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
81

Gemini Omni Flash

Google
Text & chatVisionAudio
$1.5 / $9API only9View
82

Grok 4.20 Reasoning

xAI
Text & chatVisionReasoning
$1.25 / $2.51M tokensAPI only2.5View
83

Grok 4.20 Non-Reasoning

xAI
Text & chatVisionReasoning
$1.25 / $2.51M tokensAPI only2.5View
84

Grok Build 0.1

xAI
Text & chatAdjustable thinkingWeb search grounding
$1 / $2256K tokensAPI only2View
85

DeepSeek V4 Pro

DeepSeek
Text & chatReasoningAdjustable thinking
1M tokensAPI onlyView
86

DeepSeek V4 Flash

DeepSeek
Text & chatVisionReasoning
1M tokensAPI onlyView
87

Codestral

Mistral AI
Text & chatCodingStructured JSON output
$0.3 / $0.9128K tokensAPI only0.9View
88

Devstral 2

Mistral AI
Text & chatCodingStructured JSON output
256K tokensAPI onlyView
89

Magistral Medium 1.2

Mistral AI
Text & chatStructured JSON outputPrompt caching
128K tokensAPI onlyView
90

Command A+

Cohere
Text & chatVisionReasoning
$17.50–$32.50 / hr¹128K tokensAPI onlyView
91

Command A Reasoning

Cohere
Text & chatReasoningTool calling
API onlyView
92

Command A Vision

Cohere
Text & chatVisionReasoning
128K tokensAPI onlyView
93

Command A Translate

Cohere
Text & chatReasoningTranslation
API onlyView
94

Command R+

Cohere
Text & chatMultilingualProprietary API
$2.5 / $10API only10View
95

Command R

Cohere
Text & chatMultilingualProprietary API
API onlyView
96

Command R7B

Cohere
Text & chatMultilingualProprietary API
128K tokensAPI onlyView
97

North Mini Code

Cohere
Text & chatCodingLow latency
256K tokensAPI onlyView
98

Jamba2 Mini

AI21 Labs
Text & chatReasoningTool calling
256K tokensAPI onlyView
99

Jamba2 3B

AI21 Labs
Text & chatReasoningTool calling
256K tokensAPI onlyView
100

Nova 2 Lite

Amazon
Text & chatVisionVideo
$0.3 / $2.5256K tokensAPI only2.5View

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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