gemini-2.5-pro-preview-tts
vertex_ai-language-models · chat model
gemini-2.5-pro-preview-tts is listed here as a chat model from vertex_ai-language-models. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
$1.2500 / 1M tokens
Output
$10.0000 / 1M tokens
Cached input
$0.1250 / 1M tokens
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 | $1.2500 / 1M tokens |
| Output | $10.0000 / 1M tokens |
| Cached input | $0.1250 / 1M tokens |
| Audio input | $0.7000 / 1M tokens |
| Embedding | $1.2500 / 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
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|---|---|---|---|---|---|
| gemini-2.5-pro-preview-tts vertex_ai-language-models | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens | text
Output: audio | VisionFunction callingParallel function callingTool choice | 65.5K | Current model Reference row |
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| gemini-2.5-pro-preview-tts Google | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens | text
Output: audio | VisionFunction callingTool choicePrompt caching | 65.5K | Text covered Overall 97% |
| qwen3-max novita | In $2.1100 / 1M tokens Out $8.4500 / 1M tokens | text
Output: text | Function callingParallel function callingTool choiceResponse schema | 65.5K | Text covered Overall 69% |
| o1-mini-2024-09-12 Azure | In $1.2100 / 1M tokens Out $4.8400 / 1M tokens | text
Output: text | Function callingParallel function callingPrompt caching | 65.5K | Text covered Overall 62% |
| o1-mini-2024-09-12 Azure | In $1.2100 / 1M tokens Out $4.8400 / 1M tokens | text
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| o1-mini Azure | In $1.2100 / 1M tokens Out $4.8400 / 1M tokens | text
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| global.anthropic.claude-sonnet-4-20250514-v1:0 bedrock_converse | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | text pdf
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| gemini-2.5-computer-use-preview-10-2025 vertex_ai-language-models | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens | text image
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| gpt-5 Azure | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens | text imagepdf
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| GPT-4.1 OpenAI | In $2.0000 / 1M tokens Out $8.0000 / 1M tokens | text imagepdf
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Output: text | VisionFunction callingTool choicePrompt caching | 65.5K | Same provider Overall 48% |
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Output: text | VisionFunction callingParallel function callingTool choice | 32.8K | Text covered Overall 46% |
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