Who ranks #1 on the Scienceqa Visual leaderboard?
As of August 20, 2026, Phi-4-multimodal-instruct by Microsoft ranks #1 on Scienceqa Visual at 97.5%. API pricing is $0.05/M input and $0.10/M output.
As of August 20, 2026, Phi-4-multimodal-instruct is #1 for Scienceqa Visual at 97.5%. Ranked by the Scienceqa Visual score 1 models in this index have a published Scienceqa Visual score. Scienceqa Visual leaderboard: rank models by Scienceqa Visual next to live API token prices.
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As of August 20, 2026, Phi-4-multimodal-instruct by Microsoft is #1 for Scienceqa Visual at 97.5%. Ranked by the Scienceqa Visual score This board also tracks Scienceqa Visual. This scienceqa visual leaderboard ranks models by Scienceqa Visual. 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 | Scienceqa Visual | Input /M | Output /M |
|---|---|---|---|---|
| 1 | Phi-4-multimodal-instruct | 97.5% | $0.05 | $0.10 |
Rank one eval at a time. All LLM benchmarks.
As of August 20, 2026, Phi-4-multimodal-instruct by Microsoft ranks #1 on Scienceqa Visual at 97.5%. API pricing is $0.05/M input and $0.10/M output.
Phi-4-multimodal-instruct currently leads Scienceqa Visual and is also the cheapest scored model on this page, at $0.05/M input and $0.10/M output ($0.15 blended).
Not automatically. Phi-4-multimodal-instruct leads Scienceqa Visual, but a cheaper scored model can be the better production choice if the quality gap is small. Use the table to weigh Scienceqa Visual 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 20, 2026. Treat it as a current index, not a one-off blog post.
Scienceqa Visual is a public LLM eval (the Scienceqa Visual score). This page ranks models that have published a score, next to live API prices.
This page is the Scienceqa Visual leaderboard. Models are sorted by Scienceqa Visual, 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 Scienceqa Visual score next to live API $/M so you can pick a production SKU, not only a trophy number.