Model comparison
DeepSeek V4.1 Flash vs Gemini 1.0 Pro
DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 27.3 on the Noometry Index.
Last verified . 20 shared benchmarks.
Summary
- They share 20 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 8 categories and Gemini 1.0 Pro in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where DeepSeek V4.1 Flash leads 66.7 to 9.3.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 98.3% for DeepSeek V4.1 Flash and 1.1% for Gemini 1.0 Pro.
- DeepSeek V4.1 Flash has downloadable open weights; the other is API-only.
Side by side
| DeepSeek V4.1 Flash | Gemini 1.0 Pro | |
|---|---|---|
| Provider | DeepSeek | |
| Noometry Index | 52.8 | 27.3 |
| Released | 2026-09-09 | 2023-12-13 |
| Weights | Open | Proprietary |
| Context window | 1M | — |
| Max output | 393K | — |
| Input $ / M tokens | $0.15 | — |
| Output $ / M tokens | $0.60 | — |
| Results tracked | 37 | 24 |
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Category by category
Coding DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 52.9 (#32), Gemini 1.0 Pro: 32.2 (#275)
| Benchmark | DeepSeek V4.1 Flash | Gemini 1.0 Pro |
|---|---|---|
| LMArena Coding | 1506 | 1108 |
| LMArena WebDev | 1619 | — |
| SciCode | 51.9% | — |
| ALE-Bench | 1,092 | — |
| HumanEval+ | — | 55.5% |
| MBPP+ | — | 61.4% |
Agentic & Tool Use Not comparable
DeepSeek V4.1 Flash: 31.2 (#69), Gemini 1.0 Pro: —
| Benchmark | DeepSeek V4.1 Flash | Gemini 1.0 Pro |
|---|---|---|
| APEX-Agents | 39.5% | — |
| GDP.pdf | 19.8% | — |
Reasoning DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 50.2 (#36), Gemini 1.0 Pro: 17.1 (#296)
| Benchmark | DeepSeek V4.1 Flash | Gemini 1.0 Pro |
|---|---|---|
| LMArena Hard Prompts | 1483 | 1109 |
| DTBench | 89.9% | 45.9% |
| Epoch Capabilities Index | 154.9 | 117.04 |
| NYT Connections (extended) | 89.6% | — |
| CritPt | 14.3% | — |
| Mystery Game Puzzles | 43% | — |
| LMCA | 47% | — |
| Surface Evolver Bench | 46.3% | — |
Math DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 66.7 (#25), Gemini 1.0 Pro: 9.3 (#321)
| Benchmark | DeepSeek V4.1 Flash | Gemini 1.0 Pro |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 98.3% | 1.1% |
| LMArena Math | 1477 | 1132 |
| FrontierMath (Tiers 1-3) | 67.4% | — |
| FrontierMath Tier 4 | 26.8% | — |
| ProofBench | 54% | — |
| MATH Level 5 | — | 11.2% |
Knowledge DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 57.9 (#38), Gemini 1.0 Pro: 15.6 (#291)
| Benchmark | DeepSeek V4.1 Flash | Gemini 1.0 Pro |
|---|---|---|
| GPQA Diamond | 89.8% | 34% |
| LMArena Expert | 1506 | 1059 |
| MMLU | — | 70% |
Multimodal Not comparable
DeepSeek V4.1 Flash: 39.1 (#61), Gemini 1.0 Pro: —
| Benchmark | DeepSeek V4.1 Flash | Gemini 1.0 Pro |
|---|---|---|
| LMArena Vision | 1277 | — |
| Furniture Assembly | 34.2% | — |
Multilingual DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 55.0 (#35), Gemini 1.0 Pro: 33.4 (#252)
| Benchmark | DeepSeek V4.1 Flash | Gemini 1.0 Pro |
|---|---|---|
| LMArena Non-English | 1448 | 1138 |
| LMArena Chinese | 1497 | 1124 |
| LMArena French | 1452 | 1145 |
| LMArena German | 1484 | 1125 |
| LMArena Japanese | 1412 | 1023 |
| LMArena Russian | 1471 | 1186 |
| LMArena Spanish | 1459 | 1119 |
| LMArena Korean | 1452 | — |
Instruction Following DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 77.3 (#26), Gemini 1.0 Pro: 57.6 (#267)
| Benchmark | DeepSeek V4.1 Flash | Gemini 1.0 Pro |
|---|---|---|
| LMArena Instruction Following | 1474 | 1114 |
Long Context DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 45.2 (#47), Gemini 1.0 Pro: 34.3 (#249)
| Benchmark | DeepSeek V4.1 Flash | Gemini 1.0 Pro |
|---|---|---|
| LMArena Longer Query | 1475 | 1132 |
Writing & Preference DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 65.4 (#48), Gemini 1.0 Pro: 36.0 (#264)
| Benchmark | DeepSeek V4.1 Flash | Gemini 1.0 Pro |
|---|---|---|
| LMArena Text | 1462 | 1149 |
| LMArena Creative Writing | 1435 | 1131 |
| LMArena Multi-Turn | 1457 | 1139 |
| EQ-Bench Creative Writing | 1540 | — |
Frequently asked questions
Is DeepSeek V4.1 Flash better than Gemini 1.0 Pro?
DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 27.3 on the Noometry Index.
Is DeepSeek V4.1 Flash or Gemini 1.0 Pro better for coding?
DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.9 versus 32.2 in the Noometry coding category.
How many benchmarks do DeepSeek V4.1 Flash and Gemini 1.0 Pro share?
20 benchmarks have published results for both models. DeepSeek V4.1 Flash has 37 scored results on Noometry and Gemini 1.0 Pro has 24.