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MiMo-V2.5-Pro vs DeepSeek V3.1

Detailed technical comparison between MiMo-V2.5-Pro (Xiaomi) and DeepSeek V3.1 (DeepSeek). 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: 6 WinsvsDeepSeek V3.1: 0 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

DeepSeek V3.1

$0.25 / 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†’
DeepSeekactive

DeepSeek V3.1

DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prompt templates. It extends the DeepSeek-V3 base with a two-phase long-context...

View DeepSeek V3.1 Full Specs β†’

Technical Specifications

πŸ† = Superior Spec
SpecificationMiMo-V2.5-ProDeepSeek V3.1
ProviderXiaomiDeepSeek
Context Window1,050,000 tokensπŸ†163,840 tokens
Agent SuitabilityNot yet benchmarkedNot yet benchmarked
Time to First Token (TTFT)No public TTFT dataNo public TTFT data
Deployment Modelmanaged apiself hostable
Production StabilityBeta Access (est.)Stable GA (est.)
API AvailableYesYes
Released Date2026-04-222025-08-21

API Pricing Comparison

Input Price per Million Tokens

MiMo-V2.5-Pro

$0.43

DeepSeek V3.1

$0.25

Output Price per Million Tokens

MiMo-V2.5-Pro

$0.87

DeepSeek V3.1

$0.95

πŸ’‘ Cost Ratio: DeepSeek V3.1 is 1.7x cheaper per input token than MiMo-V2.5-Pro.

Want to test both models live?

Run side-by-side prompt benchmarks in our dynamic multi-model Sandbox. Compare execution speeds, latency metrics, and compute actual costs in real-time.

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%vs80.0%+6.6% MiMo-V2.5-Pro
MiMo-V2.5-Pro πŸ†
DeepSeek V3.1
HumanEvalPython coding & logic synthesis
85.8%vs78.2%+7.6% MiMo-V2.5-Pro
MiMo-V2.5-Pro πŸ†
DeepSeek V3.1
MATHComplex mathematical problem solving
67.0%vs55.4%+11.6% MiMo-V2.5-Pro
MiMo-V2.5-Pro πŸ†
DeepSeek V3.1
GPQAGraduate-level expert reasoning
48.4%vs40.8%+7.6% MiMo-V2.5-Pro
MiMo-V2.5-Pro πŸ†
DeepSeek V3.1
HellaSwagCommonsense reasoning and inference
87.6%vs83.0%+4.6% MiMo-V2.5-Pro
MiMo-V2.5-Pro πŸ†
DeepSeek V3.1
MT-BenchMulti-turn conversation flow quality
9.0%vs8.6%+0.5% MiMo-V2.5-Pro
MiMo-V2.5-Pro πŸ†
DeepSeek V3.1

MiMo-V2.5-Pro Quirks & Gotchas

No developer gotchas reported.

DeepSeek V3.1 Quirks & Gotchas

No developer gotchas reported.

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