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Models

All AI models supported by Vivgrid β€” from frontier to fast, with current and earlier models grouped by price tier.

Vivgrid provides access to a range of powerful AI models for building enterprise-grade AI agents. We select models based on their performance, cost-effectiveness, and suitability for various tasks.

Frontier

The newest, most capable models β€” for the hardest problems.

Workhorse

The everyday workhorses β€” strong capability at a sensible price.

Fast

Quick and light β€” for high-volume calls and simple tasks.

Latest models

New models are added here as providers release them. Prices are in USD per 1M tokens, and models are listed alphabetically within each tier.

πŸš€ Frontier

ModelBest forContextMax outputInputCachedOutputAPI Protocol
claude-fable-5-1Coding1M128K$10.00$0.50$50.00Messages, Chat Completions
gpt-6-astraCoding1.05M128K$10.00$1.00$50.00Responses, Chat Completions

πŸ› οΈ Workhorse

ModelBest forContextMax outputInputCachedOutputAPI Protocol
claude-opus-5-5Coding1M128K$4.00$0.20$20.00Messages, Chat Completions
claude-opus-5Coding1M128K$5.00$0.50$25.00Messages, Chat Completions
claude-sonnet-5-5Coding1M128K$2.00$0.20$10.00Messages, Chat Completions
claude-sonnet-5Coding1M128K$2.00$0.20$10.00Messages, Chat Completions
gemini-4-argonCoding1.05M1.05M$4.00$0.20$20.00Chat Completions
gpt-6.1-solCoding1.05M128K$2.00$0.20$10.00Responses, Chat Completions
gpt-6-solCoding1.05M128K$2.00$0.20$10.00Responses, Chat Completions
kimi-k3Coding1M128K$3.00$0.30$15.00Chat Completions

⚑ Fast

ModelBest forContextMax outputInputCachedOutputAPI Protocol
claude-haiku-5-5Coding1M128K$0.10$0.01$0.50Messages, Chat Completions
deepseek-v4.1-flashCoding1M384K$0.31$0.01$1.23Chat Completions
deepseek-v4-proCoding1M384K$1.74$0.14$3.48Chat Completions
gemini-3.8-flashCoding1M128K$0.75$0.15$3.75Chat Completions
glm-5.3Coding1M128K$1.20$0.30$4.20Chat Completions
glm-5.3-flashCoding1M384K$0.15$0.04$0.50Chat Completions
gpt-6-lunaGeneral-purpose1.05M128K$0.10$0.01$0.50Responses, Chat Completions
gpt-6.1-terraNewGeneral-purpose1.05M128K$1.10$0.055$5.50Responses, Chat Completions
kimi-k2.8-previewCoding1Mβ€”$1.00$0.26$4.15Chat Completions
minimax-m3Coding512K128K$1.20$0.24$2.40Chat Completions
viv-fastGeneral-purpose1M256K$0.13$0.05$0.40Responses, Chat Completions

Prices are USD per 1M tokens at the base rate. Models with a long-context surcharge list it on their own page.

Image, decision & other models

These models are priced per image or per decision call, so they sit outside the price tiers.

ModelBest forPricingAPI Protocol
decision-1Decision$0.084 / 1M input tokensSystemOne
gemini-nano-banana-2.1Image generation$30.00 / 1M image output tokensImages
gemini-3-pro-imageImage generation$120.00 / 1M image output tokensImages
gpt-image-2.5-flareImage generation$33.00 / 1M image output tokensImages
gpt-image-2.5-sunburstImage generation$33.00 / 1M image output tokensImages
jevDecision$0.084 / 1M input tokensSystemOne

Legacy models

Models from earlier generations remain available unless a retirement is announced. Prices are USD per 1M tokens, and each row points to the model to move to.

ModelTierContextMax outputInputCachedOutputUse instead
minimax-m2.7⚑ Fast205K131K$0.30$0.06$1.20minimax-m3
kimi-k2.6⚑ Fast262K256K$1.00$0.20$4.00kimi-k2.8-preview
gpt-5.6-terraπŸ› οΈ Workhorse1.05M128K$2.50$0.25$15.00gpt-6.1-terra
gpt-5.6-solπŸ› οΈ Workhorse1.05M128K$5.00$0.50$30.00gpt-6.1-sol
gpt-5.6-luna⚑ Fast1.05M128K$1.00$0.10$6.00gpt-6-luna
gpt-5.5πŸ› οΈ Workhorse1.05M128K$5.00$0.50$30.00gpt-6.1-sol
gpt-5.4-nano⚑ Fast400K128K$0.20$0.02$1.25gpt-6-luna
gpt-5.4-mini⚑ Fast400K128K$0.75$0.08$4.50gpt-6-luna
gpt-5.4πŸ› οΈ Workhorse1.05M128K$2.50$0.25$15.00gpt-6.1-sol
gpt-5.3-codexπŸ› οΈ Workhorse400K128K$1.75$0.175$14.00gpt-6.1-sol
gpt-5.2-codexπŸ› οΈ Workhorse400K128K$1.75$0.175$14.00gpt-6.1-sol
gpt-5.2πŸ› οΈ Workhorse400K128K$1.75$0.175$14.00gpt-6.1-sol
gpt-5.1-codex-maxπŸ› οΈ Workhorse400K128K$1.25$0.125$10.00gpt-6.1-sol
gpt-5.1-codexπŸ› οΈ Workhorse400K128K$1.25$0.125$10.00gpt-6.1-sol
gpt-5.1πŸ› οΈ Workhorse272K128K$1.25$0.125$10.00gpt-6.1-sol
gpt-5-mini⚑ Fast272K128K$0.25$0.03$2.00gpt-6-luna
gpt-5πŸ› οΈ Workhorse272K128K$1.25$0.125$10.00gpt-6.1-sol
gpt-4oπŸ› οΈ Workhorse128Kβ€”$2.50$1.25$10.00gpt-6.1-sol
gpt-4.1πŸ› οΈ Workhorse1.05Mβ€”$2.00$0.50$8.00gpt-6.1-sol
glm-5.2⚑ Fast1M128K$1.20$0.30$4.20glm-5.3
glm-5.1⚑ Fast200K128K$1.40$0.30$4.40glm-5.3
gemini-3.7-flash⚑ Fast1M64K$0.75$0.075$3.75gemini-3.8-flash
gemini-3.6-flash⚑ Fast1M64K$0.75$0.075$3.75gemini-3.8-flash
gemini-3.5-flashπŸ› οΈ Workhorse1M66K$1.50$0.15$9.00gemini-3.8-flash
gemini-3.1-pro-previewπŸ› οΈ Workhorse1.05M66K$3.00$0.30$12.00gemini-4-argon
gemini-3.1-flash-lite-preview⚑ Fast1.05M66K$0.25β€”$1.50gemini-3.8-flash
gemini-3.1-flash-imageβ€”131K33K$0.50$0.05$3.00 text Β· $60.00 imagegemini-nano-banana-2.1
gemini-3-pro-previewπŸ› οΈ Workhorse1M64K$2.00$0.40$12.00gemini-4-argon
gemini-3-flash-preview⚑ Fast1.05M64K$0.50$0.005$3.00gemini-3.8-flash
gemini-2.5-proπŸ› οΈ Workhorse1.05Mβ€”$1.25$0.31$10.00gemini-4-argon
gemini-2.5-flash⚑ Fast1.05Mβ€”$0.30$0.08$2.50gemini-3.8-flash
deepseek-v4-pro-0813⚑ Fast1M384K$1.35$0.05$3.00deepseek-v4-pro
deepseek-v4-flash-vision-exp⚑ Fast1M384K$0.44$0.044$1.32deepseek-v4.1-flash
deepseek-v4-flash⚑ Fast1M384K$0.44$0.044$1.32deepseek-v4.1-flash
deepseek-v3.2⚑ Fast128K128K$0.28$0.03$0.42deepseek-v4-pro
deepseek-v3.1⚑ Fast131Kβ€”$1.14β€”$4.56deepseek-v4-pro
deepseek-r1-0528⚑ Fast164Kβ€”$1.35β€”$5.40deepseek-v4-pro
claude-sonnet-4-6πŸ› οΈ Workhorse1M128K$4.00$1.00$15.00claude-sonnet-5-5
claude-opus-4-8πŸ› οΈ Workhorse1M128K$5.00$0.50$25.00claude-opus-5-5
claude-opus-4-7πŸ› οΈ Workhorse1M128K$5.00$0.50$25.00claude-opus-5-5
claude-opus-4-6πŸ› οΈ Workhorse1M128K$5.00$1.00$25.00claude-opus-5-5
claude-haiku-4-5⚑ Fast200K64K$1.00$0.10$5.00claude-haiku-5-5
claude-fable-5πŸš€ Frontier1M128K$10.00$1.25$50.00claude-fable-5-1

Scheduled retirements on November 11, 2026

The following models will be retired from Vivgrid on November 11, 2026 and will no longer be available after retirement. Migrate your integrations to the replacements listed in the table above before that date.

API Surfaces

Most models are offered on more than one surface. The API Protocol column above shows which wire protocols each model speaks; they are the same endpoints listed below, and each model's page shows which surfaces it is catalogued on.

SurfaceEndpointWhat you build with it
Vibe coding/chat/completions, /messages, /responsesCoding CLIs and IDE agents that drive the model themselves β€” Claude Code, Codex, OpenCode and friends.
Chat Completions/chat/completions, /messagesAgent projects, where Vivgrid injects the model, system prompt and tools server-side, plus Model API calls that name the model per request.
Decisions/systemoneStructured decision calls that return scores and choices instead of prose.

Every surface sits behind the same API key and the same https://api.vivgrid.com/v1 base URL. Each model's page lists the surfaces it is catalogued on, with a copy-pasteable request for each β€” see gpt-6-sol or claude-opus-5-5 for an example.

How to Set Models for your Agent Project

You don't need to specify a model-name in your API calls. The model for your agent is managed on the backend, so switching models won't require any code changes.

To change the model for your agent, go to the Agent Settings page in the Vivgrid Console.

Service Regions & Geo-Distributed Acceleration

Vivgrid intelligently accelerates model inference by automatically routing API requests to the nearest available compute region, minimizing latency and maximizing throughput β€” all while maintaining data-residency compliance for enterprise workloads.

Unlike conventional Global deployments on public clouds (which rely on single centralized endpoints), Vivgrid’s geo-distributed architecture continuously synchronizes AI Skills and model states across multiple data zones, ensuring each region delivers optimized, low-latency performance.

The table covers the latest models. Legacy models keep the acceleration mode listed on their own pages.

ModelAcceleration ModeAccelerated Regions
claude-fable-5-1⚑ Geo-DistributedAMER, EMEA, APAC
claude-haiku-5-5⚑ Geo-DistributedAMER, EMEA, APAC
claude-opus-5-5⚑ Geo-DistributedAMER, EMEA, APAC
claude-opus-5⚑ Geo-DistributedAMER, EMEA, APAC
claude-sonnet-5-5⚑ Geo-DistributedAMER, EMEA, APAC
claude-sonnet-5⚑ Geo-DistributedAMER, EMEA, APAC
decision-1⚑ Geo-DistributedAMER, EMEA, APAC
deepseek-v4.1-flash🌐 Global (Centralized)APAC
deepseek-v4-pro🌐 Global (Centralized)APAC
gemini-4-argon🌐 Global (Centralized)β€”
gemini-3.8-flash🌐 Global (Centralized)β€”
gemini-nano-banana-2.1🌐 Global (Centralized)β€”
gemini-3-pro-image🌐 Global (Centralized)β€”
glm-5.3🌐 Global (Centralized)APAC
glm-5.3-flash🌐 Global (Centralized)APAC
gpt-6-astra⚑ Geo-DistributedAMER, EMEA, APAC
gpt-image-2.5-flare🌐 Global (Centralized)EMEA
gpt-image-2.5-sunburst🌐 Global (Centralized)EMEA
gpt-6-luna⚑ Geo-DistributedAMER, EMEA, APAC
gpt-6.1-sol⚑ Geo-DistributedAMER, EMEA, APAC
gpt-6-sol⚑ Geo-DistributedAMER, EMEA, APAC
gpt-6.1-terra New⚑ Geo-DistributedAMER, EMEA, APAC
jev🌐 Global (Centralized)AMER
kimi-k3🌐 Global (Centralized)APAC
kimi-k2.8-preview🌐 Global (Centralized)APAC
minimax-m3🌐 Global (Centralized)APAC
viv-fast⚑ Geo-DistributedAMER, EMEA, APAC

Key Highlights

  • Dynamic Routing β€” Vivgrid automatically detects the user’s region and routes requests to the nearest accelerated node, minimizing cross-continent latency.
  • Tool Synchronization β€” AI tools and context caches are replicated across all accelerated regions for consistent behavior.
  • Adaptive Caching β€” Frequently accessed prompts and embeddings are regionally cached to reduce cold-start delays.
  • Seamless Fallback β€” Traffic automatically re-routes to neighboring accelerated zones during high load or outages.

Notes on Global Models

For Global-only models (e.g., gemini-4-argon), the model host remains centralized under the provider’s Global Standard endpoint, limiting VivGrid’s ability to perform regional acceleration.
In contrast, Geo-Distributed models (e.g., gpt-5.6-sol,claude-opus-5) leverage Vivgrid’s orchestration layer β€” delivering sub-50 ms latency worldwide through intelligent regional acceleration.


Comparing Vivgrid with other platforms? See Vivgrid vs. Alternatives.

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