Model comparison
DeepSeek V4 Flash vs Gemini 2.0 Pro
DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 39.1 on the Noometry Index.
Last verified . 2 shared benchmarks.
DeepSeek
GoogleSummary
- They share 2 benchmarks with published results for both. DeepSeek V4 Flash scores higher in 6 categories and Gemini 2.0 Pro in 1 category; 6 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek V4 Flash leads 53.7 to 22.3.
- The biggest single-benchmark swing is GPQA Diamond: 91% for DeepSeek V4 Flash and 65.7% for Gemini 2.0 Pro.
- DeepSeek V4 Flash has downloadable open weights; the other is API-only.
Side by side
| DeepSeek V4 Flash | Gemini 2.0 Pro | |
|---|---|---|
| Provider | DeepSeek | |
| Noometry Index | 53.6 | 39.1 |
| Released | 2026-04-24 | 2025-02-05 |
| Weights | Open | Proprietary |
| Context window | 1M | — |
| Max output | 393K | — |
| Input $ / M tokens | $0.15 | — |
| Output $ / M tokens | $0.60 | — |
| Results tracked | 41 | 14 |
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Category by category
Coding DeepSeek V4 Flash leads
DeepSeek V4 Flash: 47.9 (#59), Gemini 2.0 Pro: 37.8 (#187)
| Benchmark | DeepSeek V4 Flash | Gemini 2.0 Pro |
|---|---|---|
| FrontierCode | 18.8% | — |
| Aider Polyglot | — | 35.6% |
| LMArena WebDev | 1582 | — |
| SciCode | 49.9% | — |
| WeirdML | 63% | — |
| LiveBench Coding | — | 63.5% |
| LMArena Coding | 1457 | — |
| ALE-Bench | 1,306 | — |
Reasoning DeepSeek V4 Flash leads
DeepSeek V4 Flash: 53.7 (#30), Gemini 2.0 Pro: 22.3 (#198)
| Benchmark | DeepSeek V4 Flash | Gemini 2.0 Pro |
|---|---|---|
| Epoch Capabilities Index | 154.49 | 135.06 |
| ARC-AGI-2 | 61.4% | — |
| SimpleBench | 61.1% | — |
| Kagi LLM Benchmark | 52.2% | — |
| NYT Connections (extended) | 89.6% | — |
| ARC-AGI-1 | 89% | — |
| CritPt | 16.6% | — |
| Chess Puzzles | 33% | — |
| EnigmaEval | — | 0.7% |
| LiveBench Reasoning | — | 60.1% |
| LMArena Hard Prompts | 1444 | — |
| Mystery Game Puzzles | 34% | — |
| DTBench | 90.9% | — |
| LiveBench Data Analysis | — | 68% |
| LMCA | 41.7% | — |
| LiveBench | — | 65.1% |
Math DeepSeek V4 Flash leads
DeepSeek V4 Flash: 60.3 (#37), Gemini 2.0 Pro: 39.7 (#100)
| Benchmark | DeepSeek V4 Flash | Gemini 2.0 Pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | 57.5% | — |
| FrontierMath Tier 4 | 24.4% | — |
| MathArena Final-Answer Competitions | 76.5% | — |
| OTIS Mock AIME 2024-2025 | 94.4% | — |
| ProofBench | 56% | — |
| LiveBench Math | — | 71% |
| LMArena Math | 1427 | — |
| MATH Level 5 | — | 83.5% |
Knowledge DeepSeek V4 Flash leads
DeepSeek V4 Flash: 55.4 (#48), Gemini 2.0 Pro: 36.5 (#167)
| Benchmark | DeepSeek V4 Flash | Gemini 2.0 Pro |
|---|---|---|
| GPQA Diamond | 91% | 65.7% |
| SimpleQA Verified | 33.6% | — |
| Confabulations | — | 18.4% |
| LMArena Expert | 1441 | — |
Multilingual Not comparable
DeepSeek V4 Flash: 53.0 (#72), Gemini 2.0 Pro: —
| Benchmark | DeepSeek V4 Flash | Gemini 2.0 Pro |
|---|---|---|
| LMArena Non-English | 1420 | — |
| LMArena Chinese | 1468 | — |
| LMArena French | 1439 | — |
| LMArena German | 1418 | — |
| LMArena Japanese | 1406 | — |
| LMArena Korean | 1384 | — |
| LMArena Russian | 1428 | — |
| LMArena Spanish | 1436 | — |
Instruction Following Too close to call
DeepSeek V4 Flash: 74.9 (#81), Gemini 2.0 Pro: 75.5 (#59)
| Benchmark | DeepSeek V4 Flash | Gemini 2.0 Pro |
|---|---|---|
| LiveBench Instruction Following | — | 83.4% |
| LMArena Instruction Following | 1421 | — |
Long Context DeepSeek V4 Flash leads
DeepSeek V4 Flash: 43.8 (#85), Gemini 2.0 Pro: 29.2 (#292)
| Benchmark | DeepSeek V4 Flash | Gemini 2.0 Pro |
|---|---|---|
| Fiction.LiveBench | — | 41.7% |
| LMArena Longer Query | 1434 | — |
Writing & Preference DeepSeek V4 Flash leads
DeepSeek V4 Flash: 63.8 (#61), Gemini 2.0 Pro: 52.7 (#165)
| Benchmark | DeepSeek V4 Flash | Gemini 2.0 Pro |
|---|---|---|
| LMArena Text | 1432 | — |
| LMArena Creative Writing | 1403 | — |
| EQ-Bench Creative Writing | 1559 | — |
| LMArena Multi-Turn | 1449 | — |
| LiveBench Language | — | 44.9% |
Frequently asked questions
Is DeepSeek V4 Flash better than Gemini 2.0 Pro?
DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 39.1 on the Noometry Index.
Is DeepSeek V4 Flash or Gemini 2.0 Pro better for coding?
DeepSeek V4 Flash scores higher on coding benchmarks: 47.9 versus 37.8 in the Noometry coding category.
How many benchmarks do DeepSeek V4 Flash and Gemini 2.0 Pro share?
2 benchmarks have published results for both models. DeepSeek V4 Flash has 41 scored results on Noometry and Gemini 2.0 Pro has 14.