Analyzes how recently AI models and their data have been updated. Track freshness scores, identify stale data, and see which providers keep their models most up to date.
100.0
out of 100
293
models updated
293
models updated
GPT-5.4 Pro
0m ago
Models grouped by how recently their data was last updated.
Models with the most recently updated data, ranked by freshness score.
| # | Model | Provider | Last Updated | Freshness |
|---|---|---|---|---|
| 1 | Inflection 3 Pi | Inflection | 0m ago | 100 |
| 2 | Inflection 3 Productivity | Inflection | 0m ago | 100 |
| 3 | Qwen2.5-VL 7B Instruct | Alibaba | 0m ago | 100 |
| 4 | Mistral Large | Mistral AI | 0m ago | 100 |
| 5 | GPT-3.5 Turbo (older v0613) | OpenAI | 0m ago | 100 |
| 6 | Gemma 2 27B | 0m ago | 100 | |
| 7 | Llama 3 70B Instruct | Meta | 0m ago | 100 |
| 8 | Llama 3.2 3B Instruct | Meta | 0m ago | 100 |
| 9 | WizardLM-2 8x22B | Microsoft | 0m ago | 100 |
| 10 | Llama 3.2 1B Instruct | Meta | 0m ago | 100 |
| 11 | GPT-3.5 Turbo Instruct | OpenAI | 0m ago | 100 |
| 12 | Gemma 2 9B | 0m ago | 100 | |
| 13 | LlamaGuard 2 8B | Meta | 0m ago | 100 |
| 14 | Mistral 7B Instruct v0.1 | Mistral AI | 0m ago | 100 |
| 15 | Mixtral 8x22B Instruct | Mistral AI | 0m ago | 100 |
| 16 | Qwen VL Plus | Alibaba | 0m ago | 100 |
| 17 | UI-TARS 7B | ByteDance | 0m ago | 100 |
| 18 | Cogito v2.1 671B | deepcogito | 0m ago | 100 |
| 19 | Voxtral Small 24B 2507 | Mistral AI | 0m ago | 100 |
| 20 | ERNIE 4.5 21B A3B | Baidu | 0m ago | 100 |
Models with the oldest data. These may have outdated scores or missing signal updates.
| # | Model | Provider | Last Updated | Freshness |
|---|---|---|---|---|
| 1 | GPT-5.4 Pro | OpenAI | 0m ago | 100 |
| 2 | GPT-5.2 Pro | OpenAI | 0m ago | 100 |
| 3 | GPT-5 Pro | OpenAI | 0m ago | 100 |
| 4 | o3 Pro | OpenAI | 0m ago | 100 |
| 5 | Claude Opus 4.1 | Anthropic | 0m ago | 100 |
| 6 | o1-pro | OpenAI | 0m ago | 100 |
| 7 | Claude Opus 4 | Anthropic | 0m ago | 100 |
| 8 | o3 Deep Research | OpenAI | 0m ago | 100 |
| 9 | Claude Opus 4.6 | Anthropic | 0m ago | 100 |
| 10 | Claude Opus 4.5 | Anthropic | 0m ago | 100 |
| 11 | GPT-5.4 | OpenAI | 0m ago | 100 |
| 12 | Claude Sonnet 4.5 | Anthropic | 0m ago | 100 |
| 13 | Qwen3 VL 30B A3B Thinking | Alibaba | 0m ago | 100 |
| 14 | Qwen3 VL 235B A22B Thinking | Alibaba | 0m ago | 100 |
| 15 | GPT-5.2 | OpenAI | 0m ago | 100 |
| 16 | Gemini 3.1 Pro Preview Custom Tools | 0m ago | 100 | |
| 17 | Gemini 3.1 Pro Preview | 0m ago | 100 | |
| 18 | Gemini 3 Pro Preview | 0m ago | 100 | |
| 19 | Claude Sonnet 4.6 | Anthropic | 0m ago | 100 |
| 20 | GPT-5.1 | OpenAI | 0m ago | 100 |
How fresh is each provider's data? Sorted by average freshness score across all their models.
| Provider | Models | Avg Score |
|---|---|---|
| Inflection | 2 | 100.0 |
| Microsoft | 2 | 100.0 |
| Meta | 17 | 100.0 |
| deepcogito | 1 | 100.0 |
| Cohere | 4 | 100.0 |
| essentialai | 1 | 100.0 |
| IBM | 1 | 100.0 |
| eleutherai | 1 | 100.0 |
| Liquid AI | 5 | 100.0 |
| aion-labs | 3 | 100.0 |
| Mistral AI | 25 | 100.0 |
| Upstage | 1 | 100.0 |
| Writer | 1 | 100.0 |
| Amazon | 5 | 100.0 |
| Perplexity | 5 | 100.0 |
| Baidu | 5 | 100.0 |
| Allen AI | 7 | 100.0 |
| Moonshot AI | 5 | 100.0 |
| arcee-ai | 7 | 100.0 |
| Inception | 3 | 100.0 |
| DeepSeek | 12 | 100.0 |
| MiniMax | 6 | 100.0 |
| Alibaba | 51 | 100.0 |
| AI21 Labs | 1 | 100.0 |
| Tencent | 1 | 100.0 |
| NVIDIA | 8 | 100.0 |
| ByteDance | 4 | 100.0 |
| OpenAI | 59 | 100.0 |
| 24 | 100.0 | |
| xAI | 8 | 100.0 |
| StepFun | 2 | 100.0 |
| Xiaomi | 1 | 100.0 |
| Kuaishou | 1 | 100.0 |
| Meituan | 1 | 100.0 |
| Anthropic | 13 | 100.0 |
Computed as 100 minus the number of hours since the last update, capped at 100 hours. A score of 100 means the model was just updated; a score of 0 means it has not been updated in over 100 hours (4+ days).
Models are grouped into five tiers based on update recency: Just Updated (<1h), Fresh (1-6h), Recent (6-24h), Aging (1-7d), and Stale (>7d). Models without a known update timestamp are classified as Stale.
Stale data can lead to inaccurate rankings and outdated signal scores. Models with fresh data reflect the latest pricing, capabilities, and benchmark results. Monitoring freshness helps identify data pipeline issues early.
Dive deeper into model tracking, release velocity, and weekly trend analysis across the AI ecosystem.