LLM Comparison
Llama Guard 4 12B vs MiMo-V2.6-Flash
Side-by-side specs, pricing & capabilities · Updated October 2026
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2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | 57 273 | |
| Family | Llama | MiMo |
| Status | Current | Current |
| Release Date | Apr 2025 | Sep 2026 |
| Context Window | 164K tokens | 1.0M tokens |
| Input Price | $0.18/M tokens | $0.14/M tokens |
| Output Price | $0.18/M tokens | $0.28/M tokens |
| Pricing Notes | — | USD per 1M tokens for Xiaomi MiMo pay-as-you-go API access. Cache-hit input is $0.0028 per 1M tokens. |
| Capabilities | textvisioncode | reasoningmultimodalcodingtool-useweb-searchstructured-outputcomputer-usecontext-cachingopen-weightslong-context |
| Max Output | 40 tokens | 128K tokens |
| API Identifier | meta-llama/llama-guard-4-12b | mimo-v2.6-flash |
| Benchmarks | ||
| LG4 English output-filter F1 | 61meta | — |
| LG4 multilingual output-filter F1 | 51meta | — |
| LG4 single-image output-filter F1 | 38meta | — |
| LG4 multi-image output-filter F1 | 52meta | — |
| DeepSWE v1.1 | — | 67.9xiaomi-mimo |
| AutomationBench v1.0.6 | — | 52.3xiaomi-mimo |
| Toolathlon-Verified | — | 73.6xiaomi-mimo |
| Terminal-Bench 4.0 | — | 28.8xiaomi-mimo |
| Terminal-Bench 2.1 | — | 87.6xiaomi-mimo |
| Artificial Analysis Intelligence Index v4.3.2 | — | 37.8843590141754artificial-analysis |
| View Llama Guard 4 12B | View MiMo-V2.6-Flash | |
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| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| Llama Guard 4 12BCheapest | $0.18 | $0.09 | $0.27 | — |
| MiMo-V2.6-Flash | $0.14 | $0.14 | $0.28 | +4% |
Meta
Llama Guard 4 12B
Llama Guard 4 12B is a Meta multimodal safety-classification model for text and image prompt or response moderation using MLCommons hazard categories.
Xiaomi
MiMo-V2.6-Flash
MiMo-V2.6-Flash is Xiaomi's MIT-licensed, open-weight multimodal reasoning model optimized for high-frequency and large-scale professional workloads. It supports text, image, video, and audio input, a one-million-token context window, 128K-token output, tool use, web search, structured output, and agent workflows.
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