LLM Comparison
Gemini 3.5 Flash-Lite vs MiMo-V2-Pro
Side-by-side specs, pricing & capabilities · Updated August 2026
Price vs Intelligence
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2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | 13 9.0 | 57 28.5 |
| Family | Gemini | MiMo |
| Status | Current | Current |
| Release Date | Jul 2026 | Mar 2026 |
| Context Window | 1.0M tokens | 1.0M tokens |
| Input Price | $0.30/M tokens | $1.00/M tokens |
| Output Price | $2.50/M tokens | $3.00/M tokens |
| Pricing Notes | DeepMind model page lists $0.30 input and $2.50 output per 1M tokens with no caching in the performance table. The ai.google.dev API docs were attempted through ScrapingBee and returned HTTP 400, so exact billing details beyond the official DeepMind price table were not used. | Cache read: $0.2000/M tokens |
| Capabilities | textvisionaudio-inputvideo-inputpdf-inputreasoningcodingtool-usesearch-groundingcomputer-usestructured-output | textcode |
| Max Output | 64K tokens | 131K tokens |
| API Identifier | gemini-3.5-flash-lite | xiaomi/mimo-v2-pro |
| Benchmarks | ||
| Artificial Analysis Intelligence Index | 36artificial-analysis | — |
| SWE-Bench Pro | 54.2google-deepmind | — |
| Terminal-Bench 2.1 | 54google-deepmind | — |
| GDPVal-AA v2 | 1140google-deepmind | — |
| View Gemini 3.5 Flash-Lite | View MiMo-V2-Pro | |
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| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| Gemini 3.5 Flash-LiteCheapest | $0.30 | $1.25 | $1.55 | — |
| MiMo-V2-Pro | $1.00 | $1.50 | $2.50 | +61% |
Gemini 3.5 Flash-Lite
Gemini 3.5 Flash-Lite is Google DeepMind general availability low-latency model for high-volume agentic systems, coding, document parsing, translation, and structured automation. Official DeepMind evidence lists 1M input tokens, 64k output tokens, text, image, video, audio, and PDF inputs, text output, tool use, Gemini API availability, and $0.30 input / $2.50 output pricing per million tokens.
Xiaomi
MiMo-V2-Pro
MiMo-V2-Pro is a large language model from Xiaomi. Supports up to 1,048,576 token context window. Available from $1.00/M input tokens.
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