Updated Weekly

AI Model Rankings

Based on public benchmarks, internal faith-tech evaluations, and provider performance data. Vedika models are purpose-built for sacred text analysis and outperform general LLMs on domain-specific tasks.

Benchmark data Last reviewed: May 2026 200+ models evaluated

Weekly Usage Trends

Token volume by model over the past 12 weeks. Stacked by total throughput across all XALEN endpoints.

LLM Leaderboard

Top 10 models this week by total tokens served. Ranked by aggregate demand across all XALEN customers.

# Model Context Tokens This Week Change
1
X
Vedika Standard
XALEN
128K 3.41B +12.4%
2
D
DeepSeek V4 Pro
DeepSeek
128K 2.87B +8.1%
3
M
Llama 4 Maverick
Meta
256K 2.14B +22.7%
4
Q
Qwen 3 235B-A22B
Alibaba
128K 1.52B +5.3%
5
X
Vedika Fast
XALEN
32K 1.18B +31.2%
6
Mi
Mixtral 8x22B
Mistral
64K 0.94B -3.8%
7
G
Gemma 3 27B
Google
128K 0.71B +4.1%
8
D
DeepSeek R2
DeepSeek
128K 0.58B
9
C
Command R+ 08
Cohere
128K 0.42B -6.2%
10
Z
GLM-5 Plus
Zhipu AI
128K 0.35B +18.9%

Market Share by Provider

Percentage of total tokens served this week, broken down by model provider.

XALEN
32.3%
32.3%
DeepSeek
24.2%
24.2%
Meta
15.1%
15.1%
Alibaba
10.7%
10.7%
Mistral
6.6%
6.6%
Google
5.0%
5.0%
Others
6.1%
6.1%

Intelligence vs. Cost

Composite Intelligence Index Score (MMLU-Pro + HumanEval + GPQA + MT-Bench average) plotted against cost per million output tokens.

Fastest Models

Output tokens per second measured on XALEN infrastructure. P50 latency under standard load.

# Model Provider Tokens/sec Cost / 1M out Latency (P50)
1 Vedika Fast XALEN 2,140 $0.30 89ms
2 Llama 4 Scout Meta 1,820 $0.18 112ms
3 Gemma 3 9B Google 1,690 $0.10 95ms
4 Mistral Small 3.2 Mistral 1,540 $0.20 124ms
5 Qwen 3 30B-A3B Alibaba 1,430 $0.14 131ms
6 DeepSeek V4 Lite DeepSeek 1,320 $0.12 142ms
7 Vedika Standard XALEN 1,010 $0.60 168ms
8 Mixtral 8x22B Mistral 890 $0.90 205ms
9 DeepSeek V4 Pro DeepSeek 710 $2.20 247ms
10 Qwen 3 235B-A22B Alibaba 590 $1.20 284ms

Category Rankings

Domain-specific performance across key verticals. Scores are composite benchmarks weighted for each category.

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