# DeepSeek-V2.5 (Sep 2024) vs Gemini 4 Argon

> Gemini 4 Argon is the stronger model overall, scoring 56.5 to 37.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v2-5-vs-gemini-4-argon
- Last updated: 2026-10-10
- Shared benchmarks: 13

## Summary

- They share 13 benchmarks with published results for both. DeepSeek-V2.5 (Sep 2024) scores higher in 0 categories and Gemini 4 Argon in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemini 4 Argon leads 73.9 to 35.9.
- DeepSeek-V2.5 (Sep 2024) has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek-V2.5 (Sep 2024) | Gemini 4 Argon |
|---|---|---|
| Provider | DeepSeek | Google |
| Noometry Index | 37.6 | 56.5 |
| Rank | 200 | 24 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Proprietary |

## Coding

- DeepSeek-V2.5 (Sep 2024): 31.7 (#281)
- Gemini 4 Argon: 62.0 (#9)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemini 4 Argon |
|---|---|---|
| LMArena Coding | 1309 | 1550 |
| Aider Polyglot | 17.8% | — |
| LMArena WebDev | — | 1678 |
| FrontierSWE | — | 55% |
| SciCode | — | 61.8% |
| BigCodeBench Instruct | 48.6% | — |
| BigCodeBench Complete | 53.2% | — |
| HumanEval+ | 83.5% | — |
| MBPP+ | 74.1% | — |

## Agentic & Tool Use

- DeepSeek-V2.5 (Sep 2024): —
- Gemini 4 Argon: 49.2 (#8)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemini 4 Argon |
|---|---|---|
| APEX-Agents | — | 82.2% |
| Vending-Bench 2 | — | 13,718 |

## Reasoning

- DeepSeek-V2.5 (Sep 2024): 25.6 (#145)
- Gemini 4 Argon: 44.2 (#47)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemini 4 Argon |
|---|---|---|
| LMArena Hard Prompts | 1289 | 1548 |
| CritPt | — | 27.1% |

## Math

- DeepSeek-V2.5 (Sep 2024): 35.9 (#177)
- Gemini 4 Argon: 73.9 (#17)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemini 4 Argon |
|---|---|---|
| LMArena Math | 1288 | 1536 |
| ProofBench | — | 99% |

## Knowledge

- DeepSeek-V2.5 (Sep 2024): 34.8 (#193)
- Gemini 4 Argon: 43.9 (#89)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemini 4 Argon |
|---|---|---|
| LMArena Expert | 1266 | 1553 |

## Multimodal

- DeepSeek-V2.5 (Sep 2024): —
- Gemini 4 Argon: 46.5 (#14)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemini 4 Argon |
|---|---|---|
| Blueprint-Bench 2 | — | 54.4% |

## Multilingual

- DeepSeek-V2.5 (Sep 2024): 42.5 (#193)
- Gemini 4 Argon: 60.3 (#1)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemini 4 Argon |
|---|---|---|
| LMArena Non-English | 1273 | 1523 |
| LMArena Chinese | 1318 | 1610 |
| LMArena Russian | 1289 | 1537 |
| LMArena Spanish | 1248 | 1497 |
| LMArena French | 1289 | — |
| LMArena German | 1258 | — |
| LMArena Japanese | 1228 | — |
| LMArena Korean | 1209 | — |

## Instruction Following

- DeepSeek-V2.5 (Sep 2024): 67.5 (#194)
- Gemini 4 Argon: 80.1 (#2)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemini 4 Argon |
|---|---|---|
| LMArena Instruction Following | 1280 | 1538 |

## Long Context

- DeepSeek-V2.5 (Sep 2024): 39.5 (#174)
- Gemini 4 Argon: 47.6 (#15)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemini 4 Argon |
|---|---|---|
| LMArena Longer Query | 1301 | 1549 |

## Writing & Preference

- DeepSeek-V2.5 (Sep 2024): 49.8 (#187)
- Gemini 4 Argon: 71.4 (#19)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemini 4 Argon |
|---|---|---|
| LMArena Text | 1294 | 1534 |
| LMArena Creative Writing | 1285 | 1531 |
| LMArena Multi-Turn | 1297 | 1557 |

## FAQ

### Is DeepSeek-V2.5 (Sep 2024) better than Gemini 4 Argon?

Gemini 4 Argon is the stronger model overall, scoring 56.5 to 37.6 on the Noometry Index.

### Is DeepSeek-V2.5 (Sep 2024) or Gemini 4 Argon better for coding?

Gemini 4 Argon scores higher on coding benchmarks: 62.0 versus 31.7 in the Noometry coding category.

### How many benchmarks do DeepSeek-V2.5 (Sep 2024) and Gemini 4 Argon share?

13 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and Gemini 4 Argon has 21.