Model profile
GLM-5V-Turbo
Evidence coverage
15 of 323 tracked benchmarks are published. 2 are verified and 13 provisional. 6 of 8 categories are measured.
- Published / tracked
- 15 / 323
- Verified
- 2
- Provisional
- 13
- Categories with evidence
- 6 / 8
Evidence by category
- Agentic3 benchmarksMixed evidence
- Coding1 benchmarkReported
- Reasoning2 benchmarksReported
- Knowledge6 benchmarksReported
- Math0 benchmarksNot measured
- Multilingual0 benchmarksNot measured
- Multimodal2 benchmarksReported
- Inst. Following1 benchmarkReported
GLM-5V-Turbo ranks #39 out of 200 models on the public leaderboard with an overall score of 63.5/100. It also ranks #30 out of 99 on the verified leaderboard. While not a frontier model, it offers specific advantages depending on the use case.
GLM-5V-Turbo is a proprietary model with a 200K token context window. It processes queries without explicit chain-of-thought reasoning, offering faster response times and lower token usage.
GLM-5V-Turbo sits inside the GLM-5 family alongside GLM-5, GLM-5.2, GLM-5.1, GLM-5 (Reasoning), GLM-5-Turbo. This profile currently has 15 of 323 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.
Its strongest category is Coding (#28). This performance profile makes it particularly well-suited for software development and code generation tasks.
Peer position
Exact provisional scores and ranks for the closest listed peers. A score can appear before a model clears the evidence threshold for a rank, so equal scores can have different rank states.
Range 63.15–64.22
- Claude Opus 4.5AnthropicCompare#3464.22Claude Opus 4.5 is #34 with a score of 64.22.
- Claude Opus 4.6 (Adaptive)AnthropicCompare#3564.18Claude Opus 4.6 (Adaptive) is #35 with a score of 64.18.
- MiniMax M2.7MiniMaxCompare#3664.11MiniMax M2.7 is #36 with a score of 64.11.
- GLM-5.2Z.AICompare#3763.96GLM-5.2 is #37 with a score of 63.96.
- GPT-5.5 ProOpenAICompare#3863.69GPT-5.5 Pro is #38 with a score of 63.69.
- GLM-5V-TurboCurrent modelZ.AI#3963.5GLM-5V-Turbo is #39 with a score of 63.5.
- MiMo-V2-OmniXiaomiCompare#4063.15MiMo-V2-Omni is #40 with a score of 63.15.
Category percentile
More
Relative position among models eligible for each sourced category. A higher percentile means a stronger position within that category's ranked cohort; 100 is highest.
- Coding78%Eligible cohort rank #28 of 122Category score 58.6
Category evidence
Scores and ranks appear only where this model has published benchmark evidence. Categories without displayable source records remain not measured.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticRank Not rankedWeight 22%3 benchmarksMixed sources | 57.6 | Not ranked | Not available | 22% | 3 benchmarks | Mixed sources |
| CodingRank #28 of 122Percentile 78thWeight 20%1 benchmarkReported | 58.6 | #28 of 122 | 78th | 20% | 1 benchmark | Reported |
| ReasoningWeight 17%2 benchmarksReported | Score pending | Not ranked | Not available | 17% | 2 benchmarks | Reported |
| KnowledgeWeight 12%6 benchmarksReported | Score pending | Not ranked | Not available | 12% | 6 benchmarks | Reported |
| MathWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| MultimodalWeight 12%2 benchmarksReported | Score pending | Not ranked | Not available | 12% | 2 benchmarks | Reported |
| Inst. FollowingWeight 5%1 benchmarkReported | Score pending | Not ranked | Not available | 5% | 1 benchmark | Reported |
Chatbot Arena performance
Scroll horizontally to inspect confidence intervals and vote counts.
| View | Elo | Confidence interval | Votes |
|---|---|---|---|
| Text Overall | 1437 | ±7.7 | 6,753 |
| Coding | 1491 | ±13.9 | 1,912 |
| Math | 1449 | ±31.0 | 311 |
| Instruction Following | 1425 | ±12.9 | 2,249 |
| Creative Writing | 1406 | ±18.7 | 1,130 |
| Multi-turn | 1444 | ±18.6 | 1,071 |
| Hard Prompts | 1455 | ±9.3 | 4,414 |
| Hard Prompts (English) | 1470 | ±13.6 | 1,919 |
| Longer Query | 1447 | ±11.5 | 2,954 |
Benchmark Details
Rows below have a displayable published verification record. Each source link and provenance note remains in the page HTML while its category is closed. Source-unverified manual rows and generated rows stay hidden.
Agentic3 benchmarks
τ²-Bench Tool-Agent-User Evaluation
Gert Labs Composite Game Benchmark
Coding1 benchmark
Artificial Analysis SciCode
Reasoning2 benchmarks
Artificial Analysis Long Context Reasoning
Critical Physics Tasks
Knowledge6 benchmarks
Artificial Analysis GPQA Diamond
Artificial Analysis Humanity's Last Exam
Artificial Analysis Omniscience Index
Artificial Analysis Omniscience Accuracy
Artificial Analysis Omniscience Hallucination Rate
Multimodal2 benchmarks
Artificial Analysis MMMU-Pro
Design Arena Website Elo
Inst. Following1 benchmark
Artificial Analysis IFBench
Frequently Asked Questions
How does GLM-5V-Turbo perform overall in AI benchmarks?
GLM-5V-Turbo has 15 published benchmark scores on BenchLM, but it does not yet have enough non-generated coverage to receive a global overall rank.
Is GLM-5V-Turbo good for knowledge and understanding?
GLM-5V-Turbo has visible benchmark coverage in knowledge and understanding, but BenchLM does not currently assign it a global category rank there.
Is GLM-5V-Turbo good for coding and programming?
GLM-5V-Turbo ranks #28 out of 122 models in coding and programming benchmarks with an average score of 58.6. There are stronger options in this category.
Is GLM-5V-Turbo good for reasoning and logic?
GLM-5V-Turbo has visible benchmark coverage in reasoning and logic, but BenchLM does not currently assign it a global category rank there.
Is GLM-5V-Turbo good for agentic tool use and computer tasks?
GLM-5V-Turbo has visible benchmark coverage in agentic tool use and computer tasks, but BenchLM does not currently assign it a global category rank there.
Is GLM-5V-Turbo good for multimodal and grounded tasks?
GLM-5V-Turbo has visible benchmark coverage in multimodal and grounded tasks, but BenchLM does not currently assign it a global category rank there.
Is GLM-5V-Turbo good for instruction following?
GLM-5V-Turbo has visible benchmark coverage in instruction following, but BenchLM does not currently assign it a global category rank there.
Which sibling models are related to GLM-5V-Turbo?
GLM-5V-Turbo belongs to the GLM-5 family. Related variants on BenchLM include GLM-5, GLM-5.2, GLM-5.1, GLM-5 (Reasoning), GLM-5-Turbo.
Does GLM-5V-Turbo have full benchmark coverage on BenchLM?
Not yet. GLM-5V-Turbo currently has 15 published benchmark scores out of the 323 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.
What is the context window size of GLM-5V-Turbo?
GLM-5V-Turbo has a published context window of 200K, which determines how much text it can process in a single interaction.
Related Resources
Choose with this week’s evidence
Join 2,000+ readers for ranking moves, new releases, pricing changes, and the evidence behind them.
Free. One email per week.