# DeepSeek-V3.1-Terminus vs Gemini 1.5 Pro (May 2024)

> DeepSeek-V3.1-Terminus is the stronger model overall, scoring 43.1 to 32.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v3-1-terminus-vs-gemini-1-5-pro
- Last updated: 2026-10-12
- Shared benchmarks: 11

## Summary

- They share 11 benchmarks with published results for both. DeepSeek-V3.1-Terminus scores higher in 7 categories and Gemini 1.5 Pro (May 2024) in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek-V3.1-Terminus leads 26.4 to 12.3.
- The biggest single-benchmark swing is DTBench: 81.3% for DeepSeek-V3.1-Terminus and 59% for Gemini 1.5 Pro (May 2024).
- DeepSeek-V3.1-Terminus has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek-V3.1-Terminus | Gemini 1.5 Pro (May 2024) |
|---|---|---|
| Provider | DeepSeek | Google |
| Noometry Index | 43.1 | 32.1 |
| Rank | 97 | 261 |
| Context | 164K | — |
| Input $/M | $0.27 | — |
| Output $/M | $1 | — |
| Weights | Open | Proprietary |

## Coding

- DeepSeek-V3.1-Terminus: 42.0 (#113)
- Gemini 1.5 Pro (May 2024): 34.2 (#241)

| Benchmark | DeepSeek-V3.1-Terminus | Gemini 1.5 Pro (May 2024) |
|---|---|---|
| LMArena Coding | 1426 | 1294 |
| SciCode | 40.6% | — |
| WeirdML | — | 22.2% |
| BigCodeBench Instruct | — | 43.8% |
| BigCodeBench Complete | — | 57.5% |
| CadEval | — | 34% |
| ALE-Bench | 745.17 | — |
| HumanEval+ | — | 79.3% |
| MBPP+ | — | 74.6% |

## Agentic & Tool Use

- DeepSeek-V3.1-Terminus: —
- Gemini 1.5 Pro (May 2024): 17.9 (#145)

| Benchmark | DeepSeek-V3.1-Terminus | Gemini 1.5 Pro (May 2024) |
|---|---|---|
| TheAgentCompany | — | 3.4% |
| Cybench | — | 7.5% |
| BALROG | — | 21% |

## Reasoning

- DeepSeek-V3.1-Terminus: 26.4 (#133)
- Gemini 1.5 Pro (May 2024): 12.3 (#338)

| Benchmark | DeepSeek-V3.1-Terminus | Gemini 1.5 Pro (May 2024) |
|---|---|---|
| LMArena Hard Prompts | 1426 | 1296 |
| DTBench | 81.3% | 59% |
| ARC-AGI-2 | — | 0.8% |
| SimpleBench | — | 27.1% |
| Kagi LLM Benchmark | 57.4% | — |
| CritPt | 1.7% | — |
| LMCA | 28.6% | — |
| BIG-Bench Hard | — | 89.2% |
| Epoch Capabilities Index | — | 131.73 |
| ForecastBench | — | 58.4 |

## Math

- DeepSeek-V3.1-Terminus: 38.5 (#137)
- Gemini 1.5 Pro (May 2024): 25.8 (#266)

| Benchmark | DeepSeek-V3.1-Terminus | Gemini 1.5 Pro (May 2024) |
|---|---|---|
| LMArena Math | 1402 | 1315 |
| OTIS Mock AIME 2024-2025 | — | 23.1% |
| Omni-MATH | — | 36.4% |
| MATH Level 5 | — | 70.4% |

## Knowledge

- DeepSeek-V3.1-Terminus: —
- Gemini 1.5 Pro (May 2024): 29.4 (#239)

| Benchmark | DeepSeek-V3.1-Terminus | Gemini 1.5 Pro (May 2024) |
|---|---|---|
| GPQA Diamond | — | 57.2% |
| Humanity's Last Exam | — | 4.6% |
| MMLU-Pro | — | 73.7% |
| Confabulations | — | 13.5% |
| GPQA (HELM) | — | 53.4% |
| LMArena Expert | — | 1279 |
| MMLU | — | 86.9% |

## Multimodal

- DeepSeek-V3.1-Terminus: —
- Gemini 1.5 Pro (May 2024): 36.8 (#77)

| Benchmark | DeepSeek-V3.1-Terminus | Gemini 1.5 Pro (May 2024) |
|---|---|---|
| LMArena Vision | — | 1161 |
| Video-MME | — | 75% |

## Multilingual

- DeepSeek-V3.1-Terminus: 52.1 (#92)
- Gemini 1.5 Pro (May 2024): 45.3 (#174)

| Benchmark | DeepSeek-V3.1-Terminus | Gemini 1.5 Pro (May 2024) |
|---|---|---|
| LMArena Non-English | 1407 | 1312 |
| LMArena Russian | 1436 | 1320 |
| LMArena Chinese | — | 1331 |
| LMArena French | — | 1302 |
| LMArena German | — | 1286 |
| LMArena Japanese | — | 1292 |
| LMArena Korean | — | 1298 |
| LMArena Spanish | — | 1311 |

## Instruction Following

- DeepSeek-V3.1-Terminus: 74.0 (#106)
- Gemini 1.5 Pro (May 2024): 68.6 (#185)

| Benchmark | DeepSeek-V3.1-Terminus | Gemini 1.5 Pro (May 2024) |
|---|---|---|
| LMArena Instruction Following | 1404 | 1297 |
| IFEval | — | 83.7% |

## Long Context

- DeepSeek-V3.1-Terminus: 43.4 (#97)
- Gemini 1.5 Pro (May 2024): 39.8 (#169)

| Benchmark | DeepSeek-V3.1-Terminus | Gemini 1.5 Pro (May 2024) |
|---|---|---|
| LMArena Longer Query | 1421 | 1308 |

## Writing & Preference

- DeepSeek-V3.1-Terminus: 61.0 (#92)
- Gemini 1.5 Pro (May 2024): 52.4 (#172)

| Benchmark | DeepSeek-V3.1-Terminus | Gemini 1.5 Pro (May 2024) |
|---|---|---|
| LMArena Text | 1419 | 1319 |
| LMArena Creative Writing | 1403 | 1333 |
| LMArena Multi-Turn | 1411 | 1296 |
| WildBench | — | 81.3% |

## FAQ

### Is DeepSeek-V3.1-Terminus better than Gemini 1.5 Pro (May 2024)?

DeepSeek-V3.1-Terminus is the stronger model overall, scoring 43.1 to 32.1 on the Noometry Index.

### Is DeepSeek-V3.1-Terminus or Gemini 1.5 Pro (May 2024) better for coding?

DeepSeek-V3.1-Terminus scores higher on coding benchmarks: 42.0 versus 34.2 in the Noometry coding category.

### How many benchmarks do DeepSeek-V3.1-Terminus and Gemini 1.5 Pro (May 2024) share?

11 benchmarks have published results for both models. DeepSeek-V3.1-Terminus has 16 scored results on Noometry and Gemini 1.5 Pro (May 2024) has 45.