Who ranks #1 on the Attaq leaderboard?
As of August 20, 2026, Granite 3.3 8B Instruct by IBM ranks #1 on Attaq at 88.5%. API pricing is $0.50/M input and $0.50/M output.
As of August 20, 2026, Granite 3.3 8B Instruct is #1 for Attaq at 88.5%. Ranked by the Attaq score 1 models in this index have a published Attaq score. Attaq leaderboard: rank models by Attaq next to live API token prices.
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As of August 20, 2026, Granite 3.3 8B Instruct by IBM is #1 for Attaq at 88.5%. Ranked by the Attaq score This board also tracks Attaq. This attaq leaderboard ranks models by Attaq. 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 | Attaq | Input /M | Output /M |
|---|---|---|---|---|
| 1 | Granite 3.3 8B Instruct | 88.5% | $0.50 | $0.50 |
Rank one eval at a time. All LLM benchmarks.
As of August 20, 2026, Granite 3.3 8B Instruct by IBM ranks #1 on Attaq at 88.5%. API pricing is $0.50/M input and $0.50/M output.
Granite 3.3 8B Instruct currently leads Attaq and is also the cheapest scored model on this page, at $0.50/M input and $0.50/M output ($1.00 blended).
Not automatically. Granite 3.3 8B Instruct leads Attaq, but a cheaper scored model can be the better production choice if the quality gap is small. Use the table to weigh Attaq 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.
Attaq is a public LLM eval (the Attaq score). This page ranks models that have published a score, next to live API prices.
This page is the Attaq leaderboard. Models are sorted by Attaq, 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 Attaq score next to live API $/M so you can pick a production SKU, not only a trophy number.