Open-weight models — Llama, DeepSeek, Qwen, GLM, Kimi, GPT-OSS, Gemma, and more — served through one API
| Features | |||||
|---|---|---|---|---|---|
| $0.07 | $0.34 | — | |||
| $0.30 | $0.91 | — | |||
| $0.99 | $1.49 | — | |||
| $0.14 | $0.40 | — | |||
| $0.10 | $0.30 | $0.01 | |||
| $0.13 | $0.38 | — | |||
| $0.10 | $0.50 | — | |||
| $0.17 | $0.55 | — | |||
| $0.03 | $0.14 | $0.03 | |||
| $0.15 | $0.60 | — | |||
| $0.15 | $0.60 | — | |||
| $0.10 | $0.50 | $0.02 | |||
| $0.35 | $0.75 | — | |||
| $0.15 | $0.75 | — |
Open-weight models have closed most of the gap with proprietary frontiers: DeepSeek V4, Qwen3.7, GLM-5, Kimi K2, and MiniMax M3 sit near the top of real-world leaderboards, joined by OpenAI's GPT-OSS and Google's Gemma releases. Their weights are public — but running a 200B+ parameter model yourself means serious GPU infrastructure.
This page lists open-weight models served by hosted providers, so you get the openness — inspectable weights, no lock-in, the option to self-host later — with API convenience. LLM Gateway itself is open source (AGPLv3) and self-hostable, so the whole stack can run on your terms.
DeepSeek V4, Qwen3.7, GLM-5.2, Kimi K2.6, and MiniMax M3 are the current leaders, each within striking distance of proprietary frontier models. For smaller, hardware-friendly options, GPT-OSS 20B, Gemma 4, and Qwen3.5 9B are the standouts.
Usually 'open weight': the trained weights are downloadable, but licenses vary — some are Apache 2.0 or MIT, others (like the Llama license) carry usage restrictions, and training data is rarely published. Check the license of a specific model before building on it.
Self-hosting pays off with steady high volume, strict data-residency needs, or fine-tuned weights. For everything else, per-token APIs are cheaper than idle GPUs. A middle path: develop against hosted open models and keep self-hosting as an exit option, since the weights are public.
Dramatically, per token. Competition among hosts drives prices down — DeepSeek V4 Flash and Qwen3 Coder 30B cost 10–50x less than frontier proprietary models. The list above shows every provider's price for each model.