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.
The newest, most capable models β for the hardest problems.
The everyday workhorses β strong capability at a sensible price.
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.
π Frontier
| Model | Best for | Context | Max output | Input | Cached | Output | API Protocol |
|---|---|---|---|---|---|---|---|
| claude-fable-5-1 | Coding | 1M | 128K | $10.00 | $0.50 | $50.00 | Messages, Chat Completions |
| gpt-6-astra | Coding | 1.05M | 128K | $10.00 | $1.00 | $50.00 | Responses, Chat Completions |
π οΈ Workhorse
| Model | Best for | Context | Max output | Input | Cached | Output | API Protocol |
|---|---|---|---|---|---|---|---|
| claude-opus-5-5 | Coding | 1M | 128K | $4.00 | $0.20 | $20.00 | Messages, Chat Completions |
| claude-opus-5 | Coding | 1M | 128K | $5.00 | $0.50 | $25.00 | Messages, Chat Completions |
| claude-sonnet-5-5 | Coding | 1M | 128K | $2.00 | $0.20 | $10.00 | Messages, Chat Completions |
| claude-sonnet-5 | Coding | 1M | 128K | $2.00 | $0.20 | $10.00 | Messages, Chat Completions |
| gemini-4-argon | Coding | 1.05M | 1.05M | $4.00 | $0.20 | $20.00 | Chat Completions |
| gpt-6.1-sol | Coding | 1.05M | 128K | $2.00 | $0.20 | $10.00 | Responses, Chat Completions |
| gpt-6-sol | Coding | 1.05M | 128K | $2.00 | $0.20 | $10.00 | Responses, Chat Completions |
| kimi-k3 | Coding | 1M | 128K | $3.00 | $0.30 | $15.00 | Chat Completions |
β‘ Fast
| Model | Best for | Context | Max output | Input | Cached | Output | API Protocol |
|---|---|---|---|---|---|---|---|
| claude-haiku-5-5 | Coding | 1M | 128K | $0.10 | $0.01 | $0.50 | Messages, Chat Completions |
| deepseek-v4.1-flash | Coding | 1M | 384K | $0.31 | $0.01 | $1.23 | Chat Completions |
| deepseek-v4-pro | Coding | 1M | 384K | $1.74 | $0.14 | $3.48 | Chat Completions |
| gemini-3.8-flash | Coding | 1M | 128K | $0.75 | $0.15 | $3.75 | Chat Completions |
| glm-5.3 | Coding | 1M | 128K | $1.20 | $0.30 | $4.20 | Chat Completions |
| glm-5.3-flash | Coding | 1M | 384K | $0.15 | $0.04 | $0.50 | Chat Completions |
| gpt-6-luna | General-purpose | 1.05M | 128K | $0.10 | $0.01 | $0.50 | Responses, Chat Completions |
| gpt-6.1-terraNew | General-purpose | 1.05M | 128K | $1.10 | $0.055 | $5.50 | Responses, Chat Completions |
| kimi-k2.8-preview | Coding | 1M | β | $1.00 | $0.26 | $4.15 | Chat Completions |
| minimax-m3 | Coding | 512K | 128K | $1.20 | $0.24 | $2.40 | Chat Completions |
| viv-fast | General-purpose | 1M | 256K | $0.13 | $0.05 | $0.40 | Responses, 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.
| Model | Best for | Pricing | API Protocol |
|---|---|---|---|
| decision-1 | Decision | $0.084 / 1M input tokens | SystemOne |
| gemini-nano-banana-2.1 | Image generation | $30.00 / 1M image output tokens | Images |
| gemini-3-pro-image | Image generation | $120.00 / 1M image output tokens | Images |
| gpt-image-2.5-flare | Image generation | $33.00 / 1M image output tokens | Images |
| gpt-image-2.5-sunburst | Image generation | $33.00 / 1M image output tokens | Images |
| jev | Decision | $0.084 / 1M input tokens | SystemOne |
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.
| Model | Tier | Context | Max output | Input | Cached | Output | Use instead |
|---|---|---|---|---|---|---|---|
| minimax-m2.7 | β‘ Fast | 205K | 131K | $0.30 | $0.06 | $1.20 | minimax-m3 |
| kimi-k2.6 | β‘ Fast | 262K | 256K | $1.00 | $0.20 | $4.00 | kimi-k2.8-preview |
| gpt-5.6-terra | π οΈ Workhorse | 1.05M | 128K | $2.50 | $0.25 | $15.00 | gpt-6.1-terra |
| gpt-5.6-sol | π οΈ Workhorse | 1.05M | 128K | $5.00 | $0.50 | $30.00 | gpt-6.1-sol |
| gpt-5.6-luna | β‘ Fast | 1.05M | 128K | $1.00 | $0.10 | $6.00 | gpt-6-luna |
| gpt-5.5 | π οΈ Workhorse | 1.05M | 128K | $5.00 | $0.50 | $30.00 | gpt-6.1-sol |
| gpt-5.4-nano | β‘ Fast | 400K | 128K | $0.20 | $0.02 | $1.25 | gpt-6-luna |
| gpt-5.4-mini | β‘ Fast | 400K | 128K | $0.75 | $0.08 | $4.50 | gpt-6-luna |
| gpt-5.4 | π οΈ Workhorse | 1.05M | 128K | $2.50 | $0.25 | $15.00 | gpt-6.1-sol |
| gpt-5.3-codex | π οΈ Workhorse | 400K | 128K | $1.75 | $0.175 | $14.00 | gpt-6.1-sol |
| gpt-5.2-codex | π οΈ Workhorse | 400K | 128K | $1.75 | $0.175 | $14.00 | gpt-6.1-sol |
| gpt-5.2 | π οΈ Workhorse | 400K | 128K | $1.75 | $0.175 | $14.00 | gpt-6.1-sol |
| gpt-5.1-codex-max | π οΈ Workhorse | 400K | 128K | $1.25 | $0.125 | $10.00 | gpt-6.1-sol |
| gpt-5.1-codex | π οΈ Workhorse | 400K | 128K | $1.25 | $0.125 | $10.00 | gpt-6.1-sol |
| gpt-5.1 | π οΈ Workhorse | 272K | 128K | $1.25 | $0.125 | $10.00 | gpt-6.1-sol |
| gpt-5-mini | β‘ Fast | 272K | 128K | $0.25 | $0.03 | $2.00 | gpt-6-luna |
| gpt-5 | π οΈ Workhorse | 272K | 128K | $1.25 | $0.125 | $10.00 | gpt-6.1-sol |
| gpt-4o | π οΈ Workhorse | 128K | β | $2.50 | $1.25 | $10.00 | gpt-6.1-sol |
| gpt-4.1 | π οΈ Workhorse | 1.05M | β | $2.00 | $0.50 | $8.00 | gpt-6.1-sol |
| glm-5.2 | β‘ Fast | 1M | 128K | $1.20 | $0.30 | $4.20 | glm-5.3 |
| glm-5.1 | β‘ Fast | 200K | 128K | $1.40 | $0.30 | $4.40 | glm-5.3 |
| gemini-3.7-flash | β‘ Fast | 1M | 64K | $0.75 | $0.075 | $3.75 | gemini-3.8-flash |
| gemini-3.6-flash | β‘ Fast | 1M | 64K | $0.75 | $0.075 | $3.75 | gemini-3.8-flash |
| gemini-3.5-flash | π οΈ Workhorse | 1M | 66K | $1.50 | $0.15 | $9.00 | gemini-3.8-flash |
| gemini-3.1-pro-preview | π οΈ Workhorse | 1.05M | 66K | $3.00 | $0.30 | $12.00 | gemini-4-argon |
| gemini-3.1-flash-lite-preview | β‘ Fast | 1.05M | 66K | $0.25 | β | $1.50 | gemini-3.8-flash |
| gemini-3.1-flash-image | β | 131K | 33K | $0.50 | $0.05 | $3.00 text Β· $60.00 image | gemini-nano-banana-2.1 |
| gemini-3-pro-preview | π οΈ Workhorse | 1M | 64K | $2.00 | $0.40 | $12.00 | gemini-4-argon |
| gemini-3-flash-preview | β‘ Fast | 1.05M | 64K | $0.50 | $0.005 | $3.00 | gemini-3.8-flash |
| gemini-2.5-pro | π οΈ Workhorse | 1.05M | β | $1.25 | $0.31 | $10.00 | gemini-4-argon |
| gemini-2.5-flash | β‘ Fast | 1.05M | β | $0.30 | $0.08 | $2.50 | gemini-3.8-flash |
| deepseek-v4-pro-0813 | β‘ Fast | 1M | 384K | $1.35 | $0.05 | $3.00 | deepseek-v4-pro |
| deepseek-v4-flash-vision-exp | β‘ Fast | 1M | 384K | $0.44 | $0.044 | $1.32 | deepseek-v4.1-flash |
| deepseek-v4-flash | β‘ Fast | 1M | 384K | $0.44 | $0.044 | $1.32 | deepseek-v4.1-flash |
| deepseek-v3.2 | β‘ Fast | 128K | 128K | $0.28 | $0.03 | $0.42 | deepseek-v4-pro |
| deepseek-v3.1 | β‘ Fast | 131K | β | $1.14 | β | $4.56 | deepseek-v4-pro |
| deepseek-r1-0528 | β‘ Fast | 164K | β | $1.35 | β | $5.40 | deepseek-v4-pro |
| claude-sonnet-4-6 | π οΈ Workhorse | 1M | 128K | $4.00 | $1.00 | $15.00 | claude-sonnet-5-5 |
| claude-opus-4-8 | π οΈ Workhorse | 1M | 128K | $5.00 | $0.50 | $25.00 | claude-opus-5-5 |
| claude-opus-4-7 | π οΈ Workhorse | 1M | 128K | $5.00 | $0.50 | $25.00 | claude-opus-5-5 |
| claude-opus-4-6 | π οΈ Workhorse | 1M | 128K | $5.00 | $1.00 | $25.00 | claude-opus-5-5 |
| claude-haiku-4-5 | β‘ Fast | 200K | 64K | $1.00 | $0.10 | $5.00 | claude-haiku-5-5 |
| claude-fable-5 | π Frontier | 1M | 128K | $10.00 | $1.25 | $50.00 | claude-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.
- deepseek-v3.2
- gemini-3.1-flash-lite-preview
- gemini-3.1-pro-preview
- gpt-5-mini
- gpt-5.1-codex
- gpt-5.1-codex-max
- gpt-5.2-codex
- gpt-5.3-codex
- gpt-5.4
- gpt-5.4-mini
- gpt-5.4-nano
- gpt-5.5
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.
| Surface | Endpoint | What you build with it |
|---|---|---|
| Vibe coding | /chat/completions, /messages, /responses | Coding CLIs and IDE agents that drive the model themselves β Claude Code, Codex, OpenCode and friends. |
| Chat Completions | /chat/completions, /messages | Agent projects, where Vivgrid injects the model, system prompt and tools server-side, plus Model API calls that name the model per request. |
| Decisions | /systemone | Structured 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), Vivgridβs 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.
| Model | Acceleration Mode | Accelerated Regions |
|---|---|---|
| claude-fable-5-1 | β‘ Geo-Distributed | AMER, EMEA, APAC |
| claude-haiku-5-5 | β‘ Geo-Distributed | AMER, EMEA, APAC |
| claude-opus-5-5 | β‘ Geo-Distributed | AMER, EMEA, APAC |
| claude-opus-5 | β‘ Geo-Distributed | AMER, EMEA, APAC |
| claude-sonnet-5-5 | β‘ Geo-Distributed | AMER, EMEA, APAC |
| claude-sonnet-5 | β‘ Geo-Distributed | AMER, EMEA, APAC |
| decision-1 | β‘ Geo-Distributed | AMER, EMEA, APAC |
| deepseek-v4.1-flash | π Global (Centralized) | APAC |
| deepseek-v4-pro | π Global (Centralized) | APAC |
| gemini-4-argon | π Global (Centralized) | β |
| gemini-3.8-flash | π Global (Centralized) | β |
| gemini-nano-banana-2.1 | π Global (Centralized) | β |
| gemini-3-pro-image | π Global (Centralized) | β |
| glm-5.3 | π Global (Centralized) | APAC |
| glm-5.3-flash | π Global (Centralized) | APAC |
| gpt-6-astra | β‘ Geo-Distributed | AMER, EMEA, APAC |
| gpt-image-2.5-flare | π Global (Centralized) | EMEA |
| gpt-image-2.5-sunburst | π Global (Centralized) | EMEA |
| gpt-6-luna | β‘ Geo-Distributed | AMER, EMEA, APAC |
| gpt-6.1-sol | β‘ Geo-Distributed | AMER, EMEA, APAC |
| gpt-6-sol | β‘ Geo-Distributed | AMER, EMEA, APAC |
| gpt-6.1-terra New | β‘ Geo-Distributed | AMER, EMEA, APAC |
| jev | π Global (Centralized) | AMER |
| kimi-k3 | π Global (Centralized) | APAC |
| kimi-k2.8-preview | π Global (Centralized) | APAC |
| minimax-m3 | π Global (Centralized) | APAC |
| viv-fast | β‘ Geo-Distributed | AMER, EMEA, APAC |
Key Highlights
- Dynamic Routing β Vivgrid automatically detects the userβs 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 providerβs Global Standard endpoint, limiting VivGridβs ability to perform regional acceleration.
In contrast, Geo-Distributed models (e.g., gpt-5.6-sol,claude-opus-5) leverage Vivgridβs orchestration layer β delivering sub-50 ms latency worldwide through intelligent regional acceleration.
Comparing Vivgrid with other platforms? See Vivgrid vs. Alternatives.