Claude Opus 4.1 vs Gemma 4 31B
Gemma 4 31B: 57.7% average across four Vision Evals tasks (#43 of 67 models). Claude Opus 4.1 is deprecated and was not run through Roboflow's Vision Evals, so there is no head-to-head score.
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Claude Opus 4.1 is deprecated and can no longer be run. Details and evals are still available on its model page.
Claude Opus 4.1 vs Gemma 4 31B Comparison Table
Evals updated November 10, 2026Pricing updated November 10, 2026
| Property | Claude Opus 4.1 | Gemma 4 31B |
|---|---|---|
| Organization | Anthropic | |
| Category | closed | open |
| Modality | multimodal | multimodal |
| Release Date | Aug 2025 | Apr 2026 |
| Context Window | 200K | 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 | $15.00 | $0.200 |
| Output $/1M | $75.00 | $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 Opus 4.1 vs Gemma 4 31B: Overview
Claude 4.1 Opus, released by Anthropic in August 2025, is the upgraded flagship of the Claude 4 family, building on Opus 4 with stronger reasoning and agentic capabilities. Like its predecessor, it is multimodal and optimized for text, code, and tool use, with support for large context windows suited to multi-file codebases, technical workflows, and long-horizon problem solving.
It demonstrates more precise debugging, refactoring, and orchestration of agentic tasks while maintaining similar safety and alignment safeguards. It is best suited for enterprise-scale software development, research automation, and advanced reasoning workflows where reliability and depth of analysis are critical.
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.