Gemini 3.7 Flash vs Gemini 4 Hydrogen
Gemini 4 Hydrogen and Gemini 3.7 Flash score 87.3% vs 80.1% averaged across five Vision Evals tasks (#3 and #10 of 69 models), so Gemini 4 Hydrogen leads overall.
- Gemini 4 Hydrogen wins 4 of the 5 tasks, with its widest lead on OCR (86.7% vs 73.9%).
- Gemini 3.7 Flash is about a third of the cost: $0.0033 vs $0.0094 overall average cost per sample.
- Gemini 3.7 Flash is faster: 11.0s vs 13.2s per sample.
Roboflow Vision Evals. Full breakdown below.
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Gemini 3.7 Flash vs Gemini 4 Hydrogen on Vision Evals
Roboflow Vision Evals. Full breakdown below.
Gemini 3.7 Flash vs Gemini 4 Hydrogen Comparison Table
Evals updated November 12, 2026Pricing updated November 13, 2026
| Property | Gemini 3.7 Flash | Gemini 4 Hydrogen |
|---|---|---|
| Organization | ||
| Category | closed | closed |
| Modality | multimodal | multimodal |
| Release Date | Aug 2026 | Nov 2026 |
| Context Window | 1.0M | 1.0M |
| Parameters | Undisclosed | Unknown |
| License | Proprietary | Proprietary |
| Commercial use | commercial use per vendor terms | commercial use per vendor terms |
| Pricing per 1M tokens | ||
| Input $/1M | $0.750 | No published price |
| Output $/1M | $3.75 | 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 | 80.1% | 87.3% |
| Avg cost / sample | $0.0033 | $0.0094 |
| Avg speed / sample | 11.04s | 13.23s |
| By task | ||
| Object Detection (low) | 70.5% ±1.1, Mean of 3 runs, range 69.4 to 71.5 | 81.0% ±0.8, Mean of 3 runs, range 80.3 to 81.9 |
| Object Detection (high) | 74.3% ±0.8, Mean of 3 runs, range 73.3 to 75.0 | 83.3% ±0.7, Mean of 3 runs, range 82.4 to 83.8 |
| Counting (low) | 78.4% ±1.4, Mean of 3 runs, range 77.0 to 79.7 | 83.8% ±2.0, Mean of 3 runs, range 82.4 to 86.5 |
| Counting (high) | 79.3% ±2.0, Mean of 3 runs, range 77.0 to 81.1 | 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 | 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 | 96.9% ±0.0, Mean of 3 runs, range 96.9 to 96.9 |
| OCR (low) | 73.9% | 86.7% |
| by category |
|
|
| OCR (high) | 78.8% | 87.2% |
| by category |
|
|
| Reasoning (low) | 80.8% ±2.0, Mean of 3 runs, range 78.8 to 82.8 | 88.1% ±0.7, Mean of 3 runs, range 87.4 to 88.7 |
| Reasoning (high) | 81.9% ±1.3, Mean of 3 runs, range 80.1 to 82.8 | 91.8% ±0.3, Mean of 3 runs, range 91.4 to 92.0 |
Gemini 3.7 Flash vs Gemini 4 Hydrogen: Overview
Gemini 3.7 Flash is a proprietary multimodal model from Google, positioned in the Flash branch of the Gemini 3 series that trades some of the capacity of the larger Pro models for lower latency and lower cost per token. It accepts interleaved text and image input alongside other modalities handled by the Gemini family and returns text, and it continues the series pattern of exposing a configurable thinking budget so that reasoning effort can be scaled up for harder problems or reduced for high throughput extraction, routing and classification work. The model is announced roughly three weeks after Gemini 3.6 Flash, part of an unusually fast iteration cadence within the Flash line.
Google reports gains concentrated in agentic coding and front end generation, citing a WebDev Arena Elo of 1588 for this release compared with 1538 for the preceding Flash model, and describes it as producing more functional layouts and more feature complete applications in fewer prompts. Weights are not published and the architecture, parameter count and training corpus are undisclosed, consistent with prior Gemini releases. Visual capability follows the Flash lineage, covering image and document understanding, chart and diagram interpretation, text recognition in images, and general visual question answering.
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.
Frequently Asked Questions
On Roboflow's Vision Evals, Gemini 4 Hydrogen performed better. It scores higher on 4 of the five vision tasks and averages 87.3% (#3 of 69) against 80.1% (#10 of 69) for Gemini 3.7 Flash. These scores measure vision capabilities only; either model may perform differently on work outside this benchmark's tasks.
No. On the Vision Evals OCR benchmark at low effort, Gemini 4 Hydrogen leads with 86.7% against 73.9%. This is the widest gap between the two models across the benchmark's tasks.
Gemini 3.7 Flash is cheaper to run. Across Roboflow's Vision Evals task mix it averaged $0.0033 per sample against $0.0094. Actual costs depend on your image sizes, prompts, and output length.
Gemini 3.7 Flash is faster. Across Roboflow's Vision Evals it averaged 11.0s per inference against 13.2s. Latency varies with image size, prompt length, and provider load, so treat these as relative rather than guaranteed figures.
Yes. The comparison demo on this page runs both models on the same image side by side for image captioning and open prompts in the free Roboflow Playground. You can try it instantly, and a free account unlocks unlimited runs.