LLM Reference

Claude Sonnet 4.5 vs Xiaomi MiMo-V2.5-Pro

Claude Sonnet 4.5 (2025) and Xiaomi MiMo-V2.5-Pro (2026) compare a standalone API model against a coding-specialized model. Claude Sonnet 4.5 ships a 200k-token context window, while Xiaomi MiMo-V2.5-Pro ships a 1.05m-token context window. On MMLU PRO, Claude Sonnet 4.5 leads by 17.5 pts. On pricing, Claude Sonnet 4.5 ranges from $3 to $6/1M input tokens by tier; Xiaomi MiMo-V2.5-Pro costs $0.43/1M input tokens. This page treats the result as workflow and deployment fit, not a universal model winner.

Treat this as a product-type comparison: Claude Sonnet 4.5 is standalone API model, while Xiaomi MiMo-V2.5-Pro is coding-specialized model. Choose based on workflow fit before reading any benchmark or price row as decisive.

Decision scorecard

Local evidence first
SignalClaude Sonnet 4.5Xiaomi MiMo-V2.5-Pro
Product typeStandalone API modelCoding-specialized model
Best forreasoning-heavy apps, multimodal apps, and tool-calling agentscustom coding agents, code generation, and tool loops
Decision fitCoding, RAG, and AgentsCoding, RAG, and Agents
Context window200k1.05m
Cheapest output$15/1M tokens$0.87/1M tokens
Provider routes8 tracked3 tracked
Shared benchmarksMMLU PRO leader3 shared

Decision tradeoffs

Choose Claude Sonnet 4.5 when...
  • Claude Sonnet 4.5 holds a shared-benchmark lead on MMLU PRO, ahead by 17.5 points.
  • Claude Sonnet 4.5 has broader tracked provider coverage for fallback and route flexibility.
  • Claude Sonnet 4.5 uniquely exposes Vision, Multimodal, and Reasoning in local model data.
  • Local decision data tags Claude Sonnet 4.5 for Coding, RAG, and Agents.
Choose Xiaomi MiMo-V2.5-Pro when...
  • Xiaomi MiMo-V2.5-Pro holds a shared-benchmark lead on SWE-bench Verified, ahead by 1.7 points.
  • Xiaomi MiMo-V2.5-Pro has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Xiaomi MiMo-V2.5-Pro has the lower cheapest tracked output price at $0.87/1M tokens.
  • Local decision data tags Xiaomi MiMo-V2.5-Pro for Coding, RAG, and Agents.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output route or tier on this page.

Lower estimate Xiaomi MiMo-V2.5-Pro

Claude Sonnet 4.5

$6,150

Cheapest tracked route/tier: Microsoft Foundry

Xiaomi MiMo-V2.5-Pro

$566

Cheapest tracked route/tier: OpenRouter

Estimated monthly gap: $5,585. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

Claude Sonnet 4.5 -> Xiaomi MiMo-V2.5-Pro
  • Provider overlap exists on OpenRouter; start route-level A/B tests there.
  • Xiaomi MiMo-V2.5-Pro is $14.13/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Check replacement coverage for Vision, Multimodal, and Reasoning before moving production traffic.
Xiaomi MiMo-V2.5-Pro -> Claude Sonnet 4.5
  • Provider overlap exists on OpenRouter; start route-level A/B tests there.
  • Claude Sonnet 4.5 is $14.13/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • Claude Sonnet 4.5 adds Vision, Multimodal, and Reasoning in local capability data.

Specs

Specification
Released2025-09-292026-04-22
Context window200k1.05m
Parameters1T
ArchitectureDecoder OnlyMixture of Experts
LicenseProprietaryProprietary
OpennessProprietaryProprietary
WeightsNot releasedNot released
CodeUnknownUnknown
Commercial useCommercial use: conditionalCommercial use: conditional
Knowledge cutoff2025-12-

Pricing and availability

Pricing attributeClaude Sonnet 4.5Xiaomi MiMo-V2.5-Pro
Input price
0-200,001t
$3/1M tokens
200,001t+
$6/1M tokens
$0.43/1M tokens
Output price
0-200,001t
$15/1M tokens
200,001t+
$22.50/1M tokens
$0.87/1M tokens
Providers

Capabilities

CapabilityClaude Sonnet 4.5Xiaomi MiMo-V2.5-Pro
VisionYesNo
MultimodalYesNo
ReasoningYesNo
JSON / Tool useYesYes
Structured outputsYesYes
Code executionNoNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

BenchmarkClaude Sonnet 4.5Xiaomi MiMo-V2.5-Pro
MMLU PRO86.068.5
SWE-bench Verified77.278.9
Google-Proof Q&A83.466.7

Continue comparing

Last reviewed: 2026-07-26. Data sourced from public model cards and provider documentation.