Claude Opus 4.7 vs Gemma 4 — Which is Better?
Claude Opus 4.7 is Anthropic's flagship model released April 16, 2026. It leads on coding benchmarks like SWE-bench Verified (72.6%), agentic tasks (TAU-bench 69.2%), and the new BridgeBench evaluation. It's a closed-source API model best suited for complex software engineering, long-context tasks, and agentic workflows.
Gemma 4 is Google DeepMind's latest open model family released April 2, 2026. The 31B parameter version punches well above its weight class, excelling at multimodal reasoning and on-device inference. It's free to use and can run locally on consumer hardware with 24GB+ VRAM.
Choose Claude Opus 4.7 when you need the absolute best coding and agentic performance. Choose Gemma 4 when you need a free, local model or are building open-source applications.
What is BridgeBench?
BridgeBench is a 2026 AI evaluation benchmark that tests models on complex multi-step reasoning tasks requiring bridging between different knowledge domains. Unlike traditional benchmarks that test a single skill, BridgeBench evaluates how well models can combine knowledge from multiple domains — for example, applying physics concepts to solve a financial modeling problem. Claude Opus 4.7 currently leads this benchmark.
AI Model Benchmarks Explained
- SWE-bench Verified — Tests ability to resolve real GitHub issues from popular Python repos. The gold standard for coding ability.
- TAU-bench — Measures performance on complex agentic tasks with tool use and multi-step planning.
- LiveCodeBench — Competitive programming problems updated regularly to prevent memorization.
- AIME 2025 — American Invitational Mathematics Examination, testing advanced math reasoning.
- MMLU-Pro — Massive Multitask Language Understanding with harder, professional-level questions.
- GPQA Diamond — Graduate-level science questions reviewed by PhD experts.
- MathVista — Visual math reasoning requiring understanding of charts, geometry, and figures.
How We Update This Comparison
We track benchmark results from official model cards, academic papers, and verified third-party evaluations. Scores are updated within 48 hours of new model releases. All scores represent the best publicly reported result for each model on each benchmark.
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