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Measurement sources and verification status (13 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: 160

latency: 0.28

contextWindow: 200000

inputPrice: 1.1

outputPrice: 4.4

benchmarkMmlu: 91.5

benchmarkHumanEval: 92.7

benchmarkMath: 97.5

benchmarkHellaSwag: 90

benchmarkGpqa: 80

benchmarkMmluPro: 80

reasoningScore: 57

codingScore: 68

OpenAI: o4 Mini High

openai🔒 Proprietary

LLM Stats Scores

57.0

Reasoning

68.0

Coding

🎯

80.0%GPQA Diamond — graduate-level science accuracy

80.0%MMLU-Pro

Quality Score

63.0

Overall (0–100)

Speed

160 c/s

characters/second

Latency (TTFT)

0.28s

to first token

Input Price

$1.1

per 1M tokens

Output Price

$4.4

per 1M tokens

Context Window

200K

tokens

Release Date

2025-04-16

30-Day Rank History

📊 Benchmark Scores

Reported scores · % accuracy

What do these benchmarks test?

🎯

GPQA Diamond80.0%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-Pro80.0%Top tier

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

🧠

MMLU91.5%Top tier

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

💻

HumanEval92.7%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 Benchmark97.5%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%.

🌐

HellaSwag90.0%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.