# Gemini 3.1 Pro Preview vs GLM-5

> Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 45.9 on the Noometry Index. GLM-5 costs 2.9× less per token, which makes it the better buy when Gemini 3.1 Pro Preview's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gemini-3-1-pro-preview-vs-glm-5
- Last updated: 2026-10-10
- Shared benchmarks: 39

## Summary

- They share 39 benchmarks with published results for both. Gemini 3.1 Pro Preview scores higher in 8 categories and GLM-5 in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.1 Pro Preview leads 71.7 to 27.6.
- The biggest single-benchmark swing is ARC-AGI-2: 77.1% for Gemini 3.1 Pro Preview and 4.9% for GLM-5.
- GLM-5 is cheaper at $1 / $3.20 per million input/output tokens, against $2 / $12 for Gemini 3.1 Pro Preview.
- Gemini 3.1 Pro Preview accepts more context: 1.05M tokens versus 205K.
- GLM-5 has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 3.1 Pro Preview | GLM-5 |
|---|---|---|
| Provider | Google | Z.ai (Zhipu) |
| Noometry Index | 56.7 | 45.9 |
| Rank | 20 | 59 |
| Context | 1.05M | 205K |
| Input $/M | $2 | $1 |
| Output $/M | $12 | $3.20 |
| Weights | Proprietary | Open |

## Coding

- Gemini 3.1 Pro Preview: 42.7 (#88)
- GLM-5: 49.0 (#47)

| Benchmark | Gemini 3.1 Pro Preview | GLM-5 |
|---|---|---|
| SWE-bench Verified | 75.6% | 72.1% |
| LMArena WebDev | 1446 | 1434 |
| WeirdML | 72.1% | 48.2% |
| LMArena Coding | 1483 | 1461 |
| ALE-Bench | 1,161 | 765.62 |
| DeepSWE | 11.7% | — |
| SWE-bench Verified (bash only) | — | 72.8% |
| SWE-bench Multilingual | — | 69.7% |
| SciCode | 58.9% | — |
| GSO | 22.6% | — |
| MirrorCode | 8.9% | — |
| AlgoTune | 2.02 | — |

## Agentic & Tool Use

- Gemini 3.1 Pro Preview: 37.7 (#33)
- GLM-5: 30.9 (#65)

| Benchmark | Gemini 3.1 Pro Preview | GLM-5 |
|---|---|---|
| Terminal-Bench | 80.2% | 52.4% |
| τ²-bench Banking | 26% | 9.8% |
| Vending-Bench 2 | 3,774 | 4,432 |
| APEX-Agents | 35.3% | — |
| τ²-bench Airline | — | 82.5% |
| τ²-bench Retail | — | 73.7% |
| τ²-bench Telecom | — | 86.8% |
| DeepResearch Bench | 47.8% | — |
| PostTrainBench | 22% | — |
| BALROG | 57% | — |
| ExploitBench | 26.1% | — |
| GBAEval | 0.8% | — |
| GDP.pdf | 17% | — |
| LMArena Search | 1211 | — |
| METR Time Horizons | 77% | — |

## Reasoning

- Gemini 3.1 Pro Preview: 71.7 (#9)
- GLM-5: 27.6 (#100)

| Benchmark | Gemini 3.1 Pro Preview | GLM-5 |
|---|---|---|
| ARC-AGI-2 | 77.1% | 4.9% |
| SimpleBench | 79.6% | 53.2% |
| NYT Connections (extended) | 97.4% | 74.8% |
| ARC-AGI-1 | 98% | 44.7% |
| Chess Puzzles | 55% | 10% |
| LMArena Hard Prompts | 1484 | 1451 |
| Epoch Capabilities Index | 154.92 | 145.84 |
| ForecastBench | 59 | 61 |
| Kagi LLM Benchmark | — | 75% |
| CritPt | 17.7% | — |
| EnigmaEval | 36.8% | — |
| Thematic Generalization | 79.4% | — |
| EBR-Bench | 14.3% | — |
| Mystery Game Puzzles | 34% | — |
| DTBench | 97.1% | — |
| LMCA | 53.8% | — |

## Math

- Gemini 3.1 Pro Preview: 61.8 (#28)
- GLM-5: 44.8 (#66)

| Benchmark | Gemini 3.1 Pro Preview | GLM-5 |
|---|---|---|
| MathArena Final-Answer Competitions | 86.5% | 65.7% |
| OTIS Mock AIME 2024-2025 | 95.6% | 80% |
| LMArena Math | 1485 | 1440 |
| FrontierMath (Feb 2025 set) | 36.9% | 16.4% |
| FrontierMath Tier 4 (v1) | 16.7% | 2.1% |
| FrontierMath (Tiers 1-3) | 59.6% | — |
| FrontierMath Tier 4 | 26.8% | — |
| ProofBench | 26% | — |

## Knowledge

- Gemini 3.1 Pro Preview: 71.8 (#3)
- GLM-5: 52.2 (#59)

| Benchmark | Gemini 3.1 Pro Preview | GLM-5 |
|---|---|---|
| GPQA Diamond | 94.4% | 87.8% |
| Vectara Hallucination Rate | 10.4% | 10.1% |
| LMArena Expert | 1484 | 1454 |
| Humanity's Last Exam | 46.4% | — |
| SimpleQA Verified | 73.5% | — |

## Multimodal

- Gemini 3.1 Pro Preview: 38.1 (#60)
- GLM-5: —

| Benchmark | Gemini 3.1 Pro Preview | GLM-5 |
|---|---|---|
| LMArena Vision | 1296 | — |
| Blueprint-Bench 2 | 26.5% | — |
| Furniture Assembly | 26.7% | — |
| LMArena Document | 1444 | — |

## Multilingual

- Gemini 3.1 Pro Preview: 57.1 (#11)
- GLM-5: 53.9 (#57)

| Benchmark | Gemini 3.1 Pro Preview | GLM-5 |
|---|---|---|
| LMArena Non-English | 1475 | 1430 |
| LMArena Chinese | 1528 | 1511 |
| LMArena French | 1488 | 1455 |
| LMArena German | 1491 | 1445 |
| LMArena Japanese | 1494 | 1416 |
| LMArena Korean | 1458 | 1421 |
| LMArena Russian | 1496 | 1436 |
| LMArena Spanish | 1480 | 1452 |

## Instruction Following

- Gemini 3.1 Pro Preview: 77.1 (#31)
- GLM-5: 75.4 (#64)

| Benchmark | Gemini 3.1 Pro Preview | GLM-5 |
|---|---|---|
| LMArena Instruction Following | 1465 | 1427 |

## Long Context

- Gemini 3.1 Pro Preview: 47.3 (#17)
- GLM-5: 44.6 (#58)

| Benchmark | Gemini 3.1 Pro Preview | GLM-5 |
|---|---|---|
| CL-bench | 20.8% | 18.7% |
| LMArena Longer Query | 1482 | 1446 |
| CL-bench Life | 16.9% | — |

## Writing & Preference

- Gemini 3.1 Pro Preview: 66.3 (#36)
- GLM-5: 66.2 (#38)

| Benchmark | Gemini 3.1 Pro Preview | GLM-5 |
|---|---|---|
| LMArena Text | 1480 | 1446 |
| LMArena Creative Writing | 1482 | 1438 |
| EQ-Bench Creative Writing | 1491 | 1601 |
| LMArena Multi-Turn | 1486 | 1456 |
| EQ-Bench 4 | 1142 | — |

## FAQ

### Is Gemini 3.1 Pro Preview better than GLM-5?

Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 45.9 on the Noometry Index. GLM-5 costs 2.9× less per token, which makes it the better buy when Gemini 3.1 Pro Preview's lead doesn't matter for your workload.

### Which is cheaper, Gemini 3.1 Pro Preview or GLM-5?

GLM-5 is cheaper. It lists at $1 per million input tokens and $3.20 per million output tokens; Gemini 3.1 Pro Preview lists at $2 and $12.

### Is Gemini 3.1 Pro Preview or GLM-5 better for coding?

GLM-5 scores higher on coding benchmarks: 49.0 versus 42.7 in the Noometry coding category.

### Which has the bigger context window?

Gemini 3.1 Pro Preview does, with 1.05M tokens against 205K.

### How many benchmarks do Gemini 3.1 Pro Preview and GLM-5 share?

39 benchmarks have published results for both models. Gemini 3.1 Pro Preview has 71 scored results on Noometry and GLM-5 has 45.