Claude Opus 4.6 vs Gemma 4 31B
Gemma 4 31B: 57.7% average across four Vision Evals tasks (#41 of 65 models). We have not run Claude Opus 4.6 through Roboflow's Vision Evals, so there is no head-to-head score. Run both on your own image below.
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Claude Opus 4.6 vs Gemma 4 31B Comparison Table
Evals updated October 26, 2026Pricing updated November 2, 2026
| Property | Claude Opus 4.6 | Gemma 4 31B |
|---|---|---|
| Organization | Anthropic | |
| Category | closed | open |
| Modality | multimodal | multimodal |
| Release Date | Feb 2026 | 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 | $5.00 | $0.200 |
| Output $/1M | $25.00 | $0.400 |
| Vision Tasks | ||
| Model Features | ||
Both support 3 more features | ||
Vision Evalsground-truth scores across 5 vision tasks | ||
| Overall | Not evaluated | 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 4.6 vs Gemma 4 31B: Overview
Claude Opus 4.6 is the flagship large language model from Anthropic, released on 2026-02-05 for advanced reasoning, complex coding, and enterprise agent workflows. It supports text and image inputs via API, offers a 200K-token standard context window with a 1M-token beta option, and enables outputs up to 128K tokens, with adaptive reasoning and context compaction for sustained tasks.
As of 2026-02-17, Anthropic also released Claude Sonnet 4.6, extending the 1M-token context window to a broader tier. Opus remains positioned for maximum depth and benchmark performance, while Sonnet 4.6 brings long-context capability to more cost- and latency-sensitive production use cases.
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.