Model comparison
GLM-5V-Turbo vs GPT-4o mini
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 25.5 on the Noometry Index. GPT-4o mini costs 7.2× less per token, which makes it the better buy when GLM-5V-Turbo's lead doesn't matter for your workload.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. GLM-5V-Turbo scores higher in 9 categories and GPT-4o mini in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where GLM-5V-Turbo leads 39.4 to 10.4.
- GPT-4o mini is cheaper at $0.15 / $0.60 per million input/output tokens, against $1.20 / $4 for GLM-5V-Turbo.
- GLM-5V-Turbo accepts more context: 200K tokens versus 128K.
Side by side
| GLM-5V-Turbo | GPT-4o mini | |
|---|---|---|
| Provider | Z.ai (Zhipu) | OpenAI |
| Noometry Index | 43.8 | 25.5 |
| Released | 2026-04-01 | 2024-07-18 |
| Weights | Proprietary | Proprietary |
| Context window | 200K | 128K |
| Max output | 131K | 16K |
| Input $ / M tokens | $1.20 | $0.15 |
| Output $ / M tokens | $4 | $0.60 |
| Results tracked | 19 | 60 |
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Category by category
Coding GLM-5V-Turbo leads
GLM-5V-Turbo: 42.1 (#111), GPT-4o mini: 22.0 (#335)
| Benchmark | GLM-5V-Turbo | GPT-4o mini |
|---|---|---|
| LMArena Coding | 1466 | 1290 |
| Aider Polyglot | — | 3.6% |
| LMArena WebDev | 1401 | — |
| WeirdML | — | 11.8% |
| BigCodeBench Instruct | — | 46.1% |
| LiveBench Coding | — | 43.1% |
| BigCodeBench Complete | — | 57.4% |
| HumanEval+ | — | 83.5% |
| MBPP+ | — | 72.2% |
Agentic & Tool Use Not comparable
GLM-5V-Turbo: —, GPT-4o mini: 27.5 (#101)
| Benchmark | GLM-5V-Turbo | GPT-4o mini |
|---|---|---|
| BALROG | — | 17.4% |
Reasoning GLM-5V-Turbo leads
GLM-5V-Turbo: 29.7 (#89), GPT-4o mini: 8.7 (#347)
| Benchmark | GLM-5V-Turbo | GPT-4o mini |
|---|---|---|
| LMArena Hard Prompts | 1443 | 1267 |
| ARC-AGI-2 | — | 0% |
| SimpleBench | — | 10.7% |
| Kagi LLM Benchmark | — | 28.8% |
| Chess Puzzles | — | 0% |
| LiveBench Reasoning | — | 32.8% |
| Mystery Game Puzzles | — | 12% |
| DTBench | — | 54.4% |
| LiveBench Data Analysis | — | 50% |
| LMCA | — | 10.4% |
| Epoch Capabilities Index | — | 126.56 |
| LiveBench | — | 41.3% |
| PIQA | — | 88.7% |
Math GLM-5V-Turbo leads
GLM-5V-Turbo: 39.4 (#106), GPT-4o mini: 10.4 (#314)
| Benchmark | GLM-5V-Turbo | GPT-4o mini |
|---|---|---|
| LMArena Math | 1441 | 1267 |
| FrontierMath (Tiers 1-3) | — | 0.7% |
| OTIS Mock AIME 2024-2025 | — | 6.9% |
| Omni-MATH | — | 28% |
| LiveBench Math | — | 36.3% |
| MATH Level 5 | — | 52.6% |
| GSM8K | — | 91.3% |
Knowledge GLM-5V-Turbo leads
GLM-5V-Turbo: 40.6 (#117), GPT-4o mini: 17.7 (#284)
| Benchmark | GLM-5V-Turbo | GPT-4o mini |
|---|---|---|
| LMArena Expert | 1452 | 1235 |
| GPQA Diamond | — | 37.7% |
| SimpleQA Verified | — | 8.3% |
| MMLU-Pro | — | 60.3% |
| Confabulations | — | 37.2% |
| GPQA (HELM) | — | 36.8% |
| BoolQ | — | 88.7% |
| MMLU | — | 81.8% |
Multimodal GLM-5V-Turbo leads
GLM-5V-Turbo: 40.9 (#42), GPT-4o mini: 25.9 (#122)
| Benchmark | GLM-5V-Turbo | GPT-4o mini |
|---|---|---|
| LMArena Vision | 1264 | 1066 |
| Video-MME | — | 64.8% |
| GeoBench | — | 64% |
| VPCT | — | 34% |
| LMArena Document | 1416 | — |
Multilingual GLM-5V-Turbo leads
GLM-5V-Turbo: 53.0 (#73), GPT-4o mini: 42.0 (#199)
| Benchmark | GLM-5V-Turbo | GPT-4o mini |
|---|---|---|
| LMArena Non-English | 1420 | 1266 |
| LMArena Chinese | 1488 | 1265 |
| LMArena French | 1444 | 1297 |
| LMArena German | 1423 | 1272 |
| LMArena Korean | 1396 | 1195 |
| LMArena Russian | 1431 | 1275 |
| LMArena Spanish | 1450 | 1276 |
| LMArena Japanese | — | 1216 |
Instruction Following GLM-5V-Turbo leads
GLM-5V-Turbo: 75.0 (#80), GPT-4o mini: 61.9 (#239)
| Benchmark | GLM-5V-Turbo | GPT-4o mini |
|---|---|---|
| LMArena Instruction Following | 1423 | 1258 |
| LiveBench Instruction Following | — | 56.8% |
| IFEval | — | 78.2% |
Long Context GLM-5V-Turbo leads
GLM-5V-Turbo: 44.0 (#80), GPT-4o mini: 39.1 (#186)
| Benchmark | GLM-5V-Turbo | GPT-4o mini |
|---|---|---|
| LMArena Longer Query | 1438 | 1289 |
Writing & Preference GLM-5V-Turbo leads
GLM-5V-Turbo: 62.5 (#73), GPT-4o mini: 39.5 (#248)
| Benchmark | GLM-5V-Turbo | GPT-4o mini |
|---|---|---|
| LMArena Text | 1437 | 1286 |
| LMArena Creative Writing | 1416 | 1268 |
| LMArena Multi-Turn | 1432 | 1285 |
| Short-Story Creative Writing | — | 67.2% |
| EQ-Bench Creative Writing | — | 873 |
| WildBench | — | 79.1% |
| LiveBench Language | — | 28.6% |
Frequently asked questions
Is GLM-5V-Turbo better than GPT-4o mini?
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 25.5 on the Noometry Index. GPT-4o mini costs 7.2× less per token, which makes it the better buy when GLM-5V-Turbo's lead doesn't matter for your workload.
Which is cheaper, GLM-5V-Turbo or GPT-4o mini?
GPT-4o mini is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; GLM-5V-Turbo lists at $1.20 and $4.
Is GLM-5V-Turbo or GPT-4o mini better for coding?
GLM-5V-Turbo scores higher on coding benchmarks: 42.1 versus 22.0 in the Noometry coding category.
Which has the bigger context window?
GLM-5V-Turbo does, with 200K tokens against 128K.
How many benchmarks do GLM-5V-Turbo and GPT-4o mini share?
17 benchmarks have published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and GPT-4o mini has 60.