gemini-2.0-flash-001
deepinfra · chat model
gemini-2.0-flash-001 is listed here as a chat model from deepinfra. 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 |
|---|---|
| Input | $0.1000 / 1M tokens |
| Output | $0.4000 / 1M tokens |
| Embedding | $0.1000 / 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 |
|---|---|---|---|---|---|
| MMLU-Pro | 77.6% | accuracy | Base model: Gemini 2.0 Flash (Gemini 2.0 Flash (GA)) | 2026-05-31 | Link |
| LiveCodeBench v5 | 34.5% | accuracy | Base model: Gemini 2.0 Flash (Gemini 2.0 Flash (GA)) | 2026-05-31 | Link |
| GPQA Diamond | 60.1% | accuracy | Base model: Gemini 2.0 Flash (Gemini 2.0 Flash (GA)) | 2026-05-31 | Link |
| MATH | 90.9% | accuracy | Base model: Gemini 2.0 Flash (Gemini 2.0 Flash (GA)) | 2026-05-31 | Link |
| FACTS Grounding | 84.6% | accuracy | Base model: Gemini 2.0 Flash (Gemini 2.0 Flash (GA)) | 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-2.0-flash-001 deepinfra | In $0.1000 / 1M tokens Out $0.4000 / 1M tokens | audiocodeimagetextvideo
Output: text | Function callingTool choice | 1.0M | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| gemini-2.5-flash deepinfra | In $0.3000 / 1M tokens Out $2.5000 / 1M tokens | audiocodeimagetextvideo
Output: text | Function callingTool choice | 1.0M | Same provider Overall 85% |
| gemini-2.5-pro deepinfra | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens | audiocodeimagetextvideo
Output: text | Function callingTool choice | 1.0M | Same provider Overall 81% |
| Llama-4-Maverick-17B-128E-Instruct-FP8 deepinfra | In $0.1500 / 1M tokens Out $0.6000 / 1M tokens | audiocodeimagetextvideo
Output: text | Function callingTool choice | 1.0M | Same provider Overall 78% |
| Llama-4-Scout-17B-16E-Instruct deepinfra | In $0.0800 / 1M tokens Out $0.3000 / 1M tokens | audiocodeimagetextvideo
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| Llama-3.3-Nemotron-Super-49B-v1.5 deepinfra | In $0.1000 / 1M tokens Out $0.4000 / 1M tokens | audiocodeimagetextvideo
Output: text | Function callingTool choice | 131.1K | Same provider Overall 68% Missing image |
| Llama-3.3-70B-Instruct-Turbo deepinfra | In $0.1300 / 1M tokens Out $0.3900 / 1M tokens | audiocodeimagetextvideo
Output: text | Function callingTool choice | 131.1K | Same provider Overall 65% Missing image |
| gemma-3-27b-it deepinfra | In $0.0900 / 1M tokens Out $0.1600 / 1M tokens | audiocodeimagetextvideo
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| Mistral-Small-3.2-24B-Instruct-2506 deepinfra | In $0.0750 / 1M tokens Out $0.2000 / 1M tokens | audiocodeimagetextvideo
Output: text | Function callingTool choice | 128.0K | Same provider Overall 65% |
| gemini-2.0-flash-lite vercel_ai_gateway | In $0.0750 / 1M tokens Out $0.3000 / 1M tokens | audiocodeimagetextvideo
Output: text | Function callingTool choice | 8.2K | Text + image covered Overall 63% |
| gemini-2.0-flash-001 Google | In $0.1000 / 1M tokens Out $0.4000 / 1M tokens | audiocodeimagetextvideo
Output: text | Function callingTool choice | 8.2K | Text + image covered Overall 62% |
| gemini-2.0-flash vertex_ai-language-models | In $0.1000 / 1M tokens Out $0.4000 / 1M tokens | audiocodeimagetextvideo url
Output: text | Function callingTool choice | 8.2K | Text + image covered Overall 60% |
| gemma-3-12b-it deepinfra | In $0.0500 / 1M tokens Out $0.1000 / 1M tokens | audiocodeimagetextvideo
Output: text | Function callingTool choice | 131.1K | Same provider Overall 60% |
| gemma-3-4b-it deepinfra | In $0.0400 / 1M tokens Out $0.0800 / 1M tokens | audiocodeimagetextvideo
Output: text | Function callingTool choice | 131.1K | Same provider Overall 58% |
| gemini-2.5-flash-lite vertex_ai-language-models | In $0.1000 / 1M tokens Out $0.4000 / 1M tokens | audiocodeimagetextvideo pdfurl
Output: text | Function callingTool choice | 65.5K | Text + image covered Overall 58% |
| gemini-2.5-flash-lite-preview-09-2025 vertex_ai-language-models | In $0.1000 / 1M tokens Out $0.4000 / 1M tokens | audiocodeimagetextvideo pdfurl
Output: text | Function callingTool choice | 65.5K | Text + image covered Overall 58% |
| gemini-2.5-flash vercel_ai_gateway | In $0.3000 / 1M tokens Out $2.5000 / 1M tokens | audiocodeimagetextvideo
Output: text | Function callingTool choice | 65.5K | Text + image covered Overall 53% |
| gpt-4.1-nano Azure | In $0.1000 / 1M tokens Out $0.4000 / 1M tokens | audiocodeimagetextvideo
Output: text | Function callingTool choice | 32.8K | Text + image covered Overall 53% |
| gpt-4.1-nano-2025-04-14 Azure | In $0.1000 / 1M tokens Out $0.4000 / 1M tokens | audiocodeimagetextvideo
Output: text | Function callingTool choice | 32.8K | Text + image covered Overall 53% |
| gemini-2.5-flash replicate | In $2.5000 / 1M tokens Out $2.5000 / 1M tokens | audiocodeimagetextvideo
Output: text | Function callingTool choice | N/A | Text + image covered Overall 46% |
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