Kimi K2.5 vs Llama 3.1-405B
Verdict
Kimi K2.5 leads 4–0 across 4 shared benchmarks.
Kimi K2.5 4 · Llama 3.1-405B 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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Kimi K2.5Llama 3.1-405B
Capabilities
Reasoning
Reasoning: Kimi K2.5 leads 2–0 across 2 shared reasoning benchmarks (largest gap: GPQA diamond, 83.47 vs 34.55 — single evaluator).
2 reproduced2 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.
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
Llama 3.1-405B
Context Handling
“These are multilingual and have a significantly longer context length of 128K, state-of-the-art tool use, and overall stronger reasoning capabilities.”
ai.meta.com2024
General
“Llama 3.1 405B is in a class of its own, with unmatched flexibility, control, and state-of-the-art capabilities that rival the best closed source models.”
ai.meta.com2024“Llama 3.1 405B is the first openly available model that rivals the top AI models when it comes to state-of-the-art capabilities in general knowledge, steerability, math, tool use”
ai.meta.com2024