Who ranks #1 on the Piqa leaderboard?
As of August 31, 2026, Phi-3.5-MoE-instruct by Microsoft ranks #1 on Piqa at 88.6%. API pricing is $0.07/M input and $0.14/M output.
As of August 31, 2026, Phi-3.5-MoE-instruct is #1 for Piqa at 88.6%. Ranked by the Piqa score 7 models in this index have a published Piqa score. Piqa leaderboard: rank models by Piqa next to live API token prices.
Next step
Auth, billing, and the API layer are already decided. Fork 8 finished AI apps, or have us build the first version with you.
The index
345 models across 36 providers. Search or jump to a lab โ every model page stays linked here.









As of August 31, 2026, Phi-3.5-MoE-instruct by Microsoft is #1 for Piqa at 88.6%. Ranked by the Piqa score This board also tracks Piqa. Next on the same board: Hermes 3 70B and Gemma 2 27B. This piqa leaderboard ranks models by Piqa. 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 | Piqa | Input /M | Output /M |
|---|---|---|---|---|
| 1 | Phi-3.5-MoE-instruct | 88.6% | $0.07 | $0.14 |
| 2 | Hermes 3 70B | 84.4% | $0.35 | $1.40 |
| 3 | Gemma 2 27B | 83.2% | $0.65 | $0.65 |
| 4 | Gemma 2 9B | 81.7% | $0.20 | $0.20 |
| 5 | Phi-3.5-mini-instruct | 81% | $0.10 | $0.10 |
| 6 | Phi 4 Mini | 77.6% | $0.08 | $0.35 |
| 7 | ERNIE 4.5 | 55.2% | $0.40 | $4.00 |
Rank one eval at a time. All LLM benchmarks.
As of August 31, 2026, Phi-3.5-MoE-instruct by Microsoft ranks #1 on Piqa at 88.6%. API pricing is $0.07/M input and $0.14/M output.
The current Piqa ranking as of August 31, 2026 is 1. Phi-3.5-MoE-instruct at 88.6%; 2. Hermes 3 70B at 84.4%; 3. Gemma 2 27B at 83.2%.
Phi-3.5-mini-instruct is the cheapest scored model on this piqa leaderboard at $0.10/M input and $0.10/M output ($0.20 blended). Phi-3.5-MoE-instruct still leads Piqa at 88.6%.
Not automatically. Phi-3.5-MoE-instruct leads Piqa, but a cheaper scored model can be the better production choice if the quality gap is small. Use the table to weigh Piqa 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 31, 2026. Treat it as a current index, not a one-off blog post.
Piqa is a public LLM eval (the Piqa score). This page ranks models that have published a score, next to live API prices.
This page is the Piqa leaderboard. Models are sorted by Piqa, 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 Piqa score next to live API $/M so you can pick a production SKU, not only a trophy number.