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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 3.8 2.4T A95B Thinking, V4.1 Flash Thinking, V4 Pro Thinking, Kimi K2 K2.6 Thinking
Benchmark
Qwen
DeepSeek
DeepSeek
Moonshot
Arena ELOHuman preferenceNot in our dataset1,4761,465Not in our dataset
LiveBench 1.0General reasoningNot in our dataset81.1%Not in our dataset70.5%
GPQA DiamondScientific knowledgeNot in our datasetNot in our dataset90.1%90.5%
HLEAcademic reasoningNot in our datasetNot in our dataset37.7%34.8%
MMLU ProMulti-task understandingNot in our datasetNot in our dataset87.5%88.1%
SimpleBenchCommonsense reasoning62.5%66.7%Not in our datasetNot in our dataset
SWE-Bench VerifiedAgentic codingNot in our datasetNot in our dataset80.6%80.2%
LiveCodeBenchCompetitive codingNot in our datasetNot in our dataset89.8%Not in our dataset
Tau-BenchAgentic tool useNot in our datasetNot in our dataset88.9%82.9%
ARC-AGI-2Visual reasoningNot in our dataset67.5%61.3%Not in our dataset
Pricing & context Published USD rates per 1M tokens
Specification3.8 2.4T A95B ThinkingV4.1 Flash ThinkingV4 Pro ThinkingKimi K2 K2.6 Thinking
Input$2$0.045$1.6$0.57
Output$6$0.5$3.2$2.3
Context window1.0M1.0M1.0M131K
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.