# DeepSeek-V3.1 vs Gemini 4 Argon

> Gemini 4 Argon is the stronger model overall, scoring 56.5 to 42.8 on the Noometry Index.

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

## Summary

- They share 13 benchmarks with published results for both. DeepSeek-V3.1 scores higher in 0 categories and Gemini 4 Argon in 8 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemini 4 Argon leads 73.9 to 38.9.
- DeepSeek-V3.1 has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek-V3.1 | Gemini 4 Argon |
|---|---|---|
| Provider | DeepSeek | Google |
| Noometry Index | 42.8 | 56.5 |
| Rank | 108 | 24 |
| Context | 164K | — |
| Input $/M | $0.25 | — |
| Output $/M | $0.95 | — |
| Weights | Open | Proprietary |

## Coding

- DeepSeek-V3.1: 40.3 (#144)
- Gemini 4 Argon: 62.0 (#9)

| Benchmark | DeepSeek-V3.1 | Gemini 4 Argon |
|---|---|---|
| LMArena Coding | 1417 | 1550 |
| LMArena WebDev | — | 1678 |
| FrontierSWE | — | 55% |
| SciCode | — | 61.8% |
| WeirdML | 38.4% | — |

## Agentic & Tool Use

- DeepSeek-V3.1: —
- Gemini 4 Argon: 49.2 (#8)

| Benchmark | DeepSeek-V3.1 | Gemini 4 Argon |
|---|---|---|
| APEX-Agents | — | 82.2% |
| Vending-Bench 2 | — | 13,718 |

## Reasoning

- DeepSeek-V3.1: 27.9 (#110)
- Gemini 4 Argon: 44.2 (#47)

| Benchmark | DeepSeek-V3.1 | Gemini 4 Argon |
|---|---|---|
| LMArena Hard Prompts | 1417 | 1548 |
| SimpleBench | 40% | — |
| Kagi LLM Benchmark | 53.2% | — |
| CritPt | — | 27.1% |
| DTBench | 82.7% | — |
| LMCA | 24.3% | — |
| Epoch Capabilities Index | 139.92 | — |
| ForecastBench | 58 | — |

## Math

- DeepSeek-V3.1: 38.9 (#122)
- Gemini 4 Argon: 73.9 (#17)

| Benchmark | DeepSeek-V3.1 | Gemini 4 Argon |
|---|---|---|
| LMArena Math | 1420 | 1536 |
| ProofBench | — | 99% |

## Knowledge

- DeepSeek-V3.1: 43.7 (#90)
- Gemini 4 Argon: 43.9 (#89)

| Benchmark | DeepSeek-V3.1 | Gemini 4 Argon |
|---|---|---|
| LMArena Expert | 1405 | 1553 |
| Vectara Hallucination Rate | 5.5% | — |

## Multimodal

- DeepSeek-V3.1: —
- Gemini 4 Argon: 46.5 (#14)

| Benchmark | DeepSeek-V3.1 | Gemini 4 Argon |
|---|---|---|
| Blueprint-Bench 2 | — | 54.4% |

## Multilingual

- DeepSeek-V3.1: 51.6 (#106)
- Gemini 4 Argon: 60.3 (#1)

| Benchmark | DeepSeek-V3.1 | Gemini 4 Argon |
|---|---|---|
| LMArena Non-English | 1400 | 1523 |
| LMArena Chinese | 1469 | 1610 |
| LMArena Russian | 1405 | 1537 |
| LMArena Spanish | 1431 | 1497 |
| LMArena French | 1447 | — |
| LMArena German | 1411 | — |
| LMArena Japanese | 1378 | — |
| LMArena Korean | 1337 | — |

## Instruction Following

- DeepSeek-V3.1: 73.9 (#110)
- Gemini 4 Argon: 80.1 (#2)

| Benchmark | DeepSeek-V3.1 | Gemini 4 Argon |
|---|---|---|
| LMArena Instruction Following | 1400 | 1538 |

## Long Context

- DeepSeek-V3.1: 36.3 (#232)
- Gemini 4 Argon: 47.6 (#15)

| Benchmark | DeepSeek-V3.1 | Gemini 4 Argon |
|---|---|---|
| LMArena Longer Query | 1422 | 1549 |
| Fiction.LiveBench | 52.8% | — |

## Writing & Preference

- DeepSeek-V3.1: 60.3 (#98)
- Gemini 4 Argon: 71.4 (#19)

| Benchmark | DeepSeek-V3.1 | Gemini 4 Argon |
|---|---|---|
| LMArena Text | 1420 | 1534 |
| LMArena Creative Writing | 1401 | 1531 |
| LMArena Multi-Turn | 1408 | 1557 |
| EQ-Bench Creative Writing | 1436 | — |

## FAQ

### Is DeepSeek-V3.1 better than Gemini 4 Argon?

Gemini 4 Argon is the stronger model overall, scoring 56.5 to 42.8 on the Noometry Index.

### Is DeepSeek-V3.1 or Gemini 4 Argon better for coding?

Gemini 4 Argon scores higher on coding benchmarks: 62.0 versus 40.3 in the Noometry coding category.

### How many benchmarks do DeepSeek-V3.1 and Gemini 4 Argon share?

13 benchmarks have published results for both models. DeepSeek-V3.1 has 27 scored results on Noometry and Gemini 4 Argon has 21.