Granite 4.2 8B: Model Overview & Integration Guide
Blog post from Deepinfra
DeepInfra’s overview introduces IBM’s Apache 2.0-licensed Granite 4.2 8B, an 8-billion-parameter reasoning model designed for coding, tool calling, structured output, and agentic workflows. The model provides full-thinking, low-effort, and non-thinking modes to balance reasoning depth against latency, supports a 128K-token native context window expandable to 512K, and officially handles 12 languages. Reported benchmark results include 86.67% on AIME 2025, 64.14% on GPQA, 74.04% on MMLU-Pro, and 47.67% on SWE-Bench Verified, positioning it between the smaller 3B and more resource-intensive 30B Granite variants. Available through DeepInfra’s OpenAI-compatible chat-completions API, it supports common generation controls, JSON schemas, function calling, and prompt caching, while responses can include internal reasoning in think tags followed by final answers. Pricing is listed at $0.06 per million input tokens, $0.25 per million output tokens, and $0.015 per million cached tokens, with private enterprise deployments also offered.
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| Multi-agent systems | 1 | 325 | 118 | 62 | -30% |
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