Model comparison
DeepSeek V4 Pro vs Gemini Robotics-ER 1.6
DeepSeek V4 Pro has enough public results to be ranked (#28); Gemini Robotics-ER 1.6 does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
DeepSeek
GoogleSummary
- DeepSeek V4 Pro has downloadable open weights; the other is API-only.
Side by side
| DeepSeek V4 Pro | Gemini Robotics-ER 1.6 | |
|---|---|---|
| Provider | DeepSeek | |
| Noometry Index | 54.2 | 32.8 |
| Released | 2026-04-24 | 2026-04-14 |
| Weights | Open | Proprietary |
| Context window | 1M | — |
| Max output | 393K | — |
| Input $ / M tokens | $0.43 | — |
| Output $ / M tokens | $0.87 | — |
| Results tracked | 48 | 1 |
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Category by category
Coding Not comparable
DeepSeek V4 Pro: 52.2 (#31), Gemini Robotics-ER 1.6: —
| Benchmark | DeepSeek V4 Pro | Gemini Robotics-ER 1.6 |
|---|---|---|
| SWE-bench Verified | 77.6% | — |
| FrontierCode | 28.6% | — |
| LMArena WebDev | 1582 | — |
| SciCode | 51% | — |
| WeirdML | 66.2% | — |
| LMArena Coding | 1470 | — |
| ALE-Bench | 1,403 | — |
Agentic & Tool Use Not comparable
DeepSeek V4 Pro: 32.7 (#54), Gemini Robotics-ER 1.6: —
| Benchmark | DeepSeek V4 Pro | Gemini Robotics-ER 1.6 |
|---|---|---|
| APEX-Agents | 47.3% | — |
| Vending-Bench 2 | 3,285 | — |
Reasoning Not comparable
DeepSeek V4 Pro: 56.4 (#22), Gemini Robotics-ER 1.6: —
| Benchmark | DeepSeek V4 Pro | Gemini Robotics-ER 1.6 |
|---|---|---|
| ARC-AGI-2 | 61.3% | — |
| Kagi LLM Benchmark | 53.5% | — |
| NYT Connections (extended) | 91.3% | — |
| ARC-AGI-1 | 90.5% | — |
| CritPt | 18% | — |
| Chess Puzzles | 47% | — |
| LMArena Hard Prompts | 1461 | — |
| Mystery Game Puzzles | 43% | — |
| DTBench | 93.9% | — |
| LMCA | 45.5% | — |
| Surface Evolver Bench | 40% | — |
| Epoch Capabilities Index | 155.39 | — |
| ForecastBench | 56.1 | — |
Math Not comparable
DeepSeek V4 Pro: 64.6 (#24), Gemini Robotics-ER 1.6: —
| Benchmark | DeepSeek V4 Pro | Gemini Robotics-ER 1.6 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 64.6% | — |
| FrontierMath Tier 4 | 26.8% | — |
| MathArena Final-Answer Competitions | 76.6% | — |
| OTIS Mock AIME 2024-2025 | 98.6% | — |
| ProofBench | 50% | — |
| LMArena Math | 1455 | — |
Knowledge Not comparable
DeepSeek V4 Pro: 59.5 (#28), Gemini Robotics-ER 1.6: —
| Benchmark | DeepSeek V4 Pro | Gemini Robotics-ER 1.6 |
|---|---|---|
| GPQA Diamond | 91.7% | — |
| SimpleQA Verified | 52.9% | — |
| Vectara Hallucination Rate | 8.6% | — |
| LMArena Expert | 1463 | — |
Multimodal Not comparable
DeepSeek V4 Pro: —, Gemini Robotics-ER 1.6: 27.0
| Benchmark | DeepSeek V4 Pro | Gemini Robotics-ER 1.6 |
|---|---|---|
| Blueprint-Bench 2 | — | 0% |
Multilingual Not comparable
DeepSeek V4 Pro: 54.5 (#44), Gemini Robotics-ER 1.6: —
| Benchmark | DeepSeek V4 Pro | Gemini Robotics-ER 1.6 |
|---|---|---|
| LMArena Non-English | 1438 | — |
| LMArena Chinese | 1486 | — |
| LMArena French | 1473 | — |
| LMArena German | 1458 | — |
| LMArena Japanese | 1448 | — |
| LMArena Korean | 1452 | — |
| LMArena Russian | 1452 | — |
| LMArena Spanish | 1457 | — |
Instruction Following Not comparable
DeepSeek V4 Pro: 76.3 (#44), Gemini Robotics-ER 1.6: —
| Benchmark | DeepSeek V4 Pro | Gemini Robotics-ER 1.6 |
|---|---|---|
| LMArena Instruction Following | 1448 | — |
Long Context Not comparable
DeepSeek V4 Pro: 45.0 (#49), Gemini Robotics-ER 1.6: —
| Benchmark | DeepSeek V4 Pro | Gemini Robotics-ER 1.6 |
|---|---|---|
| CL-bench Life | 13.5% | — |
| LMArena Longer Query | 1459 | — |
Writing & Preference Not comparable
DeepSeek V4 Pro: 65.6 (#45), Gemini Robotics-ER 1.6: —
| Benchmark | DeepSeek V4 Pro | Gemini Robotics-ER 1.6 |
|---|---|---|
| LMArena Text | 1451 | — |
| LMArena Creative Writing | 1446 | — |
| EQ-Bench Creative Writing | 1553 | — |
| EQ-Bench 4 | 1166 | — |
| LMArena Multi-Turn | 1467 | — |
Frequently asked questions
Is DeepSeek V4 Pro better than Gemini Robotics-ER 1.6?
DeepSeek V4 Pro has enough public results to be ranked (#28); Gemini Robotics-ER 1.6 does not yet, so treat this comparison as directional.
How many benchmarks do DeepSeek V4 Pro and Gemini Robotics-ER 1.6 share?
0 benchmarks have published results for both models. DeepSeek V4 Pro has 48 scored results on Noometry and Gemini Robotics-ER 1.6 has 1.