Gemini 3.1 Pro vs Kimi K2.5
Verdict
Gemini 3.1 Pro leads 15–0 across 15 shared benchmarks.
Gemini 3.1 Pro 15 · Kimi K2.5 0 · higher isn't always better — see caveats.
Per-benchmark head-to-head
Reported scores — protocols may differ. How we compare
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Gemini 3.1 ProKimi K2.5
Capabilities
Reasoning
Reasoning: Gemini 3.1 Pro leads 5–0 across 5 shared reasoning benchmarks (largest gap: SimpleQA Verified, 77.3 vs 33.9 — single evaluator).
4 reproduced6 unverified
Context Learning
Context Learning: Gemini 3.1 Pro leads 2–0 across 2 shared context learning benchmarks (largest gap: CL-bench Life, 16.9 vs 13.2 — protocols undisclosed).
4 unverified
What the labs claim
Vendor claims — compare against the measured scores above. A claim is what a developer says about its own model, not an independent measurement.
Gemini 3.1 Pro
Agentic / Tool Use
“Gemini 3.1 Pro was evaluated across a range of benchmarks, including reasoning, multimodal capabilities, agentic tool use, multi-lingual performance, and long-context.”
deepmind.google2026
Multimodal
“a suite of highly capable, natively multimodal reasoning models”
deepmind.google2026
Reasoning
“Gemini 3.1 Pro is Google's most advanced model for complex tasks.”
deepmind.google2026
Kimi K2.5
Agentic / Tool Use
“It seamlessly integrates vision and language understanding with advanced agentic capabilities, instant and thinking modes, as well as conversational and agentic paradigms.”
github.com2026“K2.5 transitions from single-agent scaling to a self-directed, coordinated swarm-like execution scheme.”
github.com2026
Coding
“K2.5 generates code from visual specifications (UI designs, video workflows) and autonomously orchestrates tools for visual data processing.”
github.com2026
Multimodal
“Kimi K2.5 is an open-source, native multimodal agentic model built through continual pretraining on approximately 15 trillion mixed visual and text tokens atop Kimi-K2-Base.”
github.com2026