Claude Sonnet 5 vs Gemini 4 Hydrogen
Gemini 4 Hydrogen and Claude Sonnet 5 score 87.3% vs 55.3% averaged across five Vision Evals tasks (#3 and #53 of 69 models), so Gemini 4 Hydrogen leads overall.
- Gemini 4 Hydrogen wins all 5 tasks, with its widest lead on reasoning (88.1% vs 43.0%).
- Claude Sonnet 5 is cheaper: $0.0074 vs $0.0094 overall average cost per sample.
- Claude Sonnet 5 is faster: 5.9s vs 13.2s per sample.
Roboflow Vision Evals. Full breakdown below.
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Claude Sonnet 5 vs Gemini 4 Hydrogen on Vision Evals
Roboflow Vision Evals. Full breakdown below.
Claude Sonnet 5 vs Gemini 4 Hydrogen Comparison Table
Evals updated November 12, 2026Pricing updated November 13, 2026
| Property | Claude Sonnet 5 | Gemini 4 Hydrogen |
|---|---|---|
| Organization | Anthropic | |
| Category | closed | closed |
| Modality | multimodal | multimodal |
| Release Date | Jun 2026 | 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 | $2.00 | No published price |
| Output $/1M | $10.00 | 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 | 55.3% | 87.3% |
| Avg cost / sample | $0.0074 | $0.0094 |
| Avg speed / sample | 5.86s | 13.23s |
| By task | ||
| Object Detection (low) | 36.1% | 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) | 56.8% | 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) | 81.3% | 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) | 59.4% | 86.7% |
| by category |
|
|
| OCR (high) | 59.5% | 87.2% |
| by category |
|
|
| Reasoning (low) | 43.0% | 88.1% ±0.7, Mean of 3 runs, range 87.4 to 88.7 |
| Reasoning (high) | 43.0% | 91.8% ±0.3, Mean of 3 runs, range 91.4 to 92.0 |
Claude Sonnet 5 vs Gemini 4 Hydrogen: Overview
Claude Sonnet 5 is a mid-tier large language model from Anthropic, released on June 30, 2026, as the latest model in the Sonnet series and a direct successor to Claude Sonnet 4.6. It is a hybrid reasoning model designed primarily for agentic workflows, software coding, and professional tasks. The model features a 1 million token context window, a 128k maximum output token limit, and runs adaptive thinking by default, giving API users fine-grained control over reasoning effort across five levels (low, medium, high, max, and extra-high). It uses an updated tokenizer shared with Opus 4.7 and later models, which produces approximately 30% more tokens for equivalent text compared to earlier Claude models.
The model supports text and image input with text output, and accepts tools including browsers and terminals for autonomous multi-step task execution. Anthropic's safety evaluations report that Sonnet 5 shows a lower rate of undesirable behaviors than Sonnet 4.6 and is generally safer in agentic contexts, with improved resistance to prompt injection and reduced sycophancy. Cybersecurity safeguards equivalent to those on Opus 4.7 and 4.8 are active, though Anthropic notes the model was not deliberately trained on cybersecurity tasks. The model is proprietary and API-only, with no open weights.
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 all five vision tasks and averages 87.3% (#3 of 69) against 55.3% (#53 of 69) for Claude Sonnet 5. These scores measure vision capabilities only; either model may perform differently on work outside this benchmark's tasks.
No. On the Vision Evals Reasoning benchmark at low effort, Gemini 4 Hydrogen leads with 88.1% against 43.0%. This is the widest gap between the two models across the benchmark's tasks.
Claude Sonnet 5 is cheaper to run. Across Roboflow's Vision Evals task mix it averaged $0.0074 per sample against $0.0094. Actual costs depend on your image sizes, prompts, and output length.
Claude Sonnet 5 is faster. Across Roboflow's Vision Evals it averaged 5.9s 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 object detection and open prompts in the free Roboflow Playground. You can try it instantly, and a free account unlocks unlimited runs.