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Measurement sources and verification status (19 fields)

Collected third-party figures are not independent tests. A source link and collection date do not establish reproducibility. Exact model version, dataset and test settings may be missing. No independent verification date is supplied.

speed: 80

latency: 0.49

contextWindow: 1000000

inputPrice: 1.25

outputPrice: 2.5

benchmarkMmlu: 90.5

benchmarkHumanEval: 91

benchmarkMath: 94.2

benchmarkHellaSwag: 92

benchmarkGpqa: 78.2

benchmarkMmluPro: 75

reasoningScore: 86

codingScore: 91

benchmarkSweBench: 52

aaIntelligenceIndex: 37

aaCostPerTask: 0.29

aaOutputSpeed: 121

aaLatency: 0.78

aaEndToEndTime: 4.9

xAI: Grok 4.3

x-ai🔒 Proprietary

Published Artificial Analysis leaderboard evidence.

LLM Stats Scores

86.0

Reasoning

91.0

Coding

🎯

78.2%GPQA Diamond — graduate-level science accuracy

75.0%MMLU-Pro

Published benchmark evidence

Task scores are reported independently by each publisher; they are not combined into a hidden quality score.

52.0%

SWE-bench

Artificial Analysis measurements

Published operational results. Cost per task, speed, and latency are kept separate from provider API prices.

Intelligence

AA Index

Cost / task

$0.29

AA measured

Output speed

121

tokens / second

TTFT

0.78s

AA measured

Response time

4.90s

end to end

BenchLM performance measurements

Published output speed and first-token timing, kept separate from provider pricing and other benchmark sources.

View source ↗

Output speed

105

tokens / second

TTFT

24.18s

BenchLM measured

Collected 11/11/2026

Quality Score

88.0

Overall (0–100)

Speed

80 c/s

characters/second

Latency (TTFT)

0.49s

to first token

Input Price

$1.25

per 1M tokens

Output Price

$2.5

per 1M tokens

Context Window

tokens

Release Date

2026-04-30

30-Day Rank History

📊 Benchmark Scores

Reported scores · % accuracy

What do these benchmarks test?

🎯

GPQA Diamond78.2%Solid

Designed so that even PhD-level human experts average ~65–70%. A score above 80% signals near-expert scientific reasoning that goes far beyond memorisation.

📚

MMLU-Pro75.0%Top tier

The harder successor to MMLU — more options per question eliminate single-answer guessing. Tests depth of professional knowledge across 14 disciplines.

🧠

MMLU90.5%Top tier

The classic academic breadth benchmark. Top frontier models now score above 85%, so it best distinguishes mid-tier from strong generalist models.

💻

HumanEval91.0%Top tier

Measures whether a model writes functionally correct code — not just plausible-looking syntax. Strong scores (>85%) indicate reliable day-to-day coding assistance.

∑

MATH Benchmark94.2%Top tier

Tests multi-step mathematical reasoning under strict correctness. Even a 60% score requires strong chain-of-thought; top reasoning models now exceed 90%.

🌐

HellaSwag92.0%Solid

Tests grounded, everyday common sense rather than memorised facts. Most frontier models now score 90%+, so it best separates small/mid models from large ones.