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Model Comparison
Model Comparison
Compare performance, benchmarks, and characteristics
gemini-1.5-flash-8b
gemini
Context1M tokens
Input Price$0.04 / 1M tokens
Output Price$0.15 / 1M tokens
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Model Comparison
| Metric |  |  |
|---|---|---|
Pricing | ||
| Input Price | $0.04 / 1M tokens | $2 / 1M tokens |
| Output Price | $0.15 / 1M tokens | $8 / 1M tokens |
Capabilities | ||
| Context Window | 1M tokens | 1047576 tokens |
| Capabilities | tools | tools |
| Input type | text, image, audio, video | text, image |
Category Scores | ||
| Overall Average | 28.4 | 56.8 |
| Academia | 26.7 | 54.9 |
| Finance | 26.2 | 55.5 |
| Marketing | 12.4 | 54.4 |
| Maths | 36.1 | 67.5 |
| Programming | 22.3 | 41.9 |
| Science | 37.1 | 66.5 |
| Vision | 53.7 | 74.8 |
| Writing | 12.6 | 39.2 |
Benchmark Tests | ||
| AIME | 3.3 | 43.7 |
| AA Coding Index | 22.3 | 41.9 |
| AAII | 16.3 | 43.4 |
| AA Math Index | 36.1 | 67.5 |
| GPQA | 37.1 | 66.5 |
| HLE | 4.5 | 4.6 |
| LiveCodeBench | 21.7 | 45.7 |
| MATH-500 | 68.9 | 91.3 |
| MMLU | _ | 90.2 |
| MMLU-Pro | 57.8 | 80.6 |
| MMMU | 53.7 | 74.8 |
| SciCode | 22.9 | 38.1 |
gemini-1.5-flash-8b Advantages
- • Lower input token cost ($0.04 / 1M tokens vs $2 / 1M tokens)
gpt-4.1 Advantages
- • Higher benchmark scores (56.8 vs 28.4)
- • Larger context window (1047576 tokens vs 1M tokens)