Model comparison
GLM-5V-Turbo vs Grok 4.5
Grok 4.5 is the stronger model overall, scoring 55.0 to 43.1 on the Noometry Index. GLM-5V-Turbo costs 1.6× less per token, which makes it the better buy when Grok 4.5's lead doesn't matter for your workload.
Last verified . 19 shared benchmarks.
Summary
- They share 19 benchmarks with published results for both. GLM-5V-Turbo scores higher in 1 category and Grok 4.5 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.5 leads 56.0 to 28.5.
- GLM-5V-Turbo is cheaper at $1.20 / $4 per million input/output tokens, against $2 / $6 for Grok 4.5.
- Grok 4.5 accepts more context: 500K tokens versus 200K.
Side by side
| GLM-5V-Turbo | Grok 4.5 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | xAI |
| Noometry Index | 43.1 | 55.0 |
| Released | 2026-04-01 | 2026-07-08 |
| Weights | Proprietary | Proprietary |
| Context window | 200K | 500K |
| Max output | 131K | 500K |
| Input $ / M tokens | $1.20 | $2 |
| Output $ / M tokens | $4 | $6 |
| Results tracked | 19 | 52 |
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Category by category
Coding Grok 4.5 leads
GLM-5V-Turbo: 41.8 (#105), Grok 4.5: 51.7 (#34)
| Benchmark | GLM-5V-Turbo | Grok 4.5 |
|---|---|---|
| LMArena WebDev | 1400 | 1552 |
| LMArena Coding | 1467 | 1473 |
| DeepSWE | — | 53.8% |
| FrontierCode | — | 42.4% |
| SciCode | — | 54.1% |
| WeirdML | — | 46.4% |
| ALE-Bench | — | 1,309 |
Agentic & Tool Use Not comparable
GLM-5V-Turbo: —, Grok 4.5: 44.4 (#15)
| Benchmark | GLM-5V-Turbo | Grok 4.5 |
|---|---|---|
| APEX-Agents | — | 56.2% |
| τ²-bench Banking | — | 47.9% |
| PostTrainBench | — | 23.4% |
| GBAEval | — | 65.4% |
| GDP.pdf | — | 14% |
| LMArena Search | — | 1213 |
| Vending-Bench 2 | — | 3,887 |
Reasoning Grok 4.5 leads
GLM-5V-Turbo: 28.5 (#87), Grok 4.5: 56.0 (#23)
| Benchmark | GLM-5V-Turbo | Grok 4.5 |
|---|---|---|
| LMArena Hard Prompts | 1443 | 1462 |
| ARC-AGI-2 | — | 52.6% |
| SimpleBench | — | 70% |
| Kagi LLM Benchmark | — | 83.5% |
| NYT Connections (extended) | — | 79.9% |
| ARC-AGI-1 | — | 87.2% |
| CritPt | — | 15.4% |
| Chess Puzzles | — | 36% |
| DTBench | — | 96.5% |
| LMCA | — | 45.2% |
| Surface Evolver Bench | — | 74.4% |
| Epoch Capabilities Index | — | 154.02 |
Math Grok 4.5 leads
GLM-5V-Turbo: 36.6 (#109), Grok 4.5: 60.7 (#29)
| Benchmark | GLM-5V-Turbo | Grok 4.5 |
|---|---|---|
| LMArena Math | 1440 | 1457 |
| FrontierMath (Tiers 1-3) | — | 57.2% |
| FrontierMath Tier 4 | — | 24.4% |
| OTIS Mock AIME 2024-2025 | — | 97.8% |
| ProofBench | — | 31% |
Knowledge Grok 4.5 leads
GLM-5V-Turbo: 39.9 (#113), Grok 4.5: 62.3 (#21)
| Benchmark | GLM-5V-Turbo | Grok 4.5 |
|---|---|---|
| LMArena Expert | 1451 | 1466 |
| GPQA Diamond | — | 93.4% |
| SimpleQA Verified | — | 48.3% |
Multimodal GLM-5V-Turbo leads
GLM-5V-Turbo: 40.1 (#41), Grok 4.5: 37.8 (#63)
| Benchmark | GLM-5V-Turbo | Grok 4.5 |
|---|---|---|
| LMArena Vision | 1264 | 1287 |
| LMArena Document | 1416 | 1452 |
| Blueprint-Bench 2 | — | 27.3% |
| Furniture Assembly | — | 22.5% |
Multilingual Grok 4.5 leads
GLM-5V-Turbo: 53.2 (#69), Grok 4.5: 54.5 (#43)
| Benchmark | GLM-5V-Turbo | Grok 4.5 |
|---|---|---|
| LMArena Non-English | 1420 | 1439 |
| LMArena Chinese | 1488 | 1497 |
| LMArena French | 1443 | 1458 |
| LMArena German | 1422 | 1448 |
| LMArena Korean | 1399 | 1402 |
| LMArena Russian | 1432 | 1447 |
| LMArena Spanish | 1446 | 1452 |
| LMArena Japanese | — | 1425 |
Instruction Following Grok 4.5 leads
GLM-5V-Turbo: 75.1 (#75), Grok 4.5: 76.3 (#45)
| Benchmark | GLM-5V-Turbo | Grok 4.5 |
|---|---|---|
| LMArena Instruction Following | 1422 | 1446 |
Long Context Too close to call
GLM-5V-Turbo: 44.0 (#76), Grok 4.5: 44.8 (#54)
| Benchmark | GLM-5V-Turbo | Grok 4.5 |
|---|---|---|
| LMArena Longer Query | 1439 | 1463 |
Writing & Preference Grok 4.5 leads
GLM-5V-Turbo: 62.6 (#69), Grok 4.5: 65.9 (#40)
| Benchmark | GLM-5V-Turbo | Grok 4.5 |
|---|---|---|
| LMArena Text | 1437 | 1448 |
| LMArena Creative Writing | 1414 | 1442 |
| LMArena Multi-Turn | 1432 | 1457 |
| EQ-Bench Creative Writing | — | 1579 |
Frequently asked questions
Is GLM-5V-Turbo better than Grok 4.5?
Grok 4.5 is the stronger model overall, scoring 55.0 to 43.1 on the Noometry Index. GLM-5V-Turbo costs 1.6× less per token, which makes it the better buy when Grok 4.5's lead doesn't matter for your workload.
Which is cheaper, GLM-5V-Turbo or Grok 4.5?
GLM-5V-Turbo is cheaper. It lists at $1.20 per million input tokens and $4 per million output tokens; Grok 4.5 lists at $2 and $6.
Is GLM-5V-Turbo or Grok 4.5 better for coding?
Grok 4.5 scores higher on coding benchmarks: 51.7 versus 41.8 in the Noometry coding category.
Which has the bigger context window?
Grok 4.5 does, with 500K tokens against 200K.
How many benchmarks do GLM-5V-Turbo and Grok 4.5 share?
19 benchmarks have published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and Grok 4.5 has 52.