Model comparison
DeepSeek V4 Pro vs Gemini 2.5 Pro
DeepSeek V4 Pro is the stronger model overall, scoring 54.3 to 45.0 on the Noometry Index.
Last verified . 38 shared benchmarks.
Summary
- They share 38 benchmarks with published results for both. DeepSeek V4 Pro scores higher in 7 categories and Gemini 2.5 Pro in 2 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where DeepSeek V4 Pro leads 64.8 to 32.5.
- The biggest single-benchmark swing is ARC-AGI-2: 61.3% for DeepSeek V4 Pro and 4.9% for Gemini 2.5 Pro.
- DeepSeek V4 Pro is cheaper at $0.66 / $1.98 per million input/output tokens, against $1.25 / $10 for Gemini 2.5 Pro.
- Gemini 2.5 Pro 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 2.5 Pro | |
|---|---|---|
| Provider | DeepSeek | |
| Noometry Index | 54.3 | 45.0 |
| Released | 2026-04-24 | 2025-03-25 |
| Weights | Open | Proprietary |
| Context window | 1M | 1.05M |
| Max output | 393K | 66K |
| Input $ / M tokens | $0.66 | $1.25 |
| Output $ / M tokens | $1.98 | $10 |
| Results tracked | 48 | 78 |
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Category by category
Coding DeepSeek V4 Pro leads
DeepSeek V4 Pro: 52.4 (#34), Gemini 2.5 Pro: 42.4 (#101)
| Benchmark | DeepSeek V4 Pro | Gemini 2.5 Pro |
|---|---|---|
| SWE-bench Verified | 77.6% | 57.6% |
| LMArena WebDev | 1582 | 1227 |
| SciCode | 51% | 42.8% |
| WeirdML | 66.2% | 54% |
| LMArena Coding | 1470 | 1452 |
| ALE-Bench | 1,403 | 785.52 |
| FrontierCode | 28.6% | — |
| SWE-bench Verified (bash only) | — | 53.6% |
| Aider Polyglot | — | 83.1% |
| GSO | — | 3.9% |
| LiveBench Coding | — | 85.9% |
| CadEval | — | 64% |
| AlgoTune | — | 1.51 |
Agentic & Tool Use DeepSeek V4 Pro leads
DeepSeek V4 Pro: 32.8 (#58), Gemini 2.5 Pro: 29.2 (#88)
| Benchmark | DeepSeek V4 Pro | Gemini 2.5 Pro |
|---|---|---|
| Vending-Bench 2 | 3,285 | 573.64 |
| Terminal-Bench | — | 32.6% |
| APEX-Agents | 47.3% | — |
| GDPval | — | 23.3% |
| Remote Labor Index | — | 0.8% |
| TheAgentCompany | — | 30.3% |
| τ²-bench Banking | — | 13.7% |
| DeepResearch Bench | — | 42.8% |
| BALROG | — | 43.3% |
| LMArena Search | — | 1142 |
| METR Time Horizons | — | 55.4% |
Reasoning DeepSeek V4 Pro leads
DeepSeek V4 Pro: 56.5 (#24), Gemini 2.5 Pro: 28.8 (#99)
| Benchmark | DeepSeek V4 Pro | Gemini 2.5 Pro |
|---|---|---|
| ARC-AGI-2 | 61.3% | 4.9% |
| Kagi LLM Benchmark | 53.5% | 70.3% |
| ARC-AGI-1 | 90.5% | 41% |
| CritPt | 18% | 2% |
| Chess Puzzles | 47% | 20% |
| LMArena Hard Prompts | 1461 | 1455 |
| DTBench | 93.9% | 82.4% |
| LMCA | 45.5% | 34.8% |
| Epoch Capabilities Index | 155.31 | 145.32 |
| ForecastBench | 56.1 | 61.3 |
| SimpleBench | — | 62.4% |
| NYT Connections (extended) | 91.3% | — |
| EnigmaEval | — | 5.6% |
| LiveBench Reasoning | — | 89.8% |
| Mystery Game Puzzles | 43% | — |
| LiveBench Data Analysis | — | 79.9% |
| Surface Evolver Bench | 40% | — |
| LiveBench | — | 82.3% |
Math DeepSeek V4 Pro leads
DeepSeek V4 Pro: 64.8 (#30), Gemini 2.5 Pro: 32.5 (#213)
| Benchmark | DeepSeek V4 Pro | Gemini 2.5 Pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | 64.6% | 24.6% |
| FrontierMath Tier 4 | 26.8% | 0% |
| OTIS Mock AIME 2024-2025 | 98.6% | 84.7% |
| LMArena Math | 1455 | 1450 |
| MathArena Final-Answer Competitions | 76.6% | — |
| ProofBench | 50% | — |
| Omni-MATH | — | 41.6% |
| LiveBench Math | — | 90.2% |
| MATH Level 5 | — | 95.9% |
| FrontierMath (Feb 2025 set) | — | 14.1% |
| FrontierMath Tier 4 (v1) | — | 4.2% |
Knowledge DeepSeek V4 Pro leads
DeepSeek V4 Pro: 59.5 (#31), Gemini 2.5 Pro: 56.0 (#46)
| Benchmark | DeepSeek V4 Pro | Gemini 2.5 Pro |
|---|---|---|
| GPQA Diamond | 91.7% | 85.3% |
| Vectara Hallucination Rate | 8.6% | 7% |
| LMArena Expert | 1464 | 1452 |
| Humanity's Last Exam | — | 21.6% |
| SimpleQA Verified | 52.9% | — |
| MMLU-Pro | — | 86.3% |
| Confabulations | — | 10.6% |
| GPQA (HELM) | — | 74.9% |
Multimodal Not comparable
DeepSeek V4 Pro: —, Gemini 2.5 Pro: 45.2 (#18)
| Benchmark | DeepSeek V4 Pro | Gemini 2.5 Pro |
|---|---|---|
| LMArena Vision | — | 1263 |
| GeoBench | — | 86% |
| VPCT | — | 48% |
| LMArena Document | — | 1421 |
| SpatialViz-Bench | — | 44.7% |
Multilingual Too close to call
DeepSeek V4 Pro: 54.4 (#45), Gemini 2.5 Pro: 55.3 (#31)
| Benchmark | DeepSeek V4 Pro | Gemini 2.5 Pro |
|---|---|---|
| LMArena Non-English | 1439 | 1451 |
| LMArena Chinese | 1486 | 1507 |
| LMArena French | 1472 | 1472 |
| LMArena German | 1458 | 1487 |
| LMArena Japanese | 1445 | 1461 |
| LMArena Korean | 1447 | 1434 |
| LMArena Russian | 1453 | 1461 |
| LMArena Spanish | 1458 | 1473 |
Instruction Following DeepSeek V4 Pro leads
DeepSeek V4 Pro: 76.1 (#47), Gemini 2.5 Pro: 75.0 (#75)
| Benchmark | DeepSeek V4 Pro | Gemini 2.5 Pro |
|---|---|---|
| LMArena Instruction Following | 1448 | 1437 |
| LiveBench Instruction Following | — | 80.6% |
| IFEval | — | 84% |
Long Context Gemini 2.5 Pro leads
DeepSeek V4 Pro: 45.0 (#51), Gemini 2.5 Pro: 59.8 (#5)
| Benchmark | DeepSeek V4 Pro | Gemini 2.5 Pro |
|---|---|---|
| LMArena Longer Query | 1458 | 1449 |
| Fiction.LiveBench | — | 91.7% |
| CL-bench Life | 13.5% | — |
Writing & Preference DeepSeek V4 Pro leads
DeepSeek V4 Pro: 65.5 (#46), Gemini 2.5 Pro: 63.7 (#62)
| Benchmark | DeepSeek V4 Pro | Gemini 2.5 Pro |
|---|---|---|
| LMArena Text | 1451 | 1458 |
| LMArena Creative Writing | 1446 | 1454 |
| EQ-Bench Creative Writing | 1553 | 1421 |
| LMArena Multi-Turn | 1467 | 1453 |
| Short-Story Creative Writing | — | 83.8% |
| WildBench | — | 85.7% |
| EQ-Bench 4 | 1166 | — |
| LiveBench Language | — | 67.8% |
Frequently asked questions
Is DeepSeek V4 Pro better than Gemini 2.5 Pro?
DeepSeek V4 Pro is the stronger model overall, scoring 54.3 to 45.0 on the Noometry Index.
Which is cheaper, DeepSeek V4 Pro or Gemini 2.5 Pro?
DeepSeek V4 Pro is cheaper. It lists at $0.66 per million input tokens and $1.98 per million output tokens; Gemini 2.5 Pro lists at $1.25 and $10.
Is DeepSeek V4 Pro or Gemini 2.5 Pro better for coding?
DeepSeek V4 Pro scores higher on coding benchmarks: 52.4 versus 42.4 in the Noometry coding category.
Which has the bigger context window?
Gemini 2.5 Pro does, with 1.05M tokens against 1M.
How many benchmarks do DeepSeek V4 Pro and Gemini 2.5 Pro share?
38 benchmarks have published results for both models. DeepSeek V4 Pro has 48 scored results on Noometry and Gemini 2.5 Pro has 78.