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It supports a 400,000 token context window and up to 128,000 output tokens
Earlier iterations of this model were available as Horizon Alpha and Horizon Beta
| Model | Accuracy |
|---|---|
| Open AI GPT-5 | 74.9% |
| Claude Sonnet-4 | 70.4% |
| Qwen3-Coder | 69.6% |
| OpenAI o3 | 69.1% |
| Model | Best for |
|---|---|
| GPT-5 | Complex reasoning, broad world knowledge, and code-heavy tasks |
| GPT-5-mini | Balanced performance: cost-optimized chat, decent reasoning, fast speed |
| GPT-5-nano | High-throughput use cases like classification or simple Q&A |
Prices shown per 1M tokens:
Note:
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