Verdict
DeepSeek-V3 leads 8–0 across 8 shared benchmarks.
DeepSeek-V3 8 · phi-3-medium 14B 0 · higher isn't always better — check the caveats below.
Reported scores — protocols may differ. How we compare
Reasoning: DeepSeek-V3 leads 3–0 across 3 shared reasoning benchmarks (largest gap: GPQA diamond, 42.05 vs 3.45 — single evaluator).
Commonsense Reasoning: DeepSeek-V3 leads 2–0 across 2 shared commonsense reasoning benchmarks (largest gap: HellaSwag, 85.2 vs 76.53 — 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.
Coding
“DeepSeek-V3 achieves the best performance on most benchmarks, especially on math and code tasks.”
General
“At an economical cost of only 2.664M H800 GPU hours, we complete the pre-training of DeepSeek-V3 on 14.8T tokens, producing the currently strongest open-source base model.”
“DeepSeek-V3 outperforms other open-source models and achieves performance comparable to leading closed-source models.”
Reasoning
“Our pipeline elegantly incorporates the verification and reflection patterns of R1 into DeepSeek-V3 and notably improves its reasoning performance.”
No vendor claims on file for phi-3-medium 14B.
DeepSeek-V3 leads 8–0 across 8 shared benchmarks. DeepSeek-V3 leads 8 benchmarks and phi-3-medium 14B leads 0. Higher isn't always better — see the integrity caveats on each benchmark.
DeepSeek-V3 and phi-3-medium 14B have 8 benchmarks in common in our data — those are the only rows where a direct, apples-to-apples comparison is drawn.
DeepSeek-V3 leads reasoning 3–0. DeepSeek-V3 leads commonsense reasoning 2–0.