Model comparison
DeepSeek V4 Pro vs Gemini 3.5 Flash
DeepSeek V4 Pro and Gemini 3.5 Flash score almost the same on the Noometry Index (54.3 vs 54.2), so choose on price, context window or the category you care about most.
Last verified . 43 shared benchmarks.
DeepSeek
GoogleSummary
- They share 43 benchmarks with published results for both. DeepSeek V4 Pro scores higher in 3 categories and Gemini 3.5 Flash in 6 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in agentic & tool use, where DeepSeek V4 Pro leads 32.8 to 24.7.
- The biggest single-benchmark swing is APEX-Agents: 47.3% for DeepSeek V4 Pro and 27.5% for Gemini 3.5 Flash.
- DeepSeek V4 Pro is cheaper at $0.66 / $1.98 per million input/output tokens, against $1.50 / $9 for Gemini 3.5 Flash.
- Gemini 3.5 Flash accepts more context: 1.05M tokens versus 1M.
- DeepSeek V4 Pro has downloadable open weights; the other is API-only.
Side by side
| DeepSeek V4 Pro | Gemini 3.5 Flash | |
|---|---|---|
| Provider | DeepSeek | |
| Noometry Index | 54.3 | 54.2 |
| Released | 2026-04-24 | 2026-05-19 |
| Weights | Open | Proprietary |
| Context window | 1M | 1.05M |
| Max output | 393K | 66K |
| Input $ / M tokens | $0.66 | $1.50 |
| Output $ / M tokens | $1.98 | $9 |
| Results tracked | 48 | 54 |
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Category by category
Coding DeepSeek V4 Pro leads
DeepSeek V4 Pro: 52.4 (#34), Gemini 3.5 Flash: 49.4 (#49)
| Benchmark | DeepSeek V4 Pro | Gemini 3.5 Flash |
|---|---|---|
| SWE-bench Verified | 77.6% | 79.3% |
| LMArena WebDev | 1582 | 1499 |
| SciCode | 51% | 53.1% |
| WeirdML | 66.2% | 62.6% |
| LMArena Coding | 1470 | 1492 |
| ALE-Bench | 1,403 | 911.02 |
| DeepSWE | — | 37.4% |
| FrontierCode | 28.6% | — |
Agentic & Tool Use DeepSeek V4 Pro leads
DeepSeek V4 Pro: 32.8 (#58), Gemini 3.5 Flash: 24.7 (#114)
| Benchmark | DeepSeek V4 Pro | Gemini 3.5 Flash |
|---|---|---|
| APEX-Agents | 47.3% | 27.5% |
| Vending-Bench 2 | 3,285 | 5,396 |
| GBAEval | — | 6.7% |
| GDP.pdf | — | 14% |
Reasoning Gemini 3.5 Flash leads
DeepSeek V4 Pro: 56.5 (#24), Gemini 3.5 Flash: 62.8 (#18)
| Benchmark | DeepSeek V4 Pro | Gemini 3.5 Flash |
|---|---|---|
| ARC-AGI-2 | 61.3% | 72.1% |
| NYT Connections (extended) | 91.3% | 92.6% |
| ARC-AGI-1 | 90.5% | 92.5% |
| CritPt | 18% | 13.1% |
| Chess Puzzles | 47% | 50% |
| LMArena Hard Prompts | 1461 | 1488 |
| Mystery Game Puzzles | 43% | 32% |
| DTBench | 93.9% | 94.7% |
| LMCA | 45.5% | 47.1% |
| Surface Evolver Bench | 40% | 58.1% |
| Epoch Capabilities Index | 155.31 | 154.46 |
| ForecastBench | 56.1 | 59 |
| SimpleBench | — | 76.7% |
| Kagi LLM Benchmark | 53.5% | — |
| EnigmaEval | — | 25.4% |
| EBR-Bench | — | 4.8% |
Math DeepSeek V4 Pro leads
DeepSeek V4 Pro: 64.8 (#30), Gemini 3.5 Flash: 60.7 (#36)
| Benchmark | DeepSeek V4 Pro | Gemini 3.5 Flash |
|---|---|---|
| FrontierMath (Tiers 1-3) | 64.6% | 62.8% |
| FrontierMath Tier 4 | 26.8% | 26.8% |
| MathArena Final-Answer Competitions | 76.6% | 76.3% |
| OTIS Mock AIME 2024-2025 | 98.6% | 95.6% |
| ProofBench | 50% | 31% |
| LMArena Math | 1455 | 1504 |
| FrontierMath (Feb 2025 set) | — | 39% |
| FrontierMath Tier 4 (v1) | — | 14.6% |
Knowledge Gemini 3.5 Flash leads
DeepSeek V4 Pro: 59.5 (#31), Gemini 3.5 Flash: 66.3 (#11)
| Benchmark | DeepSeek V4 Pro | Gemini 3.5 Flash |
|---|---|---|
| GPQA Diamond | 91.7% | 92.8% |
| SimpleQA Verified | 52.9% | 66.2% |
| LMArena Expert | 1464 | 1495 |
| Vectara Hallucination Rate | 8.6% | — |
Multimodal Not comparable
DeepSeek V4 Pro: —, Gemini 3.5 Flash: 45.7 (#15)
| Benchmark | DeepSeek V4 Pro | Gemini 3.5 Flash |
|---|---|---|
| LMArena Vision | — | 1310 |
| Blueprint-Bench 2 | — | 33.6% |
| LMArena Document | — | 1463 |
Multilingual Gemini 3.5 Flash leads
DeepSeek V4 Pro: 54.4 (#45), Gemini 3.5 Flash: 57.0 (#13)
| Benchmark | DeepSeek V4 Pro | Gemini 3.5 Flash |
|---|---|---|
| LMArena Non-English | 1439 | 1476 |
| LMArena Chinese | 1486 | 1526 |
| LMArena French | 1472 | 1490 |
| LMArena German | 1458 | 1492 |
| LMArena Japanese | 1445 | 1486 |
| LMArena Korean | 1447 | 1451 |
| LMArena Russian | 1453 | 1493 |
| LMArena Spanish | 1458 | 1480 |
Instruction Following Too close to call
DeepSeek V4 Pro: 76.1 (#47), Gemini 3.5 Flash: 77.0 (#30)
| Benchmark | DeepSeek V4 Pro | Gemini 3.5 Flash |
|---|---|---|
| LMArena Instruction Following | 1448 | 1467 |
Long Context Too close to call
DeepSeek V4 Pro: 45.0 (#51), Gemini 3.5 Flash: 45.4 (#38)
| Benchmark | DeepSeek V4 Pro | Gemini 3.5 Flash |
|---|---|---|
| LMArena Longer Query | 1458 | 1482 |
| CL-bench Life | 13.5% | — |
Writing & Preference Too close to call
DeepSeek V4 Pro: 65.5 (#46), Gemini 3.5 Flash: 65.5 (#47)
| Benchmark | DeepSeek V4 Pro | Gemini 3.5 Flash |
|---|---|---|
| LMArena Text | 1451 | 1482 |
| LMArena Creative Writing | 1446 | 1470 |
| EQ-Bench 4 | 1166 | 1087 |
| LMArena Multi-Turn | 1467 | 1481 |
| EQ-Bench Creative Writing | 1553 | — |
Frequently asked questions
Is DeepSeek V4 Pro better than Gemini 3.5 Flash?
DeepSeek V4 Pro and Gemini 3.5 Flash score almost the same on the Noometry Index (54.3 vs 54.2), so choose on price, context window or the category you care about most.
Which is cheaper, DeepSeek V4 Pro or Gemini 3.5 Flash?
DeepSeek V4 Pro is cheaper. It lists at $0.66 per million input tokens and $1.98 per million output tokens; Gemini 3.5 Flash lists at $1.50 and $9.
Is DeepSeek V4 Pro or Gemini 3.5 Flash better for coding?
DeepSeek V4 Pro scores higher on coding benchmarks: 52.4 versus 49.4 in the Noometry coding category.
Which has the bigger context window?
Gemini 3.5 Flash does, with 1.05M tokens against 1M.
How many benchmarks do DeepSeek V4 Pro and Gemini 3.5 Flash share?
43 benchmarks have published results for both models. DeepSeek V4 Pro has 48 scored results on Noometry and Gemini 3.5 Flash has 54.