gemini-2.5-pro
vercel_ai_gateway · chat model
Input
$2.5000 / 1M tokens
Output
$10.0000 / 1M tokens
Cached input
N/A
Context
65.5K
Pricing
| Item | Raw value (per token) | Normalized |
|---|---|---|
| Input | 0.0000025 | $2.5000 / 1M tokens |
| Output | 0.00001 | $10.0000 / 1M tokens |
| Embedding | 0.0000025 | $2.5000 / 1M tokens |
Token limits
Context window
65.5K
Max input tokens
1.0M
Max output tokens
65.5K
Max tokens
65.5K
Capabilities
| Capability | Supported |
|---|---|
| Vision | Yes |
| Function calling | Yes |
| Parallel function calling | No |
| Tool choice | Yes |
| Prompt caching | No |
| Reasoning | No |
| Response schema | Yes |
| System messages | No |
| Audio input | No |
| Audio output | No |
| Web search | No |
| PDF input | No |
| Video input | No |
Similar models
Models with comparable pricing in the same mode (chat).
| Model | Provider | Input | Output | Context | Coding | Features |
|---|---|---|---|---|---|---|
| us.writer.palmyra-x4-v1:0 | bedrock_converse | $2.5000 / 1M tokens | $10.0000 / 1M tokens | 8.2K | N/A | Tools |
| writer.palmyra-x4-v1:0 | bedrock_converse | $2.5000 / 1M tokens | $10.0000 / 1M tokens | 8.2K | N/A | Tools |
| gpt-4o-2024-08-06 | Azure | $2.5000 / 1M tokens | $10.0000 / 1M tokens | 16.4K | N/A | Vision Tools Cache |
| gpt-4o-2024-11-20 | Azure | $2.5000 / 1M tokens | $10.0000 / 1M tokens | 16.4K | N/A | Vision Tools |
| gpt-4o-2024-08-06 | Azure | $2.5000 / 1M tokens | $10.0000 / 1M tokens | 16.4K | N/A | Vision Tools Cache |
| gpt-4o-2024-11-20 | Azure | $2.5000 / 1M tokens | $10.0000 / 1M tokens | 16.4K | N/A | Vision Tools Cache |
Sources
| Pricing source | LiteLLM model cost map |
| Synced at | 2026-05-27 |
| Manual review | Not reviewed |
Raw LiteLLM fields
{
"input_cost_per_token": 0.0000025,
"litellm_provider": "vercel_ai_gateway",
"max_input_tokens": 1048576,
"max_output_tokens": 65536,
"max_tokens": 65536,
"mode": "chat",
"output_cost_per_token": 0.00001,
"supports_vision": true,
"supports_function_calling": true,
"supports_tool_choice": true,
"supports_response_schema": true
}