LLM Comparison

Kimi K2.5 vs MiMo-V2.6-Flash

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

Price vs Intelligence

7266605447$0.15$0.45$0.76$1.06$1.37Avg Price per M tokensIntelligenceKimi K2.562.1 / $1.05MiMo-V2.6-Flash57.3 / $0.21

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2/6 models
Same tier:
 Moonshot AIKimi K2.5XiaomiMiMo-V2.6-Flash
OrganizationMoonshot AIMoonshot AIXiaomiXiaomi
OpenTools Score
62
59.1
57
273
FamilyKimiMiMo
StatusCurrentCurrent
Release DateJan 2026Sep 2026
Context Window262K tokens1.0M tokens
Input Price$0.38/M tokens$0.14/M tokens
Output Price$1.72/M tokens$0.28/M tokens
Pricing NotesCache read: $0.1913/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
Max Output66K tokens128K tokens
API Identifiermoonshotai/kimi-k2.5mimo-v2.6-flash
Benchmarks
GPQA Diamond
87.6https://huggingface.co/moonshotai/Kimi-K2.5
—
MMLU-Pro
87.1https://huggingface.co/moonshotai/Kimi-K2.5
—
Terminal-Bench 2.1
45.6929artificial-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 Kimi K2.5View 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—
Kimi K2.5$0.38$0.86$1.24+344%

Moonshot AI

Kimi K2.5

Kimi K2.5 is a multimodal llm from Moonshot AI. Supports up to 262,144 token context window. Available from $0.38/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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