📡 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: 80
latency: 0.5
contextWindow: 65535
inputPrice: 0.62
outputPrice: 0.62
benchmarkMmlu: 78
benchmarkHumanEval: 78
benchmarkMath: 74
benchmarkGpqa: 60
reasoningScore: 67
codingScore: 78

WizardLM-2 8x22B

microsoft🔒 Proprietary

WizardLM-2 8x22B is Microsoft AI's most advanced Wizard model. It demonstrates highly competitive performance compared to leading proprietary models, and it consistently outperforms all existing state-of-the-art opensource models. It is...

6.2
LLM Stats Scores
67.0
Reasoning
78.0
Coding
🎯
60.0%GPQA Diamond — graduate-level science accuracy
Quality Score
73.0
Overall (0–100)
Speed
80 c/s
characters/second
Latency (TTFT)
0.50s
to first token
Input Price
$0.62
per 1M tokens
Output Price
$0.62
per 1M tokens
Context Window
66K
tokens
Release Date
2024-04-16

30-Day Rank History

📊 Benchmark Scores

Reported scores · % accuracy
0%25%50%75%100%GPQA ◆MMLUHumanEvalMATH60.0%78.0%78.0%74.0%
What do these benchmarks test?
🎯
GPQA Diamond60.0%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.
🧠
MMLU78.0%Solid
The classic academic breadth benchmark. Top frontier models now score above 85%, so it best distinguishes mid-tier from strong generalist models.
💻
HumanEval78.0%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 Benchmark74.0%Solid
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
$0.62
Output cost
$0.31
Total / month
$0.93
Annual cost
$11.16
Input: $0.62/1M
Output: $0.62/1M
Rate: 1 USD = 1.00 USD · 2026-11-10
71.6% cheaper than average
Cheaper alternatives:
Z.ai: GLM 5.2$0.007/1M · Q73

AI Score

Powered by Groq
7.5/10

"Very capable 8x22B model with good instruction tuning, slightly behind Mixtral in benchmark rankings"

🤖 AI Analysis

⚔ Battle This Model← Back