Who ranks #1 on the Vibe Backend leaderboard?
As of August 20, 2026, MiniMax M2.1 by MiniMax ranks #1 on Vibe Backend at 86.7%. API pricing is $0.30/M input and $1.20/M output.
As of August 20, 2026, MiniMax M2.1 is #1 for Vibe Backend at 86.7%. Ranked by the Vibe Backend score 1 models in this index have a published Vibe Backend score. Vibe Backend leaderboard: rank models by Vibe Backend next to live API token prices.
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As of August 20, 2026, MiniMax M2.1 by MiniMax is #1 for Vibe Backend at 86.7%. Ranked by the Vibe Backend score This board also tracks Vibe Backend. This vibe backend leaderboard ranks models by Vibe Backend. 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 | Vibe Backend | Input /M | Output /M |
|---|---|---|---|---|
| 1 | MiniMax M2.1 | 86.7% | $0.30 | $1.20 |
Rank one eval at a time. All LLM benchmarks.
As of August 20, 2026, MiniMax M2.1 by MiniMax ranks #1 on Vibe Backend at 86.7%. API pricing is $0.30/M input and $1.20/M output.
MiniMax M2.1 currently leads Vibe Backend and is also the cheapest scored model on this page, at $0.30/M input and $1.20/M output ($1.50 blended).
Not automatically. MiniMax M2.1 leads Vibe Backend, but a cheaper scored model can be the better production choice if the quality gap is small. Use the table to weigh Vibe Backend 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.
Vibe Backend is a public LLM eval (the Vibe Backend score). This page ranks models that have published a score, next to live API prices.
This page is the Vibe Backend leaderboard. Models are sorted by Vibe Backend, 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 Vibe Backend score next to live API $/M so you can pick a production SKU, not only a trophy number.