Free open-weight model APIs
Open-weight models you can call for free via API and, when needed, run on your own hardware without vendor lock-in.
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Open weights means the parameters are published, but licenses differ: Llama and Gemma have their own terms, while DeepSeek, Qwen, and gpt-oss are more permissive. Check the license before commercial use.
| # | Model ↕ | AA Index ↕ | GPQA ↕ | Context ↕ | Size ↕ | Free at ↕ | |
|---|---|---|---|---|---|---|---|
| 1 | 41.8 | 91% | 1M | Mid-size | |||
| 2 | 44.8 | 92% | 1M | Frontier | |||
| 3 | 39.5 | — | 1M | Frontier | |||
| 4 | 41.8 | 91% | 1M | Mid-size | |||
| 5 | 33.7 | 91% | 262K | Mid-size | |||
| 6 | 34.3 | 91% | 1M | Frontier | |||
| 7 | 33.7 | 90% | 1M | Frontier | |||
| 8 | 27.8 | 90% | 1M | Small | |||
| 9 | 27.0 | 91% | 256K | Frontier | |||
| 10 | 22.9 | 87% | 1M | Frontier | |||
| 11 | 25.0 | 87% | 1M | Small | |||
| 12 | 25.3 | 90% | 256K | Small | |||
| 13 | 19.0 | 86% | 262K | Mid-size | |||
| 14 | 22.8 | 85% | 205K | Frontier | |||
| 15 | 21.4 | 86% | 262K | Frontier | |||
| 16 | 21.4 | 84% | 262K | Mid-size | |||
| 17 | 16.7 | 79% | 262K | Mid-size | |||
| 18 | 22.2 | 86% | 203K | Frontier | |||
| 19 | 18.2 | 84% | 262K | Mid-size | |||
| 20 | 19.5 | 81% | 262K | Frontier | |||
| 21 | 19.3 | 85% | 262K | Mid-size | |||
| 22 | 12.9 | 74% | 1M | Mid-size | |||
| 23 | 17.7 | 83% | 262K | Frontier | |||
| 24 | 18.6 | 78% | 197K | Frontier | |||
| 25 | 14.2 | 75% | 262K | Mid-size | |||
| 26 | 14.9 | 58% | 131K | Mid-size | |||
| 27 | 13.7 | 81% | 262K | Small | |||
| 28 | — | — | 1M | Frontier | |||
| 29 | — | — | 1M | Frontier | |||
| 30 | 10.3 | 47% | 262K | Mid-size | |||
| 31 | 12.8 | 80% | 262K | Frontier | |||
| 32 | — | — | 256K | Frontier | |||
| 33 | — | — | 262K | Frontier | |||
| 34 | 11.6 | 78% | 131K | Frontier | |||
| 35 | 10.0 | 61% | 131K | Mid-size | |||
| 36 | 13.4 | 77% | 262K | Frontier | |||
| 37 | 13.1 | 77% | 262K | Small | |||
| 38 | — | — | 1M | Mid-size | |||
| 39 | — | — | 131K | Frontier | |||
| 40 | — | — | 131K | Frontier | |||
| 41 | — | — | 203K | Frontier | |||
| 42 | — | — | 203K | Frontier | |||
| 43 | — | — | 8K | Frontier | |||
| 44 | — | — | 131K | Frontier | |||
| 45 | — | — | 24K | Frontier | |||
| 46 | — | — | — | Frontier | |||
| 47 | — | — | — | Frontier | |||
| 48 | — | — | 25K | Frontier | |||
| 49 | — | — | 32K | Frontier | |||
| 50 | 12.8 | 80% | 262K | Frontier | |||
| 51 | 11.7 | 70% | 1M | Frontier | |||
| 52 | 12.7 | 79% | 262K | Frontier | |||
| 53 | — | — | 131K | Mid-size | |||
| 54 | 8.1 | 59% | 10.5M | Frontier | |||
| 55 | 12.5 | 70% | 131K | Small | |||
| 56 | 9.9 | 76% | 262K | Small | |||
| 57 | 9.8 | 71% | 262K | Mid-size | |||
| 58 | 11.2 | 76% | 262K | Frontier | |||
| 59 | 10.0 | 68% | 1M | Frontier | |||
| 60 | 9.5 | 59% | 24K | Mid-size | |||
| 61 | — | — | 1M | Mid-size | |||
| 62 | — | — | 1M | Mid-size | |||
| 63 | 8.9 | 76% | 1M | Mid-size | |||
| 64 | 9.6 | 52% | 262K | Frontier | |||
| 65 | 9.5 | 67% | 262K | Mid-size | |||
| 66 | — | — | 262K | Mid-size | |||
| 67 | — | — | 262K | Mid-size | |||
| 68 | — | — | 262K | Mid-size | |||
| 69 | — | — | 262K | Mid-size | |||
| 70 | — | — | 262K | Mid-size | |||
| 71 | — | — | 262K | Mid-size | |||
| 72 | — | — | 262K | Mid-size | |||
| 73 | 8.4 | 56% | 128K | Small | |||
| 74 | 5.4 | 22% | 131K | Mid-size | |||
| 75 | 6.9 | 26% | 128K | Small | |||
| 76 | 8.9 | 76% | 262K | Mid-size | |||
| 77 | 8.4 | 62% | 80K | Mid-size | |||
| 78 | 8.8 | 67% | 262K | Small | |||
| 79 | 7.7 | 50% | 131K | Frontier | |||
| 80 | — | — | 16K | Mid-size | |||
| 81 | — | — | 131K | Mid-size | |||
| 82 | — | — | 131K | Mid-size | |||
| 83 | — | — | 131K | Mid-size | |||
| 84 | — | — | 131K | Mid-size | |||
| 85 | — | — | 8K | Mid-size | |||
| 86 | — | — | 128K | Mid-size | |||
| 87 | — | — | 128K | Mid-size | |||
| 88 | — | — | — | Mid-size | |||
| 89 | — | — | 131K | Mid-size | |||
| 90 | — | — | 128K | Mid-size | |||
| 91 | — | — | 33K | Mid-size | |||
| 92 | — | — | 25K | Mid-size | |||
| 93 | 8.9 | 64% | 16K | Mid-size | |||
| 94 | 8.9 | 58% | 131K | Small | |||
| 95 | 8.7 | 43% | 131K | Mid-size | |||
| 96 | 8.6 | 66% | 41K | Mid-size | |||
| 97 | 8.6 | 67% | 41K | Mid-size | |||
| 98 | 5.8 | 38% | 262K | Mid-size | |||
| 99 | 8.2 | 60% | 2K | Mid-size | |||
| 100 | 6.7 | 42% | 33K | Mid-size | |||
| 101 | 8.2 | 51% | 128K | Mid-size | |||
| 102 | 6.4 | 43% | 16K | Frontier | |||
| 103 | 6.9 | 46% | 262K | Small | |||
| 104 | 7.9 | 40% | 131K | Frontier | |||
| 105 | 7.8 | 43% | 131K | Small | |||
| 106 | 7.7 | 49% | 131K | Frontier | |||
| 107 | 7.6 | 68% | 66K | Frontier | |||
| 108 | 7.5 | 73% | 128K | Frontier | |||
| 109 | 7.3 | 52% | 131K | Frontier | |||
| 110 | 7.3 | 59% | 41K | Small | |||
| 111 | 6.9 | 47% | 131K | Mid-size | |||
| 112 | 6.6 | 41% | 16K | Frontier | |||
| 113 | 4.8 | 29% | 66K | Small | |||
| 114 | 4.8 | 20% | 131K | Small | |||
| 115 | 5.7 | 26% | 80K | Small | |||
| 116 | 5.6 | 24% | 4K | Small | |||
| 117 |
Sarvam M
Open weights
|
5.3 | 42% | 33K | Small | ||
| 118 | 5.2 | 36% | 41K | Small | |||
| 119 | 5.1 | 22% | 33K | Small | |||
| 120 | 5.1 | 34% | 131K | Small | |||
| 121 | — | — | 131K | Small | |||
| 122 | — | — | 131K | Small | |||
| 123 | — | — | 33K | Small | |||
| 124 | — | — | 131K | Small | |||
| 125 | — | — | 131K | Small | |||
| 126 | — | — | 131K | Small | |||
| 127 | — | — | 131K | Small | |||
| 128 | — | — | 4K | Small | |||
| 129 | — | — | 8K | Small | |||
| 130 | — | — | 33K | Small | |||
| 131 | 4.9 | 43% | 66K | Mid-size | |||
| 132 | 4.8 | 24% | 33K | Small | |||
| 133 | 4.8 | 23% | 41K | Small | |||
| 134 | 3.8 | 35% | 128K | Mid-size | |||
| 135 | — | — | 128K | Mid-size | |||
| 136 | — | — | 131K | Mid-size |
Benchmarks: Artificial Analysis (September 24, 2026). A dash means the model is not on their leaderboard; we never estimate scores ourselves.
FAQ
Which open-weight models are free right now?
136 models are free right now. Leaders by the Artificial Analysis index: GLM 5.3 Flash, GLM 5.3, DeepSeek V4.1 Flash, GLM 5.3 Flash Thinking, Qwen 3.8 27B, DeepSeek V4 Flash.
Where can I use GLM 5.3 Flash for free?
GLM 5.3 Flash is free at OrcaRouter, NVIDIA Build, UnoRouter, OpenCode Zen. Each provider is OpenAI-compatible — just switch the base URL and key.
What are the limits of free access?
Open weights means the parameters are published, but licenses differ: Llama and Gemma have their own terms, while DeepSeek, Qwen, and gpt-oss are more permissive. Check the license before commercial use.