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Model Comparison
Model Comparison
Compare performance, benchmarks, and characteristics
gemini-2.0-flash-lite
gemini
Context1M tokens
Input Price$0.07 / 1M tokens
Output Price$0.3 / 1M tokens
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Model Comparison
| Metric |  |  |
|---|---|---|
Pricing | ||
| Input Price | $0.07 / 1M tokens | $2.5 / 1M tokens |
| Output Price | $0.3 / 1M tokens | $10 / 1M tokens |
Capabilities | ||
| Context Window | 1M tokens | 128K tokens |
| Capabilities | tools | |
| Input type | text, image, audio, video | text, image |
Category Scores | ||
| Overall Average | 58.0 | 30.6 |
| Science | 54.5 | 56.6 |
| Vision | 68.0 | N/A |
| Writing | 51.5 | 35.8 |
| Academia | N/A | 40.7 |
| Finance | N/A | 16.5 |
| Marketing | N/A | 34.4 |
| Maths | N/A | 6.0 |
| Programming | N/A | 24.0 |
Benchmark Tests | ||
| AIME | _ | 15.0 |
| AA Coding Index | _ | 24.0 |
| AAII | _ | 27.0 |
| AA Math Index | _ | 6.0 |
| GPQA | 51.5 | 54.3 |
| HLE | _ | 3.3 |
| LiveCodeBench | _ | 30.9 |
| MATH-500 | _ | 75.9 |
| MMLU-Pro | _ | 74.8 |
| MMMU | 68.0 | _ |
| SciCode | _ | 33.3 |
gemini-2.0-flash-lite Advantages
- • Higher benchmark scores (58.0 vs 30.6)
- • Lower input token cost ($0.07 / 1M tokens vs $2.5 / 1M tokens)
- • Larger context window (1M tokens vs 128K tokens)
gpt-4o Advantages