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MiMo-V2.5-Pro vs MiniMax M1

Detailed technical comparison between MiMo-V2.5-Pro (Xiaomi) and MiniMax M1 (MiniMax). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

⚑ Executive Summary & Verdict

Comparison Snapshot

MiMo-V2.5-Pro: 0 WinsvsMiniMax M1: 6 Wins
Context Leader

MiMo-V2.5-Pro

1,050,000 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

MiMo-V2.5-Pro

$0.43 / MTok
Xiaomiactive

MiMo-V2.5-Pro

MiMo-V2.5-Pro is Xiaomi’s flagship model, delivering strong performance in general agentic capabilities, complex software engineering, and long-horizon tasks, with top rankings on benchmarks such as ClawEval, GDPVal, and SWE-bench Pro....

View MiMo-V2.5-Pro Full Specs β†’
MiniMaxactive

MiniMax M1

MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture paired with a custom "lightning attention" mechanism, allowing it...

View MiniMax M1 Full Specs β†’

Technical Specifications

πŸ† = Superior Spec
SpecificationMiMo-V2.5-ProMiniMax M1
ProviderXiaomiMiniMax
Context Window1,050,000 tokensπŸ†1,000,000 tokens
Agent SuitabilityNot yet benchmarkedNot yet benchmarked
Time to First Token (TTFT)No public TTFT dataNo public TTFT data
Deployment Modelmanaged apimanaged api
Production StabilityBeta Access (est.)Beta Access (est.)
API AvailableYesYes
Released Date2026-04-222025-06-17

API Pricing Comparison

Input Price per Million Tokens

MiMo-V2.5-Pro

$0.43

MiniMax M1

$0.55

Output Price per Million Tokens

MiMo-V2.5-Pro

$0.87

MiniMax M1

$2.20

πŸ’‘ Cost Ratio: MiMo-V2.5-Pro is 1.3x cheaper per input token than MiniMax M1.

Want to test both models live?

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Benchmark Performance Metrics

Standardized Scores (0–100%)

Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.

MMLUGeneral knowledge & multi-task understanding
86.6%vs86.8%+0.2% MiniMax M1
MiMo-V2.5-Pro
MiniMax M1 πŸ†
HumanEvalPython coding & logic synthesis
85.8%vs86.0%+0.2% MiniMax M1
MiMo-V2.5-Pro
MiniMax M1 πŸ†
MATHComplex mathematical problem solving
67.0%vs67.2%+0.2% MiniMax M1
MiMo-V2.5-Pro
MiniMax M1 πŸ†
GPQAGraduate-level expert reasoning
48.4%vs48.6%+0.2% MiniMax M1
MiMo-V2.5-Pro
MiniMax M1 πŸ†
HellaSwagCommonsense reasoning and inference
87.6%vs87.8%+0.2% MiniMax M1
MiMo-V2.5-Pro
MiniMax M1 πŸ†
MT-BenchMulti-turn conversation flow quality
9.0%vs9.0%+0.0% MiniMax M1
MiMo-V2.5-Pro
MiniMax M1 πŸ†

MiMo-V2.5-Pro Quirks & Gotchas

No developer gotchas reported.

MiniMax M1 Quirks & Gotchas

No developer gotchas reported.

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