GLM-5
by Z.ai (Zhipu) · ChinaThe first GLM-5, roughly doubling the 355B of the GLM-4.5 line, and the first open-weight model to score 50 on the Artificial Analysis Intelligence Index v4.0. Z.ai led its launch on SWE-bench Verified and Terminal-Bench 2.0.
Specification
The numbers
- Maker
- Z.ai (Zhipu)
- Released
- 2026-02
- Parameters
- 744B total / 40B active
- Architecture
- MoE
- Context window
- 200,000 tokens
- Max output
- 128,000 tokens
- Input
- Text
- Output
- Text
- Reasoning
- Not reported
- Tool calling
- Yes
- Knowledge cutoff
- Not reported
- Licence
- Not stated
- Availability
- Not reported
- Weights
- Downloadable
Cost
Price per million tokens
No public API price. The weights are published, so the only cost is the hardware you run it on.
Published scores
Benchmarks
Figures published by Z.ai (Zhipu) or taken from a public leaderboard. Row last checked 2026-10.
| Category | Score | Rank |
|---|---|---|
| ReasoningMulti-step logic on problems that cannot be looked up | Not reported | — |
| MathsCompetition mathematics, graded on the final answer | Not reported | — |
| CodingSWE-bench Verified, Terminal-Bench 2.0 | 67.0% | 4 of 4 reporting the same tests |
| KnowledgeBreadth of factual recall under exam conditions | Not reported | — |
| MultimodalReading charts, diagrams and photographs | Not reported | — |
| Instruction followingObeying an exact, checkable format | Not reported | — |
| Human preferenceWhich answer people pick, blind | Not reported | — |
A category averages every benchmark in it that GLM-5 reports. The rank counts only models that report the same tests, so it never compares an average over three benchmarks against an average over one.
Every reported test
| MMLU-ProKnowledge | Not reported | No figure published |
|---|---|---|
| GPQA DiamondReasoning | Not reported | No figure published |
| AIME 2025Maths | Not reported | No figure published |
| MATH-500Maths | Not reported | No figure published |
| SWE-bench VerifiedCoding | Rank 8 of 41 models reporting | |
| SWE-bench ProCoding | Not reported | No figure published |
| Terminal-Bench 2.0Coding | Rank 5 of 5 models reporting | |
| Terminal-Bench 2.1Coding | Not reported | No figure published |
| Frontier-Bench v0.1Reasoning | Not reported | No figure published |
| Terminal-Bench 4.0Coding | Not reported | No figure published |
| LiveCodeBenchCoding | Not reported | No figure published |
| HumanEvalCoding | Not reported | No figure published |
| MMMUMultimodal | Not reported | No figure published |
| IFEvalInstruction following | Not reported | No figure published |
| LMArena EloHuman preference | Not reported | No figure published |
Where these numbers come from
Every score on this page is a published figure, taken from the model's own card, system card, technical report or release post, or from a public leaderboard. CorX Labs did not run these evaluations. Most are self-reported by the lab that built the model, which means they were produced under that lab's own choice of prompt, scaffold and number of attempts — so treat them as a starting point for a shortlist, not as a settled ranking.
A score someone other than the model's maker measured is marked Independent and names its measurer. Those are the stronger numbers on this page — an outside harness has no reason to flatter anyone — and there are not many of them.
Where a figure has not been published, the cell reads Not reported rather than an estimate. Nothing here is inferred, interpolated or guessed. Each model records the month its row was last checked. Full method and caveats.
Head to head
GLM-5 compared
Same maker
Other models from Z.ai (Zhipu)
| GLM-5.3Z.ai (Zhipu) | Z.ai (Zhipu) | 1M | $1.40 | $4.40 | — | — | — | — | GLM-5.3 License |
| GLM-4.6Z.ai (Zhipu) | Z.ai (Zhipu) | 205K | $0.60 | $2.20 | — | 82.9% | 93.9% | 68% | MIT |
| GLM-4.5Z.ai (Zhipu) | Z.ai (Zhipu) | 131K | $0.60 | $2.20 | — | 79.1% | 91% | 64.2% | MIT |
| GLM-4.5-AirZ.ai (Zhipu) | Z.ai (Zhipu) | 131K | $0.20 | $1.10 | — | 75% | 89.4% | 57.6% | MIT |
| GLM-4-9BZ.ai (Zhipu) | Z.ai (Zhipu) | 131K | $0.03 | $0.06 | 45% | — | — | — | GLM License |