LLM Comparison
GPT-5.4 Pro vs MiMo-V2.6-Flash
Side-by-side specs, pricing & capabilities · Updated October 2026
Price vs Intelligence
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2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | 82 0.8 | 57 273 |
| Family | GPT | MiMo |
| Status | Current | Current |
| Release Date | Mar 2026 | Sep 2026 |
| Context Window | 1.1M tokens | 1.0M tokens |
| Input Price | $30.00/M tokens | $0.14/M tokens |
| Output Price | $180.00/M tokens | $0.28/M tokens |
| Pricing Notes | OpenAI's GPT-5.4 Pro model page lists $30 input and $180 output per 1M tokens. Prompts over 272K input tokens cost 2x input and 1.5x output for the full session (standard, batch and flex). Regional processing adds 10%. | 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 |
| Training Cutoff | Aug 31, 2025 | — |
| Max Output | 128K tokens | 128K tokens |
| API Identifier | openai/gpt-5.4-pro | mimo-v2.6-flash |
| Benchmarks | ||
| GPQA Diamond | 93openai | — |
| SWE-bench Pro | 57.7openai | — |
| MATH-500 | 94.6openai | — |
| 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 GPT-5.4 Pro | View MiMo-V2.6-Flash | |
Cost Calculator
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| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| MiMo-V2.6-FlashCheapest | $0.14 | $0.14 | $0.28 | — |
| GPT-5.4 Pro | $30.00 | $90.00 | $120.00 | +42757% |
OpenAI
GPT-5.4 Pro
GPT-5.4 Pro is a multimodal llm from OpenAI. Supports up to 1,050,000 token context window. Available from $30.00/M input tokens.
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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