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Qwen 2.5
STEM Arena Rank #51

Qwen 2.5

QwenLM/Qwen2.5 · Author: @QwenLM
Arena ELO
1362
±16
Total Stars
27.7k
+15.2% w/w
Monthly Traffic
3.6M/mo
4.2x vs median
Search Demand
410,000/mo
+240% YoY

12-Month Adoption & Star Velocity +15.2% w/w

Empirical star trajectory for Qwen 2.5 vs Category Median benchmark. Hover along points to inspect exact monthly stats.

Qwen 2.5 Category Median
28k 14k 332 NovDecJanFebMarAprMayJunJulAugSepOct Nov · 332 vs 4.4k med This Skill: 332 -4.1k vs Median Dec · 496 vs 5.0k med This Skill: 496 -4.5k vs Median Jan · 741 vs 5.7k med This Skill: 741 -4.9k vs Median Feb · 1.1k vs 6.5k med This Skill: 1.1k -5.4k vs Median Mar · 1.7k vs 7.3k med This Skill: 1.7k -5.7k vs Median Apr · 2.5k vs 8.4k med This Skill: 2.5k -5.9k vs Median May · 3.7k vs 9.5k med This Skill: 3.7k -5.8k vs Median Jun · 5.5k vs 10.8k med This Skill: 5.5k -5.3k vs Median Jul · 8.3k vs 12.3k med This Skill: 8.3k -4.0k vs Median Aug · 12.4k vs 13.9k med This Skill: 12.4k -1.6k vs Median Sep · 18.5k vs 15.8k med This Skill: 18.5k +2.7k vs Median Oct · 27.7k vs 18.0k med This Skill: 27.7k +9.7k vs Median
GROWTH VELOCITY
+15.2%
2.8x vs category median
ARENA ELO SCORE
1362
+170 vs category median
WEB VISITS MOMENTUM
3.6M/mo
4.2x category median
LATENCY EFFICIENCY
65ms
0.6x faster execution

Ecosystem Adoption Thesis

Across verified open-source agentic tools, Qwen 2.5 holds a position in the top percentile for developer retention and production velocity. Its weekly surge rate of +15.2% signals sustained real-world adoption rather than speculative hype.

Why Teams & Autonomous Agents Choose Qwen 2.5

Frontier open-weights foundational model series supporting 128k context and state-of-the-art coding and math benchmarks.

Verified Real-World Production Workflow

Primary Implementation:

Self-host high-parameter multilingual reasoning and instruction following competing directly with proprietary models.

Engine Stack & Dependencies:

Dense transformer, RoPE embeddings, GQA (Grouped Query Attention), SwiGLU.

Target Persona & Role Fit

AI Researchers & Foundation Model Devs

Engineered and benchmarked specifically for AI Researchers & Foundation Model Devs demanding deterministic execution, low token overhead, and production reliability in agentic loops.

Production Blueprint & Installation

git clone https://github.com/QwenLM/Qwen2.5

Technical Specification (ASD-STE100)

Frontier open-weights foundational model series supporting 128k context and state-of-the-art coding and math benchmarks.
Architecture: Dense transformer, RoPE embeddings, GQA (Grouped Query Attention), SwiGLU.

Domain Tags & Keywords

#frontier-weights#multilingual#coding-benchmark#math

Compute Efficiency Profile

P95 EXECUTION LATENCY
65ms
0.6x faster than median
TOKEN EFFICIENCY SAVINGS
-94%
Measured via context pruning
HEAD-TO-HEAD WIN RATE
92%
Arena paired matches
Monthly Documentation & Site Visits
3.6M/mo
Measured via Traffic Research bypass engine (4.2x category median)
Google Search Keyword Demand
410,000/mo
+240% YoY expansion

6-Month Web Traffic Velocity

Traffic momentum vs Category Median (850k visits/mo benchmark).

Qwen 2.5 Median
3.6M 2.1M 540k MayJunJulAugSepOct May · 540.0k vs 680.0k med This Skill: 540.0k -140.0k vs Median Jun · 540.0k vs 714.0k med This Skill: 540.0k -174.0k vs Median Jul · 1.14M vs 748.0k med This Skill: 1.14M +389.6k vs Median Aug · 1.96M vs 782.0k med This Skill: 1.96M +1.18M vs Median Sep · 2.78M vs 816.0k med This Skill: 2.78M +1.96M vs Median Oct · 3.60M vs 850.0k med This Skill: 3.60M +2.75M vs Median

This repository commands strong developer search intent across Perplexity, Google AI Overviews, and Claude. High keyword demand directly correlates with active team onboarding and production dependency adoption.

Arena ELO Rating Stability

Head-to-head empirical ratings evaluated across standardized agent workflows.

1362
±16 CI
1k 1k 1k MayJunJulAugSepOct May · 1.3k vs 1.2k med This Skill: 1.3k +145 vs Median Jun · 1.3k vs 1.2k med This Skill: 1.3k +151 vs Median Jul · 1.4k vs 1.2k med This Skill: 1.4k +165 vs Median Aug · 1.4k vs 1.2k med This Skill: 1.4k +176 vs Median Sep · 1.4k vs 1.2k med This Skill: 1.4k +175 vs Median Oct · 1.4k vs 1.2k med This Skill: 1.4k +164 vs Median
WIN RATE
92%
Head-to-head
WEEKLY SURGE
+15.2%
Adoption velocity
P95 LATENCY
65ms
Execution speed
TOKEN OVERHEAD
-94%
Context saved

Head-to-Head Comparison — Qwen 2.5 vs 300 Skills

Select any repository from the 300-skill benchmark graph to evaluate speed, memory, and adoption differences side-by-side.

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