Who ranks #1 on the Mle Bench leaderboard?
As of August 20, 2026, Gemini 3.6 Flash by Google ranks #1 on Mle Bench at 63.9%. API pricing is $0.75/M input and $3.75/M output.
As of August 20, 2026, Gemini 3.6 Flash is #1 for Mle Bench at 63.9%. Ranked by the Mle Bench score 2 models in this index have a published Mle Bench score. Mle Bench leaderboard: rank models by Mle Bench next to live API token prices.
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As of August 20, 2026, Gemini 3.6 Flash by Google is #1 for Mle Bench at 63.9%. Ranked by the Mle Bench score This board also tracks Mle Bench. Next on the same board: Gemini 3.5 Flash-Lite. This mle bench leaderboard ranks models by Mle Bench. 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 | Mle Bench | Input /M | Output /M |
|---|---|---|---|---|
| 1 | Gemini 3.6 Flash | 63.9% | $0.75 | $3.75 |
| 2 | Gemini 3.5 Flash-Lite | 39.2% | $0.30 | $2.50 |
Rank one eval at a time. All LLM benchmarks.
As of August 20, 2026, Gemini 3.6 Flash by Google ranks #1 on Mle Bench at 63.9%. API pricing is $0.75/M input and $3.75/M output.
The current Mle Bench ranking as of August 20, 2026 is 1. Gemini 3.6 Flash at 63.9%; 2. Gemini 3.5 Flash-Lite at 39.2%.
Gemini 3.5 Flash-Lite is the cheapest scored model on this mle bench leaderboard at $0.30/M input and $2.50/M output ($2.80 blended). Gemini 3.6 Flash still leads Mle Bench at 63.9%.
Not automatically. Gemini 3.6 Flash leads Mle Bench, but a cheaper scored model can be the better production choice if the quality gap is small. Use the table to weigh Mle Bench 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.
Mle Bench is a public LLM eval (the Mle Bench score). This page ranks models that have published a score, next to live API prices.
This page is the Mle Bench leaderboard. Models are sorted by Mle Bench, 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 Mle Bench score next to live API $/M so you can pick a production SKU, not only a trophy number.