Model comparison
Claude Opus 4 vs GLM-4.7
Claude Opus 4 is the stronger model overall, scoring 43.1 to 42.0 on the Noometry Index. GLM-4.7 costs 30× less per token, which makes it the better buy when Claude Opus 4's lead doesn't matter for your workload.
Last verified . 26 shared benchmarks.
Summary
- They share 26 benchmarks with published results for both. Claude Opus 4 scores higher in 6 categories and GLM-4.7 in 3 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in agentic & tool use, where Claude Opus 4 leads 34.8 to 26.5.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 64.4% for Claude Opus 4 and 83.3% for GLM-4.7.
- GLM-4.7 is cheaper at $0.60 / $2.20 per million input/output tokens, against $15 / $75 for Claude Opus 4.
- GLM-4.7 accepts more context: 205K tokens versus 200K.
- GLM-4.7 has downloadable open weights; the other is API-only.
Side by side
| Claude Opus 4 | GLM-4.7 | |
|---|---|---|
| Provider | Anthropic | Z.ai (Zhipu) |
| Noometry Index | 43.1 | 42.0 |
| Released | 2025-05-22 | 2025-12-22 |
| Weights | Proprietary | Open |
| Context window | 200K | 205K |
| Max output | 32K | 131K |
| Input $ / M tokens | $15 | $0.60 |
| Output $ / M tokens | $75 | $2.20 |
| Results tracked | 56 | 36 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Claude Opus 4 leads
Claude Opus 4: 47.2 (#62), GLM-4.7: 44.0 (#79)
| Benchmark | Claude Opus 4 | GLM-4.7 |
|---|---|---|
| LMArena Coding | 1442 | 1454 |
| SWE-bench Verified | 70.7% | — |
| SWE-bench Verified (bash only) | 67.6% | — |
| Aider Polyglot | 72% | — |
| LMArena WebDev | — | 1435 |
| SciCode | — | 45.1% |
| GSO | 6.9% | — |
| WeirdML | 43.7% | — |
| ALE-Bench | — | 399.48 |
| AlgoTune | 1.33 | — |
Agentic & Tool Use Claude Opus 4 leads
Claude Opus 4: 34.8 (#42), GLM-4.7: 26.5 (#103)
| Benchmark | Claude Opus 4 | GLM-4.7 |
|---|---|---|
| Terminal-Bench | — | 33.4% |
| Cybench | 38% | — |
| DeepResearch Bench | 46.8% | — |
| LMArena Search | 1127 | — |
| METR Time Horizons | 63.9% | — |
| Vending-Bench 2 | — | 2,377 |
Reasoning Claude Opus 4 leads
Claude Opus 4: 27.3 (#121), GLM-4.7: 24.3 (#164)
| Benchmark | Claude Opus 4 | GLM-4.7 |
|---|---|---|
| SimpleBench | 58.8% | 47.7% |
| CritPt | 0.3% | 1.7% |
| LMArena Hard Prompts | 1399 | 1443 |
| Epoch Capabilities Index | 142.67 | 143.51 |
| ARC-AGI-2 | 8.6% | — |
| Kagi LLM Benchmark | 74.3% | — |
| ARC-AGI-1 | 35.7% | — |
| Chess Puzzles | — | 6% |
| EnigmaEval | 5.6% | — |
| DTBench | 81.6% | — |
| LMCA | 37.4% | — |
| ForecastBench | 61.1 | — |
Math Claude Opus 4 leads
Claude Opus 4: 42.0 (#86), GLM-4.7: 38.6 (#135)
| Benchmark | Claude Opus 4 | GLM-4.7 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 64.4% | 83.3% |
| LMArena Math | 1390 | 1423 |
| FrontierMath (Feb 2025 set) | 4.5% | 2.4% |
| FrontierMath Tier 4 (v1) | 4.2% | 0% |
| ProofBench | — | 6% |
| Omni-MATH | 61.6% | — |
| MATH Level 5 | 85% | — |
Knowledge GLM-4.7 leads
Claude Opus 4: 44.0 (#88), GLM-4.7: 47.0 (#80)
| Benchmark | Claude Opus 4 | GLM-4.7 |
|---|---|---|
| GPQA Diamond | 76.3% | 83.3% |
| Vectara Hallucination Rate | 12% | 11.7% |
| LMArena Expert | 1386 | 1424 |
| Humanity's Last Exam | 10.7% | — |
| SimpleQA Verified | — | 32.2% |
| MMLU-Pro | 87.5% | — |
| Confabulations | 15.9% | — |
| GPQA (HELM) | 70.8% | — |
Multimodal Not comparable
Claude Opus 4: 31.5 (#106), GLM-4.7: —
| Benchmark | Claude Opus 4 | GLM-4.7 |
|---|---|---|
| LMArena Vision | 1192 | — |
| GeoBench | 49% | — |
| VPCT | 38% | — |
Multilingual GLM-4.7 leads
Claude Opus 4: 48.8 (#138), GLM-4.7: 52.8 (#79)
| Benchmark | Claude Opus 4 | GLM-4.7 |
|---|---|---|
| LMArena Non-English | 1362 | 1417 |
| LMArena Chinese | 1386 | 1495 |
| LMArena French | 1372 | 1432 |
| LMArena German | 1391 | 1424 |
| LMArena Japanese | 1331 | 1439 |
| LMArena Korean | 1321 | 1399 |
| LMArena Russian | 1392 | 1423 |
| LMArena Spanish | 1389 | 1434 |
Instruction Following Claude Opus 4 leads
Claude Opus 4: 77.1 (#28), GLM-4.7: 74.4 (#95)
| Benchmark | Claude Opus 4 | GLM-4.7 |
|---|---|---|
| LMArena Instruction Following | 1406 | 1411 |
| IFEval | 91.8% | — |
Long Context GLM-4.7 leads
Claude Opus 4: 39.6 (#172), GLM-4.7: 42.8 (#116)
| Benchmark | Claude Opus 4 | GLM-4.7 |
|---|---|---|
| LMArena Longer Query | 1422 | 1432 |
| Fiction.LiveBench | 61.1% | — |
| CL-bench | — | 15.9% |
| CL-bench Life | — | 10.9% |
Writing & Preference Too close to call
Claude Opus 4: 61.2 (#89), GLM-4.7: 60.9 (#93)
| Benchmark | Claude Opus 4 | GLM-4.7 |
|---|---|---|
| LMArena Text | 1377 | 1435 |
| LMArena Creative Writing | 1387 | 1401 |
| EQ-Bench Creative Writing | 1580 | 1413 |
| LMArena Multi-Turn | 1396 | 1446 |
| Short-Story Creative Writing | 83.6% | — |
| WildBench | 85.2% | — |
Frequently asked questions
Is Claude Opus 4 better than GLM-4.7?
Claude Opus 4 is the stronger model overall, scoring 43.1 to 42.0 on the Noometry Index. GLM-4.7 costs 30× less per token, which makes it the better buy when Claude Opus 4's lead doesn't matter for your workload.
Which is cheaper, Claude Opus 4 or GLM-4.7?
GLM-4.7 is cheaper. It lists at $0.60 per million input tokens and $2.20 per million output tokens; Claude Opus 4 lists at $15 and $75.
Is Claude Opus 4 or GLM-4.7 better for coding?
Claude Opus 4 scores higher on coding benchmarks: 47.2 versus 44.0 in the Noometry coding category.
Which has the bigger context window?
GLM-4.7 does, with 205K tokens against 200K.
How many benchmarks do Claude Opus 4 and GLM-4.7 share?
26 benchmarks have published results for both models. Claude Opus 4 has 56 scored results on Noometry and GLM-4.7 has 36.