# DeepSeek-V3 vs Gemini 4 Argon

> Gemini 4 Argon is the stronger model overall, scoring 56.5 to 39.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v3-vs-gemini-4-argon
- Last updated: 2026-10-11
- Shared benchmarks: 15

## Summary

- They share 15 benchmarks with published results for both. DeepSeek-V3 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 32.1.
- The biggest single-benchmark swing is CritPt: 0% for DeepSeek-V3 and 27.1% for Gemini 4 Argon.
- DeepSeek-V3 has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek-V3 | Gemini 4 Argon |
|---|---|---|
| Provider | DeepSeek | Google |
| Noometry Index | 39.5 | 56.5 |
| Rank | 166 | 24 |
| Context | 164K | — |
| Input $/M | $0.24 | — |
| Output $/M | $0.90 | — |
| Weights | Open | Proprietary |

## Coding

- DeepSeek-V3: 42.3 (#106)
- Gemini 4 Argon: 62.0 (#9)

| Benchmark | DeepSeek-V3 | Gemini 4 Argon |
|---|---|---|
| SciCode | 35.8% | 61.8% |
| LMArena Coding | 1368 | 1550 |
| Aider Polyglot | 55.1% | — |
| LMArena WebDev | — | 1678 |
| FrontierSWE | — | 55% |
| WeirdML | 36.1% | — |
| BigCodeBench Instruct | 50% | — |
| LiveBench Coding | 70.9% | — |
| BigCodeBench Complete | 62.2% | — |
| HumanEval+ | 86.6% | — |
| MBPP+ | 73% | — |

## Agentic & Tool Use

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

| Benchmark | DeepSeek-V3 | Gemini 4 Argon |
|---|---|---|
| APEX-Agents | — | 82.2% |
| METR Time Horizons | 49.6% | — |
| Vending-Bench 2 | — | 13,718 |

## Reasoning

- DeepSeek-V3: 20.5 (#236)
- Gemini 4 Argon: 44.2 (#47)

| Benchmark | DeepSeek-V3 | Gemini 4 Argon |
|---|---|---|
| CritPt | 0% | 27.1% |
| LMArena Hard Prompts | 1365 | 1548 |
| SimpleBench | 27.2% | — |
| Kagi LLM Benchmark | 52.3% | — |
| LiveBench Reasoning | 65.8% | — |
| DTBench | 64.8% | — |
| LiveBench Data Analysis | 60.9% | — |
| LMCA | 15.5% | — |
| BIG-Bench Hard | 87.5% | — |
| Epoch Capabilities Index | 135.94 | — |
| ForecastBench | 59.1 | — |
| HellaSwag | 88.9% | — |
| LiveBench | 66.9% | — |
| PIQA | 84.7% | — |
| WinoGrande | 85.2% | — |

## Math

- DeepSeek-V3: 32.1 (#219)
- Gemini 4 Argon: 73.9 (#17)

| Benchmark | DeepSeek-V3 | Gemini 4 Argon |
|---|---|---|
| LMArena Math | 1373 | 1536 |
| OTIS Mock AIME 2024-2025 | 37.8% | — |
| ProofBench | — | 99% |
| Omni-MATH | 40.3% | — |
| LiveBench Math | 73.5% | — |
| MATH Level 5 | 75.5% | — |
| FrontierMath (Feb 2025 set) | 1.7% | — |

## Knowledge

- DeepSeek-V3: 37.5 (#155)
- Gemini 4 Argon: 43.9 (#89)

| Benchmark | DeepSeek-V3 | Gemini 4 Argon |
|---|---|---|
| LMArena Expert | 1351 | 1553 |
| GPQA Diamond | 67.6% | — |
| MMLU-Pro | 72.3% | — |
| Confabulations | 26.1% | — |
| Vectara Hallucination Rate | 6.1% | — |
| GPQA (HELM) | 53.8% | — |
| ARC (AI2) Challenge | 95.3% | — |
| MMLU | 87.2% | — |
| TriviaQA | 82.9% | — |

## Multimodal

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

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

## Multilingual

- DeepSeek-V3: 48.5 (#143)
- Gemini 4 Argon: 60.3 (#1)

| Benchmark | DeepSeek-V3 | Gemini 4 Argon |
|---|---|---|
| LMArena Non-English | 1358 | 1523 |
| LMArena Chinese | 1391 | 1610 |
| LMArena Russian | 1373 | 1537 |
| LMArena Spanish | 1358 | 1497 |
| LMArena French | 1385 | — |
| LMArena German | 1374 | — |
| LMArena Japanese | 1333 | — |
| LMArena Korean | 1319 | — |

## Instruction Following

- DeepSeek-V3: 72.8 (#130)
- Gemini 4 Argon: 80.1 (#2)

| Benchmark | DeepSeek-V3 | Gemini 4 Argon |
|---|---|---|
| LMArena Instruction Following | 1345 | 1538 |
| LiveBench Instruction Following | 81.5% | — |
| IFEval | 83.2% | — |

## Long Context

- DeepSeek-V3: 34.0 (#253)
- Gemini 4 Argon: 47.6 (#15)

| Benchmark | DeepSeek-V3 | Gemini 4 Argon |
|---|---|---|
| LMArena Longer Query | 1352 | 1549 |
| Fiction.LiveBench | 50% | — |

## Writing & Preference

- DeepSeek-V3: 57.4 (#130)
- Gemini 4 Argon: 71.4 (#19)

| Benchmark | DeepSeek-V3 | Gemini 4 Argon |
|---|---|---|
| LMArena Text | 1375 | 1534 |
| LMArena Creative Writing | 1364 | 1531 |
| LMArena Multi-Turn | 1389 | 1557 |
| Short-Story Creative Writing | 77% | — |
| EQ-Bench Creative Writing | 1472 | — |
| WildBench | 83% | — |
| LiveBench Language | 49.1% | — |

## FAQ

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

Gemini 4 Argon is the stronger model overall, scoring 56.5 to 39.5 on the Noometry Index.

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

Gemini 4 Argon scores higher on coding benchmarks: 62.0 versus 42.3 in the Noometry coding category.

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

15 benchmarks have published results for both models. DeepSeek-V3 has 60 scored results on Noometry and Gemini 4 Argon has 21.