Gemini 2.5 Flash vs Gemini 4 Hydrogen
Gemini 4 Hydrogen: 87.3% average across five Vision Evals tasks (#3 of 69 models). We have not run Gemini 2.5 Flash through Roboflow's Vision Evals, so there is no head-to-head score. Run both on your own image below.
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Gemini 2.5 Flash vs Gemini 4 Hydrogen Comparison Table
Evals updated November 12, 2026Pricing updated November 13, 2026
| Property | Gemini 2.5 Flash | Gemini 4 Hydrogen |
|---|---|---|
| Organization | ||
| Category | closed | closed |
| Modality | multimodal | multimodal |
| Release Date | Jul 2025 | Nov 2026 |
| Context Window | 1.0M | 1.0M |
| Parameters | Unknown | Unknown |
| License | Proprietary | Proprietary |
| Commercial use | commercial use per vendor terms | commercial use per vendor terms |
| Pricing per 1M tokens | ||
| Input $/1M | $0.300 | No published price |
| Output $/1M | $2.50 | No published price |
| Vision Tasks | ||
| Chart Question Answering | Supported | Not listed |
| Document Question Answering | Supported | Not listed |
| Image Tagging | Supported | Not listed |
| Multi-Label Classification | Supported | Not listed |
| Promptable Concept Segmentation | Not listed | Demo |
Both support 6 more tasks | ||
| Model Features | ||
Both support 3 more features | ||
Vision Evalsground-truth scores across 5 vision tasks, pooled at low effort | ||
| Overall | Not evaluated | 87.3% |
| Avg cost / sample | – | $0.0094 |
| Avg speed / sample | – | 13.23s |
| By task | ||
| Object Detection (low) | – | 81.0% ±0.8, Mean of 3 runs, range 80.3 to 81.9 |
| Object Detection (high) | – | 83.3% ±0.7, Mean of 3 runs, range 82.4 to 83.8 |
| Counting (low) | – | 83.8% ±2.0, Mean of 3 runs, range 82.4 to 86.5 |
| Counting (high) | – | 84.2% ±2.7, Mean of 3 runs, range 82.4 to 87.8 |
| Identification (low) | – | 96.9% ±0.0, Mean of 3 runs, range 96.9 to 96.9 |
| Identification (high) | – | 96.9% ±0.0, Mean of 3 runs, range 96.9 to 96.9 |
| OCR (low) | – | 86.7% |
| by category |
| |
| OCR (high) | – | 87.2% |
| by category |
| |
| Reasoning (low) | – | 88.1% ±0.7, Mean of 3 runs, range 87.4 to 88.7 |
| Reasoning (high) | – | 91.8% ±0.3, Mean of 3 runs, range 91.4 to 92.0 |
Gemini 2.5 Flash vs Gemini 4 Hydrogen: Overview
Gemini 2.5 Flash, released on June 17, 2025, is Google DeepMind’s production-ready, efficiency-focused model in the Gemini 2.5 family. It is multimodal, accepting text, images, video, and audio as inputs, with text as the primary output format. The model supports 1 million input tokens and up to 65K output tokens, enabling it to process very large contexts such as books, long video transcripts, or extensive datasets. Its training knowledge extends to January 2025.
Designed as a price-performance leader, Gemini 2.5 Flash balances speed and reasoning power, making it suitable for everyday enterprise and developer use cases without the higher latency and cost of Pro models. It supports advanced workflows like function calling, code execution, search grounding, URL context ingestion, and structured outputs. While efficient and scalable, output length is still limited compared to its input capacity, and multimodal outputs (e.g. image or audio generation) remain restricted to specialized or preview variants.
Gemini 4 Hydrogen is a multimodal model from Google, positioned as a successor to Gemini 3.8 Flash with stronger agent and coding capabilities at Flash-class speed.