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Head-to-head comparison

MiMo-V2.6-Flash vs GLM 5.3

MiMo-V2.6-Flash (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 22 September 2026

As of 22 September 2026, MiMo-V2.6-Flash holds the stronger ModelCap Index position (#10 vs #11); MiMo-V2.6-Flash is 7.3× cheaper per output token ($0.28/1M vs $2.05/1M); GLM 5.3 offers the longer context window (1.3M vs 1M tokens); and MiMo-V2.6-Flash ships open weights.

Which should you choose?

Choose MiMo-V2.6-Flash if…

  • you want the stronger overall ModelCap Index position — #10 against #11 (84.4 vs 84.2 points).
  • API cost matters — $0.28/1M output tokens against $2.05/1M, about 7.3× cheaper.
  • your workload is prompt-heavy — input tokens cost $0.14/1M against $0.654/1M.
  • you want to self-host: MiMo-V2.6-Flash ships open weights while GLM 5.3 is restricted license.
  • you want the more recently listed model — MiMo-V2.6-Flash was listed 21 September 2026, GLM 5.3 18 August 2026.

Choose GLM 5.3 if…

  • you need the longer context window — 1.3M tokens against 1M.
  • you want provider choice — 30 listed API providers against 2.

MiMo-V2.6-Flash vs GLM 5.3: specs, pricing and context

Specification comparison of MiMo-V2.6-Flash and GLM 5.3
FieldMiMo-V2.6-FlashXiaomiGLM 5.3Z.ai
ModelCap Index position#10#11
Index score84.484.2
EvidenceEstimatedMeasured
Input price / 1M tokens$0.14$0.654
Output price / 1M tokens$0.28$2.05
Context window1M tokens1.3M tokens
Max output tokens131K131K
API providers listed230
Weight accessOpen weightsRestricted license
Input modalitiesText, Image, Video, AudioText
First listed21 September 202618 August 2026
PublisherXiaomiZ.ai

Evidence: publisher-corpus-prior over 208 held-out anchors (8%); launch card against 5 resolved peers on 7 rows (92%); exceeds every named peer on 1 of 7 rows; no cross-lab optimism probe available; shrunk 0.7 toward the measured corpus · 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-V2.6-Flash vs GLM 5.3

Public benchmark boards where MiMo-V2.6-Flash or GLM 5.3 has a published result
BoardMiMo-V2.6-FlashGLM 5.3Leads
Arena codingArena (LMArena)15241512–1536MaxOnly one result
LMArena AgentLMArena3.1%2.4%–3.7%MaxOnly one result
AA Intelligence IndexArtificial Analysis44.8intelligence-index:v4.3:maxOnly one result
AA Humanity's Last ExamArtificial Analysis42.3%hle:may-2025:text-only-2158:no-tools:pass-at-1:source-model="GLM-5.3 (max)":reasoning=trueOnly one result
Terminal-Bench 4.0Terminal-Bench (Laude Institute)41.8%38.6%–45.1%Claude Code · MaxOnly 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-V2.6-Flash vs GLM 5.3: common questions

Is MiMo-V2.6-Flash better than GLM 5.3?

MiMo-V2.6-Flash ranks higher on the ModelCap Index as of 22 September 2026: #10 against #11. 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-V2.6-Flash cheaper than GLM 5.3?

MiMo-V2.6-Flash is cheaper on output tokens: $0.28/1M against $2.05/1M. Input tokens are $0.14/1M for MiMo-V2.6-Flash and $0.654/1M 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 $0.42 for MiMo-V2.6-Flash versus $2.33 for GLM 5.3. MiMo-V2.6-Flash costs 82.0% 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-V2.6-Flash or GLM 5.3?

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

Which is better for coding, MiMo-V2.6-Flash or GLM 5.3?

The two models do not share a coding benchmark board on ModelCap yet, so no head-to-head coding score is published; the ModelCap Index position is the closest overall signal.

Are MiMo-V2.6-Flash and GLM 5.3 open-weight models?

MiMo-V2.6-Flash: 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-V2.6-Flash and GLM 5.3?

ModelCap currently lists 2 API providers for MiMo-V2.6-Flash and 30 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-V2.6-Flash vs GLM 5.3 comparison?

Every figure comes from the sealed ModelCap dataset published 22 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.

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