Skip to content
ModelCap

Head-to-head comparison

MiMo-V2.5-Pro vs GLM 5.3

MiMo-V2.5-Pro (Xiaomi) and GLM 5.3 (Z.ai) compared on the ModelCap Index, API price, context window, provider availability, weight access and every public benchmark board they share. Figures are the same ones shown on the live rankings; nothing here is a hidden score.

Snapshot as of 9 September 2026

As of 9 September 2026, GLM 5.3 holds the stronger ModelCap Index position (#8 vs #21); MiMo-V2.5-Pro is 5.1× cheaper per output token ($0.87/1M vs $4.40/1M); GLM 5.3 offers the longer context window (1.3M vs 1M tokens); and MiMo-V2.5-Pro ships open weights.

Which should you choose?

Choose MiMo-V2.5-Pro if…

  • API cost matters — $0.87/1M output tokens against $4.40/1M, about 5.1× cheaper.
  • your workload is prompt-heavy — input tokens cost $0.435/1M against $1.40/1M.
  • you want to self-host: MiMo-V2.5-Pro ships open weights while GLM 5.3 is restricted license.

Choose GLM 5.3 if…

  • you want the stronger overall ModelCap Index position — #8 against #21 (82.1 vs 72.8 points).
  • you need the longer context window — 1.3M tokens against 1M.
  • you want provider choice — 27 listed API providers against 7.
  • Arena coding is your yardstick — 1528 against 1520.
  • LMArena Agent is your yardstick — 2.6% against -5.1%.
  • AA Intelligence Index is your yardstick — 44.9 against 26.4.
  • AA Terminal-Bench 2.1 is your yardstick — 83.9% against 65.2%.
  • AA Humanity's Last Exam is your yardstick — 42.3% against 35.7%.
  • you want the more recently listed model — GLM 5.3 was listed 18 August 2026, MiMo-V2.5-Pro 22 April 2026.

MiMo-V2.5-Pro vs GLM 5.3: specs, pricing and context

Specification comparison of MiMo-V2.5-Pro and GLM 5.3
FieldMiMo-V2.5-ProXiaomiGLM 5.3Z.ai
ModelCap Index position#21#8
Index score72.882.1
EvidenceMeasuredMeasured
Input price / 1M tokens$0.435$1.40
Output price / 1M tokens$0.87$4.40
Context window1M tokens1.3M tokens
Max output tokens131K944K
API providers listed727
Weight accessOpen weightsRestricted license
Input modalitiesTextText
First listed22 April 202618 August 2026
PublisherXiaomiZ.ai

Evidence: 5 public benchmark observations across 5 boards · 4 public benchmark observations across 4 boards. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: MiMo-V2.5-Pro vs GLM 5.3

Public benchmark boards where MiMo-V2.5-Pro or GLM 5.3 has a published result
BoardMiMo-V2.5-ProGLM 5.3Leads
Arena codingArena (LMArena)15201514–152715281514–1541MaxGLM 5.3
LMArena AgentLMArena-5.1%-6.1%–-4.1%2.6%1.9%–3.2%MaxGLM 5.3
AA Intelligence IndexArtificial Analysis26.4intelligence-index:v4.3:reasoning-unspecified44.9intelligence-index:v4.3:maxGLM 5.3
AA Terminal-Bench 2.1Artificial Analysis65.2%terminal-bench:2.1:terminus-2:e2b:pass-at-1:3-repeats:source-model="MiMo-V2.5-Pro":reasoning=true83.9%terminal-bench:2.1:terminus-2:e2b:pass-at-1:3-repeats:source-model="GLM-5.3 (max)":reasoning=trueGLM 5.3
AA τ²-Bench TelecomArtificial Analysis94.2%tau2:telecom:dual-control:pass-at-1:3-repeats:source-model="MiMo-V2.5-Pro":reasoning=true—Only one result
AA Humanity's Last ExamArtificial Analysis35.7%hle:may-2025:text-only-2158:no-tools:pass-at-1:source-model="MiMo-V2.5-Pro":reasoning=true42.3%hle:may-2025:text-only-2158:no-tools:pass-at-1:source-model="GLM-5.3 (max)":reasoning=trueGLM 5.3
Terminal-Bench 4.0Terminal-Bench (Laude Institute)—41.8%38.6%–45.1%Claude Code · MaxOnly one result
WildClawBench OpenClawWildClawBench43.0—Only one result

Scores are the sources' own published figures for each model's best evaluated configuration; ModelCap never re-runs a benchmark.

Want a different pairing? Open the interactive comparison tool to swap either model for any current ranked language model.

MiMo-V2.5-Pro vs GLM 5.3: common questions

Is MiMo-V2.5-Pro better than GLM 5.3?

GLM 5.3 ranks higher on the ModelCap Index as of 9 September 2026: #8 against #21. That is a capability ranking built from public benchmark evidence with published uncertainty; whether it is "better" for you also depends on price, context and where you can run it. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.

Is MiMo-V2.5-Pro cheaper than GLM 5.3?

MiMo-V2.5-Pro is cheaper on output tokens: $0.87/1M against $4.40/1M. Input tokens are $0.435/1M for MiMo-V2.5-Pro and $1.40/1M for GLM 5.3. Prices are the lowest listed API offer ModelCap observed, in USD per million tokens. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $1.30 for MiMo-V2.5-Pro versus $5.00 for GLM 5.3. MiMo-V2.5-Pro costs 73.9% less in this scenario. This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the selected endpoint before budgeting.

Which has the bigger context window, MiMo-V2.5-Pro or GLM 5.3?

GLM 5.3 has the larger context window: 1.3M tokens against 1M.

Which is better for coding, MiMo-V2.5-Pro or GLM 5.3?

Arena coding: MiMo-V2.5-Pro 1520, GLM 5.3 1528 — GLM 5.3 leads. AA Terminal-Bench 2.1: MiMo-V2.5-Pro 65.2%, GLM 5.3 83.9% — GLM 5.3 leads.

Are MiMo-V2.5-Pro and GLM 5.3 open-weight models?

MiMo-V2.5-Pro: Open weights. GLM 5.3: Restricted license. Open weights mean the checkpoint can be downloaded and self-hosted under its licence; API-only models are available solely through hosted endpoints.

Where can I run MiMo-V2.5-Pro and GLM 5.3?

ModelCap currently lists 7 API providers for MiMo-V2.5-Pro and 27 for GLM 5.3, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.

How current is this MiMo-V2.5-Pro vs GLM 5.3 comparison?

Every figure comes from the sealed ModelCap dataset published 9 September 2026; the page re-renders within a minute of each data refresh, and the ModelCap Index positions are the same ones shown on the live rankings.

Explore further