# GLM-4.5 Air

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Canonical URL: https://benchize.com/models/glm-4-5-air
Last updated: Thu, 22 Oct 2026 05:40:11 GMT

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## Benchmarks

| Benchmark | Score | ± | Rank | Cost | Source |  |
| --- | --- | --- | --- | --- | --- | --- |
| [AIME 2025](https://benchize.com/benchmarks/aime-2025.md) | 83.33% | 95% CI 76.66–90% | 20 / 36 | 0.03usd per problem | [matharena · aime--aime_2025](https://matharena.ai/competition_tables/aime--aime_2025) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 83.33 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.026 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition aime--aime_2025 predicted false sourceModelName GLM 4.5 Air sourceModelVersion glm/glm-45-air ### Reported statistics Uncertainty 95% confidence interval: 76.66–90% confidenceInterval95 6.67 problems 30 ### Source [Original source](https://matharena.ai/competition_tables/aime--aime_2025) Source matharena Original model label GLM 4.5 Air Source version aime--aime_2025 Observed 2026-10-22T05:30:11.892Z Evidence SHA-256 `fab0abcecc4032852ef2cbd2a84d34ffc42202be358b2994bfaba44ae7a0cd9a` Source locator `/table/rows/33` |  |  |  |  |  |  |
| [NC Bench](https://benchize.com/benchmarks/nc-bench%3Aoverall.md) | 80.74% | — | 123 / 144 | — | [nc bench](https://www.nc-bench.com/models) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 80.74 \| percent \| reported \| Higher is better \| \| `tooling` \| 98.75 \| percent \| category \| Higher is better \| \| `creative_writing` \| 74.61 \| percent \| category \| Higher is better \| \| `language` \| 95.05 \| percent \| category \| Higher is better \| \| `utility` \| 76.57 \| percent \| category \| Higher is better \| \| `reasoning` \| 68.46 \| percent \| category \| Higher is better \| \| `text_editing` \| 94.38 \| percent \| category \| Higher is better \| \| `rule_following` \| 44.11 \| percent \| category \| Higher is better \| \| `hallucination` \| 94 \| percent \| category \| Higher is better \| ### Configuration Reasoning effort unknown Model configuration Z.AI GLM 4.5 Air thinkingEnabled Not reported ### Source [Original source](https://www.nc-bench.com/models) Source nc bench Original model label Z.AI GLM 4.5 Air Observed 2026-10-21T16:31:48.370Z Evidence SHA-256 `ec261022458543624b08a136d01f5a2f0666cd52ffb49c64d6ca983e8543d1b5` Source locator `/rows/162` |  |  |  |  |  |  |
| [HMMT Feb 2025](https://benchize.com/benchmarks/matharena%3Ahmmt--hmmt_feb_2025.md) | 69.17% | 95% CI 60.91–77.43% | 19 / 35 | 0.03usd per problem | [matharena · hmmt--hmmt_feb_2025](https://matharena.ai/competition_tables/hmmt--hmmt_feb_2025) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 69.17 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.031 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition hmmt--hmmt_feb_2025 predicted false sourceModelName GLM 4.5 Air sourceModelVersion glm/glm-45-air ### Reported statistics Uncertainty 95% confidence interval: 60.91–77.43% confidenceInterval95 8.26 problems 30 ### Source [Original source](https://matharena.ai/competition_tables/hmmt--hmmt_feb_2025) Source matharena Original model label GLM 4.5 Air Source version hmmt--hmmt_feb_2025 Observed 2026-10-22T05:30:12.126Z Evidence SHA-256 `8554225c26eb7a3c2649943ee7cf6b404ec1f7441b20fbdcfccbf35b9a864864` Source locator `/table/rows/31` |  |  |  |  |  |  |
| [ToneBench Scriptwriting](https://benchize.com/benchmarks/tonebench%3Ascripts.md) | 512.6 | Range 470.1–549.2 | 119 / 126 | — | [tonebench](https://benchmark.towardsai.com/data/leaderboard.json) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 512.6 \| rating \| reported \| Higher is better \| \| `overall` \| 59.47 \| percent \| reported \| Higher is better \| \| `anti_slop_numbers` \| 56.49 \| source_score \| rubric \| Higher is better \| \| `continuity_emotion` \| 60.25 \| source_score \| rubric \| Higher is better \| \| `cue_quality` \| 57.04 \| source_score \| rubric \| Higher is better \| \| `hook_strength` \| 72.59 \| source_score \| rubric \| Higher is better \| \| `length_adherence` \| 45.24 \| source_score \| rubric \| Higher is better \| \| `slop` \| 66.41 \| source_score \| rubric \| Higher is better \| \| `slop_score` \| 76.32 \| source_score \| rubric \| Higher is better \| \| `substance_accuracy` \| 62.73 \| source_score \| rubric \| Higher is better \| \| `tone_voice` \| 52.74 \| source_score \| rubric \| Higher is better \| \| `writing_quality` \| 62.34 \| source_score \| rubric \| Higher is better \| \| `youtube_best_practices` \| 58.49 \| source_score \| rubric \| Higher is better \| ### Configuration provider openrouter Reasoning effort unknown scoreScope 10_task_current sourceConfiguration glm-4-5-air-or ### Reported statistics Uncertainty Reported interval: 470.1–549.2 interval [470.1,549.2] rank 125 runCount 5 ### Source [Original source](https://benchmark.towardsai.com/data/leaderboard.json) Source tonebench Original model label GLM-4.5 Air (thinking on) Evaluated 2026-10-08 Observed 2026-10-22T04:40:14.102Z Evidence SHA-256 `4264338337f418d3ded7ace250cad64fe12cacbd4b79a312bfaf0ae9268a01c3` Source locator `/rows/124` |  |  |  |  |  |  |
| [CMIMC 2025](https://benchize.com/benchmarks/matharena%3Acmimc--cmimc_2025.md) | 71.88% | 95% CI 64.91–78.85% | 15 / 22 | 0.03usd per problem | [matharena · cmimc--cmimc_2025](https://matharena.ai/competition_tables/cmimc--cmimc_2025) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 71.88 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.031 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition cmimc--cmimc_2025 predicted false sourceModelName GLM 4.5 Air sourceModelVersion glm/glm-45-air ### Reported statistics Uncertainty 95% confidence interval: 64.91–78.85% confidenceInterval95 6.97 problems 40 ### Source [Original source](https://matharena.ai/competition_tables/cmimc--cmimc_2025) Source matharena Original model label GLM 4.5 Air Source version cmimc--cmimc_2025 Observed 2026-10-22T05:30:12.870Z Evidence SHA-256 `d5d48c1f54a744d7ff2244bae3258963afdb1ab36fb20464ea9cf47138a1555e` Source locator `/table/rows/25` |  |  |  |  |  |  |
| [SMT 2025](https://benchize.com/benchmarks/matharena%3Asmt--smt_2025.md) | 77.36% | 95% CI 71.73–82.99% | 20 / 26 | 0.03usd per problem | [matharena · smt--smt_2025](https://matharena.ai/competition_tables/smt--smt_2025) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 77.36 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.025 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition smt--smt_2025 predicted false sourceModelName GLM 4.5 Air sourceModelVersion glm/glm-45-air ### Reported statistics Uncertainty 95% confidence interval: 71.73–82.99% confidenceInterval95 5.63 problems 53 ### Source [Original source](https://matharena.ai/competition_tables/smt--smt_2025) Source matharena Original model label GLM 4.5 Air Source version smt--smt_2025 Observed 2026-10-22T05:30:12.647Z Evidence SHA-256 `1b4f6f8bafc1688e4557a024513f68befa31aff48fd0623fb4892a61263433b0` Source locator `/table/rows/33` |  |  |  |  |  |  |
| [BRUMO 2025](https://benchize.com/benchmarks/matharena%3Abrumo--brumo_2025.md) | 90% | 95% CI 84.63–95.37% | 13 / 26 | 0.02usd per problem | [matharena · brumo--brumo_2025](https://matharena.ai/competition_tables/brumo--brumo_2025) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 90.00 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.022 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition brumo--brumo_2025 predicted false sourceModelName GLM 4.5 Air sourceModelVersion glm/glm-45-air ### Reported statistics Uncertainty 95% confidence interval: 84.63–95.37% confidenceInterval95 5.37 problems 30 ### Source [Original source](https://matharena.ai/competition_tables/brumo--brumo_2025) Source matharena Original model label GLM 4.5 Air Source version brumo--brumo_2025 Observed 2026-10-22T05:30:12.351Z Evidence SHA-256 `d1d1c126b1feff70b2bcc20a7adbf380d94c2aaab0704704cb01593d4e1958ff` Source locator `/table/rows/21` |  |  |  |  |  |  |

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Cite as: GLM-4.5 Air — Benchize, https://benchize.com/models/glm-4-5-air (retrieved 2026-10-22)