Model comparison
Claude Instant vs GLM-4.6
GLM-4.6 has enough public results to be ranked (#135); Claude Instant does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in reasoning, where GLM-4.6 leads 23.7 to 19.6.
- GLM-4.6 has downloadable open weights; the other is API-only.
Side by side
| Claude Instant | GLM-4.6 | |
|---|---|---|
| Provider | Anthropic | Z.ai (Zhipu) |
| Noometry Index | 29.5 | 41.4 |
| Released | 2023-08-09 | 2025-09-30 |
| Weights | Proprietary | Open |
| Context window | — | 205K |
| Max output | — | 131K |
| Input $ / M tokens | — | $0.60 |
| Output $ / M tokens | — | $2.20 |
| Results tracked | 7 | 29 |
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Category by category
Coding Not comparable
Claude Instant: —, GLM-4.6: 40.1 (#148)
| Benchmark | Claude Instant | GLM-4.6 |
|---|---|---|
| SWE-bench Verified (bash only) | — | 55.4% |
| LMArena WebDev | — | 1340 |
| SciCode | — | 38.4% |
| LMArena Coding | — | 1449 |
| ALE-Bench | — | 340.82 |
| HumanEval+ | 50.6% | — |
Agentic & Tool Use Not comparable
Claude Instant: —, GLM-4.6: 32.3 (#66)
| Benchmark | Claude Instant | GLM-4.6 |
|---|---|---|
| Terminal-Bench | — | 24.5% |
| Berkeley Function Calling Leaderboard | — | 72.4% |
Reasoning GLM-4.6 leads
Claude Instant: 19.6, GLM-4.6: 23.7 (#172)
| Benchmark | Claude Instant | GLM-4.6 |
|---|---|---|
| Kagi LLM Benchmark | — | 47.4% |
| CritPt | — | 1.1% |
| LMArena Hard Prompts | — | 1440 |
| DTBench | 45.8% | — |
| Epoch Capabilities Index | 120.28 | — |
Math Not comparable
Claude Instant: —, GLM-4.6: 39.1 (#111)
| Benchmark | Claude Instant | GLM-4.6 |
|---|---|---|
| LMArena Math | — | 1432 |
| FrontierMath (Feb 2025 set) | — | 3.8% |
| FrontierMath Tier 4 (v1) | — | 2.1% |
| GSM8K | 86.7% | — |
Knowledge Not comparable
Claude Instant: —, GLM-4.6: 40.2 (#124)
| Benchmark | Claude Instant | GLM-4.6 |
|---|---|---|
| Vectara Hallucination Rate | — | 9.5% |
| LMArena Expert | — | 1431 |
| ARC (AI2) Challenge | 86.3% | — |
| MMLU | 73.4% | — |
| TriviaQA | 78.9% | — |
Multilingual Not comparable
Claude Instant: —, GLM-4.6: 53.5 (#66)
| Benchmark | Claude Instant | GLM-4.6 |
|---|---|---|
| LMArena Non-English | — | 1426 |
| LMArena Chinese | — | 1499 |
| LMArena French | — | 1459 |
| LMArena German | — | 1447 |
| LMArena Japanese | — | 1393 |
| LMArena Korean | — | 1400 |
| LMArena Russian | — | 1419 |
| LMArena Spanish | — | 1436 |
Instruction Following Not comparable
Claude Instant: —, GLM-4.6: 74.3 (#98)
| Benchmark | Claude Instant | GLM-4.6 |
|---|---|---|
| LMArena Instruction Following | — | 1410 |
Long Context Not comparable
Claude Instant: —, GLM-4.6: 43.4 (#94)
| Benchmark | Claude Instant | GLM-4.6 |
|---|---|---|
| LMArena Longer Query | — | 1422 |
Writing & Preference Not comparable
Claude Instant: —, GLM-4.6: 61.1 (#90)
| Benchmark | Claude Instant | GLM-4.6 |
|---|---|---|
| LMArena Text | — | 1440 |
| LMArena Creative Writing | — | 1411 |
| EQ-Bench Creative Writing | — | 1411 |
| LMArena Multi-Turn | — | 1427 |
Frequently asked questions
Is Claude Instant better than GLM-4.6?
GLM-4.6 has enough public results to be ranked (#135); Claude Instant does not yet, so treat this comparison as directional.
How many benchmarks do Claude Instant and GLM-4.6 share?
0 benchmarks have published results for both models. Claude Instant has 7 scored results on Noometry and GLM-4.6 has 29.