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Benchmark snapshot

0 benchmarks in common.

4 models selected. 0 benchmarks in common.

Reported scores; test settings may differ.

Reported benchmark results for Llama 3 70B 3.3, Phi-4 Non-Thinking, Llama 3 405B 3.1, GPT-5 Nano Thinking (5.0)
Benchmark
Meta
Microsoft
Meta
OpenAI
Arena ELOHuman preference1,3181,256Not in our dataset1,338
LiveBench 1.0General reasoningNot in our dataset41.6%Not in our datasetNot in our dataset
GPQA DiamondScientific knowledge50.5%56.1%49.0%Not in our dataset
MMLU ProMulti-task understanding68.9%Not in our dataset73.4%Not in our dataset
SimpleBenchCommonsense reasoning19.9%Not in our dataset23.0%Not in our dataset
AIME 2025MathematicsNot in our dataset17.3%Not in our datasetNot in our dataset
LiveCodeBenchCompetitive codingNot in our dataset25.2%Not in our datasetNot in our dataset
Terminal-BenchAgentic terminalNot in our datasetNot in our datasetNot in our dataset7.9%
ARC-AGI-2Visual reasoningNot in our datasetNot in our datasetNot in our dataset2.6%
Pricing & context Published USD rates per 1M tokens
SpecificationLlama 3 70B 3.3Phi-4 Non-ThinkingLlama 3 405B 3.1GPT-5 Nano Thinking (5.0)
Input$0.1$0.07$4$0.05
Output$0.32$0.14$4$0.4
Context window131K16K131K400K
Pricing detailsExplore pricing →Explore pricing →Explore pricing →Explore pricing →
How to read this comparison

Each column keeps the exact model version you selected. Shared benchmarks are the intersection of their reported results; “all coverage” also shows where evidence is missing. Missing results never count as zero.

These are published benchmark scores, not a controlled head-to-head test. The available evidence does not establish matching evaluation settings, so we show no cross-model winner highlights or deltas. Composite quality scores are omitted because they can summarize different benchmark sets.

Scores and statistics are computed upstream. This page reads a fixed data snapshot; its date describes the snapshot, not the date of every measurement.