Text and chat AI models: the 228 that write and converse
| # | AI model | Capabilities | API $/1M (in / out) | Context window | Price / mo | Output $/1M | Overview | Visit site |
|---|---|---|---|---|---|---|---|---|
| 221 | Aion 3.5 Mini Aion Labs | $0.7 / $1.4 | 256K tokens | API only | 1.4 | View | ||
| 222 | Solar Mini 4 Upstage | $0.1 / $0.4 | 512K tokens | API only | 0.4 | View | ||
| 223 | Perceptron Mk1.5 Perceptron | $0.15 / $1.5 | 36.9K tokens | API only | 1.5 | View | ||
| 224 | Ling 3.0 Flash VL InclusionAI | $0.02 / $0.059 | 256K tokens | API only | 0.059 | View | ||
| 225 | Pareto Unbiased | $0.8 / $3.2 | API only | 3.2 | View | |||
| 226 | Ternary Bonsai 2 27B PrismML | 262.1K tokens | API only | View | ||||
| 227 | Schematron V2 Turbo Inference.net | $0.03 / $0.15 | 125K tokens | API only | 0.15 | View | ||
| 228 | Schematron V2 Small Inference.net | $0.05 / $0.23 | 125K tokens | API only | 0.23 | View |
Browse by need
Text generation is the baseline every language model shares, which is why 228 of the 239 models in this rating qualify - and why price, not capability, is usually what decides. Output rates span two orders of magnitude: $0.25 per million tokens at the budget end, $50 at the frontier with Claude Fable 5.1 and GPT-6 Astra.
For ordinary writing, summarising and conversation, the mid tier is where the value sits. Claude Sonnet 5 at $10 and GPT-5.6 Terra at $12 handle most professional work, and Gemini 3.8 Flash does it for $3.75 while promotional pricing lasts. Reserve the frontier models for work where a wrong answer is expensive.
Models with this capability
The 228 models below all support this capability. Prices are input and output per 1M tokens from the vendor official price list; for dirhams multiply by 3.6725. Tap a card to open the model page.
How to choose
- Decide whether you need reasoning at all — plain chat models answer faster and cheaper.
- Match the context window to your longest realistic input, not to the largest number on offer.
- Check whether the vendor offers batch and caching; both change the economics more than the headline rate.
- If you serve non-English users, test tokenisation cost on real text before committing.
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