Capability Coverage Tracker
Analyzes which AI capabilities are most and least common across 300 tracked models, and how each feature correlates with composite scores. Discover adoption trends, score premiums, and capability combinations.
Overview
Capability Adoption Rate (%)
Capability Adoption
Sorted by adoption rate| Capability | Models | Adoption % | Score Premium |
|---|---|---|---|
Streaming | 300 | 100.0% | +67.8 |
Function Calling | 286 | 95.3% | +12.0 |
JSON Mode | 268 | 89.3% | +16.3 |
Reasoning | 241 | 80.3% | +11.5 |
Vision | 193 | 64.3% | +15.2 |
Web Search | 137 | 45.7% | +19.7 |
Image Output | 0 | 0.0% | -67.8 |
Score Premium Analysis
How much each capability correlates with higher scoresCapability Combinations
Most popular multi-capability combos| # | Combination | Models | Avg Score |
|---|---|---|---|
| 1 | Function Calling + Streaming | 286 | 68.3 |
| 2 | JSON Mode + Streaming | 268 | 69.5 |
| 3 | Function Calling + JSON Mode | 258 | 69.9 |
| 4 | Function Calling + JSON Mode + Streaming | 258 | 69.9 |
| 5 | Reasoning + Streaming | 241 | 70.0 |
| 6 | Function Calling + Reasoning | 234 | 70.4 |
| 7 | Function Calling + Reasoning + Streaming | 234 | 70.4 |
| 8 | JSON Mode + Reasoning | 213 | 72.2 |
| 9 | JSON Mode + Reasoning + Streaming | 213 | 72.2 |
| 10 | Function Calling + JSON Mode + Reasoning | 208 | 72.4 |
"Full Stack" Models
Models with all 7 capabilitiesNo models currently have all 7 capabilities (vision, function calling, streaming, JSON mode, reasoning, web search, and image output). A "Full Stack" model would be one that supports every tracked feature.
Capability by Provider
Providers with 3+ models| Provider | Vision | Function Calling | Streaming | JSON Mode | Reasoning | Web Search | Image Output |
|---|---|---|---|---|---|---|---|
| OpenAI(86) | 75/8687% | 84/8698% | 86/86100% | 86/86100% | 63/8673% | 72/8684% | 00% |
| Alibaba(31) | 17/3155% | 31/31100% | 31/31100% | 31/31100% | 25/3181% | 00% | 00% |
| Anthropic(28) | 28/28100% | 28/28100% | 28/28100% | 24/2886% | 27/2896% | 28/28100% | 00% |
| Google(27) | 26/2796% | 24/2789% | 27/27100% | 27/27100% | 24/2789% | 20/2774% | 00% |
| Zhipu AI(13) | 3/1323% | 13/13100% | 13/13100% | 12/1392% | 13/13100% | 00% | 00% |
| DeepSeek(12) | 00% | 11/1292% | 12/12100% | 11/1292% | 10/1283% | 00% | 00% |
| NVIDIA(9) | 2/922% | 8/989% | 9/9100% | 5/956% | 9/9100% | 00% | 00% |
| Moonshot AI(8) | 5/863% | 8/8100% | 8/8100% | 7/888% | 6/875% | 00% | 00% |
| MiniMax(8) | 2/825% | 7/888% | 8/8100% | 6/875% | 7/888% | 00% | 00% |
| Mistral AI(6) | 3/650% | 6/6100% | 6/6100% | 6/6100% | 2/633% | 00% | 00% |
| inclusionai(5) | 00% | 5/5100% | 5/5100% | 3/560% | 3/560% | 00% | 00% |
| xAI(5) | 5/5100% | 4/580% | 5/5100% | 5/5100% | 5/5100% | 5/5100% | 00% |
| Meta(5) | 2/540% | 5/5100% | 5/5100% | 5/5100% | 00% | 00% | 00% |
| poolside(4) | 00% | 4/4100% | 4/4100% | 00% | 4/4100% | 00% | 00% |
| Cohere(4) | 00% | 3/475% | 4/4100% | 3/475% | 1/425% | 00% | 00% |
| ~anthropic(4) | 4/4100% | 4/4100% | 4/4100% | 4/4100% | 4/4100% | 4/4100% | 00% |
| ByteDance(4) | 4/4100% | 4/4100% | 4/4100% | 4/4100% | 4/4100% | 00% | 00% |
| thinkingmachines(3) | 3/3100% | 3/3100% | 3/3100% | 1/333% | 3/3100% | 00% | 00% |
| Kuaishou(3) | 00% | 3/3100% | 3/3100% | 3/3100% | 00% | 00% | 00% |
| aion-labs(3) | 00% | 3/3100% | 3/3100% | 3/3100% | 3/3100% | 00% | 00% |
| TII(3) | 00% | 3/3100% | 3/3100% | 00% | 3/3100% | 00% | 00% |
We track seven key capabilities: Vision (image understanding), Function Calling (tool use), Streaming (real-time output), JSON Mode (structured output), Reasoning (chain-of-thought), Web Search (live information retrieval), and Image Output (image generation).
Score premium measures how much higher (or lower) the average composite score is for models that have a specific capability compared to those that lack it. A positive premium means models with that capability tend to score higher overall.
A full stack model supports all seven tracked capabilities: vision, function calling, streaming, JSON mode, reasoning, web search, and image output. These are the most versatile models available.
The most and least common capabilities are shown in the Overview section above. Adoption rates vary widely, with some capabilities like streaming being near-universal while others like image output are much rarer.