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Models
All AI models supported by Vivgrid — including GPT-5, Claude Opus/Sonnet, Gemini, and DeepSeek variants for coding, text, speech, and multimodal workloads.
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. Pricing is transparent and, for most models, matches the rates of the original providers.
Supported Models
Coding Models
viv-fastNewjev-latestNewgpt-6-astraNewclaude-fable-5-1Newdeepseek-v4.1-flashNewgemini-3.8-flashkimi-k2.8-previewclaude-fable-5deepseek-v4-pro-0813glm-5.3-flashdeepseek-v4-flash-vision-expdeepseek-v4-flash (0731)gemini-3.7-flashglm-5.3gemini-3.6-flashclaude-opus-5kimi-k3gpt-5.6-solgpt-5.6-terraclaude-opus-4.8claude-sonnet-5gpt-5.5glm-5.2claude-opus-4.7claude-opus-4.6claude-sonnet-4.6claude-haiku-4.5gemini-3.1-pro-previewgpt-5.4gpt-5.3-codexgpt-5.2-codexgpt-5.1-codex-maxgpt-5.1-codexglm-5.1kimi-k2.6minimax-m2.7minimax-m3
Agent Models
viv-fastNewgpt-6-astraNewclaude-fable-5-1Newdeepseek-v4.1-flashNewgemini-3.8-flashkimi-k2.8-previewclaude-fable-5deepseek-v4-pro-0813deepseek-v4-flash-vision-expdeepseek-v4-flash (0731)gemini-3.7-flashgemini-3.6-flashclaude-opus-5kimi-k3gpt-5.6-solgpt-5.6-terragpt-5.6-lunagemini-3.5-flashgpt-5.5deepseek-v4-progpt-5.4gpt-5.4-minigpt-5.4-nanogemini-3.1-pro-previewgemini-3.1-flash-lite-previewgpt-5.2gpt-5.1gpt-5gpt-5-minigemini-3-pro-previewgemini-3-flash-previewglm-5.1kimi-k2.6minimax-m3
Image Models
Decision Models
jev-latestNew
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.
Pricing
Pricing is calculated in USD per 1 million tokens. The table below details the cost for input, cached, and output tokens for each model.
Image generation models bill generated images as output tokens at their own rate; the gpt-image-2.5 models also price image inputs separately from text. See gemini-3-pro-image and gemini-3.1-flash-image for the per-image token conversion at each resolution.
| Model | Input Token | Cached Token | Output Token |
|---|---|---|---|
| viv-fast New | $0.13 | $0.05 | $0.40 |
| jev-latest New | $0.084 | - | $0.00 |
| gpt-image-2.5-flare | $8.00 (text) $8.00 (image) | $1.25 (text) $3.00 (image) | $0.00 (text) $33.00 (image) |
| gpt-image-2.5-sunburst | $8.00 (text) $8.00 (image) | $1.25 (text) $3.00 (image) | $0.00 (text) $33.00 (image) |
| gpt-6-astra New | $10.00 (<= 272k tokens) $20.00 (> 272k tokens) | $1.00 (<= 272k tokens) $2.00 (> 272k tokens) | $50.00 (<= 272k tokens) $75.00 (> 272k tokens) |
| claude-fable-5-1 New | $10.00 | $0.50 | $50.00 |
| gemini-3.8-flash | $0.75 | $0.15 | $3.75 |
| kimi-k2.8-preview | $1.00 | $0.26 | $4.15 |
| deepseek-v4.1-flash New | $0.31 | $0.01 | $1.23 |
| claude-fable-5 | $10.00 | $1.25 | $50.00 |
| glm-5.3-flash | $0.15 | $0.04 | $0.50 |
| deepseek-v4-pro-0813 | $1.35 | $0.05 | $3.00 |
| deepseek-v4-flash-vision-exp | $0.44 | $0.044 | $1.32 |
| deepseek-v4-flash (0731) | $0.44 | $0.044 | $1.32 |
| gemini-3.7-flash | $0.75 | $0.075 | $3.75 |
| glm-5.3 | $1.20 | $0.30 | $4.20 |
| gemini-3.6-flash | $0.75 | $0.075 | $3.75 |
| gemini-3-pro-image | $2.00 | $0.20 | $12.00 (text) $120.00 (image) |
| gemini-3.1-flash-image | $0.50 | $0.05 | $3.00 (text) $60.00 (image) |
| claude-opus-5 | $5.00 | $0.50 | $25.00 |
| kimi-k3 | $3.00 | $0.30 | $15.00 |
| gpt-5.6-sol | $5.00 (<= 272k tokens) $10.00 (> 272k tokens) | $0.50 (<= 272k tokens) $1.00 (> 272k tokens) | $30.00 (<= 272k tokens) $45.00 (> 272k tokens) |
| gpt-5.6-terra | $2.50 (<= 272k tokens) $5.00 (> 272k tokens) | $0.25 (<= 272k tokens) $0.50 (> 272k tokens) | $15.00 (<= 272k tokens) $22.50 (> 272k tokens) |
| gpt-5.6-luna | $1.00 (<= 272k tokens) $2.00 (> 272k tokens) | $0.10 (<= 272k tokens) $0.20 (> 272k tokens) | $6.00 (<= 272k tokens) $9.00 (> 272k tokens) |
| claude-sonnet-5 | $2.00 | $0.20 | $10.00 |
| claude-opus-4.8 | $5.00 | $0.50 | $25.00 |
| glm-5.2 | $1.20 | $0.30 | $4.20 |
| minimax-m3 | $0.32 (<= 512k tokens) $0.67 (> 512k tokens) | $0.07 (<= 512k tokens) $0.13 (> 512k tokens) | $1.28 (<= 512k tokens) $2.55 (> 512k tokens) |
| gemini-3.5-flash | $1.50 | $0.15 | $9.00 |
| kimi-k2.6 | $1.00 | $0.20 | $4.10 |
| glm-5.1 | $0.91 (<= 32k tokens) $1.22 (> 32k tokens) | $0.20 (<= 32k tokens) $0.31 (> 32k tokens) | $3.64 (<= 32k tokens) $4.25 (> 32k tokens) |
| minimax-m2.7 | $0.32 | $0.07 | $1.28 |
| deepseek-v4-pro | $1.80 | $0.30 | $3.50 |
| gpt-5.5 | $5.00 (<= 272k tokens) $10.00 (> 272k tokens) | $0.50 (<= 272k tokens) $1.00 (> 272k tokens) | $30.00 (<= 272k tokens) $45.00 (> 272k tokens) |
| gpt-5.4 | $2.50 (<= 272k tokens) $5.00 (> 272k tokens) | $0.25 (<= 272k tokens) $0.50 (> 272k tokens) | $15.00 (<= 272k tokens) $22.50 (> 272k tokens) |
| gpt-5.4-mini | $0.75 | $0.075 | $4.50 |
| gpt-5.4-nano | $0.20 | $0.02 | $1.25 |
| gemini-3.1-flash-lite-preview | $0.25 | $0.025 | $1.50 |
| gemini-3.1-pro-preview | $2.00 (<= 200k tokens) $4.00 (> 200k tokens) | $0.20 (<= 200k tokens) $0.40 (> 200k tokens) | $12.00 (<= 200k tokens) $18.00 (> 200k tokens) |
| claude-opus-4.7 | $5.00 | $0.50 | $25.00 |
| claude-opus-4.6 | $5.00 | $0.50 | $25.00 |
| claude-sonnet-4.6 | $3.00 | $0.30 | $15.00 |
| claude-haiku-4.5 | $1.00 | $0.10 | $5.00 |
| gpt-5.3-codex | $1.75 | $0.18 | $14.00 |
| gpt-5.2-codex | $1.75 | $0.18 | $14.00 |
| gpt-5.1-codex-max | $1.25 | $0.13 | $10.00 |
| gpt-5.1-codex | $1.25 | $0.13 | $10.00 |
| gpt-5.2 | $1.75 | $0.18 | $14.00 |
| gpt-5.1 | $1.25 | $0.125 | $10.00 |
| gpt-5 | $1.25 | $0.125 | $10.00 |
| gpt-5-mini | $0.25 | $0.03 | $2.00 |
| gpt-5.1 | $1.25 | $0.125 | $10.00 |
| gemini-3-pro-preview | $2.00 | $0.40 | $12.00 |
| gemini-3-flash-preview | $0.50 | $0.05 | $3.00 |
| gemini-2.5-pro | $1.25 (<= 200k tokens) $2.50 (> 200k tokens) | $0.125 (<= 200k tokens) $0.25 (> 200k tokens) | $10.00 (<= 200k tokens) $15.00 (> 200k tokens) |
| gemini-2.5-flash | $0.30 | $0.03 | $2.50 |
| deepseek-v3.2 | $0.30 | $0.06 | $0.45 |
| kimi-k2.5 | $1.25 | $0.125 | $10.00 |
| glm-5 | $1.00 | $0.10 | $3.20 |
| gpt-4.1 | $2.00 | $0.50 | $8.00 |
| gpt-4o | $2.50 | $1.25 | $10.00 |
| deepseek-r1 | $1.35 | - | $5.40 |
| deepseek-v3.1 | $1.14 | - | $4.56 |
Capabilities
| Model | Context Window | Max Output Tokens | Tool Call |
|---|---|---|---|
| viv-fast New | 1,000,000 | 256,000 | Yes |
| jev-latest New | 64,000 | — | No |
| gpt-6-astra New | 1,050,000 | 128,000 | Yes |
| claude-fable-5-1 New | 1,000,000 | 128,000 | Yes |
| gemini-3.8-flash | 1,000,000 | 128,000 | Yes |
| kimi-k2.8-preview | 1,000,000 | — | Yes |
| deepseek-v4.1-flash New | 1,000,000 | 384,000 | Yes |
| gpt-image-2.5-flare | — | — | No |
| gpt-image-2.5-sunburst | — | — | No |
| claude-fable-5 | 1,000,000 | 128,000 | Yes |
| glm-5.3-flash | 1,000,000 | 384,000 | Yes |
| deepseek-v4-pro-0813 | 1,000,000 | 384,000 | Yes |
| deepseek-v4-flash-vision-exp | 1,000,000 | 384,000 | Yes |
| deepseek-v4-flash (0731) | 1,000,000 | 384,000 | Yes |
| gemini-3.7-flash | 1,000,000 | 64,000 | Yes |
| glm-5.3 | 1,000,000 | 128,000 | Yes |
| gemini-3.6-flash | 1,000,000 | 64,000 | Yes |
| gemini-3-pro-image | 65,536 | 32,768 | No |
| gemini-3.1-flash-image | 131,072 | 32,768 | No |
| claude-opus-5 | 1,000,000 | 128,000 | Yes |
| kimi-k3 | 1,000,000 | 128,000 | Yes |
| gpt-5.6-sol | 1,050,000 | 128,000 | Yes |
| gpt-5.6-terra | 1,050,000 | 128,000 | Yes |
| gpt-5.6-luna | 1,050,000 | 128,000 | Yes |
| claude-sonnet-5 | 1,000,000 | 128,000 | Yes |
| claude-opus-4.8 | 1,000,000 | 128,000 | Yes |
| glm-5.2 | 1,000,000 | 128,000 | Yes |
| minimax-m3 | 512,000 | 128,000 | Yes |
| gemini-3.5-flash | 1,000,000 | 65,536 | Yes |
| kimi-k2.6 | 256,000 | 256,000 | Yes |
| glm-5.1 | 200,000 | 128,000 | Yes |
| minimax-m2.7 | 204,800 | 131,072 | Yes |
| deepseek-v4-pro | 1,000,000 | 384,000 | Yes |
| gpt-5.5 | 1,050,000 | 128,000 | Yes |
| gpt-5.4 | 1,050,000 | 128,000 | Yes |
| gpt-5.4-mini | 400,000 | 128,000 | Yes |
| gpt-5.4-nano | 400,000 | 128,000 | Yes |
| gemini-3.1-flash-lite-preview | 1,048,576 | 65,536 | Yes |
| gemini-3.1-pro-preview | 1,048,576 | 65,536 | Yes |
| claude-opus-4.7 | 1,000,000 | 128,000 | Yes |
| claude-opus-4.6 | 200,000 | 128,000 | Yes |
| claude-sonnet-4.6 | 200,000 | 128,000 | Yes |
| gpt-5.3-codex | 400,000 | 128,000 | Yes |
| gpt-5.2-codex | 400,000 | 128,000 | Yes |
| gpt-5.1-codex-max | 400,000 | 128,000 | Yes |
| gpt-5.1-codex | 400,000 | 128,000 | Yes |
| gpt-5.2 | 400,000 | 128,000 | Yes |
| gpt-5.1 | 400,000 | 128,000 | Yes |
| gpt-5 | 400,000 | 128,000 | Yes |
| gpt-5-mini | 272,000 | 128,000 | Yes |
| deepseek-v3.2 | 128,000 | 128,000 | Yes |
| gemini-3-pro-preview | 1,000,000 | 64,000 | Yes |
| gemini-3-flash-preview | 1,000,000 | 64,000 | Yes |
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 — 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.
| Model | Acceleration Mode | Accelerated Regions |
|---|---|---|
| viv-fast New | ⚡ Geo-Distributed | AMER, EMEA, APAC |
| jev-latest New | 🌐 Global (Centralized) | AMER |
| gpt-6-astra New | ⚡ Geo-Distributed | AMER, EMEA, APAC |
| claude-fable-5-1 New | ⚡ Geo-Distributed | AMER, EMEA, APAC |
| gpt-image-2.5-flare | 🌐 Global (Centralized) | EMEA |
| gpt-image-2.5-sunburst | 🌐 Global (Centralized) | EMEA |
| gemini-3.8-flash | 🌐 Global (Centralized) | — |
| kimi-k2.8-preview | 🌐 Global (Centralized) | APAC |
| deepseek-v4.1-flash New | 🌐 Global (Centralized) | APAC |
| claude-fable-5 | ⚡ Geo-Distributed | AMER, EMEA, APAC |
| glm-5.3-flash | 🌐 Global (Centralized) | APAC |
| deepseek-v4-pro-0813 | 🌐 Global (Centralized) | APAC |
| deepseek-v4-flash-vision-exp | 🌐 Global (Centralized) | APAC |
| deepseek-v4-flash (0731) | 🌐 Global (Centralized) | APAC |
| gemini-3.7-flash | 🌐 Global (Centralized) | — |
| glm-5.3 | 🌐 Global (Centralized) | APAC |
| gemini-3.6-flash | 🌐 Global (Centralized) | — |
| gemini-3-pro-image | 🌐 Global (Centralized) | — |
| gemini-3.1-flash-image | 🌐 Global (Centralized) | — |
| claude-opus-5 | ⚡ Geo-Distributed | AMER, EMEA, APAC |
| kimi-k3 | 🌐 Global (Centralized) | APAC |
| gpt-5.6-sol | ⚡ Geo-Distributed | AMER, EMEA |
| gpt-5.6-terra | ⚡ Geo-Distributed | AMER, EMEA |
| gpt-5.6-luna | ⚡ Geo-Distributed | AMER, EMEA |
| claude-sonnet-5 | ⚡ Geo-Distributed | AMER, EMEA, APAC |
| claude-opus-4.8 | ⚡ Geo-Distributed | AMER, EMEA, APAC |
| glm-5.2 | 🌐 Global (Centralized) | APAC |
| minimax-m3 | 🌐 Global (Centralized) | APAC |
| gemini-3.5-flash | 🌐 Global (Centralized) | - |
| kimi-k2.6 | 🌐 Global (Centralized) | APAC |
| glm-5.1 | 🌐 Global (Centralized) | APAC |
| minimax-m2.7 | 🌐 Global (Centralized) | APAC |
| deepseek-v4-pro | 🌐 Global (Centralized) | APAC |
| gpt-5.5 | ⚡ Geo-Distributed | AMER, EMEA |
| gpt-5.4 | ⚡ Geo-Distributed | AMER, EMEA, APAC |
| gpt-5.4-mini | ⚡ Geo-Distributed | AMER, EMEA, APAC |
| gpt-5.4-nano | ⚡ Geo-Distributed | AMER, EMEA |
| gemini-3.1-flash-lite-preview | 🌐 Global (Centralized) | - |
| gemini-3.1-pro-preview | 🌐 Global (Centralized) | — |
| claude-opus-4.7 | ⚡ Geo-Distributed | AMER, EMEA, APAC |
| claude-opus-4.6 | ⚡ Geo-Distributed | AMER, EMEA |
| claude-sonnet-4.6 | ⚡ Geo-Distributed | AMER, EMEA |
| claude-opus-4.5 | ⚡ Geo-Distributed | AMER, EMEA |
| gpt-5.3-codex | ⚡ Geo-Distributed | AMER, EMEA |
| gpt-5.2-codex | ⚡ Geo-Distributed | AMER, EMEA |
| gpt-5.1-codex-max | ⚡ Geo-Distributed | AMER, EMEA |
| gpt-5.1-codex | ⚡ Geo-Distributed | AMER, EMEA, APAC |
| gpt-5.2 | ⚡ Geo-Distributed | AMER, EMEA |
| gpt-5.1 | ⚡ Geo-Distributed | AMER, EMEA |
| gpt-5 | ⚡ Geo-Distributed | AMER, EMEA, APAC |
| gpt-5-mini | ⚡ Geo-Distributed | AMER, EMEA, APAC |
| gemini-2.5-pro | 🌐 Global (Centralized) | — |
| gemini-2.5-flash | 🌐 Global (Centralized) | — |
Key Highlights
- Dynamic Routing — Vivgrid automatically detects the user’s region and routes requests to the nearest accelerated node, minimizing cross-continent latency.
- Tool Synchronization — AI tools and context caches are replicated across all accelerated regions for consistent behavior.
- Adaptive Caching — Frequently accessed prompts and embeddings are regionally cached to reduce cold-start delays.
- Seamless Fallback — Traffic automatically re-routes to neighboring accelerated zones during high load or outages.
Notes on Global Models
For Global-only models (e.g., gemini-3.1-pro-preview), 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 — delivering sub-50 ms latency worldwide through intelligent regional acceleration.