Skip to content
ModelCap

Head-to-head comparison

LongCat 2.0 vs GLM 5.3

LongCat 2.0 (Meituan) 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 #13); LongCat 2.0 is 3.7× cheaper per output token ($1.20/1M vs $4.40/1M); and LongCat 2.0 ships open weights.

Which should you choose?

Choose LongCat 2.0 if…

  • API cost matters — $1.20/1M output tokens against $4.40/1M, about 3.7× cheaper.
  • your workload is prompt-heavy — input tokens cost $0.30/1M against $1.40/1M.
  • you want to self-host: LongCat 2.0 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 #13 (82.1 vs 79.0 points).
  • you want provider choice — 26 listed API providers against 1.
  • you want the more recently listed model — GLM 5.3 was listed 18 August 2026, LongCat 2.0 20 July 2026.

LongCat 2.0 vs GLM 5.3: specs, pricing and context

Specification comparison of LongCat 2.0 and GLM 5.3
FieldLongCat 2.0MeituanGLM 5.3Z.ai
ModelCap Index position#13#8
Index score79.082.1
EvidenceEstimatedMeasured
Input price / 1M tokens$0.30$1.40
Output price / 1M tokens$1.20$4.40
Context window1M tokens1M tokens
Max output tokens262K944K
API providers listed126
Weight accessOpen weightsRestricted license
Input modalitiesTextText
First listed20 July 202618 August 2026
PublisherMeituanZ.ai

Evidence: global-corpus-prior over 182 held-out anchors (7%); launch card against 4 resolved peers on 6 rows (93%); no cross-lab optimism probe available; shrunk 2 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: LongCat 2.0 vs GLM 5.3

Public benchmark boards where LongCat 2.0 or GLM 5.3 has a published result
BoardLongCat 2.0GLM 5.3Leads
Arena codingArena (LMArena)—15281514–1541MaxOnly one result
LMArena AgentLMArena—2.6%1.9%–3.2%MaxOnly one result
AA Intelligence IndexArtificial Analysis—44.9intelligence-index:v4.3:maxOnly one result
AA Terminal-Bench 2.1Artificial Analysis—83.9%terminal-bench:2.1:terminus-2:e2b:pass-at-1:3-repeats:source-model="GLM-5.3 (max)":reasoning=trueOnly one result
AA Humanity's Last ExamArtificial Analysis—42.3%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.

LongCat 2.0 vs GLM 5.3: common questions

Is LongCat 2.0 better than GLM 5.3?

GLM 5.3 ranks higher on the ModelCap Index as of 9 September 2026: #8 against #13. 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 LongCat 2.0 cheaper than GLM 5.3?

LongCat 2.0 is cheaper on output tokens: $1.20/1M against $4.40/1M. Input tokens are $0.30/1M for LongCat 2.0 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 $1.20 for LongCat 2.0 versus $5.00 for GLM 5.3. LongCat 2.0 costs 76.0% 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, LongCat 2.0 or GLM 5.3?

Both publish a 1M-token context window.

Which is better for coding, LongCat 2.0 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 LongCat 2.0 and GLM 5.3 open-weight models?

LongCat 2.0: 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 LongCat 2.0 and GLM 5.3?

ModelCap currently lists 1 API provider for LongCat 2.0 and 26 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 LongCat 2.0 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