Claude Sonnet 4 vs Gemma 4 31B
Gemma 4 31B: 57.7% average across four Vision Evals tasks (#41 of 65 models). Claude Sonnet 4 is deprecated and was not run through Roboflow's Vision Evals, so there is no head-to-head score.
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Claude Sonnet 4 is deprecated and can no longer be run. Details and evals are still available on its model page.
Claude Sonnet 4 vs Gemma 4 31B Comparison Table
Evals updated October 26, 2026Pricing updated November 2, 2026
| Property | Claude Sonnet 4 | Gemma 4 31B |
|---|---|---|
| Organization | Anthropic | |
| Category | closed | open |
| Modality | multimodal | multimodal |
| Release Date | May 2025 | Apr 2026 |
| Context Window | 1.0M | 256K |
| Parameters | Unknown | 31B |
| License | Proprietary | Apache 2.0 |
| Commercial use | commercial use per vendor terms | free for commercial use |
| Pricing per 1M tokens | ||
| Input $/1M | No published price | $0.200 |
| Output $/1M | No published price | $0.400 |
| Vision Tasks | ||
| Captioning | Supported | Demo |
| Classification | Supported | Demo |
| Object Detection | Supported | Demo |
| OCR | Supported | Demo |
| Visual Question Answering | Supported | Demo |
| Model Features | ||
Both support 3 more features | ||
Vision Evalsground-truth scores across 5 vision tasks | ||
| Overall | Deprecated | 57.7%* |
| Quantizationsself-hosted | ||
| Avg cost / sample | – | $0.0015 |
| Avg speed / sample | – | 34.36s |
| By task | ||
| Object Detection | – | 47.5% ±0.6, Mean of 3 runs, range 46.8 to 48.0 |
| Counting | – | 51.4% ±2.7, Mean of 3 runs, range 48.6 to 54.0 |
| Identification | – | 79.2% ±1.6, Mean of 3 runs, range 78.1 to 81.3 |
| OCR | – | – |
| by category | ||
| Reasoning | – | 52.8% ±1.3, Mean of 3 runs, range 51.7 to 54.3 |
Claude Sonnet 4 vs Gemma 4 31B: Overview
Claude 4 Sonnet, released by Anthropic in May 2025, is the mid-tier model in the Claude 4 family, designed to balance capability, cost, and speed. It is multimodal, accepting both text and images, and extends beyond prior versions with improved “computer use” support, allowing API-driven interaction with desktop-like interfaces. By default, it supports 200,000 tokens of context, but as of August 2025, it also offers a 1 million-token context window in public beta—making it one of the most context-capable models available for processing entire codebases or large document sets in a single request.
Sonnet 4 is significantly cheaper than the flagship Opus while still demonstrating strong reasoning, coding, and instruction-following ability with reduced hallucinations. Its extended context capabilities and lower latency make it well-suited for enterprise-scale knowledge management, software development, research assistants, and productivity automation where both cost efficiency and high reliability are essential.
Gemma 4 31B is the largest dense model in Google's Gemma 4 family, built from the same research as Gemini 3 and released as open weights under the Apache 2.0 license. It supports a 256K token context window with text and image input, configurable thinking mode for step-by-step reasoning, and multilingual support across 140+ languages. The unquantized model fits on a single 80GB GPU.
For vision tasks, Gemma 4 31B supports image understanding with variable aspect ratios and resolutions, and can output structured bounding boxes for UI element detection, making it useful for document parsing and UI understanding. Compared to Gemma 3, it delivers stronger reasoning and multimodal performance. It is part of a four-size family alongside the 26B A4B MoE variant and two on-device models (E2B, E4B), with the 31B dense variant optimized for output quality and fine-tuning over inference speed.