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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.
💰qwen2.5-coder-32b-instruct is 100% cheaper than AI21 Jamba 1.6 Mini
⚡AI21 Jamba 1.6 Mini is 340ms faster than qwen2.5-coder-32b-instruct
Price (lower is better), Speed/Latency (lower is better), Performance (higher is better)
| Spec | AI21 Jamba 1.6 Mini | qwen2.5-coder-32b-instruct |
|---|---|---|
| Provider | ai21 | qwen |
| Input price / 1M tokens | $0.20 | Free |
| Output price / 1M tokens | $0.40 | — |
| Context window | 256k tokens | 33k tokens |
| Latency (p50) | — | 340ms |
| Best benchmark score | — | — |
| Open source | No | No |
AI21 Jamba 1.6 Mini is a lightweight Mamba-Transformer hybrid optimized for cost-effective, high-throughput inference with an impressive 256K context window. An excellent choice for document-heavy workloads on a budget.
Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). As of now, Qwen2.5-Coder has covered six mainstream model sizes, 0.5, 1.5, 3, 7, 14, 32 billion parameters, to meet the needs of different developers. Qwen2.5-Coder brings the following improvements upon CodeQwen1.5:
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