gemini-3-pro-preview
gmi · chat model
gemini-3-pro-preview is listed here as a chat model from gmi. 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
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 | $2.0000 / 1M tokens |
| Output | $12.0000 / 1M tokens |
| Embedding | $2.0000 / 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 | 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 |
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-preview gmi | In $2.0000 / 1M tokens Out $12.0000 / 1M tokens |
Output: unknown | VisionFunction calling | 65.5K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| claude-sonnet-4.5 gmi | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens |
Output: unknown | VisionFunction calling | 32.0K | Same provider Overall 47% |
| claude-sonnet-4 gmi | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens |
Output: unknown | VisionFunction calling | 32.0K | Same provider Overall 47% |
| google.gemini-2.5-pro oci | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens |
Output: unknown | VisionFunction calling | 65.5K | Partial I/O overlap Overall 46% |
| gpt-4o gmi | In $2.5000 / 1M tokens Out $10.0000 / 1M tokens |
Output: unknown | VisionFunction calling | 16.4K | Same provider Overall 45% |
| gemini-3-flash-preview gmi | In $0.5000 / 1M tokens Out $3.0000 / 1M tokens |
Output: unknown | VisionFunction calling | 65.5K | Same provider Overall 45% |
| gemini-2.5-pro vercel_ai_gateway | In $2.5000 / 1M tokens Out $10.0000 / 1M tokens | audioimage
Output: text | VisionFunction calling | 65.5K | Partial I/O overlap Overall 44% |
| claude-opus-4.5 gmi | In $5.0000 / 1M tokens Out $25.0000 / 1M tokens |
Output: unknown | VisionFunction calling | 32.0K | Same provider Overall 41% |
| gemini-3-pro-preview vertex_ai-language-models | In $2.0000 / 1M tokens Out $12.0000 / 1M tokens | audioimage
Output: text | VisionFunction calling | 65.5K | Partial I/O overlap Overall 40% |
| gemini-3-pro-preview Vertex AI | In $2.0000 / 1M tokens Out $12.0000 / 1M tokens | pdf
Output: text | VisionFunction calling | 65.5K | Partial I/O overlap Overall 40% |
| gemini-3.1-pro-preview vertex_ai-language-models | In $2.0000 / 1M tokens Out $12.0000 / 1M tokens | audioimage
Output: text | VisionFunction calling | 65.5K | Partial I/O overlap Overall 39% |
| gemini-3.1-pro-preview-customtools vertex_ai-language-models | In $2.0000 / 1M tokens Out $12.0000 / 1M tokens | audioimage
Output: text | VisionFunction calling | 65.5K | Partial I/O overlap Overall 39% |
| gemini-3.1-pro-preview Vertex AI | In $2.0000 / 1M tokens Out $12.0000 / 1M tokens | pdfurl
Output: text | VisionFunction calling | 65.5K | Partial I/O overlap Overall 39% |
| gemini-3.1-pro-preview-customtools Vertex AI | In $2.0000 / 1M tokens Out $12.0000 / 1M tokens | pdfurl
Output: text | VisionFunction calling | 65.5K | Partial I/O overlap Overall 39% |
| gpt-5.2 gmi | In $1.7500 / 1M tokens Out $14.0000 / 1M tokens |
Output: unknown | Function calling | 32.0K | Same provider Overall 37% |
| meta.llama3-2-90b-instruct-v1:0 Bedrock | In $2.0000 / 1M tokens Out $2.0000 / 1M tokens | imagetext
Output: text | VisionFunction calling | 4.1K | Partial I/O overlap Overall 37% |
| meta.llama-3.2-90b-vision-instruct oci | In $2.0000 / 1M tokens Out $2.0000 / 1M tokens |
Output: unknown | VisionFunction calling | 4.0K | Partial I/O overlap Overall 37% |
| meta.llama-3.2-11b-vision-instruct oci | In $2.0000 / 1M tokens Out $2.0000 / 1M tokens |
Output: unknown | VisionFunction calling | 4.0K | Partial I/O overlap Overall 37% |
| claude-opus-4 gmi | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens |
Output: unknown | VisionFunction calling | 32.0K | Same provider Overall 35% |
| gpt-4o-mini gmi | In $0.1500 / 1M tokens Out $0.6000 / 1M tokens |
Output: unknown | VisionFunction calling | 16.4K | Same provider Overall 30% |
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