gemini-3-pro
replicate · chat model
gemini-3-pro is listed here as a chat model from replicate. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
$2.0000 / 1M tokens
Output
$12.0000 / 1M tokens
Cached input
N/A
Context
N/A
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 | $2.0000 / 1M tokens |
| Output | $12.0000 / 1M tokens |
| Embedding | $2.0000 / 1M tokens |
Token limits
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 | 37.5% (no tools) | accuracy | Base model: Gemini 3 Pro (Gemini 3 Pro Thinking (High)) | 2026-05-31 | Link |
| ARC-AGI-2 | 31.1% | accuracy | Base model: Gemini 3 Pro (Gemini 3 Pro Thinking (High)) | 2026-05-31 | Link |
| GPQA Diamond | 91.9% | accuracy | Base model: Gemini 3 Pro (Gemini 3 Pro Thinking (High)) | 2026-05-31 | Link |
| Terminal-Bench 2.0 | 56.9% | accuracy | Base model: Gemini 3 Pro (Gemini 3 Pro Thinking (High)) | 2026-05-31 | Link |
| SWE-bench Verified | 76.2% (single attempt) | accuracy | Base model: Gemini 3 Pro (Gemini 3 Pro Thinking (High)) | 2026-05-31 | Link |
| LiveCodeBench Pro | 2439 Elo | Elo | Base model: Gemini 3 Pro (Gemini 3 Pro Thinking (High)) | 2026-05-31 | Link |
| MMMU-Pro | 81.0% | accuracy | Base model: Gemini 3 Pro (Gemini 3 Pro Thinking (High)) | 2026-05-31 | Link |
| MRCR v2 | 77.0% (128k average) | accuracy | Base model: Gemini 3 Pro (Gemini 3 Pro Thinking (High)) | 2026-05-31 | Link |
| MRCR v2 | 26.3% (1M pointwise) | accuracy | Base model: Gemini 3 Pro (Gemini 3 Pro Thinking (High)) | 2026-05-31 | Link |
| SWE-bench Verified | 69.60% | % resolved | Base model: Gemini 3 Pro (Gemini 3 Pro) | 2026-05-31 | Link |
| LMArena Text Arena (English) | 1489±5 | Arena Elo | Base model: Gemini 3 Pro (gemini-3-pro) | 2026-05-31 | Link |
| MMLU-Pro | 89.8% | accuracy | Base model: Gemini 3 Pro Preview (Gemini 3 Pro Preview (high)) | 2026-05-31 | Link |
| MMLU-Pro | 89.5% | accuracy | Base model: Gemini 3 Pro Preview (Gemini 3 Pro Preview (low)) | 2026-05-31 | Link |
Sources
| Source links | |
| Pricing data | LiteLLM model cost map |
| Synced at | 2026-05-28 |
Docs
| Official docs |
Similar models
This list is ranked by overall similarity. Use filters to emphasize the lens that matters most for the replacement you are making.
Comparing from
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| gemini-3-pro replicate | In $2.0000 / 1M tokens Out $12.0000 / 1M tokens | audioimagepdftextvideo
Output: text | VisionFunction callingParallel function callingTool choice | N/A | Current model Reference row |
| 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 | Text + image covered Overall 73% |
| 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 70% |
| 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 70% |
| gemini-2.5-flash replicate | In $2.5000 / 1M tokens Out $2.5000 / 1M tokens | audioimagepdftextvideo
Output: text | VisionFunction callingParallel function callingTool choice | N/A | Same provider Overall 70% |
| 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 70% |
| 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 70% |
| gpt-4.1 replicate | In $2.0000 / 1M tokens Out $8.0000 / 1M tokens | audioimagepdftextvideo
Output: text | VisionFunction callingParallel function callingTool choice | N/A | Same provider Overall 67% |
| gpt-5 replicate | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens | audioimagepdftextvideo
Output: text | VisionFunction callingParallel function callingTool choice | N/A | Same provider Overall 65% |
| 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 65% |
| 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 65% |
| claude-4-sonnet replicate | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | audioimagepdftextvideo
Output: text | VisionFunction callingParallel function callingTool choice | N/A | Same provider Overall 62% |
| claude-3.7-sonnet replicate | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | audioimagepdftextvideo
Output: text | VisionFunction callingParallel function callingTool choice | N/A | Same provider Overall 62% |
| claude-4.5-sonnet replicate | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | audioimagepdftextvideo
Output: text | VisionFunction callingParallel function callingTool choice | N/A | Same provider Overall 62% |
| qwen3-vl-235b-a22b-instruct novita | In $0.3000 / 1M tokens Out $1.5000 / 1M tokens | audioimagepdftextvideo
Output: text | VisionFunction callingParallel function callingTool choice | 32.8K | Text + image covered Overall 58% |
| gpt-4.1-mini replicate | In $0.4000 / 1M tokens Out $1.6000 / 1M tokens | audioimagepdftextvideo
Output: text | VisionFunction callingParallel function callingTool choice | N/A | Same provider Overall 54% |
| gpt-5-mini replicate | In $0.2500 / 1M tokens Out $2.0000 / 1M tokens | audioimagepdftextvideo
Output: text | VisionFunction callingParallel function callingTool choice | N/A | Same provider Overall 54% |
| gemini-2.5-pro github_copilot | In N/A Out N/A | audioimagepdftextvideo
Output: text | VisionFunction callingParallel function calling | 64.0K | Text + image covered Overall 53% |
| gemini-3-pro-preview github_copilot | In N/A Out N/A | audioimagepdftextvideo
Output: text | VisionFunction callingParallel function calling | 64.0K | Text + image covered Overall 53% |
| gemini-3-pro-preview Vertex AI | In $2.0000 / 1M tokens Out $12.0000 / 1M tokens | audioimagepdftextvideo
Output: text | VisionFunction callingTool choiceResponse schema | 65.5K | Partial I/O overlap Overall 46% Missing text, image |
| gemini-3.1-pro-preview Vertex AI | In $2.0000 / 1M tokens Out $12.0000 / 1M tokens | audioimagepdftextvideo url
Output: text | VisionFunction callingTool choiceResponse schema | 65.5K | Partial I/O overlap Overall 46% Missing text, image |
| gemini-3.1-pro-preview-customtools Vertex AI | In $2.0000 / 1M tokens Out $12.0000 / 1M tokens | audioimagepdftextvideo url
Output: text | VisionFunction callingTool choiceResponse schema | 65.5K | Partial I/O overlap Overall 46% Missing text, image |
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