gemini-3-pro-preview
github_copilot · chat model
gemini-3-pro-preview is listed here as a chat model from github_copilot. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
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 |
|---|
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.
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| gemini-3-pro-preview github_copilot | In N/A Out N/A | audioimagepdftextvideo
Output: text | VisionFunction callingParallel function calling | 64.0K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| gemini-2.5-pro github_copilot | In N/A Out N/A | audioimagepdftextvideo
Output: text | VisionFunction callingParallel function calling | 64.0K | Same provider Overall 80% |
| gemini-2.5-pro vercel_ai_gateway | In $2.5000 / 1M tokens Out $10.0000 / 1M tokens | audioimagepdftextvideo
Output: text | VisionFunction calling | 65.5K | Text + image covered Overall 65% |
| gemini-2.5-flash-lite vertex_ai-language-models | In $0.1000 / 1M tokens Out $0.4000 / 1M tokens | audioimagepdftextvideo url
Output: text | VisionFunction callingParallel function calling | 65.5K | Text + image covered Overall 61% |
| gemini-2.5-flash-lite-preview-09-2025 vertex_ai-language-models | In $0.1000 / 1M tokens Out $0.4000 / 1M tokens | audioimagepdftextvideo url
Output: text | VisionFunction callingParallel function calling | 65.5K | Text + image covered Overall 61% |
| gemini-2.5-flash-lite Google | In $0.1000 / 1M tokens Out $0.4000 / 1M tokens | audioimagepdftextvideo url
Output: text | VisionFunction callingParallel function calling | 65.5K | Text + image covered Overall 61% |
| gemini-2.5-flash-lite-preview-09-2025 Google | In $0.1000 / 1M tokens Out $0.4000 / 1M tokens | audioimagepdftextvideo url
Output: text | VisionFunction callingParallel function calling | 65.5K | Text + image covered Overall 61% |
| gpt-5-mini github_copilot | In N/A Out N/A | audioimagepdftextvideo
Output: text | VisionFunction callingParallel function calling | 64.0K | Same provider Overall 59% |
| gpt-5.1 github_copilot | In N/A Out N/A | audioimagepdftextvideo
Output: text | VisionFunction callingParallel function calling | 64.0K | Same provider Overall 59% |
| gpt-5.2 github_copilot | In N/A Out N/A | audioimagepdftextvideo
Output: text | VisionFunction callingParallel function calling | 64.0K | Same provider Overall 59% |
| gemini-2.5-pro vertex_ai-language-models | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens | audioimagepdftextvideo
Output: text | VisionFunction calling | 65.5K | Text + image covered Overall 59% |
| gemini-2.5-pro Google | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens | audioimagepdftextvideo
Output: text | VisionFunction calling | 65.5K | Text + image covered Overall 59% |
| gemini-3-pro-preview vertex_ai-language-models | In $2.0000 / 1M tokens Out $12.0000 / 1M tokens | audioimagepdftextvideo
Output: text | VisionFunction calling | 65.5K | Text + image covered Overall 59% |
| gpt-4o-2024-11-20 github_copilot | In N/A Out N/A | audioimagepdftextvideo
Output: text | VisionFunction callingParallel function calling | 16.4K | Same provider Overall 54% |
| claude-haiku-4.5 github_copilot | In N/A Out N/A | audioimagepdftextvideo
Output: text | VisionFunction callingParallel function calling | 16.0K | Same provider Overall 54% |
| claude-opus-4.5 github_copilot | In N/A Out N/A | audioimagepdftextvideo
Output: text | VisionFunction callingParallel function calling | 16.0K | Same provider Overall 54% |
| claude-opus-4.6-fast github_copilot | In N/A Out N/A | audioimagepdftextvideo
Output: text | VisionFunction callingParallel function calling | 16.0K | Same provider Overall 54% |
| claude-sonnet-4 github_copilot | In N/A Out N/A | audioimagepdftextvideo
Output: text | VisionFunction callingParallel function calling | 16.0K | Same provider Overall 54% |
| claude-sonnet-4.5 github_copilot | In N/A Out N/A | audioimagepdftextvideo
Output: text | VisionFunction callingParallel function calling | 16.0K | Same provider Overall 54% |
| gemini-3-pro replicate | In $2.0000 / 1M tokens Out $12.0000 / 1M tokens | audioimagepdftextvideo
Output: text | VisionFunction callingParallel function calling | N/A | Text + image covered Overall 53% |
| paddleocr-vl novita | In $0.0200 / 1M tokens Out $0.0200 / 1M tokens | audioimagepdftextvideo
Output: text | Vision | 16.4K | Text + image covered Overall 36% |
| Llama-3.2-3B-Instruct deepinfra | In $0.0200 / 1M tokens Out $0.0200 / 1M tokens | audioimagepdftextvideo
Output: text | Function calling | 131.1K | Partial I/O overlap Overall 34% Missing image |
| llama3.2-11b-vision-instruct lambda_ai | In $0.0150 / 1M tokens Out $0.0250 / 1M tokens | audioimagepdftextvideo
Output: unknown | VisionFunction callingParallel function calling | 131.1K | Partial I/O overlap Overall 22% Missing text, image |
| llama3.2-3b-instruct lambda_ai | In $0.0150 / 1M tokens Out $0.0250 / 1M tokens | audioimagepdftextvideo
Output: unknown | Function callingParallel function calling | 131.1K | Partial I/O overlap Overall 17% Missing text, image |
| titan-embed-text-v2 vercel_ai_gateway | In $0.0200 / 1M tokens Out N/A | audioimagepdftextvideo
Output: embedding | Low overlap | 0 | Partial I/O overlap Overall 5% Missing image |
| Qwen2.5-Coder-3B-Instruct nscale | In $0.0100 / 1M tokens Out $0.0300 / 1M tokens | audioimagepdftextvideo
Output: unknown | Low overlap | N/A | Partial I/O overlap Overall 0% Missing text, image |
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