Model comparison
GLM-4.6V vs GLM-5.1
GLM-5.1 is the stronger model overall, scoring 47.6 to 40.9 on the Noometry Index. GLM-4.6V costs 4.8× less per token, which makes it the better buy when GLM-5.1's lead doesn't matter for your workload.
Last verified . 11 shared benchmarks.
Summary
- They share 11 benchmarks with published results for both. GLM-4.6V scores higher in 0 categories and GLM-5.1 in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-5.1 leads 55.0 to 37.4.
- GLM-4.6V is cheaper at $0.30 / $0.90 per million input/output tokens, against $1.40 / $4.40 for GLM-5.1.
- GLM-5.1 accepts more context: 200K tokens versus 128K.
Side by side
| GLM-4.6V | GLM-5.1 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Z.ai (Zhipu) |
| Noometry Index | 40.9 | 47.6 |
| Released | 2025-12-08 | 2026-04-07 |
| Weights | Open | Open |
| Context window | 128K | 200K |
| Max output | 33K | 131K |
| Input $ / M tokens | $0.30 | $1.40 |
| Output $ / M tokens | $0.90 | $4.40 |
| Results tracked | 12 | 41 |
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Category by category
Coding GLM-5.1 leads
GLM-4.6V: 40.2 (#128), GLM-5.1: 48.5 (#52)
| Benchmark | GLM-4.6V | GLM-5.1 |
|---|---|---|
| LMArena Coding | 1390 | 1486 |
| SWE-bench Verified | — | 74.2% |
| LMArena WebDev | — | 1509 |
| SciCode | — | 43.8% |
| WeirdML | — | 57.1% |
| ALE-Bench | — | 887.1 |
Agentic & Tool Use Not comparable
GLM-4.6V: —, GLM-5.1: 24.8 (#106)
| Benchmark | GLM-4.6V | GLM-5.1 |
|---|---|---|
| APEX-Agents | — | 40.9% |
| ExploitBench | — | 18.1% |
| GBAEval | — | 0% |
| Vending-Bench 2 | — | 5,634 |
Reasoning GLM-5.1 leads
GLM-4.6V: 26.5 (#117), GLM-5.1: 38.2 (#57)
| Benchmark | GLM-4.6V | GLM-5.1 |
|---|---|---|
| LMArena Hard Prompts | 1368 | 1472 |
| SimpleBench | — | 55.1% |
| NYT Connections (extended) | — | 77.7% |
| CritPt | — | 4.6% |
| Chess Puzzles | — | 19% |
| Thematic Generalization | — | 69.8% |
| Epoch Capabilities Index | — | 149.86 |
Math Not comparable
GLM-4.6V: —, GLM-5.1: 49.0 (#48)
| Benchmark | GLM-4.6V | GLM-5.1 |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 36.8% |
| MathArena Final-Answer Competitions | — | 67.1% |
| OTIS Mock AIME 2024-2025 | — | 93.3% |
| ProofBench | — | 22.2% |
| LMArena Math | — | 1472 |
| FrontierMath (Feb 2025 set) | — | 33.4% |
| FrontierMath Tier 4 (v1) | — | 12.5% |
Knowledge GLM-5.1 leads
GLM-4.6V: 37.4 (#148), GLM-5.1: 55.0 (#45)
| Benchmark | GLM-4.6V | GLM-5.1 |
|---|---|---|
| LMArena Expert | 1372 | 1477 |
| GPQA Diamond | — | 89.9% |
| SimpleQA Verified | — | 34% |
Multimodal Not comparable
GLM-4.6V: 34.2 (#83), GLM-5.1: —
| Benchmark | GLM-4.6V | GLM-5.1 |
|---|---|---|
| LMArena Vision | 1164 | — |
Multilingual GLM-5.1 leads
GLM-4.6V: 48.8 (#135), GLM-5.1: 55.2 (#34)
| Benchmark | GLM-4.6V | GLM-5.1 |
|---|---|---|
| LMArena Non-English | 1359 | 1448 |
| LMArena Chinese | 1426 | 1516 |
| LMArena Russian | 1341 | 1453 |
| LMArena French | — | 1478 |
| LMArena German | — | 1466 |
| LMArena Japanese | — | 1436 |
| LMArena Korean | — | 1423 |
| LMArena Spanish | — | 1467 |
Instruction Following GLM-5.1 leads
GLM-4.6V: 71.6 (#145), GLM-5.1: 76.5 (#41)
| Benchmark | GLM-4.6V | GLM-5.1 |
|---|---|---|
| LMArena Instruction Following | 1351 | 1451 |
Long Context GLM-5.1 leads
GLM-4.6V: 41.3 (#138), GLM-5.1: 44.9 (#51)
| Benchmark | GLM-4.6V | GLM-5.1 |
|---|---|---|
| LMArena Longer Query | 1358 | 1467 |
Writing & Preference GLM-5.1 leads
GLM-4.6V: 56.8 (#132), GLM-5.1: 67.2 (#29)
| Benchmark | GLM-4.6V | GLM-5.1 |
|---|---|---|
| LMArena Text | 1377 | 1462 |
| LMArena Creative Writing | 1347 | 1454 |
| LMArena Multi-Turn | 1359 | 1473 |
| EQ-Bench Creative Writing | — | 1592 |
Frequently asked questions
Is GLM-4.6V better than GLM-5.1?
GLM-5.1 is the stronger model overall, scoring 47.6 to 40.9 on the Noometry Index. GLM-4.6V costs 4.8× less per token, which makes it the better buy when GLM-5.1's lead doesn't matter for your workload.
Which is cheaper, GLM-4.6V or GLM-5.1?
GLM-4.6V is cheaper. It lists at $0.30 per million input tokens and $0.90 per million output tokens; GLM-5.1 lists at $1.40 and $4.40.
Is GLM-4.6V or GLM-5.1 better for coding?
GLM-5.1 scores higher on coding benchmarks: 48.5 versus 40.2 in the Noometry coding category.
Which has the bigger context window?
GLM-5.1 does, with 200K tokens against 128K.
How many benchmarks do GLM-4.6V and GLM-5.1 share?
11 benchmarks have published results for both models. GLM-4.6V has 12 scored results on Noometry and GLM-5.1 has 41.