The first benchmark for real-world business AI performance.
70 tasks. 7 categories. 8 models. Zero BS.
Overall MASE Score (Quality × Consistency)
| Rank | Model | Provider | MASE Score | Best For |
|---|---|---|---|---|
| 1 | Claude Opus 4.6 | Anthropic |
8.72
|
Complex reasoning, agentic tasks |
| 2 | GPT-5.2 | OpenAI |
8.64
|
Balanced performance, speed |
| 3 | GPT-5.2 Pro | OpenAI |
8.58
|
Maximum precision tasks |
| 4 | Gemini 3 Pro |
8.31
|
Multimodal, document processing | |
| 5 | Claude Sonnet 4.5 | Anthropic |
8.19
|
Best value for quality |
| 6 | Llama 4 Maverick | Meta |
7.84
|
Self-hosted, cost-sensitive |
| 7 | Mistral Large 3 | Mistral |
7.71
|
European deployment |
| 8 | Gemini 3 Flash |
7.42
|
High-volume, speed-critical |
How each model performs across 7 business task categories
Select 2-3 models for side-by-side comparison
MASE-Cost Score = Quality per dollar spent (higher = better value)
Claude Opus 4.6 leads on raw quality, but Claude Sonnet 4.5 and Gemini 3 Flash offer the best return on investment for most business applications.
The gap between frontier and efficiency tiers has narrowed dramatically—you're no longer paying 10x for 10% better results.
We can analyze your specific use cases and recommend the right model mix for your business.
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