
Model A — Google DeepMind
Gemini 2.0 Flash is Google’s speed-optimised multimodal model: a 1M-token context, native tool use, and aggressive pricing for high-throughput applications.
Model B — Microsoft Research
Phi-4 is Microsoft Research’s small-model masterpiece: 14 billion parameters yet competitive with much larger models on math and reasoning, trained largely on synthetic data.
| Property | Gemini 2.0 Flash | Phi-4 |
|---|---|---|
| Released | Feb 5, 2025 | Dec 12, 2024 |
| Developer | Google DeepMind | Microsoft Research |
| Type | multimodal | llm |
| License | proprietary | open-weight |
| Context window | 1,000,000 | 16,000 |
| Parameters | — | 14B |
| Input $/M tokens | $0.10 | — |
| Output $/M tokens | $0.40 | — |
Bold green values indicate the winner on that dimension where comparison is meaningful (lower price wins; bigger context wins; more open license wins; newer date wins).
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