Text and chat AI models: the 228 that write and converse

Text & chat
Services found: 228
#AI modelCapabilitiesAPI $/1M (in / out)Context windowPrice / moOutput $/1MOverviewVisit site
41

MiMo-V2.5-Pro

Xiaomi
Text & chatReasoningTool calling
$0.435 / $0.871.05M tokensAPI only0.87View
42

Kimi K2.7 Code

Moonshot AI
Text & chatVisionCoding
$0.71 / $3.5262.1K tokensAPI only3.5View
43

Inkling Small

Thinkingmachines
Text & chatVisionAudio
$0.45 / $1.21.05M tokensAPI only1.2View
44

Qwen3.7 Plus

Qwen
Text & chatVisionReasoning
$0.32 / $1.281M tokensAPI only1.28View
45

Inkling

Thinkingmachines
Text & chatVisionAudio
$1.87 / $4.68²1.05M tokensAPI only4.68View
46

Grok 4.3

xAI
Text & chatVisionReasoning
$1.25 / $2.51M tokensAPI only2.5View
47

DeepSeek V4 Flash 0423

DeepSeek
Text & chatVisionReasoning
$0.088606 / $0.1772121.05M tokensAPI only0.177View
48

GPT-5.4 Mini

OpenAI
Text & chatVisionReasoning
$0.75 / $4.5400K tokensAPI only4.5View
49

Nemotron 3 Ultra

NVIDIA
Text & chatReasoningTool calling
$0.625 / $3.125262.1K tokensAPI only3.125View
50

MiniMax M2.7

MiniMax
Text & chatReasoningTool calling
$0.3 / $1.2204.8K tokensAPI only1.2View
51

Gemini 3.5 Flash-Lite

Google
Text & chatVisionAudio
$0.3 / $2.51.05M tokensAPI only2.5View
52

MiMo-V2.5

Xiaomi
Text & chatVisionAudio
$0.14 / $0.281.05M tokensAPI only0.28View
53

Qwen3.6 27B

Qwen
Text & chatVisionVideo
$0.3 / $2262.1K tokensAPI only2View
54

GPT-5.4 Nano

OpenAI
Text & chatVisionReasoning
$0.2 / $1.25400K tokensAPI only1.25View
55

Claude Sonnet 4.5

Anthropic
Text & chatVisionReasoning
$3 / $151M tokensAPI only15View
56

LongCat 2.0

Meituan
Text & chatLong context 1M+Multilingual
$0.75 / $2.951.05M tokensAPI only2.95View
57

Qwen3.5 397B A17B

Qwen
Text & chatVisionVideo
$0.55 / $3.5262.1K tokensAPI only3.5View
58

Claude Haiku 4.5

Anthropic
Text & chatVisionReasoning
$1 / $5200K tokensAPI only5View
59

Qwen3.5-122B-A10B

Qwen
Text & chatVisionVideo
$0.29 / $2.4262.1K tokensAPI only2.4View
60

Gemma 4 31B

Google
Text & chatVisionVideo
$0.09 / $0.34262.1K tokensAPI only0.34View

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.

Output is the billAnswers cost three to five times what prompts do, so length discipline beats model shopping.
Mid tier is the sweet spotSonnet 5 and GPT-5.6 Terra deliver most frontier quality at a fifth of the price.
Context is not freePasting long documents into every request is the most common source of surprise invoices.

Models with this capability

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.

Common mistakes

Paying frontier rates for routine repliesA support bot answering FAQs does not need a $50 model. Route by complexity instead.
Ignoring the free tiersGoogle, DeepSeek, Qwen and Mistral all let you validate quality before spending anything.

Who this suits

Product teamsStart on the mid tier, measure, then move up or down per feature.
High-volume operationsBudget models plus batch keep unit economics flat as traffic grows.
Solo usersA $20 subscription beats the API until you start automating.

Frequently asked questions

Which model is best for writing?

For long-form writing Claude Sonnet 5 at $10 per 1M output tokens is the usual pick, with GPT-5.6 Terra close behind. Frontier models write marginally better and cost five times more.

Do I need a reasoning model for chat?

Rarely. Reasoning adds hidden thinking tokens that bill as output, so a plain chat model answers faster and cheaper for everyday questions.

How many words is a million tokens?

Roughly 700,000 English words. Arabic and other non-Latin scripts consume more tokens for the same text.

Can I mix models in one product?

Yes, and most production systems do. A cheap model handles the common path, a stronger one takes over on low confidence.

How do I estimate monthly cost?

Multiply expected output tokens by the output rate, add input at its own rate, then halve it if the workload is batchable.

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