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Model Comparison
Model Comparison
Compare performance, benchmarks, and characteristics
llama-4-scout
groq
Context131072 tokens
Input Price$0.11 / 1M tokens
Output Price$0.34 / 1M tokens
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Model Comparison
| Metric |  |  |
|---|---|---|
Pricing | ||
| Input Price | $0.11 / 1M tokens | $2 / 1M tokens |
| Output Price | $0.34 / 1M tokens | $8 / 1M tokens |
Capabilities | ||
| Context Window | 131072 tokens | 1047576 tokens |
| Capabilities | tools | tools |
| Input type | text, image | text, image |
Category Scores | ||
| Overall Average | 38.9 | 52.2 |
| Academia | 43.0 | 54.9 |
| Finance | 21.1 | 39.0 |
| Marketing | 44.0 | 59.0 |
| Maths | 14.0 | 34.7 |
| Programming | 16.1 | 32.2 |
| Science | 59.6 | 66.1 |
| Vision | 69.4 | 74.8 |
| Writing | 44.1 | 56.6 |
Benchmark Tests | ||
| AIME | 28.3 | 43.7 |
| AA Coding Index | 16.1 | 32.2 |
| AAII | 28.1 | 43.4 |
| AA Math Index | 14.0 | 34.7 |
| GPQA | 57.9 | 66.5 |
| HLE | 4.3 | 4.6 |
| LiveCodeBench | 29.9 | 45.7 |
| MATH-500 | 84.4 | 91.3 |
| MMLU | 79.6 | 90.2 |
| MMLU-Pro | 74.8 | 80.6 |
| MMMU | 69.4 | 74.8 |
| SciCode | 17.0 | 38.1 |
llama-4-scout Advantages
- • Lower input token cost ($0.11 / 1M tokens vs $2 / 1M tokens)
gpt-4.1 Advantages
- • Higher benchmark scores (52.2 vs 38.9)
- • Larger context window (1047576 tokens vs 131072 tokens)