GLM-4.7 (Novita): benchmark scores, price and ranking

GLM-4.7 (Novita) from Z.ai (Zhipu AI) ranks #355 of 743 LLMs on the LLMs Tiger aggregate benchmark score (48.4), based on 3 benchmark results captured up to 2026-10-13.

Organisation: Z.ai (Zhipu AI)
Type: Open-weight / local model
Open weights: Yes
Released: 2025-12-22 (source: epoch)
Cheapest API price: $0.400 in / $1.75 out per million tokens (via deepinfra, observed 2026-10-13T20:47Z)
Aggregate rank: #355 of 743 (score 48.4)

Across the 2 benchmarks where at least ten models are scored, GLM-4.7 (Novita) is in the top 10% on 0 and in the top half on 1.

Its cheapest listed input price, $0.400 per million tokens, is lower than that of 53% of the 427 models with a listed price.

GLM-4.7 (Novita) benchmark results

GLM-4.7 (Novita) benchmark scores, ranked against all models measured on each benchmark
Benchmark	Score	Rank	Source	Captured
SimpleBench	47.7%	#23 of 61	Epoch AI Benchmarking Hub	2026-10-13
CL-bench	15.9%	#10 of 16	Epoch AI Benchmarking Hub	2026-10-13
CL-bench Life	10.9%	#6 of 9	Epoch AI Benchmarking Hub	2026-10-13

About GLM-4.7 (Novita)

GLM-4.7 (Novita) is an open-weight model that can run on your own hardware from Z.ai (Zhipu AI). It was released on 2025-12-22, according to Epoch AI. The cheapest API listing we track charges $0.400 per million input tokens and $1.75 per million output tokens, through deepinfra. We hold 3 benchmark results for it across 2 areas, and none is in the top tenth of its board.

Where GLM-4.7 (Novita) stands

On our aggregate score, GLM-4.7 (Novita) is #355 of 743 ranked models, around the middle of the table. Its score is 48.4; the scale is centred on 50, so it sits 1.6 points below the typical model. That beats 52% of the ranked field. Among the 6 ranked Z.ai (Zhipu AI) models it is #5. The next one up is GLM-5.3-Flash (max) at 49.6. The next one down is GLM-4.7 at 47.7.

GLM-4.7 (Novita), benchmark by benchmark

SimpleBench puts GLM-4.7 (Novita) at 47.7%, #23 of 61. That beats 62% of the models tested, but 34.2 points short of Claude Fable 5 (max) (81.9%). The results either side are GLM-4.7 (47.7%) and Kimi K2.5 (46.8%). It covers trick questions that test common sense. The board median is 41.4%, so GLM-4.7 (Novita) is 6.3 points above it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

GLM-4.7 (Novita) lands below the middle on CL-bench: 15.9%, #10 of 16, with 56% of the field scoring higher. GPT-5.4 (xhigh) leads at 27.9%; the closest result above is Kimi K2 Thinking (Together) at 17.6%. It covers learning new rules from context. The board median is 17.7%, so GLM-4.7 (Novita) is 1.8 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

The full table above also lists the other 1 result, including boards with fewer than ten models, where a rank says little.

Strengths and weaknesses

GLM-4.7 (Novita) has too few results on boards with ten or more models to say where it is strong or weak. Treat any single score as a data point, not a verdict.

Price and value

The median input price across the 427 priced models is $0.500 per million tokens, so GLM-4.7 (Novita) costs less than the typical listing. Models that score within 1.5 points or better and cost less: Qwen2.5-Coder-7B-Instruct ($0.010, 49.5), DeepSeek V4.1 Flash (high) ($0.010, 48.9), DeepSeek V4 Flash 0731 (max) ($0.016, 53.1). Similar scores cost more on mimo-v2.5-pro ($0.435) and Inkling Small (xhigh) ($0.450).

Release history

The Z.ai (Zhipu AI) model released before it was GLM-4.7 on 2025-12-22, which scores 47.7. The next one was GLM-5 on 2026-02-12, at 51.5.

Reading these numbers

The 3 scores on this page come from 1 source: Epoch AI Benchmarking Hub (3). No official leaderboard supplied any of them, so treat them as third-party measurements. With 3 results the aggregate rank can move a lot when one new score arrives.

Models ranked nearby

#352 codestral-2405 (48.4)
#353 gemini-1.5-flash-002 (0924) (48.4)
#354 Grok Build + Grok 4.6 (48.4)
#356 yi-lightning (48.4)
#357 Kimi K2.6 (48.4)
#358 o1-mini (high) (48.4)