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Side-by-side comparison of API pricing, context window, latency, and benchmark performance. Data refreshed daily from provider APIs and ModelStop's own latency probes.
💰granite-4.0-h-micro is 77% cheaper than Google: Gemini 2.0 Flash Lite
⚡Google: Gemini 2.0 Flash Lite is 541ms faster than granite-4.0-h-micro
📈Google: Gemini 2.0 Flash Lite scores 1242.0 pts higher on benchmarks
Price (lower is better), Speed/Latency (lower is better), Performance (higher is better)
granite-4.0-h-micro is 341% cheaper
| Spec | granite-4.0-h-micro | Google: Gemini 2.0 Flash Lite |
|---|---|---|
| Provider | ibm-granite | |
| Input price / 1M tokens | $0.02 | $0.07 |
| Output price / 1M tokens | $0.11 | $0.30 |
| Context window | 131k tokens | 1049k tokens |
| Latency (p50) | 541ms | — |
| Best benchmark score | — | 1242.0 |
| Open source | No | No |
Granite 4.0 instruct models deliver strong performance across benchmarks, achieving industry-leading results in key agentic tasks like instruction following and function calling. These efficiencies make the models well-suited for a wide range of use cases like retrieval-augmented generation (RAG), multi-agent workflows, and edge deployments.
Gemini 2.0 Flash Lite offers a significantly faster time to first token (TTFT) compared to [Gemini Flash 1.5](/google/gemini-flash-1.5), while maintaining quality on par with larger models like [Gemini Pro 1.5](/google/gemini-pro-1.5),...
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