Best Open AI Models
Frontier open-weights foundation models evaluated on architecture, permissive licensing (MIT, Apache 2.0, Llama), and parameter scaling.
Top Open-Weights Models
Models with downloadable weights and verifiable benchmark results.
DeepSeek-R1
Open-weights frontier reasoning model trained via large-scale reinforcement learning without supervised cold start.
64k tokens
671B (37B active)
$0.55 / $2.19 / MTok
Codestral 2501
Mistral AI's dedicated code generation model with 256k context window and fill-in-the-middle (FIM) capabilities.
256k tokens
22B
$0.30 / $0.90 / MTok
DeepSeek-V3
Frontier open-weights 671B MoE base and chat model with multi-head latent attention (MLA) and dual-pipe training.
64k tokens
671B (37B active)
$0.14 / $0.28 / MTok
Llama 3.3 70B Instruct
Meta's open-weights 70B flagship matching Llama 3.1 405B capabilities on industry benchmarks at 1/5th the compute.
128k tokens
70B
$0.12 / $0.30 / MTok
Qwen 2.5 Coder 32B Instruct
Alibaba's open-weights code generation specialist matching GPT-4o on coding benchmarks while fitting on a single GPU.
128k tokens
32.5B
$0.00 / $0.00 / MTok
Qwen 2.5 72B Instruct
Alibaba's flagship open foundation model with world-class multilingual, mathematical, and coding capabilities.
128k tokens
72.7B
$0.00 / $0.00 / MTok
Mistral Large 2 (2407)
Mistral AI's flagship 123B model specialized in multilingual reasoning, precision code generation, and agentic tool use.
128k tokens
123B
$2.00 / $6.00 / MTok
Llama 3.1 405B Instruct
Meta's largest open foundation model with 405 billion dense parameters, rivaling leading closed frontier models.
128k tokens
405B
$1.79 / $1.79 / MTok
Open Weights FAQ
What is the difference between Open Source and Open Weights?
Open Weights means the neural network parameter files are publicly downloadable for inference and fine-tuning. Some models use OSI-approved licenses like MIT (DeepSeek) or Apache 2.0 (Qwen), while others use custom community licenses like Llama 3.3.
Can I use open-weights models commercially?
Yes. Models under Apache 2.0 and MIT licenses can be freely deployed for commercial software. Meta's Llama 3.3 license permits commercial use for products with fewer than 700 million monthly active users.
Data Accuracy & Verification Notice
AI model specifications, pricing records, and benchmark metrics published on this platform are compiled directly from authoritative sources (official provider documentation, research papers, and verified evaluation harnesses). Benchmark results reflect specific test harnesses and prompting methodologies; scores are not directly comparable across differing evaluation setups.