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1 change: 1 addition & 0 deletions labs/vispark/lab.toml
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description = "Vispark builds India-centered foundational multimodal intelligence (Vision) with 1M-token context, served via Vispark Lab's API."
3 changes: 3 additions & 0 deletions labs/vispark/logo.svg
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26 changes: 26 additions & 0 deletions models/vispark/vision-large.toml
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# Lab metadata for Vispark Vision Large.
# Provider-agnostic facts about the model Vispark built.
# Served first-party by Vispark Lab via OpenAI-compatible API: https://api.lab.vispark.in/v1
# Model list: GET https://api.lab.vispark.in/v1/models returns vispark/vision-large
# (verified live 2026-09-13; context_length 1000000, max_output_length 65536 per entry).
# Chat: POST https://api.lab.vispark.in/v1/chat/completions.
# Release 2024-05-15: live endpoint returns created = 1715731200 (= 2024-05-15) per model,
# Last updated 2026-09: current lineup as verified live 2026-09-13 (month precision).
name = "Vision Large"
description = "Most capable Vision model for complex reasoning, detailed media analysis, and structured output over a 1M-token context window."
release_date = "2024-05-15"
last_updated = "2026-09"
attachment = true
reasoning = true
temperature = true
tool_call = true
structured_output = true
open_weights = false

[limit]
context = 1_000_000
output = 65_536

[modalities]
input = ["text", "image", "audio", "video", "pdf"]
output = ["text"]
26 changes: 26 additions & 0 deletions models/vispark/vision-medium.toml
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# Lab metadata for Vispark Vision Medium.
# Provider-agnostic facts about the model Vispark built.
# Served first-party by Vispark Lab via OpenAI-compatible API: https://api.lab.vispark.in/v1
# Model list: GET https://api.lab.vispark.in/v1/models returns vispark/vision-medium
# (verified live 2026-09-13; context_length 1000000, max_output_length 65536 per entry).
# Chat: POST https://api.lab.vispark.in/v1/chat/completions.
# Release 2024-05-15: live endpoint returns created = 1715731200 (= 2024-05-15) per model,
# Last updated 2026-09: current lineup as verified live 2026-09-13 (month precision).
name = "Vision Medium"
description = "Balanced multimodal model pairing a 1M-token context window with deeper reasoning for analysis, content creation, and tool use across text, image, audio, video, and PDF inputs."
release_date = "2024-05-15"
last_updated = "2026-09"
attachment = true
reasoning = true
temperature = true
tool_call = true
structured_output = true
open_weights = false

[limit]
context = 1_000_000
output = 65_536

[modalities]
input = ["text", "image", "audio", "video", "pdf"]
output = ["text"]
26 changes: 26 additions & 0 deletions models/vispark/vision-small.toml
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# Lab metadata for Vispark Vision Small.
# Provider-agnostic facts about the model Vispark built.
# Served first-party by Vispark Lab via OpenAI-compatible API: https://api.lab.vispark.in/v1
# Model list: GET https://api.lab.vispark.in/v1/models returns vispark/vision-small
# (verified live 2026-09-13; context_length 1000000, max_output_length 65536 per entry).
# Chat: POST https://api.lab.vispark.in/v1/chat/completions.
# Release 2024-05-15: live endpoint returns created = 1715731200 (= 2024-05-15) per model,
# Last updated 2026-09: current lineup as verified live 2026-09-13 (month precision).
name = "Vision Small"
description = "Fast, low-cost multimodal model for understanding text, images, audio, video, and PDFs, with tool calling and a 1M-token context window."
release_date = "2024-05-15"
last_updated = "2026-09"
attachment = true
reasoning = true
temperature = true
tool_call = true
structured_output = true
open_weights = false

[limit]
context = 1_000_000
output = 65_536

[modalities]
input = ["text", "image", "audio", "video", "pdf"]
output = ["text"]
3 changes: 3 additions & 0 deletions providers/vispark/logo.svg
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36 changes: 36 additions & 0 deletions providers/vispark/models/vispark/vision-large.toml
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# Vispark: Vision Large — first-party host (provider IS the lab, full inline allowed).
# API model ID: vispark/vision-large — GET https://api.lab.vispark.in/v1/models (verified live 2026-09-13).
# Cost source, USD/MTok, used verbatim: the provider's own models endpoint publishes
# pricing.prompt = "0.00000737" and pricing.completion = "0.00002211" USD per token
# (per-token USD strings) = input 7.37, output 22.11 per MTok.
# Reasoning: always-on, no caller control — accepted params are only
# temperature/max_tokens/top_p/top_k/stop/seed/frequency_penalty/presence_penalty/tools/
# tool_choice/response_format — no reasoning_effort/thinking/enable_thinking/budget field;
# Capabilities: temperature, top_p/top_k/stop/seed, tools, response_format json_object/json_schema,
# multimodal input text+image+audio+video+pdf (base64/URL), text output, streaming + usage.
# Limits: context 1_000_000 (context_length), output 65_536 (max_output_length) — same endpoint.
# Release 2024-05-15: live endpoint returns created = 1715731200 (= 2024-05-15) per model,
# Last updated 2026-09: current lineup as verified live 2026-09-13 (month precision).
name = "Vision Large"
description = "Most capable Vision model for complex reasoning, detailed media analysis, and structured output over a 1M-token context window."
release_date = "2024-05-15"
last_updated = "2026-09"
attachment = true
reasoning = true
temperature = true
tool_call = true
structured_output = true
open_weights = false
reasoning_options = []

[cost]
input = 7.37
output = 22.11

[limit]
context = 1_000_000
output = 65_536

[modalities]
input = ["text", "image", "audio", "video", "pdf"]
output = ["text"]
36 changes: 36 additions & 0 deletions providers/vispark/models/vispark/vision-medium.toml
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# Vispark: Vision Medium — first-party host (provider IS the lab, full inline allowed).
# API model ID: vispark/vision-medium (default model) — GET https://api.lab.vispark.in/v1/models (verified live 2026-09-13).
# Cost source, USD/MTok, used verbatim: the provider's own models endpoint publishes
# pricing.prompt = "0.00000421" and pricing.completion = "0.00001263" USD per token
# (per-token USD strings) = input 4.21, output 12.63 per MTok.
# Reasoning: always-on, no caller control — accepted params are only
# temperature/max_tokens/top_p/top_k/stop/seed/frequency_penalty/presence_penalty/tools/
# tool_choice/response_format — no reasoning_effort/thinking/enable_thinking/budget field;
# Capabilities: temperature, top_p/top_k/stop/seed, tools, response_format json_object/json_schema,
# multimodal input text+image+audio+video+pdf (base64/URL), text output, streaming + usage.
# Limits: context 1_000_000 (context_length), output 65_536 (max_output_length) — same endpoint.
# Release 2024-05-15: live endpoint returns created = 1715731200 (= 2024-05-15) per model,
# Last updated 2026-09: current lineup as verified live 2026-09-13 (month precision).
name = "Vision Medium"
description = "Balanced multimodal model pairing a 1M-token context window with deeper reasoning for analysis, content creation, and tool use across text, image, audio, video, and PDF inputs."
release_date = "2024-05-15"
last_updated = "2026-09"
attachment = true
reasoning = true
temperature = true
tool_call = true
structured_output = true
open_weights = false
reasoning_options = []

[cost]
input = 4.21
output = 12.63

[limit]
context = 1_000_000
output = 65_536

[modalities]
input = ["text", "image", "audio", "video", "pdf"]
output = ["text"]
36 changes: 36 additions & 0 deletions providers/vispark/models/vispark/vision-small.toml
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# Vispark: Vision Small — first-party host (provider IS the lab, full inline allowed).
# API model ID: vispark/vision-small — GET https://api.lab.vispark.in/v1/models (verified live 2026-09-13).
# Cost source, USD/MTok, used verbatim: the provider's own models endpoint publishes
# pricing.prompt = "0.00000105" and pricing.completion = "0.00000316" USD per token
# (per-token USD strings) = input 1.05, output 3.16 per MTok.
# Reasoning: always-on, no caller control — accepted params are only
# temperature/max_tokens/top_p/top_k/stop/seed/frequency_penalty/presence_penalty/tools/
# tool_choice/response_format — no reasoning_effort/thinking/enable_thinking/budget field;
# Capabilities: temperature, top_p/top_k/stop/seed, tools, response_format json_object/json_schema,
# multimodal input text+image+audio+video+pdf (base64/URL), text output, streaming + usage.
# Limits: context 1_000_000 (context_length), output 65_536 (max_output_length) — same endpoint.
# Release 2024-05-15: live endpoint returns created = 1715731200 (= 2024-05-15) per model,
# Last updated 2026-09: current lineup as verified live 2026-09-13 (month precision).
name = "Vision Small"
description = "Fast, low-cost multimodal model for understanding text, images, audio, video, and PDFs, with tool calling and a 1M-token context window."
release_date = "2024-05-15"
last_updated = "2026-09"
attachment = true
reasoning = true
temperature = true
tool_call = true
structured_output = true
open_weights = false
reasoning_options = []

[cost]
input = 1.05
output = 3.16

[limit]
context = 1_000_000
output = 65_536

[modalities]
input = ["text", "image", "audio", "video", "pdf"]
output = ["text"]
11 changes: 11 additions & 0 deletions providers/vispark/provider.toml
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# Vispark Lab — first-party host for Vispark Vision models.
# API: https://api.lab.vispark.in/v1
# Endpoints: GET /v1/models, POST /v1/chat/completions, POST /v1/completions
# Auth: X-API-Key header or Authorization: Bearer <key> (keys like vl_...)
# Platform: https://lab.vispark.in/ — get API key: https://lab.vispark.in/profile#api
# Vision docs: https://lab.vispark.in/#vision — company: https://vispark.in
name = "Vispark"
npm = "@ai-sdk/openai-compatible"
env = ["VISPARK_LAB_API_KEY"]
api = "https://api.lab.vispark.in/v1"
doc = "https://lab.vispark.in/#vision"
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