Modelos LLM
20 modelos
| # | Modelo ↕ | Proveedor ↕ | Puntuación ↕? | Contexto ↕? | Velocidad ↕? | MMLU ↕? | GPQA ↕? | HumanEval ↕? | SWE-B ↕? | Entrada $/1M ↕? | Salida $/1M ↕? | ⭐ Top ↑? | OSS ↕? | Lanzado ↕? |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Anthropic | - | 1M | - | - | - | - | - | $10.00 | $50.00 | ★5.0(2) | - | jun 2026 | |
2 | Anthropic | - | 1M | - | - | - | - | - | $10.00 | $50.00 | - | - | jun 2026 | |
3 | Anthropic | - | 1M | - | - | - | - | - | $5.00 | $25.00 | - | - | may 2026 | |
4 | Anthropic | - | 1M | - | - | - | - | - | $10.00 | $50.00 | - | - | may 2026 | |
5 | Anthropic | - | 1M | - | - | - | - | - | $30.00 | $150.00 | - | - | may 2026 | |
6 | Anthropic | - | 200K | - | - | - | - | - | $1.00 | $5.00 | - | - | abr 2026 | |
7 | Anthropic | - | 1M | - | - | - | - | - | $3.00 | $15.00 | - | - | abr 2026 | |
8 | Anthropic | - | 1M | - | - | - | - | - | $5.00 | $25.00 | - | - | abr 2026 | |
9 | Anthropic | 82 | 200K | 50 | 90.1 | 74.3 | 92.1 | 72.5 | $5.00 | $25.00 | - | - | abr 2026 | |
10 | Anthropic | - | 1M | - | - | - | - | - | $30.00 | $150.00 | - | - | abr 2026 | |
11 | Anthropic | 74 | 200K | 85 | 88.3 | 65.0 | 92.0 | 57.0 | $3.00 | $15.00 | - | - | feb 2026 | |
12 | Anthropic | - | 1M | - | - | - | - | - | $5.00 | $25.00 | - | - | feb 2026 | |
13 | Anthropic | - | 200K | - | - | - | - | - | $5.00 | $25.00 | - | - | nov 2025 | |
14 | Anthropic | 60 | 200K | 200 | 82.9 | 43.0 | 88.3 | 33.2 | $1.00 | $5.00 | - | - | oct 2025 | |
15 | Anthropic | - | 1M | - | - | - | - | - | $3.00 | $15.00 | - | - | sept 2025 | |
16 | Anthropic | - | 200K | - | - | - | - | 74.5 | $15.00 | $75.00 | - | - | ago 2025 | |
17 | Anthropic | - | 1M | - | - | - | - | - | $3.00 | $15.00 | - | - | may 2025 | |
18 | Anthropic | - | 200K | - | - | - | - | - | $15.00 | $75.00 | - | - | may 2025 | |
19 | Anthropic | - | 200K | - | - | - | - | - | $0.800 | $4.00 | - | - | nov 2024 | |
20 | Anthropic | - | 200K | - | - | - | - | - | $0.250 | $1.25 | - | - | mar 2024 |
Puntuación = MMLU×20% + GPQA×30% + HumanEval×25% + SWE-Bench×25%⭐ Top - valoración media de usuarios TECHAGENTtok/s - tokens de salida/seg vía API
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