gemini-2.5-pro
vercel_ai_gateway · chat model
gemini-2.5-pro is listed here as a chat model from vercel_ai_gateway. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
$2.5000 / 1M tokens
Output
$10.0000 / 1M tokens
Cached input
N/A
Context
65.5K
Quick read
Best for
Use this page when you need a fast view of cost, context size, and supported features before testing the model in your own workload.
Things to verify
Always check the provider page for discounts, cache pricing, region rules, and any model limits that may not appear in public metadata.
Pricing
| Item | Price |
|---|---|
| Input | $2.5000 / 1M tokens |
| Output | $10.0000 / 1M tokens |
| Embedding | $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 | ✅ |
| Function calling | ✅ |
| Parallel function calling | — |
| Tool choice | ✅ |
| Prompt caching | — |
| Reasoning | — |
| Response schema | ✅ |
| System messages | — |
| Audio input | — |
| Audio output | — |
| Web search | — |
| PDF input | — |
| Video input | — |
Benchmarks
Most benchmark rows are attached to the base model family rather than this provider route. Open benchmark explorer
| Benchmark | Score | Metric | Scope | Checked | Source |
|---|---|---|---|---|---|
| Humanity's Last Exam | 21.6% (no tools) | accuracy | Base model: Gemini 2.5 Pro (Gemini 2.5 Pro (GA)) | 2026-05-31 | Link |
| GPQA Diamond | 86.4% pass@1 | pass@1 | Base model: Gemini 2.5 Pro (Gemini 2.5 Pro (GA)) | 2026-05-31 | Link |
| AIME 2025 | 88.0% pass@1 | pass@1 | Base model: Gemini 2.5 Pro (Gemini 2.5 Pro (GA)) | 2026-05-31 | Link |
| LiveCodeBench | 69.0% (single attempt) | accuracy | Base model: Gemini 2.5 Pro (Gemini 2.5 Pro (GA)) | 2026-05-31 | Link |
| Aider Polyglot | 82.2% diff-fenced | pass rate | Base model: Gemini 2.5 Pro (Gemini 2.5 Pro (GA)) | 2026-05-31 | Link |
| SWE-bench Verified | 59.6% (single attempt) | accuracy | Base model: Gemini 2.5 Pro (Gemini 2.5 Pro (GA)) | 2026-05-31 | Link |
| Aider Polyglot | 82.2% | pass rate | Base model: Gemini 2.5 Pro (gemini-2.5-pro) | 2026-05-31 | Link |
| SWE-bench Verified (multiple attempts) | 67.2% | accuracy | Base model: Gemini 2.5 Pro (gemini-2.5-pro) | 2026-05-31 | Link |
| GPQA | 86.4% | accuracy | Base model: Gemini 2.5 Pro (gemini-2.5-pro) | 2026-05-31 | Link |
| AIME 2025 | 88.0% | accuracy | Base model: Gemini 2.5 Pro (gemini-2.5-pro) | 2026-05-31 | Link |
| Aider Polyglot | 79.1% | percent correct | Base model: Gemini 2.5 Pro Preview (gemini/gemini-2.5-pro-preview-06-05) | 2026-05-31 | Link |
| Aider Polyglot | 76.9% | percent correct | Base model: Gemini 2.5 Pro Preview (gemini/gemini-2.5-pro-preview-05-06) | 2026-05-31 | Link |
Sources
| Source links | |
| Pricing data | LiteLLM model cost map |
| Synced at | 2026-05-28 |
Docs
| Official docs |
Similar models
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Comparing from
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| gemini-2.5-pro vercel_ai_gateway | In $2.5000 / 1M tokens Out $10.0000 / 1M tokens | audioimagepdftextvideo
Output: text | VisionFunction callingTool choiceResponse schema | 65.5K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| gemini-3-pro-preview vertex_ai-language-models | In $2.0000 / 1M tokens Out $12.0000 / 1M tokens | audioimagepdftextvideo
Output: text | VisionFunction callingTool choiceResponse schema | 65.5K | Text + image covered Overall 80% |
| gemini-3-pro-preview Google | In $2.0000 / 1M tokens Out $12.0000 / 1M tokens | audioimagepdftextvideo
Output: text | VisionFunction callingTool choiceResponse schema | 65.5K | Text + image covered Overall 80% |
| gemini-3.1-pro-preview vertex_ai-language-models | In $2.0000 / 1M tokens Out $12.0000 / 1M tokens | audioimagepdftextvideo url
Output: text | VisionFunction callingTool choiceResponse schema | 65.5K | Text + image covered Overall 80% |
| gemini-3.1-pro-preview-customtools vertex_ai-language-models | In $2.0000 / 1M tokens Out $12.0000 / 1M tokens | audioimagepdftextvideo url
Output: text | VisionFunction callingTool choiceResponse schema | 65.5K | Text + image covered Overall 80% |
| gemini-3.1-pro-preview Google | In $2.0000 / 1M tokens Out $12.0000 / 1M tokens | audioimagepdftextvideo url
Output: text | VisionFunction callingTool choiceResponse schema | 65.5K | Text + image covered Overall 80% |
| gemini-3.1-pro-preview-customtools Google | In $2.0000 / 1M tokens Out $12.0000 / 1M tokens | audioimagepdftextvideo url
Output: text | VisionFunction callingTool choiceResponse schema | 65.5K | Text + image covered Overall 80% |
| gemini-2.5-pro vertex_ai-language-models | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens | audioimagepdftextvideo
Output: text | VisionFunction callingTool choiceResponse schema | 65.5K | Text + image covered Overall 80% |
| gemini-2.5-pro Google | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens | audioimagepdftextvideo
Output: text | VisionFunction callingTool choiceResponse schema | 65.5K | Text + image covered Overall 80% |
| gemini-2.5-flash vercel_ai_gateway | In $0.3000 / 1M tokens Out $2.5000 / 1M tokens | audioimagepdftextvideo
Output: text | VisionFunction callingTool choiceResponse schema | 65.5K | Same provider Overall 79% |
| claude-3.7-sonnet vercel_ai_gateway | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | audioimagepdftextvideo file
Output: text | VisionFunction callingTool choiceResponse schema | 64.0K | Same provider Overall 78% |
| openai vercel_ai_gateway | In $2.0000 / 1M tokens Out $8.0000 / 1M tokens | audioimagepdftextvideo
Output: text | VisionFunction callingTool choiceResponse schema | 100.0K | Same provider Overall 76% |
| gpt-4o vercel_ai_gateway | In $2.5000 / 1M tokens Out $10.0000 / 1M tokens | audioimagepdftextvideo
Output: text | VisionFunction callingTool choiceResponse schema | 16.4K | Same provider Overall 74% |
| gpt-4.1 vercel_ai_gateway | In $2.0000 / 1M tokens Out $8.0000 / 1M tokens | audioimagepdftextvideo
Output: text | VisionFunction callingTool choiceResponse schema | 32.8K | Same provider Overall 74% |
| gemini-3-pro replicate | In $2.0000 / 1M tokens Out $12.0000 / 1M tokens | audioimagepdftextvideo
Output: text | VisionFunction callingTool choiceResponse schema | N/A | Text + image covered Overall 73% |
| magistral-medium vercel_ai_gateway | In $2.0000 / 1M tokens Out $5.0000 / 1M tokens | audioimagepdftextvideo
Output: text | Function callingTool choiceResponse schema | 64.0K | Same provider Overall 72% |
| gpt-4o-2024-11-20 Azure | In $2.5000 / 1M tokens Out $10.0000 / 1M tokens | audioimagepdftextvideo
Output: text | VisionFunction callingTool choiceResponse schema | 16.4K | Text + image covered Overall 69% |
| anthropic.claude-3-5-sonnet-20240620-v1:0 Bedrock | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | audioimagepdftextvideo
Output: text | VisionFunction callingTool choiceResponse schema | 4.1K | Text + image covered Overall 66% |
| gpt-4o-2024-08-06 Azure | In $2.5000 / 1M tokens Out $10.0000 / 1M tokens | audioimagepdftextvideo
Output: text | VisionFunction callingTool choiceResponse schema | 16.4K | Text + image covered Overall 66% |
| gpt-4o-2024-08-06 Azure | In $2.5000 / 1M tokens Out $10.0000 / 1M tokens | audioimagepdftextvideo
Output: text | VisionFunction callingTool choiceResponse schema | 16.4K | Text + image covered Overall 66% |
| gpt-4o-2024-11-20 Azure | In $2.5000 / 1M tokens Out $10.0000 / 1M tokens | audioimagepdftextvideo
Output: text | VisionFunction callingTool choiceResponse schema | 16.4K | Text + image covered Overall 66% |
| claude-3.5-sonnet vercel_ai_gateway | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | audioimagepdftextvideo file
Output: text | VisionFunction callingTool choiceResponse schema | 8.2K | Same provider Overall 66% |
| gemini-2.5-pro github_copilot | In N/A Out N/A | audioimagepdftextvideo
Output: text | VisionFunction calling | 64.0K | Text + image covered Overall 65% |
| gemini-3-pro-preview github_copilot | In N/A Out N/A | audioimagepdftextvideo
Output: text | VisionFunction calling | 64.0K | Text + image covered Overall 65% |
| us.writer.palmyra-x4-v1:0 bedrock_converse | In $2.5000 / 1M tokens Out $10.0000 / 1M tokens | audioimagepdftextvideo
Output: text | Function calling | 8.2K | Partial I/O overlap Overall 48% Missing image |
| writer.palmyra-x4-v1:0 bedrock_converse | In $2.5000 / 1M tokens Out $10.0000 / 1M tokens | audioimagepdftextvideo
Output: text | Function calling | 8.2K | Partial I/O overlap Overall 48% Missing image |
No models match this filter.