298 models in catalog
AI models
Every model we track — frontier flagships, open-weights specialists, narrow benchmarks-only releases. Filter by lab, country, access, modality, or release window. Sorted by newest by default; head to the leaderboard for the ranked view.
Leaderboard →Labs →Benchmarks →
Updated May 29, 2026 · Benchmarks via Artificial Analysis, specs & pricing via OpenRouter · Methodology · Spotted an error?
| Rank | Model | General idx ↓ | Multi-IF | LiveBench | Arena Hard | Humanity’s Last Exam | IFEval | SimpleQA | MMLU-Pro | MMLU | Released | Country | Type | Access | Params | Cutoff | Context | Speed | Latency | In $/M | Out $/M |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| #101 | 77.7 | — | — | — | 6.8 | — | — | 77.7 | — | 2025 | — | llm | — | — | — | — | 122 | 1.25 | $0.20 | $0.40 | |
| #102 | 77.6 | — | — | — | 3.5 | — | — | 77.6 | — | 2025 | — | llm | Open weights | — | 2025 | 131K | 24 | 1.53 | $0.28 | $1.10 | |
| #103 | 77.4 | — | — | — | 4.3 | — | — | 77.4 | — | 2025 | — | llm | Open weights | — | 2025 | 132K | 62 | 1.01 | $0.10 | $0.24 | |
| #104 | ServiceNow | 77.3 | — | — | — | 12 | — | — | 77.3 | — | 2025 | — | llm | — | — | — | — | — | — | $0.00 | $0.00 |
| #105 | 77 | — | — | — | 4.6 | 87.5 | — | 66.4 | 83.6 | 2024 | — | llm | Open weights | — | 2023 | 131K | 1204 | 0.20 | $0.40 | $0.40 | |
| #106 | 76.8 | — | — | — | 6.1 | — | — | 76.8 | — | 2025 | — | llm | — | — | — | — | 106 | 0.38 | $0.50 | $1.50 | |
| #107 | 76.4 | 67 | — | — | 3.7 | 84.1 | — | 78.1 | 87.5 | 2025 | — | multimodal | API only | — | 2024 | 1M | 150 | 5.00 | $0.40 | $1.60 | |
| #108 | 76.4 | — | — | — | 5.3 | — | — | 76.4 | 87 | 2024 | — | multimodal | API only | — | 2024 | 1M | 183 | 0.40 | $0.10 | $0.40 | |
| #109 | 76.4 | — | — | — | 6.4 | — | — | 76.4 | — | 2025 | — | multimodal | Open weights | — | 2025 | 262K | 123 | 0.98 | $0.13 | $0.52 | |
| #110 | 76.3 | — | — | — | 6 | — | — | 76.3 | — | 2025 | — | llm | — | — | — | — | — | — | $0.00 | $0.00 | |
| #111 | 76.2 | — | — | — | 3.6 | — | — | 76.2 | — | 2025 | — | llm | Open weights | — | — | 262K | 51 | 0.64 | $0.40 | $2.00 | |
| #112 | 76 | — | — | — | 4.3 | — | — | 76 | — | 2025 | — | multimodal | API only | — | 2025 | 131K | 32 | 0.56 | $0.40 | $2.00 | |
| #113 | 75.9 | 77.5 | — | — | 10.6 | 88.7 | 54.3 | 83 | — | 2025 | — | llm | Open weights | 235000000000 | — | 131K | 63 | 1.18 | $0.15 | $0.80 | |
| #114 | 75.9 | — | — | — | 5.3 | — | — | 75.9 | — | 2025 | — | llm | — | — | — | — | 244 | 0.74 | $0.20 | $0.60 | |
| #115 | 75.9 | — | — | — | 5.9 | — | — | 75.9 | — | 2025 | — | llm | Open weights | — | — | 66K | — | — | $0.15 | $0.50 | |
| #116 | 75.3 | — | — | — | 9.5 | — | — | 75.3 | — | 2025 | — | llm | — | — | — | — | — | — | $0.00 | $0.00 | |
| #117 | 74.9 | — | — | — | 3.3 | — | — | 74.9 | — | 2025 | — | llm | — | — | — | — | 120 | 1.15 | $0.20 | $2.10 | |
| #118 | 74.8 | — | — | — | 17.3 | — | — | 74.8 | 85.3 | 2025 | — | llm | Open weights | 21B (3.6B active) | 2024 | 131K | 1000 | 0.38 | $0.03 | $0.14 | |
| #119 | 74.6 | — | — | — | 7.2 | — | — | 74.6 | — | 2025 | — | llm | — | — | — | — | — | — | $0.00 | $0.00 | |
| #120 |  Amazon | 74.4 | — | — | — | 4.6 | 89.7 | — | 59 | 80.5 | 2024 | — | multimodal | API only | — | — | 300K | 100 | 0.50 | $0.06 | $0.24 |
| #121 | 74.3 | — | — | — | 5.9 | — | — | 74.3 | — | 2025 | — | llm | — | — | — | — | — | — | $0.00 | $0.00 | |
| #122 | 74.3 | — | — | — | 4.3 | — | — | 74.3 | 79.6 | 2025 | — | multimodal | Open weights | 109B total / 17B active (MoE) | 2024 | 10M | 776 | 0.31 | $0.08 | $0.30 | |
| #123 | 74.3 | — | — | — | 4.2 | — | — | 74.3 | — | 2025 | — | llm | Open weights | — | 2025 | 131K | 69 | 1.29 | $0.05 | $0.40 | |
| #124 | 74.2 | — | — | — | 4.6 | — | — | 74.2 | — | 2025 | — | llm | — | — | — | — | 129 | 0.26 | $0.00 | $0.20 | |
| #125 | 73.9 | — | — | — | 5.6 | — | — | 73.9 | — | 2025 | — | llm | — | — | — | — | — | — | $0.00 | $0.00 |
Ranked on General. Cell colors show relative standing within each column (red → yellow → green). Scores are curated approximations — see each model for sources.