📡 LLM Pulse|🆕 New on leaderboard: Baidu: ERNIE-Light-DT-1.0 by Baidu — $1.13/M tokens1/10
Measurement sources and verification status (12 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: 210
latency: 0.48
contextWindow: 131072
inputPrice: 0.3
outputPrice: 0.5
benchmarkMmlu: 87
benchmarkHumanEval: 88.5
benchmarkMath: 90.5
benchmarkGpqa: 68
reasoningScore: 75
codingScore: 70
benchmarkSweBench: 45

xAI: Grok 3 Mini

xAI🔒 Proprietary

xAI's compact thinking model with fast reasoning at low cost.

7.1
LLM Stats Scores
75.0
Reasoning
70.0
Coding
🎯
68.0%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 ↗
11.0%
Humanity's Last Exam
45.0%
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
80
tokens / second
TTFT
25.69s
BenchLM measured
Collected 8/22/2026
Quality Score
72.0
Overall (0–100)
Speed
210 c/s
characters/second
Latency (TTFT)
0.48s
to first token
Input Price
$0.3
per 1M tokens
Output Price
$0.5
per 1M tokens
Context Window
131K
tokens
Release Date
2025-Q1

30-Day Rank History

📊 Benchmark Scores

Reported scores · % accuracy
0%25%50%75%100%GPQA ◆MMLUHumanEvalMATH
What do these benchmarks test?
🎯
GPQA Diamond68.0%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.
🧠
MMLU87.0%Top tier
The classic academic breadth benchmark. Top frontier models now score above 85%, so it best distinguishes mid-tier from strong generalist models.
💻
HumanEval88.5%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 Benchmark90.5%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%.

💰 Cost Calculator

Input cost
$0.30
Output cost
$0.25
Total / month
$0.55
Annual cost
$6.60
Input: $0.3/1M
Output: $0.5/1M
Rate: 1 USD = 1.00 USD · 2026-11-10
83.2% cheaper than average
Cheaper alternatives:
Z.ai: GLM 5.2$0.007/1M · Q73

AI Score

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7.2/10

"Fast and affordable with decent quality, good for chat and summarization but not frontier."

🤖 AI Analysis