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aiqbench

Model passport

Chatglm 6b

chatglm-6b
  • Open weights
  • Non-commercial licence
  • Released 2023-03-14(curated)
4/27axes covered
Overall · LMArena
996#392 of 396
Best percentile
1.8Coding
Cohort standing
22.3median 25.6

What the data says

Benchmarked on 4 of 27 tracked axes. Every figure below is the model's own published result on that board.

Weakest axes

  • 1.3 pct — Hard prompts (1,001)
  • 1.3 pct — Overall (996)
  • 1.5 pct — Instruction following (978)

Uneven: 0.5 percentile points between its best and worst axis — 1.8 pct on Coding versus 1.3 pct on Hard prompts.

  • Coding1.8 pct1,036Verify →
  • Instruction following1.5 pct978Verify →
  • Overall1.3 pct996Verify →
  • Hard prompts1.3 pct1,001Verify →
  • WebDev ArenaNot benchmarked
  • Vision ArenaNot benchmarked
  • Factuality ArenaNot benchmarked
  • Search ArenaNot benchmarked
  • Document 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
  • LiveBenchNot 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
  • IFBench (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.

  • chatglm-6b stands at 22.3 (raw mean 1.5) — measured on 4 of 27 axes.

    standingtemplateVerify →

  • chatglm-6b stands at 22.3 versus a cohort median of 25.6 across 27 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 →