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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.
💰tinyllama-1.1b-chat-v1.0 is 100% cheaper than Qwen: Qwen2.5 Coder 7B Instruct
Price (lower is better), Speed/Latency (lower is better), Performance (higher is better)
tinyllama-1.1b-chat-v1.0 is Infinity% cheaper
| Spec | tinyllama-1.1b-chat-v1.0 | Qwen: Qwen2.5 Coder 7B Instruct |
|---|---|---|
| Provider | tinyllama | qwen |
| Input price / 1M tokens | Free | $0.03 |
| Output price / 1M tokens | — | $0.09 |
| Context window | 2k tokens | 33k tokens |
| Latency (p50) | — | — |
| Best benchmark score | — | — |
| Open source | No | No |
The TinyLlama project aims to pretrain a 1.1B Llama model on 3 trillion tokens. This is the chat model finetuned on top of TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T.
Qwen2.5-Coder-7B-Instruct is a 7B parameter instruction-tuned language model optimized for code-related tasks such as code generation, reasoning, and bug fixing. Based on the Qwen2.5 architecture, it incorporates enhancements like RoPE,...
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