Cohere vs Liquid AI

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

Cohere Enterprise and sovereign AI — RAG-grade models, on-prem deployment Visit Liquid AI Non-Transformer AI models built for efficient on-device inference Visit
RECATOOLS Score 7.8 / 10 7.8 / 10
Capability 8 8.5
Value for money 7 8
Ease of use 7 6.5
ASEAN readiness 7 5.5
API quality 9 7
Pricing Paid Freemium
Free tier Trial API key: 1,000 free API calls per month across all endpoints (non-commercial use only); Chat endpoints rate-limited to 20 req/min; text Embed rate-limited to 2,000 inputs/min. Free weights via Hugging Face; Playground access; LEAP SDK; Liquid Apollo app
Paid from Pay-as-you-go — Command A+ pricing on request; prior Command R from $0.15/1M in Custom enterprise pricing (contact sales); some models served via OpenRouter
Has API
Open source
Free to use
Users Over 17,000 active enterprise customers as of mid-2026, with $240M in annual recurring revenue. Early enterprise and developer adoption; customer base not publicly disclosed
Founded 2019 2023
Maker Aidan Gomez, Nick Frosst, Ivan Zhang Liquid AI (independent)
Verdict

Cohere's pitch is deployment control, not frontier benchmarks. Embed and Rerank remain among the strongest retrieval models for RAG and enterprise search, and the Command line was refreshed in May 2026 with Command A+, a...

Liquid AI's bet is architectural: skip Transformers, build on liquid neural networks instead, and win on efficiency rather than raw scale. The numbers back it up so far — LFM2 claims 200% higher CPU throughput than Qwen3...

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