Liquid AI vs Cohere vs Mistral AI vs Ollama
A side-by-side look at scores, pricing and features — with RECATOOLS' ASEAN-aware verdict for each.
Liquid AI
Non-Transformer AI models built for efficient on-device inference
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Cohere
Enterprise and sovereign AI — RAG-grade models, on-prem deployment
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Mistral AI
European frontier-model lab
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Ollama
Run open-weights LLMs locally on your own machine
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| RECATOOLS Score | 7.8 / 10 | 7.8 / 10 | 8.4 / 10 | 8.8 / 10 |
| Capability | ||||
| Value for money | ||||
| Ease of use | ||||
| ASEAN readiness | ||||
| API quality | ||||
| Pricing | Freemium | Paid | Freemium | Open Source |
| Free tier | Free weights via Hugging Face; Playground access; LEAP SDK; Liquid Apollo app | 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 open-weight models for self-hosting | — |
| Paid from | Custom enterprise pricing (contact sales); some models served via OpenRouter | Pay-as-you-go — Command A+ pricing on request; prior Command R from $0.15/1M in | $0.14/1M tokens (Mistral Small via API) | — |
| Has API | ✓ | ✓ | ✓ | ✓ |
| Open source | ✗ | ✗ | ✓ | ✓ |
| Free to use | ✓ | ✗ | ✓ | ✓ |
| Users | Early enterprise and developer adoption; customer base not publicly disclosed | Over 17,000 active enterprise customers as of mid-2026, with $240M in annual recurring revenue. | 500k+ API users | — |
| Founded | 2023 | 2019 | 2023 | 2023 |
| Maker | Liquid AI (independent) | Aidan Gomez, Nick Frosst, Ivan Zhang | Arthur Mensch, Guillaume Lample, Timothee Lacroix | — |
| Verdict | 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... |
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... |
Mistral is the strongest European alternative to the US labs, and its open-weight releases are the reason: Mistral Large 3 (December 2025) ships as a 675B-parameter MoE under Apache 2.0 with a 256K context window, Medium... |
Ollama is the de facto easiest way to run open-weight LLMs locally — a single command pulls and serves models like Llama, Mistral, Qwen and Gemma, with an OpenAI-compatible API and growing GUI. It has become foundational... |
| Full review → | Full review → | Full review → | Full review → |
Comparisons cover up to 4 tools. Scores are RECATOOLS editorial assessments; verify current pricing on each vendor's site.