Model comparison
GLM-5 vs Grok 4.7
GLM-5 and Grok 4.7 score almost the same on the Noometry Index (45.9 vs 46.6), so choose on price, context window or the category you care about most.
Last verified . 15 shared benchmarks.
Summary
- They share 15 benchmarks with published results for both. GLM-5 scores higher in 5 categories and Grok 4.7 in 3 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-5 leads 52.2 to 38.7.
- GLM-5 is cheaper at $1 / $3.20 per million input/output tokens, against $2 / $6 for Grok 4.7.
- Grok 4.7 accepts more context: 500K tokens versus 205K.
- GLM-5 has downloadable open weights; the other is API-only.
Side by side
| GLM-5 | Grok 4.7 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | xAI |
| Noometry Index | 45.9 | 46.6 |
| Released | 2026-02-11 | 2026-09-21 |
| Weights | Open | Proprietary |
| Context window | 205K | 500K |
| Max output | 131K | 500K |
| Input $ / M tokens | $1 | $2 |
| Output $ / M tokens | $3.20 | $6 |
| Results tracked | 45 | 21 |
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Category by category
Coding Grok 4.7 leads
GLM-5: 49.0 (#47), Grok 4.7: 55.0 (#23)
| Benchmark | GLM-5 | Grok 4.7 |
|---|---|---|
| LMArena WebDev | 1434 | 1636 |
| LMArena Coding | 1461 | 1423 |
| SWE-bench Verified | 72.1% | — |
| SWE-bench Verified (bash only) | 72.8% | — |
| CursorBench | — | 46.3% |
| SWE-bench Multilingual | 69.7% | — |
| FrontierSWE | — | 29.5% |
| SciCode | — | 57.4% |
| WeirdML | 48.2% | — |
| ALE-Bench | 765.62 | — |
Agentic & Tool Use Not comparable
GLM-5: 30.9 (#65), Grok 4.7: —
| Benchmark | GLM-5 | Grok 4.7 |
|---|---|---|
| Terminal-Bench | 52.4% | — |
| τ²-bench Airline | 82.5% | — |
| τ²-bench Banking | 9.8% | — |
| τ²-bench Retail | 73.7% | — |
| τ²-bench Telecom | 86.8% | — |
| Vending-Bench 2 | 4,432 | — |
Reasoning Grok 4.7 leads
GLM-5: 27.6 (#100), Grok 4.7: 40.1 (#49)
| Benchmark | GLM-5 | Grok 4.7 |
|---|---|---|
| NYT Connections (extended) | 74.8% | 76.8% |
| LMArena Hard Prompts | 1451 | 1409 |
| ARC-AGI-2 | 4.9% | — |
| SimpleBench | 53.2% | — |
| Kagi LLM Benchmark | 75% | — |
| ARC-AGI-1 | 44.7% | — |
| CritPt | — | 17.7% |
| Chess Puzzles | 10% | — |
| Epoch Capabilities Index | 145.84 | — |
| ForecastBench | 61 | — |
Math GLM-5 leads
GLM-5: 44.8 (#66), Grok 4.7: 41.1 (#73)
| Benchmark | GLM-5 | Grok 4.7 |
|---|---|---|
| LMArena Math | 1440 | 1393 |
| MathArena Final-Answer Competitions | 65.7% | — |
| OTIS Mock AIME 2024-2025 | 80% | — |
| ProofBench | — | 34% |
| FrontierMath (Feb 2025 set) | 16.4% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge GLM-5 leads
GLM-5: 52.2 (#59), Grok 4.7: 38.7 (#130)
| Benchmark | GLM-5 | Grok 4.7 |
|---|---|---|
| LMArena Expert | 1454 | 1413 |
| GPQA Diamond | 87.8% | — |
| Vectara Hallucination Rate | 10.1% | — |
Multimodal Not comparable
GLM-5: —, Grok 4.7: 28.8 (#107)
| Benchmark | GLM-5 | Grok 4.7 |
|---|---|---|
| Furniture Assembly | — | 20.8% |
Multilingual GLM-5 leads
GLM-5: 53.9 (#57), Grok 4.7: 51.2 (#108)
| Benchmark | GLM-5 | Grok 4.7 |
|---|---|---|
| LMArena Non-English | 1430 | 1392 |
| LMArena Chinese | 1511 | 1476 |
| LMArena Russian | 1436 | 1396 |
| LMArena French | 1455 | — |
| LMArena German | 1445 | — |
| LMArena Japanese | 1416 | — |
| LMArena Korean | 1421 | — |
| LMArena Spanish | 1452 | — |
Instruction Following GLM-5 leads
GLM-5: 75.4 (#64), Grok 4.7: 74.3 (#98)
| Benchmark | GLM-5 | Grok 4.7 |
|---|---|---|
| LMArena Instruction Following | 1427 | 1406 |
Long Context GLM-5 leads
GLM-5: 44.6 (#58), Grok 4.7: 43.2 (#97)
| Benchmark | GLM-5 | Grok 4.7 |
|---|---|---|
| LMArena Longer Query | 1446 | 1416 |
| CL-bench | 18.7% | — |
Writing & Preference Grok 4.7 leads
GLM-5: 66.2 (#38), Grok 4.7: 70.1 (#23)
| Benchmark | GLM-5 | Grok 4.7 |
|---|---|---|
| LMArena Text | 1446 | 1397 |
| LMArena Creative Writing | 1438 | 1391 |
| EQ-Bench Creative Writing | 1601 | 2007 |
| LMArena Multi-Turn | 1456 | 1389 |
Frequently asked questions
Is GLM-5 better than Grok 4.7?
GLM-5 and Grok 4.7 score almost the same on the Noometry Index (45.9 vs 46.6), so choose on price, context window or the category you care about most.
Which is cheaper, GLM-5 or Grok 4.7?
GLM-5 is cheaper. It lists at $1 per million input tokens and $3.20 per million output tokens; Grok 4.7 lists at $2 and $6.
Is GLM-5 or Grok 4.7 better for coding?
Grok 4.7 scores higher on coding benchmarks: 55.0 versus 49.0 in the Noometry coding category.
Which has the bigger context window?
Grok 4.7 does, with 500K tokens against 205K.
How many benchmarks do GLM-5 and Grok 4.7 share?
15 benchmarks have published results for both models. GLM-5 has 45 scored results on Noometry and Grok 4.7 has 21.