AI Benchmark Model

Granite 4.2 8B

Benchmark scores, pricing, speed, and model comparisons for Granite 4.2 8B.

Key scores

Intelligence11.1Index score
Coding22.4Index score
Speed47.5Tokens/sec

Granite 4.2 8B is an artificial intelligence model developed by IBM and released on August 25, 2026. The model features an intelligence index of 19.6 and a coding index of 22.4. Performance metrics indicate an output speed of 104.966 tokens per second with a time to first token of 0.236 seconds. Pricing for the model is set at $0.06 per million tokens for input and $0.25 per million tokens for output, resulting in a blended rate of $0.11 per million tokens. Benchmark results for the model include a GPQA score of 0.631, an HLE score of 0.097, a SciCode score of 0.304, and an LCR score of 0.433.

No benchmark data available for this model.

Comparisons with Granite 4.2 8B

Generated Franklin AI comparison pages for this model.

Model ComparisonGranite 4.2 8B vs. Claude Opus 5: Evaluating Efficiency and ReasoningThis comparison examines the trade-offs between IBM’s Granite 4.2 8B and Anthropic’s Claude Opus 5. While Granite offers high-speed, low-cost performance for lightweight tasks, Claude Opus 5 provides superior reasoning cModel ComparisonGranite 4.2 8B vs. GPT-5.5 (xhigh): A Comparative AnalysisThis analysis compares IBM’s Granite 4.2 8B and OpenAI’s GPT-5.5 (xhigh), evaluating their performance benchmarks, operational costs, and speed to help users determine the optimal model for their specific technical and b