m2m100-1.2b
meta
Multilingual encoder-decoder (seq-to-seq) model trained for Many-to-Many multilingual translation
- Context window
- — tokens
- Input cost
- $0.34 / 1M
- Output cost
- $0.34 / 1M
- Latency (p50)
- 83 ms
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Run side-by-side checks for pricing, context window, and latency.
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Qwen: Qwen2.5 Coder 7B Instruct is 1040% cheaper
💰Qwen: Qwen2.5 Coder 7B Instruct is 91% cheaper than m2m100-1.2b
⚡Qwen: Qwen2.5 Coder 7B Instruct is 83ms faster than m2m100-1.2b
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meta
Multilingual encoder-decoder (seq-to-seq) model trained for Many-to-Many multilingual translation
qwen
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,...