Google's Gemini 4 Argon and Alibaba's Qwen3.8-Max compared on specs, pricing, and capabilities — as configured in AI Crucible ensembles.
| Specification | Gemini 4 Argon | Qwen3.8-Max |
|---|---|---|
| Provider | Alibaba | |
| API model ID | gemini-4-argon | qwen3.8-max |
| Description | Google's flagship Gemini 4 reasoning model for complex software engineering, deep math and science, and autonomous agents, with 1M context. | Alibaba's flagship Qwen3.8 model with 1M context, native thinking, and vision, at lower cost than Qwen3.7-Max. |
| Context window | 1.048576M tokens | 1M tokens |
| Max output tokens | 32,768 | 131,072 |
| Input cost ($/1M tokens) | $2.40 | $2.40 |
| Output cost ($/1M tokens) | $12.00 | $7.20 |
| Cache read cost ($/1M tokens) | $0.12 | $0.30 |
| Latency | high | medium |
| Reasoning model | Yes | Yes |
| Vision (image input) | Yes | Yes |
| Tool use | Yes | Yes |
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