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Measurement sources and verification status (10 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: 48

latency: 0.85

contextWindow: 131072

benchmarkMmlu: 90.8

benchmarkHumanEval: 92.8

benchmarkMath: 97.3

benchmarkGpqa: 71.5

reasoningScore: 84

codingScore: 92.8

benchmarkSweBench: 49.2

DeepSeek R1 Distill Qwen 32B

deepseek🔒 Proprietary

Published BenchLM leaderboard evidence.

LLM Stats Scores

84.0

Reasoning

92.8

Coding

🎯

71.5%GPQA Diamond — graduate-level science accuracy

Published benchmark evidence

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

View HLE source ↗

4.6%

Humanity's Last Exam

49.2%

SWE-bench

BenchLM performance measurements

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

View source ↗

Output speed

tokens / second

TTFT

0.84s

BenchLM measured

Collected 8/22/2026

Quality Score

88.0

Overall (0–100)

Speed

48 c/s

characters/second

Latency (TTFT)

0.85s

to first token

Input Price

—

per 1M tokens

Output Price

—

per 1M tokens

Context Window

131K

tokens

Release Date

2025-01

30-Day Rank History

📊 Benchmark Scores

Reported scores · % accuracy

What do these benchmarks test?

🎯

GPQA Diamond71.5%Below avg

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.

🧠

MMLU90.8%Top tier

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

💻

HumanEval92.8%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 Benchmark97.3%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%.