LLM Comparison
MiMo-V2.6-Flash vs Qwen3.5-9B
Side-by-side specs, pricing & capabilities · Updated October 2026
Price vs Intelligence
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2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | 57 273 | 34 270 |
| Family | MiMo | Qwen |
| Status | Current | Current |
| Release Date | Sep 2026 | Mar 2026 |
| Context Window | 1.0M tokens | 262K tokens |
| Input Price | $0.14/M tokens | $0.10/M tokens |
| Output Price | $0.28/M tokens | $0.15/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 | reasoningmultimodalcodingtool-useweb-searchstructured-outputcomputer-usecontext-cachingopen-weightslong-context | textvisionvideocode |
| Max Output | 128K tokens | — |
| API Identifier | mimo-v2.6-flash | qwen/qwen3.5-9b |
| Benchmarks | ||
| 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 | 29.2135artificial-analysis |
| Artificial Analysis Intelligence Index v4.3.2 | 37.8843590141754artificial-analysis | — |
| MMLU-Pro | — | 82.5alibaba |
| GPQA Diamond | — | 81.7alibaba |
| IFEval | — | 91.5alibaba |
| HMMT 2025 | — | 83.2alibaba |
| TAU2-Bench | — | 79.1alibaba |
| MMMU-Pro | — | 70.1alibaba |
| View MiMo-V2.6-Flash | View Qwen3.5-9B | |
Cost Calculator
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| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| Qwen3.5-9BCheapest | $0.10 | $0.08 | $0.18 | — |
| MiMo-V2.6-Flash | $0.14 | $0.14 | $0.28 | +60% |
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.
Alibaba
Qwen3.5-9B
Qwen3.5-9B is a multimodal llm from Alibaba. Supports up to 262,144 token context window. Achieves 87.5% on MMLU. Available from $0.10/M input tokens.
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