Who ranks #1 on the Mega Xcopa leaderboard?
As of August 20, 2026, Phi-3.5-mini-instruct by Microsoft ranks #1 on Mega Xcopa at 63.1%. API pricing is $0.10/M input and $0.10/M output.
As of August 20, 2026, Phi-3.5-mini-instruct is #1 for Mega Xcopa at 63.1%. Ranked by the Mega Xcopa score 1 models in this index have a published Mega Xcopa score. Mega Xcopa leaderboard: rank models by Mega Xcopa next to live API token prices.
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As of August 20, 2026, Phi-3.5-mini-instruct by Microsoft is #1 for Mega Xcopa at 63.1%. Ranked by the Mega Xcopa score This board also tracks Mega Xcopa. This mega xcopa leaderboard ranks models by Mega Xcopa. 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 | Mega Xcopa | Input /M | Output /M |
|---|---|---|---|---|
| 1 | Phi-3.5-mini-instruct | 63.1% | $0.10 | $0.10 |
Rank one eval at a time. All LLM benchmarks.
As of August 20, 2026, Phi-3.5-mini-instruct by Microsoft ranks #1 on Mega Xcopa at 63.1%. API pricing is $0.10/M input and $0.10/M output.
Phi-3.5-mini-instruct currently leads Mega Xcopa and is also the cheapest scored model on this page, at $0.10/M input and $0.10/M output ($0.20 blended).
Not automatically. Phi-3.5-mini-instruct leads Mega Xcopa, but a cheaper scored model can be the better production choice if the quality gap is small. Use the table to weigh Mega Xcopa 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.
Mega Xcopa is a public LLM eval (the Mega Xcopa score). This page ranks models that have published a score, next to live API prices.
This page is the Mega Xcopa leaderboard. Models are sorted by Mega Xcopa, 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 Mega Xcopa score next to live API $/M so you can pick a production SKU, not only a trophy number.