Verdict
Gemini 3 Pro leads 9–0 across 9 shared benchmarks.
DeepSeek-R1 0 · Gemini 3 Pro 9 · higher isn't always better — check the caveats below.
Reported scores — protocols may differ. How we compare
Reasoning: Gemini 3 Pro leads 3–0 across 3 shared reasoning benchmarks (largest gap: ARC-AGI, 75 vs 15.8 — single evaluator).
Vendor claims — compare against the measured scores above. A claim is what a developer says about its own model, not an independent measurement.
Reasoning
“After these steps, we obtained a checkpoint referred to as DeepSeek-R1, which achieves performance on par with OpenAI-o1-1217.”
“For education-oriented knowledge benchmarks such as MMLU, MMLU-Pro, and GPQA Diamond, DeepSeek-R1 demonstrates superior performance compared to DeepSeek-V3.”
Context Handling
“state-of-the-art reasoning, vision and spatial understanding, leading multilingual performance, and 1 million-token context window”
Multimodal
“It's the best model in the world for multimodal understanding and our most powerful agentic and vibe coding model yet”
Reasoning
“It's state-of-the-art in reasoning, built to grasp depth and nuance”
Gemini 3 Pro leads 9–0 across 9 shared benchmarks. DeepSeek-R1 leads 0 benchmarks and Gemini 3 Pro leads 9. Higher isn't always better — see the integrity caveats on each benchmark.
DeepSeek-R1 and Gemini 3 Pro have 9 benchmarks in common in our data — those are the only rows where a direct, apples-to-apples comparison is drawn.
Gemini 3 Pro leads reasoning 3–0.