Yi Model vs Qwen vs DeepSeek vs Llama

A side-by-side look at scores, pricing and features — with RECATOOLS' ASEAN-aware verdict for each.

Yi Model 01.AI's open bilingual models, frozen since 2024; the paid API closed... Visit Qwen Alibaba Cloud's LLM family, open weights through to the Qwen3.8-Max fl... Visit DeepSeek Hangzhou lab shipping MIT-licensed V4 models and a very cheap API Visit Llama Meta's downloadable LLM family, last updated with Llama 4 in April 202... Visit
RECATOOLS Score 6.8 / 10 8.6 / 10 8.2 / 10 8.3 / 10
Capability 7 9 9 8
Value for money 7.5 9 10 9
Ease of use 6 7 7 5
ASEAN readiness 5 8 5 7
API quality 6.5 8 8 7
Pricing Open Source Freemium Open Source Open Source
Free tier Yi-6B, Yi-34B, Yi-1.5 and Yi-Coder weights free under Apache 2.0; the paid Yi API closed on 3 September 2026 Open weights to self-host; free Qwen Chat; 1M free tokens per model for 90 days in Model Studio's Singapore region Free chat on the web and in the app; MIT-licensed open weights to self-host Free weight downloads (Llama 2, 3.x and 4) under Meta's Llama community licences, after accepting the licence
Paid from — From $0.03 per million input tokens (qwen3.7-flash, prompts up to 32K, Singapore region) $0.15 per 1M input tokens (deepseek-flash, cache miss, off-peak); $0.30 at peak —
Has API ✓ ✓ ✓ ✓
Open source ✓ ✓ ✓ ✓
Free to use ✓ ✓ ✓ ✓
Users 500k+ downloads Consumer app ~203M MAU (April 2026), #3 globally ~130M monthly active users (late 2025) 10m+ downloads
Founded 2023 2023 2023 2023
Maker 01.AI (零一万物) Alibaba Cloud High-Flyer Meta Platforms
Verdict

Yi is now a finished product line. The open weights, from Yi-6B to Yi-1.5 and Yi-Coder, remain free under Apache 2.0 and are still a usable bilingual Chinese-English base, especially for teams that already deployed them....

Qwen is the most practical open-weight family to build on in 2026: Apache 2.0 models from under a billion to hundreds of billions of parameters, and now even the Max-tier flagship available to download. Hosted pricing in...

DeepSeek remains the price benchmark for capable models: V4.1-Flash costs $0.15 to $0.30 per million input tokens and V4-Pro under $4 per million output at peak, both with 1M-token context, and the weights are MIT-licens...

Llama 2 and 3 made Meta's family the default starting point for self-hosted and fine-tuned models, and the weights from Llama 2 through Llama 4 remain free to download from Hugging Face and Kaggle. Llama 4 Scout and Mave...

Full review → Full review → Full review → Full review →
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Comparisons cover up to 4 tools. Scores are RECATOOLS editorial assessments; verify current pricing on each vendor's site.