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
101

Nova Premier

Amazon
Text & chatVisionVideo
API onlyView
102

Nova Pro

Amazon
Text & chatVisionVideo
300K tokensAPI onlyView
103

Nova Lite

Amazon
Text & chatVisionVideo
300K tokensAPI onlyView
104

Nova Micro

Amazon
Text & chatLow latencyMultilingual
128K tokensAPI onlyView
105

Nova 2 Sonic

Amazon
Text & chatAudioRealtime voice
API onlyView
106

Nova Sonic

Amazon
Text & chatAudioRealtime voice
API onlyView
107

Phi-4 Mini Instruct

Microsoft
Text & chatReasoningTool calling
$0.075 / $0.30131.1K tokensAPI only0.3View
108

Phi-4 Reasoning

Microsoft
Text & chatReasoningTool calling
32.8K tokensAPI onlyView
109

Phi-4 Mini Reasoning

Microsoft
Text & chatReasoningTool calling
128K tokensAPI onlyView
110

Qwen3.8 Max

Alibaba
Text & chatReasoningAdjustable thinking
$2 / $61M tokensAPI only6View
111

Qwen3 VL Plus

Alibaba
Text & chatVisionReasoning
$0.2 / $1.6256K tokensAPI only1.6View
112

Qwen3 VL Flash

Alibaba
Text & chatVisionReasoning
$0.05 / $0.4256K tokensAPI only0.4View
113

ERNIE 5.1

Baidu
Text & chatReasoningTool calling
$0.56 / $2.53API only2.53View
114

ERNIE 5.0

Baidu
Text & chatVisionReasoning
$1.4 / $5.6119K tokensAPI only5.6View
115

ERNIE 4.5 Turbo VL

Baidu
Text & chatVisionReasoning
128K tokensAPI onlyView
116

Tencent HY Vision 1.5 Instruct

Tencent
Text & chatVisionMultilingual
API onlyView
117

Doubao Seed Evolving

ByteDance
Text & chatReasoningTool calling
API onlyView
118

Doubao Seed 2.1 Turbo

ByteDance
Text & chatReasoningTool calling
API onlyView
119

Doubao Seed 2.0 Code

ByteDance
Text & chatVisionCoding
API onlyView
120

Doubao Seed 2.0 Lite

ByteDance
Text & chatVisionReasoning
API onlyView

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.

Frequently searched

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