LLM Comparison

GPT-5.4 Nano vs MiMo-V2.6-Flash

Side-by-side specs, pricing & capabilities · Updated October 2026

Price vs Intelligence

6757473728$0.15$0.35$0.54$0.74$0.94Avg Price per M tokensIntelligenceGPT-5.4 Nano37.5 / $0.72MiMo-V2.6-Flash57.3 / $0.21

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2/6 models
Same tier:
 OpenAIGPT-5.4 NanoXiaomiMiMo-V2.6-Flash
OrganizationOpenAIOpenAIXiaomiXiaomi
OpenTools Score
38
51.7
57
273
FamilyGPTMiMo
StatusCurrentCurrent
Release DateMar 2026Sep 2026
Context Window400K tokens1.0M tokens
Input Price$0.20/M tokens$0.14/M tokens
Output Price$1.25/M tokens$0.28/M tokens
Pricing NotesCache read: $0.0200/M tokensUSD 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 CutoffAug 31, 2025—
Max Output128K tokens128K tokens
API Identifieropenai/gpt-5.4-nanomimo-v2.6-flash
Benchmarks
Artificial Analysis Intelligence Index v4.3
21.2442artificial-analysis
—
GPQA Diamond
81.7172artificial-analysis
—
SciCode
47.2222artificial-analysis
—
Terminal-Bench 2.1
60.6742artificial-analysis
87.6xiaomi-mimo
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
Artificial Analysis Intelligence Index v4.3.2—
37.8843590141754artificial-analysis
 View GPT-5.4 NanoView MiMo-V2.6-Flash

Cost Calculator

Enter your expected monthly token usage to compare costs.

ModelInputOutputTotal / movs Best
MiMo-V2.6-FlashCheapest$0.14$0.14$0.28—
GPT-5.4 Nano$0.20$0.63$0.83+195%

OpenAI

GPT-5.4 Nano

GPT-5.4 Nano is a multimodal llm from OpenAI. Supports up to 400,000 token context window. Available from $0.20/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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