IBM Granite 4.2 8B Now Available on DeepInfra
Blog post from Deepinfra
DeepInfra announced the availability of IBM Granite 4.2 8B, an Apache 2.0-licensed dense reasoning model designed for enterprise workloads, coding agents, tool use, and workflow automation. The 8B-parameter model offers selectable per-query reasoning modes—full chain-of-thought, low-effort reasoning, and direct answers—allowing users to balance quality, latency, and compute costs without changing model weights. Post-trained through supervised fine-tuning, GRPO-based reinforcement learning, and preference alignment, it supports reasoning-augmented OpenAI-schema function calling, 12 languages, JSON output, and a native 128K-token context window, with a 512K extension available. IBM reports scores including 86.67 on AIME 2025 and 47.67 on SWE-Bench Verified, while noting that these self-reported results should be independently validated. Available through DeepInfra’s OpenAI-compatible API in bfloat16 precision, the model costs $0.06 per million input tokens, $0.25 per million output tokens, and $0.015 per million cached tokens, with the platform emphasizing zero data retention and SOC 2 and ISO 27001 certifications.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| AI Model Fine-tuning | 3 | 833 | 218 | 74 | +14% |
| Reinforcement learning | 2 | 139 | 79 | 35 | -14% |
| AI Agents | 1 | 6,921 | 1,636 | 267 | +23% |
| Vector Search | 1 | 1,956 | 410 | 132 | +17% |
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.