Speed and price matter. But if a model can't answer correctly, none of that matters. We scored 184 models across 5 quality dimensions using standardized test suites.
Methodology
Tests: coding (HumanEval + 50 custom tasks), reasoning (MMLU subset + logic puzzles), translation (WMT metrics), creative writing (3-judge blind evaluation), instruction following (IFEval). Each dimension scored 0-100.
Top 10 by Overall Score
| Rank | Model | Coding | Reason | Trans | Create | Instruct | Avg |
|---|---|---|---|---|---|---|---|
| 1 | Kimi K2.5 | 96 | 95 | 90 | 88 | 94 | 92.6 |
| 2 | DeepSeek V4 Pro | 94 | 93 | 89 | 90 | 92 | 91.6 |
| 3 | GLM-5 | 88 | 91 | 85 | 92 | 90 | 89.2 |
| 4 | DeepSeek V4 Flash | 94 | 91 | 88 | 87 | 88 | 89.6 |
| 5 | DeepSeek V3.2 | 93 | 90 | 86 | 86 | 87 | 88.4 |
Key Finding: Diminishing Returns Above $0.50/M
The quality difference between DeepSeek V4 Flash ($0.25/M, score 89.6) and Kimi K2.5 ($3.00/M, score 92.6) is just 3.3%. You're paying 12x more for 3.3% better quality. For 95% of production workloads, V4 Flash is indistinguishable from the most expensive models.
All models tested via Global API. Full methodology and raw scores available on request.