📡 LLM Pulse|🆕 New on leaderboard: Baidu: ERNIE-Light-DT-1.0 by Baidu — $1.13/M tokens1/10
Measurement sources and verification status (11 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: 262144
inputPrice: 0.25
outputPrice: 0.8
benchmarkMmlu: 82
benchmarkHumanEval: 82
benchmarkMath: 90
benchmarkGpqa: 64
reasoningScore: 77
codingScore: 82
A

Arcee AI: Trinity Large Thinking

arcee-ai🔒 Proprietary

Trinity Large Thinking is a powerful open source reasoning model from the team at Arcee AI. It shows strong performance in PinchBench, agentic workloads, and reasoning tasks. Launch video: https://youtu.be/Gc82AXLa0Rg?si=4RLn6WBz33qT--B7...

7.2
LLM Stats Scores
77.0
Reasoning
82.0
Coding
🎯
64.0%GPQA Diamond — graduate-level science accuracy
Quality Score
80.0
Overall (0–100)
Speed
48 c/s
characters/second
Latency (TTFT)
0.85s
to first token
Input Price
$0.25
per 1M tokens
Output Price
$0.8
per 1M tokens
Context Window
262K
tokens
Release Date
2026-04-01

30-Day Rank History

📊 Benchmark Scores

Reported scores · % accuracy
0%25%50%75%100%GPQA ◆MMLUHumanEvalMATH
What do these benchmarks test?
🎯
GPQA Diamond64.0%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.
🧠
MMLU82.0%Solid
The classic academic breadth benchmark. Top frontier models now score above 85%, so it best distinguishes mid-tier from strong generalist models.
💻
HumanEval82.0%Solid
Measures whether a model writes functionally correct code — not just plausible-looking syntax. Strong scores (>85%) indicate reliable day-to-day coding assistance.
∑
MATH Benchmark90.0%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%.

💰 Cost Calculator

Input cost
$0.25
Output cost
$0.40
Total / month
$0.65
Annual cost
$7.80
Input: $0.25/1M
Output: $0.8/1M
Rate: 1 USD = 1.00 USD · 2026-11-10
80.2% cheaper than average
Cheaper alternatives:
Z.ai: GLM 5.2$0.007/1M · Q73

AI Score

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6.5/10

"Affordable with decent context, suited for specific workloads but limited depth."

🤖 AI Analysis