AI models available through Fliplet

AI models available through Fliplet

Choose an explicitly specified model for text, images, transcription or embeddings through Fliplet. Find configured model IDs, selection facts, fallback defaults and retirement notices here. See the JavaScript reference for method contracts.

Use a compatible model requested by the user. Otherwise select for the task, budget and required request format. Fallbacks are omission behavior and do not select the latest or most suitable model.

Contents

OpenAI text · Gemini text · Images · Transcription · Embeddings · Pinning and changes · Fallback defaults · Deprecated and retired models

Model catalog

The tables list model IDs configured by Fliplet. Deprecated and retired entries appear in Deprecated and retired models. Configuration and provider routing do not guarantee that a model remains available from its provider, or that every model supports every request format. Check the linked provider reference for endpoint compatibility and parameters before using a model.

OpenAI text models use createCompletion() or POST /v1/apps/:app/ai/completions. Chat Completions uses messages; Responses uses input and useResponses: true. Models marked Responses require that format. Other models must use a format supported by their individual OpenAI model reference.

OpenAI text models

Numbered GPT models are ordered by version (highest first), then Astra, Sol, Terra and Luna within a version, and Pro, normal, Mini and Nano within a model family. This order helps you find models; it does not determine which is most suitable for your task. The 4o family is listed separately.

Model ID Availability or request-format note
gpt-6.1-sol Chat Completions or Responses.
gpt-6-astra Chat Completions or Responses.
gpt-6-sol Chat Completions or Responses.
gpt-6-luna Chat Completions or Responses.
gpt-5.6-sol Chat Completions or Responses.
gpt-5.6-terra Chat Completions or Responses.
gpt-5.6-luna Chat Completions or Responses.
gpt-5.5-pro Responses format; provider does not support streaming.
gpt-5.5 Chat Completions or Responses.
gpt-5.4-pro Responses format.
gpt-5.4 Chat Completions or Responses.
gpt-5.4-mini Chat Completions or Responses.
gpt-5.2-pro Responses format.
gpt-5.2 Chat Completions or Responses.
gpt-4.1 Chat Completions or Responses.
gpt-4.1-mini Chat Completions or Responses.

GPT-4o family

Model ID Availability or request-format note
gpt-4o Chat Completions or Responses.
gpt-4o-mini Chat Completions or Responses.

Provider selection facts for text-only requests:

  • OpenAI positions GPT-6 Astra for complex reasoning and coding; Standard text input/output rates are $10/$50 per million tokens.
  • GPT-6.1 Sol balances capability and cost; Standard text input/output rates are $2/$10 per million tokens. Chat Completions supports text generation without tool calling; use Responses for tools.
  • GPT-6 Luna targets focused, high-volume workloads; Standard text input/output rates are $0.10/$0.50 per million tokens. For Chat Completions function calling, the provider requires reasoning_effort: 'none'; Responses uses its own reasoning settings.

These three models accept text and image input and produce text output. Their provider context window is 1,050,000 tokens; prompts above 272,000 input tokens have different pricing. The 272,000-token warning in Fliplet Chat Completions does not truncate or reject input. The rates above describe provider costs, not Fliplet charges, and exclude caching, regional premiums and tools. They are facts for a selection decision, not comparative benchmark results. See OpenAI pricing for conditions. Capability and cost comparisons for other configured models are not summarized here; preserve a supported user pin and verify the model-specific reference before changing it.

Gemini text models

Gemini text models use createCompletion({ model, contents }) or the app REST completion endpoint with contents. Use the Gemini model reference for payloads and capabilities.

Model ID Availability note
gemini-3.5-flash See provider model reference.
gemini-3.1-flash-lite Earliest announced shutdown May 7, 2027; check provider notice before migration.
gemini-2.5-pro Provider restricts access to accounts with prior active usage.
gemini-2.5-flash Provider restricts access to accounts with prior active usage.
gemini-2.5-flash-lite Provider restricts access to accounts with prior active usage.

For lightweight extraction and high-frequency text tasks, Google describes Gemini 3.1 Flash-Lite as a low-latency, cost-effective model with text, image, video, audio and PDF inputs and text output. Gemini 3.5 Flash supports multi-step reasoning and coding workflows. These are provider capabilities; a required upload, tool execution or media flow still needs a verified Fliplet integration. See Gemini pricing for provider costs.

See the Gemini changelog and Gemini deprecations for retirement and access restrictions.

Image models

OpenAI image models use generateImage() or POST /v1/apps/:app/ai/image. Gemini image IDs are also configured, but use createCompletion() with Gemini contents and generationConfig, as shown in the Fliplet Gemini image example and provider image reference. Read image data from candidates[0].content.parts entries with inlineData. OpenAI image response handling does not apply.

Model ID Availability note
gpt-image-2 OpenAI image model.
gemini-3.1-flash-image See provider image reference.
gemini-3-pro-image See provider image reference.

dall-e-2 and dall-e-3 are legacy IDs. Fliplet replaces either ID with gpt-image-2, so specifying a DALL-E ID does not pin the requested model.

Transcription models

transcribeAudio() and POST /v1/apps/:app/ai/audio accept only the three IDs below. Newer provider transcription IDs are not accepted by these Fliplet methods until Fliplet adds support.

Model ID Availability note
gpt-4o-mini-transcribe Deprecated; retirement scheduled for February 26, 2027.
gpt-4o-transcribe Deprecated; retirement scheduled for February 26, 2027.
whisper-1 Deprecated; retirement scheduled for February 26, 2027.

All three accepted transcription models have announced retirement dates. Provider replacements are not yet accepted by Fliplet’s transcription allowlist. See OpenAI deprecations and test the app’s upload/recording workflow before changing its model.

Embedding models

Embedding models use createEmbedding() or POST /v1/apps/:app/ai/embeddings. See the OpenAI embedding reference for input limits and dimensions.

  • text-embedding-3-small
  • text-embedding-3-large
  • text-embedding-ada-002

OpenAI Standard embedding rates are $0.02 per million input tokens for text-embedding-3-small and $0.13 for text-embedding-3-large. These are provider rates, not Fliplet charges. Their default vector dimensions are 1,536 and 3,072 respectively; dimensions can reduce the output length.

Keep the same embedding model and dimensions when comparing stored vectors with new queries. Changing models can require regenerating stored embeddings.

Pinning and changes

An explicit alias such as gpt-6.1-sol pins the requested ID; the provider can change the version behind it. A compatible dated snapshot pins a version where the provider offers one, but remains subject to retirement. Configuration or successful routing does not guarantee current provider access. The exported JavaScript AVAILABLE_MODELS metadata is older descriptive information, not an enforced allowlist or this catalog.

Fliplet remaps dall-e-2 and dall-e-3 to gpt-image-2, so those legacy image IDs do not pin the requested model. Keep model, payload and response handling aligned when migrating a chatbot. For embeddings, regenerate stored vectors when the new model or dimensions require it. Check current provider notices and retest the feature before changing an existing supported pin.

Fallback defaults

These defaults apply only when model is omitted. They are not recommendations for new features.

The following defaults reflect the JavaScript wrapper and REST handlers. JavaScript inserts its own completion fallback before making the REST request, so that request does not inherit the REST completion default.

Operation JavaScript fallback when model is omitted Direct app REST fallback when model is omitted
Chat: Fliplet.AI() / ask() and createCompletion({ messages }); POST /v1/apps/:app/ai/completions gpt-3.5-turbo gpt-4o-mini
Responses: createCompletion({ input, useResponses: true }); same REST endpoint gpt-3.5-turbo (incompatible with Responses; specify a compatible model) gpt-4o-mini
Legacy non-streaming prompt: createCompletion({ prompt }); same REST endpoint gpt-3.5-turbo (not a legacy prompt model) gpt-3.5-turbo-instruct (retired)
Images: generateImage(); POST /v1/apps/:app/ai/image gpt-image-2 through the REST handler gpt-image-2
Audio transcription: transcribeAudio(); POST /v1/apps/:app/ai/audio gpt-4o-mini-transcribe through the REST handler gpt-4o-mini-transcribe
Embeddings: createEmbedding(); POST /v1/apps/:app/ai/embeddings text-embedding-ada-002 through the REST handler text-embedding-ada-002

Gemini requests require an explicit Gemini model ID and a Gemini payload. OpenAI retired gpt-3.5-turbo-instruct on September 28, 2026; new text features use messages or Responses input instead of the legacy prompt format. gpt-3.5-turbo is scheduled for retirement on October 23, 2026. See OpenAI deprecations.

Deprecated and retired models

These IDs remain listed in Fliplet configuration or historical JavaScript metadata; their presence does not establish provider availability. Do not select them for new features. Check the provider notices for affected IDs and retirement dates. Transcription IDs remain in their category because they are the only IDs accepted by Fliplet, with deprecation clearly marked.

Deprecated OpenAI text models

Model ID Availability or request-format note
gpt-5.4-nano Deprecated; retirement April 1, 2027. Chat Completions or Responses.
gpt-5.3-codex Deprecated; retirement April 1, 2027. Responses format.
gpt-5.1 Deprecated; retirement April 1, 2027. Chat Completions or Responses.
gpt-5-pro Responses format. Deprecated; see the snapshot retirement notice below.
gpt-5 Chat Completions or Responses. Deprecated; see the snapshot retirement notice below.
gpt-5-mini Chat Completions or Responses. Deprecated; see the snapshot retirement notice below.
gpt-5-nano Chat Completions or Responses. Deprecated; see the snapshot retirement notice below.

OpenAI announced deprecation of GPT-5.1, GPT-5.3-Codex and GPT-5.4-Nano on October 1, 2026. GPT-5, GPT-5 Mini, GPT-5 Nano and GPT-5 Pro are also deprecated. The affected dated snapshots of GPT-5, GPT-5 Mini, GPT-5 Nano and GPT-5 Pro are scheduled for retirement on December 11, 2026; check the OpenAI deprecation list for exact affected IDs.

Historical Gemini text models

Model ID Availability note
gemini-2.0-flash-thinking Historical configuration entry; no current provider model with this ID. Do not select.
gemini-2.0-flash Legacy 2.0 family retired June 1, 2026; do not select.
gemini-1.5-pro Retired September 29, 2025; do not select.
gemini-1.5-flash-8b Retired September 29, 2025; do not select.
gemini-1.5-flash Retired September 29, 2025; do not select.

Retired image models

Model ID Availability note
gemini-2.5-flash-image Retired October 2, 2026; do not select.

Historical IDs and additional provider models

The JavaScript AVAILABLE_MODELS metadata is not a complete availability catalog or a validation list. In addition to IDs above, it retains gpt-3.5-turbo, text-davinci-003, gpt-4, gpt-4-turbo, o1, o1-mini, o3 and o3-mini. Do not infer availability from that metadata. text-davinci-003 and o1-mini are retired. gpt-3.5-turbo, gpt-4, gpt-4-turbo, o1 and o3-mini are scheduled for retirement on October 23, 2026. o3 is deprecated; its o3-2025-04-16 snapshot is scheduled for retirement on December 11, 2026.

The completion proxy also routes additional model IDs and provider snapshots that are not listed in the catalog above. Successful routing alone does not establish current provider access or endpoint compatibility. New features should start from the configured catalog above and use current provider documentation to confirm compatibility.