Tabnine
Coding assistant provider with proprietary chat and completion models, enterprise private deployment and historical Deep TabNine engines.
Protected alias and V2, Tabnine+Mistral, universal completion and historical Deep TabNine/Local reviewed. Current exact versions, older proprietary variants and account-specific access remain unresolved.
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Estimate = (input tokens × input price + output tokens × output price) / 1,000,000. Include conversation history in input and billed reasoning in output. Input-only decision models ignore the output setting; enter all billed input for one decision, including its question and criteria. Media, tools and discounts are separate.
6 models
| Compare | Model | Input tokensPublished limit* | Output tokensMaximum per response* | Input pricePer 1M tokens | Output pricePer 1M tokens | Cost per question1,000 input + 500 outputEstimated · uncached |
|---|---|---|---|---|---|---|
| Not collected | Not collected | Usage pricingNot collected | Task-based pricingPrice details ↗ | |||
| Not collected | Not collected | Usage pricingNot collected | Needs rate detailsPrice details ↗ | |||
| Not collected | Not collected | Usage pricingNot collected | Needs rate detailsPrice details ↗ | |||
| Not collected | Not collected | Usage pricingNot collected | Task-based pricingPrice details ↗ | |||
| Not collected | Not collected | Usage pricingNot collected | Needs rate detailsPrice details ↗ | |||
| Not collected | Not collected | Usage pricingNot collected | Task-based pricingPrice details ↗ | |||
* Media models show their native limits. A shared context window includes both input and output tokens.
Catalog coverage
Closed-weight model variants and explicitly identified closed-source managed model components across language, code, image, video, audio and other documented modalities. Global provider and historical-release coverage is being expanded; this is not yet exhaustive. 172 company reviews are still open.
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