Model LLM
21 model
Data: OpenRouter dan sumber resmi · diperbarui harian · per 9/11/2026
| # | Model ↕ | Penyedia ↕ | Skor ↕? | Konteks ↕? | Kecepatan ↕? | MMLU ↕? | GPQA ↕? | HumanEval ↕? | SWE-B ↕? | Input $/1M ↕? | Output $/1M ↕? | ⭐ Top ↓? | OSS ↕? | Rilis ↕? |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | DeepSeek | - | 1M | - | - | - | - | - | $0.440 | $1.32 | - | - | Agu 2026 | |
2 | DeepSeek | - | 1M | - | - | - | - | - | $0.111 | $4.44 | - | - | Agu 2026 | |
3 | DeepSeek | - | 1M | - | - | - | - | - | $0.043 | $0.300 | - | - | Agu 2026 | |
4 | DeepSeek | - | 1M | - | - | - | - | - | $0.048 | $0.144 | - | - | Jul 2026 | |
5 | DeepSeek | - | 1M | - | - | - | - | - | $0.091 | $0.182 | - | - | Apr 2026 | |
6 | DeepSeek | - | 1M | - | - | - | - | - | $0.955 | $1.91 | - | - | Apr 2026 | |
7 | DeepSeek | - | 131K | - | - | - | - | - | $0.260 | $0.380 | - | - | Des 2025 | |
8 | DeepSeek | - | 164K | - | - | - | - | - | $0.270 | $0.410 | - | - | Sep 2025 | |
9 | DeepSeek | - | 164K | - | - | - | - | - | $0.270 | $1.00 | - | - | Sep 2025 | |
10 | DeepSeek | - | 164K | - | - | - | - | - | $0.250 | $0.950 | - | - | Agu 2025 | |
11 | DeepSeek | - | 164K | - | - | - | - | - | $0.500 | $2.15 | - | - | Mei 2025 | |
12 | DeepSeek | - | 164K | - | - | - | - | - | $0.290 | $1.14 | - | - | Mar 2025 | |
13 | DeepSeek | - | 128K | - | - | - | - | - | $0.290 | $0.290 | - | ✓ OSS | Jan 2025 | |
14 | DeepSeek | - | 131K | - | - | - | - | - | $0.800 | $0.800 | - | ✓ OSS | Jan 2025 | |
15 | DeepSeek | 75 | 64K | 30 | 90.8 | 71.5 | 92.6 | 49.2 | $0.700 | $2.50 | - | ✓ OSS | Jan 2025 | |
16 | DeepSeek | 68 | 64K | 45 | 88.5 | 59.1 | 89.4 | 42.0 | $0.320 | $0.890 | - | ✓ OSS | - | |
17 | DeepSeek | - | 1M | - | - | - | - | - | $0.011 | $0.200 | - | - | - | |
18 | DeepSeek | - | 1M | - | - | - | - | - | $0.011 | $0.200 | - | - | - | |
19 | DeepSeek | - | 1M | - | - | - | - | - | $0.100 | $8.00 | - | - | - | |
20 | DeepSeek | - | 1M | - | - | - | - | - | $0.006 | $0.500 | - | - | - | |
21 | DeepSeek | - | 164K | - | - | - | - | - | $0.287 | $0.431 | - | - | - |
Skor = MMLU×20% + GPQA×30% + HumanEval×25% + SWE-Bench×25%⭐ Top - rata-rata penilaian pengguna TECHAGENTtok/s - token output/detik via API
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