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Model comparison

DeepSeek V4 Pro vs Xiaomi MiMo-V2.5-Pro

DeepSeek against Xiaomi, compared on context, price, and verified benchmark results.

Catalog record checked September 3, 2026Individual provider fields may changeEvidence confidence: High — see receipts below

DeepSeek

DeepSeek V4 Pro

Frontier · Open weights

vs

Xiaomi

Xiaomi MiMo-V2.5-Pro

Frontier · Open weights

AI model capability comparison
SpecificationDeepSeek V4 ProXiaomi MiMo-V2.5-Pro
ProviderDeepSeekXiaomi
TierFrontierFrontier
Context window1M1M
Max output384KNot verifiedUnverified
Input / 1M tokens$1.32Winner: $1
Output / 1M tokens$3.96Winner: $3
WeightsOpenOpen
Parameters1.6T total / 49B active (MoE)1.02T total / 42B active (MoE)
Reasoning levelslow, high, maxlow, high, max
Modalitiestexttext, image
LicenseMITMIT
API model iddeepseek-v4-promimo-v2-5-pro
ReleasedApril 24, 2026April 22, 2026
Artificial Analysis Intelligence Index (2026-08-14)Winner: 5352
SWE-bench Verified (2026-04-24)80.6Not verifiedUnverified
GPQA Diamond (2026-04-24)90.1Not verifiedUnverified
Humanity's Last Exam (2026-04-24)48.2Not verifiedUnverified
MMLU-Pro (2026-04-24)87.5Not verifiedUnverified

Prices are USD per million tokens at standard rates, excluding batch and caching discounts. Bold indicates the better figure where one is objectively better. Values we could not confirm from the provider are shown as “Not verified” rather than estimated.

Benchmark receipts

  • 2026-08-14: Artificial AnalysisComposite index blending reasoning, knowledge, and coding evals into one 0–100 score. Comparability: directly comparable — AA occasionally rebaselines the index scale between snapshots — a score captured on one date is only comparable to same-snapshot scores (check measuredAt).
  • 2026-04-24: DeepSeek V4 Pro HF model card (vendor, Think Max, exact match)Real GitHub issue resolution: does the model's patch pass the hidden tests. Comparability: comparable with caveat — Post-audit vendor claims and pre-audit scores sit on different task trust levels; scaffolding (agent harness, compute budget) also dominates results. Never aggregate across scaffolds.

Pricing tiers: DeepSeek V4 Pro: Official peak rates $1.32/$3.96 per MTok; off-peak $0.66/$1.98 (cache-miss). Open weights (MIT). 1.6T/49B active MoE. · Xiaomi MiMo-V2.5-Pro: $1.00/$3.00 per MTok up to 256K prompt; $2.00/$6.00 above 256K (to 1M). Open weights (MIT). 1.02T/42B active MoE, native multimodal.

FrontierOpen weightsRecord checked September 3, 2026

DeepSeek V4 Pro

DeepSeek V4 Pro is the open-weight (MIT) flagship with a 1M-token context at a fraction of frontier API cost.

Best for

  • Cost-sensitive hosted agents
  • Open-weight deployments
  • High-volume coding

Watch out

Self-hosting needs datacentre VRAM; hosted rates vary by provider. Price single-source — verify.

FrontierOpen weightsRecord checked September 2, 2026

Xiaomi MiMo-V2.5-Pro

MiMo-V2.5-Pro is Xiaomi's open-weight (MIT) 1.02T MoE with native multimodal and a 1M context.

Best for

  • Open-weight frontier
  • Multimodal
  • Long-context

Watch out

Verify weights/pricing on your endpoint.

When the cheaper one wins

Xiaomi MiMo-V2.5-Pro is cheaper on output at $3 per million tokens against $3.96 for DeepSeek V4 Pro — about 1.3×. Use the cheaper tier for classification, extraction, summarisation, and any task where the expensive model’s extra score does not change the accepted output. The expensive one only pays if your hardest task actually fails on the cheap tier. These are standard-tier API rates, excluding batch and cache discounts.

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Evidence confidence: High

How strong and complete the evidence behind this comparison is — not a prediction of which model is better.

  • Pricing verified on both sides — Input and output rates are verified for both models.
  • 4/5 core specs verified on both sides — Not published for at least one side: max output.
  • 1 shared named benchmark (scores match) — Measured on: Artificial Analysis Intelligence Index — scores are equivalent, so the benchmark does not separate the pair.
  • Verified within the last 90 days — Newest catalog check was 8 days ago.
  • Both models carry source citations — Each side has at least two catalog sources on record.

Source receipts

Each catalog figure was checked against the provider or an independent second source on the date shown.

Related comparisons

Diving deeper on one model? DeepSeek V4 Pro · Xiaomi MiMo-V2.5-Pro

Common questions

DeepSeek V4 Pro vs Xiaomi MiMo-V2.5-Pro

Answered from the verified figures on this page rather than general guidance.

Is DeepSeek V4 Pro or Xiaomi MiMo-V2.5-Pro cheaper for input?

Xiaomi MiMo-V2.5-Pro is cheaper at $1 per million input tokens, against $1.32 for DeepSeek V4 Pro — roughly 1.3× the price. Output tokens usually dominate a real bill, so weigh the output rate more heavily than the input rate. These are base rates; DeepSeek V4 Pro has tiered pricing: Official peak rates $1.32/$3.96 per MTok; off-peak $0.66/$1.98 (cache-miss). Open weights (MIT). 1.6T/49B active MoE. Xiaomi MiMo-V2.5-Pro has tiered pricing: $1.00/$3.00 per MTok up to 256K prompt; $2.00/$6.00 above 256K (to 1M). Open weights (MIT). 1.02T/42B active MoE, native multimodal.

Is DeepSeek V4 Pro or Xiaomi MiMo-V2.5-Pro cheaper for output?

Xiaomi MiMo-V2.5-Pro is cheaper at $3 per million output tokens, against $3.96 for DeepSeek V4 Pro — roughly 1.3× the price. Output tokens usually dominate a real bill, so weigh the output rate more heavily than the input rate. These are base rates; DeepSeek V4 Pro has tiered pricing: Official peak rates $1.32/$3.96 per MTok; off-peak $0.66/$1.98 (cache-miss). Open weights (MIT). 1.6T/49B active MoE. Xiaomi MiMo-V2.5-Pro has tiered pricing: $1.00/$3.00 per MTok up to 256K prompt; $2.00/$6.00 above 256K (to 1M). Open weights (MIT). 1.02T/42B active MoE, native multimodal.

Which has the larger context window, DeepSeek V4 Pro or Xiaomi MiMo-V2.5-Pro?

Both accept about 1M tokens of context, so document length will not decide between them.

Do DeepSeek V4 Pro and Xiaomi MiMo-V2.5-Pro support the same reasoning levels?

Yes — both accept the same effort settings: "low", "high", "max". Higher effort costs more and takes longer, so start low and raise it only where output quality actually improves.

Should I use DeepSeek V4 Pro or Xiaomi MiMo-V2.5-Pro?

Both sit in the frontier tier, so the choice usually comes down to price and context rather than capability. DeepSeek V4 Pro suits cost-sensitive hosted agents; Xiaomi MiMo-V2.5-Pro suits open-weight frontier.

Next step

Choosing between them

The verified figures that separate this pair, computed from the catalog rather than restated boilerplate.

  • Input price: Xiaomi MiMo-V2.5-Pro costs $1 per 1M tokens versus $1.32 for DeepSeek V4 Pro — a 1.3x difference at the headline tier.
  • Measured capability: DeepSeek V4 Pro leads Artificial Analysis Intelligence Index 53 to 52 (measured 2026-08-14).
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