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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 | $3 / 1M tokens | $0.07 / 1M tokens |
| Output Price | $15 / 1M tokens | $0.3 / 1M tokens |
Capabilities | ||
| Context Window | 256K tokens | 1M tokens |
| Capabilities | tools | |
| Input type | text | text, image, audio, video |
Category Scores | ||
| Overall Average | 74.3 | 64.4 |
| Maths | 92.7 | N/A |
| Finance | 79.0 | N/A |
| Science | 80.1 | 61.2 |
| Writing | 67.6 | 64.1 |
| Academia | 76.4 | N/A |
| Marketing | 69.1 | N/A |
| Programming | 55.1 | N/A |
| Vision | N/A | 68.0 |
Benchmark Tests | ||
| HLE | 23.9 | _ |
| AIME | 94.3 | _ |
| GPQA | 87.6 | 51.5 |
| MMMU | _ | 68.0 |
| SciCode | 45.7 | _ |
| MATH-500 | 99.0 | _ |
| MMLU-Pro | 86.6 | 71.6 |
| LiveCodeBench | 81.9 | _ |
| AA Math Index | 92.7 | _ |
| AA Coding Index | 55.1 | _ |
| AAII | 65.3 | _ |
grok-4 Advantages
- • Higher benchmark scores (74.3 vs 64.4)
gemini-2.0-flash-lite Advantages
- • Lower input token cost ($0.07 / 1M tokens vs $3 / 1M tokens)
- • Larger context window (1M tokens vs 256K tokens)