Granite 4.2 30B
AI model by IBM. Real-time pricing and benchmark data.
Benchmarks
Editorial Analysis
Profile. Granite 4.2 30B is a budget-tier option from IBM at $0.65/M output tokens. Despite the low price, it scores competitively on Coding Index (29.9) and Intelligence Index (23.7) — making it a candidate for high-volume production workloads where unit cost dominates.
Latency. On latency, Granite 4.2 30B reports 76 tok/s output speed and 810ms time-to-first-token. Output speed is on the slower end; for real-time chat consider pairing with a streaming front-end or routing latency-sensitive requests to a faster model.
Cost model. For a workload of 1M input tokens + 100K output tokens, Granite 4.2 30B costs $0.23 per million input-equivalent requests. Multiply by your monthly request volume to project the bill, and compare against the speed/correctness profile above to decide if the trade-off is worth it for your workload.
Editorial summary generated from public pricing and benchmark data (Artificial Analysis API). All numbers are sourced — see the Artificial Analysis methodology for benchmark definitions. Last refreshed 2026-09-06.
Compare with similar models
| Model | Input | Output | Speed |
|---|---|---|---|
Granite 4.2 30BCurrent | $0.16 | $0.65 | 76 tok/s |
| Qwen3 VL 32B Instruct | $0.16 | $0.64 | 59 tok/s |
| Llama 4 Scout | $0.18 | $0.66 | 94 tok/s |
| Qwen3 32B (Reasoning) | $0.16 | $0.64 | 105 tok/s |
| Qwen3 32B (Non-reasoning) | $0.16 | $0.64 | 105 tok/s |
| Qwen3 VL 32B (Reasoning) | $0.16 | $0.64 | 89 tok/s |