Who ranks #1 on the Vqa Rad leaderboard?
As of August 30, 2026, MedGemma 4B IT by Google ranks #1 on Vqa Rad at 49.9%. API pricing is $0.02/M input and $0.04/M output.
As of August 30, 2026, MedGemma 4B IT is #1 for Vqa Rad at 49.9%. Ranked by the Vqa Rad score 1 models in this index have a published Vqa Rad score. Vqa Rad leaderboard: rank models by Vqa Rad next to live API token prices.
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As of August 30, 2026, MedGemma 4B IT by Google is #1 for Vqa Rad at 49.9%. Ranked by the Vqa Rad score This board also tracks Vqa Rad. This vqa rad leaderboard ranks models by Vqa Rad. Scores come from public evals. Prices are the live API rates in the table above.
Sources: OpenAI API pricing (https://developers.openai.com/api/docs/pricing); Anthropic Claude API pricing (https://platform.claude.com/docs/en/about-claude/pricing); Gemini API pricing (https://ai.google.dev/gemini-api/docs/pricing)
| Rank | Model | Vqa Rad | Input /M | Output /M |
|---|---|---|---|---|
| 1 | MedGemma 4B IT | 49.9% | $0.02 | $0.04 |
Rank one eval at a time. All LLM benchmarks.
As of August 30, 2026, MedGemma 4B IT by Google ranks #1 on Vqa Rad at 49.9%. API pricing is $0.02/M input and $0.04/M output.
MedGemma 4B IT currently leads Vqa Rad and is also the cheapest scored model on this page, at $0.02/M input and $0.04/M output ($0.06 blended).
Not automatically. MedGemma 4B IT leads Vqa Rad, but a cheaper scored model can be the better production choice if the quality gap is small. Use the table to weigh Vqa Rad against input/output price, context window, and related evals.
Scores and API prices on this page are refreshed from published evals and provider rates. The snapshot is labeled August 30, 2026. Treat it as a current index, not a one-off blog post.
Vqa Rad is a public LLM eval (the Vqa Rad score). This page ranks models that have published a score, next to live API prices.
This page is the Vqa Rad leaderboard. Models are sorted by Vqa Rad, with input and output token prices on the same row so you can weigh score against cost. Official boards often omit price; that comparison is the point of this index.
Official eval pages own the methodology. This page keeps the published Vqa Rad score next to live API $/M so you can pick a production SKU, not only a trophy number.