Model comparison
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.
Last verified . 13 shared benchmarks.
DeepSeek
GoogleSummary
- 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.
Side by side
| DeepSeek-V3.1 | Gemini 4 Argon | |
|---|---|---|
| Provider | DeepSeek | |
| Noometry Index | 42.8 | 56.5 |
| Released | 2025-08-21 | 2026-09-30 |
| Weights | Open | Proprietary |
| Context window | 164K | — |
| Max output | 8K | — |
| Input $ / M tokens | $0.25 | — |
| Output $ / M tokens | $0.95 | — |
| Results tracked | 27 | 21 |
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Category by category
Coding Gemini 4 Argon leads
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 Not comparable
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 Gemini 4 Argon leads
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 Gemini 4 Argon leads
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 Too close to call
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 Not comparable
DeepSeek-V3.1: —, Gemini 4 Argon: 46.5 (#14)
| Benchmark | DeepSeek-V3.1 | Gemini 4 Argon |
|---|---|---|
| Blueprint-Bench 2 | — | 54.4% |
Multilingual Gemini 4 Argon leads
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 Gemini 4 Argon leads
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 Gemini 4 Argon leads
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 Gemini 4 Argon leads
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 | — |
Frequently asked questions
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.