Who ranks #1 on the Multipl E Mbpp leaderboard?
As of August 20, 2026, Llama 3.1 405B Instruct by Meta ranks #1 on Multipl E Mbpp at 65.7%. API pricing is $0.89/M input and $0.89/M output.
As of August 20, 2026, Llama 3.1 405B Instruct is #1 for Multipl E Mbpp at 65.7%. Ranked by the Multipl E Mbpp score 3 models in this index have a published Multipl E Mbpp score. Multipl E Mbpp leaderboard: rank models by Multipl E Mbpp 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
282 models across 33 providers. Search or jump to a lab — every model page stays linked here.







As of August 20, 2026, Llama 3.1 405B Instruct by Meta is #1 for Multipl E Mbpp at 65.7%. Ranked by the Multipl E Mbpp score This board also tracks Multipl E Mbpp. Next on the same board: Llama 3.1 70B Instruct and Llama 3.1 8B Instruct. This multipl e mbpp leaderboard ranks models by Multipl E Mbpp. 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 | Multipl E Mbpp | Input /M | Output /M |
|---|---|---|---|---|
| 1 | Llama 3.1 405B Instruct | 65.7% | $0.89 | $0.89 |
| 2 | Llama 3.1 70B Instruct | 62% | $0.20 | $0.20 |
| 3 | Llama 3.1 8B Instruct | 52.4% | $0.03 | $0.03 |
Rank one eval at a time. All LLM benchmarks.
As of August 20, 2026, Llama 3.1 405B Instruct by Meta ranks #1 on Multipl E Mbpp at 65.7%. API pricing is $0.89/M input and $0.89/M output.
The current Multipl E Mbpp ranking as of August 20, 2026 is 1. Llama 3.1 405B Instruct at 65.7%; 2. Llama 3.1 70B Instruct at 62%; 3. Llama 3.1 8B Instruct at 52.4%.
Llama 3.1 8B Instruct is the cheapest scored model on this multipl e mbpp leaderboard at $0.03/M input and $0.03/M output ($0.06 blended). Llama 3.1 405B Instruct still leads Multipl E Mbpp at 65.7%.
Not automatically. Llama 3.1 405B Instruct leads Multipl E Mbpp, but a cheaper scored model can be the better production choice if the quality gap is small. Use the table to weigh Multipl E Mbpp 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.
Multipl E Mbpp is a public LLM eval (the Multipl E Mbpp score). This page ranks models that have published a score, next to live API prices.
This page is the Multipl E Mbpp leaderboard. Models are sorted by Multipl E Mbpp, 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 Multipl E Mbpp score next to live API $/M so you can pick a production SKU, not only a trophy number.