Conditionally licensed reasoning models
34 in the catalogue today. Every one with what it costs, who sells it and where it stands.
Models that plan before they answer, spending extra tokens on working the problem through. They win on mathematics, hard code and anything with several steps, and they are measured on boards like GPQA, AIME and ARC-AGI. The catch is what the thinking costs: reasoning is billed as output tokens, so the same model can cost several times more per answer at a high effort than a low one, and for a question that needed one turn you have paid for a monologue.
Weights you can download, under a licence that asks for something in return: an acceptable-use policy, a naming requirement, a revenue ceiling above which you must ask, a restriction on training other models. The Llama and Gemma families are the familiar cases. Read the actual licence before you build on one of these — the condition is usually easy to meet and occasionally fatal, and which it is depends on your product rather than on the model.
- Gemma 2 27BGoogle50th of 217· 8 boards$0.27→$0.27per Mtok in / out4 selling
- Gemma 3 12BGoogle7th of 105· 12 boards$0.05→$0.15per Mtok in / out9 selling
- Gemma 3 27BGoogle34th of 105· 19 boards$0.08→$0.45per Mtok in / out11 selling
- Gemma 3 4BGoogle28th of 105· 9 boards$0.04→$0.08per Mtok in / out6 selling
- Kimi K2 ThinkingMoonshot AI13th of 61· 13 boards$0.47→$2per Mtok in / out15 selling
- Kimi K2.5Moonshot AI17th of 262· 50 boards$0.6→$3per Mtok in / out21 selling
- Kimi K2.6Moonshot AI27th of 290· 55 boards$0.95→$4per Mtok in / out25 selling
- Kimi K2.7 CodeMoonshot AI33rd of 290· 40 boards$0.95→$4per Mtok in / out19 selling
- Kimi K3Moonshot AI1st of 156· 55 boards$3→$15per Mtok in / out19 selling
- LFM2.5-1.2B-ThinkingLiquid AI284th of 302
- Llama 3.1 8B InstructMeta18th of 170· 16 boards$0.05→$0.08per Mtok in / out20 selling
- Llama 3.2 1B InstructMeta203rd of 222· 5 boards$0.01→$0.02per Mtok in / out11 selling
- Llama 3.3 70B InstructMeta8th of 217· 17 boards$0.2→$0.6per Mtok in / out29 selling
- Llama 4 Maverick 17BMeta39th of 105· 19 boards$0.19→$0.65per Mtok in / out16 selling
- Llama-2-70b-chat-hfMeta604th of 656· 5 boards$0.64→$0.8per Mtok in / out1 selling
- Llama-3.2-90B-Vision-Instruct26th of 217· 7 boards$2→$2per Mtok in / out7 selling
- Llama-4-Maverick-17B-128E-InstructMeta Llama109th of 161· 14 boards$0.15→$0.6per Mtok in / out5 selling
- Meta-Llama-3-70B-InstructMeta32nd of 217· 7 boards$0.51→$0.74per Mtok in / out6 selling
- Meta-Llama-3.1-405B-InstructMeta14th of 217· 12 boards$3.5→$3.5per Mtok in / out9 selling
- Meta-Llama-3.1-70B-InstructMeta27th of 217· 10 boards$0.4→$0.4per Mtok in / out7 selling
- MiniMax M2.1MiniMax6th of 262· 15 boards$0.3→$1.2per Mtok in / out11 selling
- MiniMax M2.5MiniMax3rd of 47· 25 boards$0.3→$1.2per Mtok in / out19 selling
- MiniMax M3MiniMax11th of 110· 39 boards$0.3→$1.2per Mtok in / out14 selling
- Nemotron 3 SuperNVIDIA155th of 302· 8 boards$0.08→$0.45per Mtok in / out7 selling
- Nemotron 3 UltraNVIDIA33rd of 161· 24 boards$0.5→$2.2per Mtok in / out13 selling
- Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16NVIDIA
- Qwen 3.8 MaxAlibaba1st of 28· 24 boards$1.65→$4.95per Mtok in / out9 selling
- Qwen1.5-72B-ChatAlibaba293rd of 313$0.9→$0.9per Mtok in / out1 selling
- Qwen2-72B-InstructAlibaba21st of 217· 7 boards$0.35→$0.4per Mtok in / out3 selling
- Qwen2.5 72B InstructAlibaba10th of 217· 14 boards$0.36→$0.4per Mtok in / out12 selling
- Qwen3 Omni 30B A3B ThinkingAlibaba$1.8→$6.9per Mtok in / out2 selling
- Trinity Large ThinkingArcee AI183rd of 302· 15 boards$0.25→$0.8per Mtok in / out4 selling
- deepseek-llm-67b-chatdeepseek-ai103rd of 108· 4 boards
- gemma-2-9b-itGoogle64th of 217· 6 boards$0.12→$0.15per Mtok in / out3 selling