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MiMo-V2.5-Pro vs Mistral Medium 3.1

Detailed technical comparison between MiMo-V2.5-Pro (Xiaomi) and Mistral Medium 3.1 (Mistral). 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 WinsvsMistral Medium 3.1: 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

Mistral Medium 3.1

$0.40 / 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†’
Mistralactive

Mistral Medium 3.1

Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances...

View Mistral Medium 3.1 Full Specs β†’

Technical Specifications

πŸ† = Superior Spec
SpecificationMiMo-V2.5-ProMistral Medium 3.1
ProviderXiaomiMistral
Context Window1,050,000 tokensπŸ†131,072 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 Date2026-04-222025-08-13

API Pricing Comparison

Input Price per Million Tokens

MiMo-V2.5-Pro

$0.43

Mistral Medium 3.1

$0.40

Output Price per Million Tokens

MiMo-V2.5-Pro

$0.87

Mistral Medium 3.1

$2.00

πŸ’‘ Cost Ratio: Mistral Medium 3.1 is 1.1x 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%vs80.2%+6.4% MiMo-V2.5-Pro
MiMo-V2.5-Pro πŸ†
Mistral Medium 3.1
HumanEvalPython coding & logic synthesis
85.8%vs78.4%+7.4% MiMo-V2.5-Pro
MiMo-V2.5-Pro πŸ†
Mistral Medium 3.1
MATHComplex mathematical problem solving
67.0%vs55.6%+11.4% MiMo-V2.5-Pro
MiMo-V2.5-Pro πŸ†
Mistral Medium 3.1
GPQAGraduate-level expert reasoning
48.4%vs41.0%+7.4% MiMo-V2.5-Pro
MiMo-V2.5-Pro πŸ†
Mistral Medium 3.1
HellaSwagCommonsense reasoning and inference
87.6%vs83.2%+4.4% MiMo-V2.5-Pro
MiMo-V2.5-Pro πŸ†
Mistral Medium 3.1
MT-BenchMulti-turn conversation flow quality
9.0%vs8.6%+0.4% MiMo-V2.5-Pro
MiMo-V2.5-Pro πŸ†
Mistral Medium 3.1

MiMo-V2.5-Pro Quirks & Gotchas

No developer gotchas reported.

Mistral Medium 3.1 Quirks & Gotchas

No developer gotchas reported.

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