AI Model Comparison
Side-by-side comparison of pricing, context window, benchmarks, capabilities, and license. Every figure comes from the developer's own pages, last checked on ; each model's page lists its sources. A figure we could not source shows as a dash.
Model A — Xiaomi
MiMo-V2.6-Flash is the efficient model of Xiaomi's MiMo-V2.6 series, a natively omnimodal sparse Mixture-of-Experts model with 309B total and 15B activated parameters and a 1M-token context, open-sourced under MIT.
Model B — Alibaba
Qwen3.8-Flash is a multimodal Qwen model with a million-token context window, aimed at coding assistance, agentic workflows and visual understanding. It is the hosted version of Qwen3.8-Flash-Next, which Qwen describes as an experimental preview of the architecture that will underpin Qwen4.
| Property | MiMo-V2.6-Flash | Qwen3.8-Flash |
|---|---|---|
| Released | Sep 22, 2026 | Aug 26, 2026 |
| Developer | Xiaomi | Alibaba |
| Type | multimodal | multimodal |
| License | open-weight | open-weight |
| Context window | — | 1,000,000 |
| Parameters | 309B total, 15B activated (sparse MoE); 681M-parameter vision encoder | 125B with 6B activated, plus 51B n-gram embedding and 4B MTP (open-weight base Qwen3.8-Flash-Next) |
| Developer status | — | — |
| Input $/M tokens | $0.14 | $0.15 |
| Output $/M tokens | $0.28 | $0.47 |
Bold green values indicate the winner on that dimension where comparison is meaningful (lower price wins; bigger context wins; more open license wins; newer date wins). Prices are the ones each developer lists today; a model it no longer prices has none.
Programmatic access available at /api/ai/compare?a=mimo-v2-6-flash&b=qwen-3-8-flash. CORS is open. Citation guidance: /about/editorial-process.