# DeepSeek-V3.1-Terminus vs GLM-4.7

> DeepSeek-V3.1-Terminus and GLM-4.7 score almost the same on the Noometry Index (42.6 vs 41.7), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/deepseek-v3-1-terminus-vs-glm-4-7
- Last updated: 2026-10-10
- Shared benchmarks: 13

## Summary

- They share 13 benchmarks with published results for both. DeepSeek-V3.1-Terminus scores higher in 3 categories and GLM-4.7 in 4 categories; 3 gaps are clear of the uncertainty.
- DeepSeek-V3.1-Terminus is cheaper at $0.30 / $1 per million input/output tokens, against $0.60 / $2.20 for GLM-4.7.
- GLM-4.7 accepts more context: 205K tokens versus 164K.

## Snapshot

| | DeepSeek-V3.1-Terminus | GLM-4.7 |
|---|---|---|
| Provider | DeepSeek | Z.ai (Zhipu) |
| Noometry Index | 42.6 | 41.7 |
| Rank | 96 | 117 |
| Context | 164K | 205K |
| Input $/M | $0.30 | $0.60 |
| Output $/M | $1 | $2.20 |
| Weights | Open | Open |

## Coding

- DeepSeek-V3.1-Terminus: 41.5 (#114)
- GLM-4.7: 43.6 (#74)

| Benchmark | DeepSeek-V3.1-Terminus | GLM-4.7 |
|---|---|---|
| SciCode | 40.6% | 45.1% |
| LMArena Coding | 1426 | 1454 |
| ALE-Bench | 745.17 | 399.48 |
| LMArena WebDev | — | 1435 |

## Agentic & Tool Use

- DeepSeek-V3.1-Terminus: —
- GLM-4.7: 26.4 (#96)

| Benchmark | DeepSeek-V3.1-Terminus | GLM-4.7 |
|---|---|---|
| Terminal-Bench | — | 33.4% |
| Vending-Bench 2 | — | 2,377 |

## Reasoning

- DeepSeek-V3.1-Terminus: 25.7 (#126)
- GLM-4.7: 23.7 (#161)

| Benchmark | DeepSeek-V3.1-Terminus | GLM-4.7 |
|---|---|---|
| CritPt | 1.7% | 1.7% |
| LMArena Hard Prompts | 1427 | 1443 |
| SimpleBench | — | 47.7% |
| Kagi LLM Benchmark | 57.4% | — |
| Chess Puzzles | — | 6% |
| DTBench | 81.3% | — |
| LMCA | 28.6% | — |
| Epoch Capabilities Index | — | 143.53 |

## Math

- DeepSeek-V3.1-Terminus: 35.7 (#138)
- GLM-4.7: 37.7 (#92)

| Benchmark | DeepSeek-V3.1-Terminus | GLM-4.7 |
|---|---|---|
| LMArena Math | 1402 | 1423 |
| OTIS Mock AIME 2024-2025 | — | 83.3% |
| ProofBench | — | 6% |
| FrontierMath (Feb 2025 set) | — | 2.4% |
| FrontierMath Tier 4 (v1) | — | 0% |

## Knowledge

- DeepSeek-V3.1-Terminus: —
- GLM-4.7: 47.0 (#74)

| Benchmark | DeepSeek-V3.1-Terminus | GLM-4.7 |
|---|---|---|
| GPQA Diamond | — | 83.3% |
| SimpleQA Verified | — | 32.2% |
| Vectara Hallucination Rate | — | 11.7% |
| LMArena Expert | — | 1424 |

## Multilingual

- DeepSeek-V3.1-Terminus: 52.3 (#87)
- GLM-4.7: 53.0 (#75)

| Benchmark | DeepSeek-V3.1-Terminus | GLM-4.7 |
|---|---|---|
| LMArena Non-English | 1407 | 1417 |
| LMArena Russian | 1434 | 1423 |
| LMArena Chinese | — | 1495 |
| LMArena French | — | 1432 |
| LMArena German | — | 1426 |
| LMArena Japanese | — | 1439 |
| LMArena Korean | — | 1401 |
| LMArena Spanish | — | 1433 |

## Instruction Following

- DeepSeek-V3.1-Terminus: 74.4 (#96)
- GLM-4.7: 74.6 (#90)

| Benchmark | DeepSeek-V3.1-Terminus | GLM-4.7 |
|---|---|---|
| LMArena Instruction Following | 1406 | 1411 |

## Long Context

- DeepSeek-V3.1-Terminus: 43.5 (#88)
- GLM-4.7: 42.8 (#111)

| Benchmark | DeepSeek-V3.1-Terminus | GLM-4.7 |
|---|---|---|
| LMArena Longer Query | 1426 | 1432 |
| CL-bench | — | 15.9% |
| CL-bench Life | — | 10.9% |

## Writing & Preference

- DeepSeek-V3.1-Terminus: 61.3 (#87)
- GLM-4.7: 61.1 (#89)

| Benchmark | DeepSeek-V3.1-Terminus | GLM-4.7 |
|---|---|---|
| LMArena Text | 1420 | 1436 |
| LMArena Creative Writing | 1404 | 1401 |
| LMArena Multi-Turn | 1411 | 1446 |
| EQ-Bench Creative Writing | — | 1413 |

## FAQ

### Is DeepSeek-V3.1-Terminus better than GLM-4.7?

DeepSeek-V3.1-Terminus and GLM-4.7 score almost the same on the Noometry Index (42.6 vs 41.7), so choose on price, context window or the category you care about most.

### Which is cheaper, DeepSeek-V3.1-Terminus or GLM-4.7?

DeepSeek-V3.1-Terminus is cheaper. It lists at $0.30 per million input tokens and $1 per million output tokens; GLM-4.7 lists at $0.60 and $2.20.

### Is DeepSeek-V3.1-Terminus or GLM-4.7 better for coding?

GLM-4.7 scores higher on coding benchmarks: 43.6 versus 41.5 in the Noometry coding category.

### Which has the bigger context window?

GLM-4.7 does, with 205K tokens against 164K.

### How many benchmarks do DeepSeek-V3.1-Terminus and GLM-4.7 share?

13 benchmarks have published results for both models. DeepSeek-V3.1-Terminus has 16 scored results on Noometry and GLM-4.7 has 36.