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
121

Doubao Seed 2.0 Mini

ByteDance
Text & chatVisionReasoning
API onlyView
122

Doubao Seed Vision

ByteDance
Text & chatVisionReasoning
API onlyView
123

Hy3

Tencent
Text & chatMultilingualProprietary API
$0.132 / $0.528262.1K tokensAPI only0.528View
124

GLM 5.2

Z.ai
Text & chatReasoningTool calling
$0.966 / $3.0361.05M tokensAPI only3.036View
125

Solar Pro 4

Upstage
Text & chatReasoningTool calling
$0.30 / $1.20524.3K tokensAPI only1.2View
126

Laguna S 2.1

Poolside
Text & chatCodingLong context 1M+
$0.09 / $0.181.05M tokensAPI only0.18View
127

Ling 3.0 Flash Fin

InclusionAI
Text & chatVisionLow latency
$0.06 / $0.18262.1K tokensAPI only0.18View
128

DeepSeek V3.2

DeepSeek
Text & chatStructured JSON outputPrompt caching
$0.269 / $0.4163.8K tokensAPI only0.4View
129

Step 3.7 Flash

Stepfun
Text & chatVisionVideo
$0.2 / $1.15262.1K tokensAPI only1.15View
130

GPT-5.6 Luna Pro

OpenAI
Text & chatVisionReasoning
$0.2 / $1.21.05M tokensAPI only1.2View
131

Gemma 4 26B A4B

Google
Text & chatVisionVideo
$0.07 / $0.34262.1K tokensAPI only0.34View
132

Muse Spark 1.3

Meta
Text & chatVisionAudio
$1.25 / $4.251.05M tokensAPI only4.25View
133

Qwen3.7 Flash

Qwen
Text & chatVisionVideo
$0.03 / $0.131M tokensAPI only0.13View
134

Ling 3.0 Flash Sante

InclusionAI
Text & chatVisionLow latency
$0 / $0262.1K tokensAPI only0View
135

Qwen3.8 Flash

Qwen
Text & chatVisionVideo
$0.15 / $0.471M tokensAPI only0.47View
136

Kimi K2.6

Moonshot AI
Text & chatVisionReasoning
$0.95 / $4262.1K tokensAPI only4View
137

Claude Opus 4.6

Anthropic
Text & chatVisionReasoning
$5 / $251M tokensAPI only25View
138

Ling 3.0 Flash

InclusionAI
Text & chatVisionLow latency
$0.021 / $0.063262.1K tokensAPI only0.063View
139

GPT-5.6 Sol Pro

OpenAI
Text & chatVisionReasoning
$2 / $101.05M tokensAPI only10View
140

Laguna XS 2.1

Poolside
Text & chatCodingMultilingual
$0.06 / $0.12262.1K tokensAPI only0.12View

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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