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Zai · model passport

Z.ai: GLM 5V Turbo

glm-5v-turbo
  • Cloud only
  • Proprietary licence
  • 202,752 context
  • Released 2026-09-13(first seen on LMArena)
10/27axes covered
Overall · LMArena
1,434#97 of 396
Best percentile
77.0Coding
Cohort standing
55.5median 60.6

What the data says

Benchmarked on 10 of 27 tracked axes. Every figure below is the model's own published result on that board.

Weakest axes

  • 2.6 pct — Document Arena (1,400)

Uneven: 74.4 percentile points between its best and worst axis — 77 pct on Coding versus 2.6 pct on Document Arena.

  • Coding77 pct1,488Verify →
  • Instruction following76.3 pct1,424Verify →
  • Overall75.8 pct1,434Verify →
  • Hard prompts75 pct1,453Verify →
  • IFBench (Artificial Analysis)70.4 pct61.1%Verify →
  • Vision Arena58.7 pct1,231Verify →
  • Factuality Arena52.3 pct1,441Verify →
  • LiveBench43.6 pct49.6%Verify →
  • WebDev Arena40.3 pct1,402Verify →
  • Document Arena2.6 pct1,400Verify →
  • Search ArenaNot benchmarked
  • Agent ArenaNot benchmarked
  • GPQA DiamondNot benchmarked
  • AIME (math)Not benchmarked
  • FrontierMathNot benchmarked
  • SimpleQA VerifiedNot benchmarked
  • ARC-AGI-2Not benchmarked
  • Humanity's Last ExamNot benchmarked
  • SimpleBenchNot benchmarked
  • BFCL v4 (function calling)Not benchmarked
  • SWE-bench Verified (live board)Not benchmarked
  • Terminal-Bench 4.0Not benchmarked
  • MMLU-Pro (Artificial Analysis)Not benchmarked
  • LiveCodeBench (Artificial Analysis)Not benchmarked
  • HHEM Hallucination (Vectara)Not benchmarked
  • SWE-bench VerifiedNot benchmarked
  • Terminal-BenchNot benchmarked

Percentiles are the model's standing within each board's own population. Axes marked "not benchmarked" have no published result for this model — that is an absence of data, not a low score.

How to run it

Use it hosted

API model IDz-ai/glm-5v-turbo
Context length202,752 tokens
Max output131,072 tokens
Acceptsimage, text, video
Input price$1.20 per 1M tokens
Cached input price$0.24 per 1M tokens
Output price$4 per 1M tokens

API parameters this endpoint supports

Include reasoningMax tokensReasoningResponse formatTemperatureTool choiceTool callingTop-kTop-p

Example request

curl https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"z-ai/glm-5v-turbo","messages":[{"role":"user","content":"Hello"}]}'

View on OpenRouter →

Identifiers, limits and prices are synced from the upstream source shown above. Any field we haven't synced is left out entirely rather than guessed.

  • glm-5v-turbo stands at 55.5 (raw mean 57.2) — measured on 10 of 27 axes.

    standingtemplateVerify →

  • glm-5v-turbo stands at 55.5 versus a cohort median of 60.6 across 175 models released within 180 days — below the peer median.

    cohorttemplateVerify →

Every claim is a computed fact from the current board data, phrased by a low-temperature model call and rejected by a validation gate if any number is not in the source row. How the leaderboards work →