Who ranks #1 on the Infinitebench En Qa leaderboard?
As of August 20, 2026, Llama 3.2 3B Instruct by Meta ranks #1 on Infinitebench En Qa at 19.8%. API pricing is $0.01/M input and $0.02/M output.
As of August 20, 2026, Llama 3.2 3B Instruct is #1 for Infinitebench En Qa at 19.8%. Ranked by the Infinitebench En Qa score 1 models in this index have a published Infinitebench En Qa score. Infinitebench En Qa leaderboard: rank models by Infinitebench En Qa 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 3.2 3B Instruct by Meta is #1 for Infinitebench En Qa at 19.8%. Ranked by the Infinitebench En Qa score This board also tracks Infinitebench En Qa. This infinitebench en qa leaderboard ranks models by Infinitebench En Qa. 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 | Infinitebench En Qa | Input /M | Output /M |
|---|---|---|---|---|
| 1 | Llama 3.2 3B Instruct | 19.8% | $0.01 | $0.02 |
Rank one eval at a time. All LLM benchmarks.
As of August 20, 2026, Llama 3.2 3B Instruct by Meta ranks #1 on Infinitebench En Qa at 19.8%. API pricing is $0.01/M input and $0.02/M output.
Llama 3.2 3B Instruct currently leads Infinitebench En Qa and is also the cheapest scored model on this page, at $0.01/M input and $0.02/M output ($0.03 blended).
Not automatically. Llama 3.2 3B Instruct leads Infinitebench En Qa, but a cheaper scored model can be the better production choice if the quality gap is small. Use the table to weigh Infinitebench En Qa 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.
Infinitebench En Qa is a public LLM eval (the Infinitebench En Qa score). This page ranks models that have published a score, next to live API prices.
This page is the Infinitebench En Qa leaderboard. Models are sorted by Infinitebench En Qa, 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 Infinitebench En Qa score next to live API $/M so you can pick a production SKU, not only a trophy number.