Model comparison
DeepSeek V4 Pro vs Grok Build 0.1
DeepSeek V4 Pro is the stronger model overall, scoring 54.3 to 36.4 on the Noometry Index.
Last verified . 2 shared benchmarks.
DeepSeekSummary
- They share 2 benchmarks with published results for both. DeepSeek V4 Pro scores higher in 3 categories and Grok Build 0.1 in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek V4 Pro leads 56.5 to 32.2.
- The biggest single-benchmark swing is CritPt: 18% for DeepSeek V4 Pro and 9.1% for Grok Build 0.1.
- DeepSeek V4 Pro is cheaper at $0.66 / $1.98 per million input/output tokens, against $1 / $2 for Grok Build 0.1.
- DeepSeek V4 Pro accepts more context: 1M tokens versus 256K.
- DeepSeek V4 Pro has downloadable open weights; the other is API-only.
Side by side
| DeepSeek V4 Pro | Grok Build 0.1 | |
|---|---|---|
| Provider | DeepSeek | xAI |
| Noometry Index | 54.3 | 36.4 |
| Released | 2026-04-24 | 2026-04-16 |
| Weights | Open | Proprietary |
| Context window | 1M | 256K |
| Max output | 393K | 256K |
| Input $ / M tokens | $0.66 | $1 |
| Output $ / M tokens | $1.98 | $2 |
| Results tracked | 48 | 3 |
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Category by category
Coding DeepSeek V4 Pro leads
DeepSeek V4 Pro: 52.4 (#34), Grok Build 0.1: 43.1 (#91)
| Benchmark | DeepSeek V4 Pro | Grok Build 0.1 |
|---|---|---|
| SciCode | 51% | 50.2% |
| SWE-bench Verified | 77.6% | — |
| FrontierCode | 28.6% | — |
| LMArena WebDev | 1582 | — |
| WeirdML | 66.2% | — |
| LMArena Coding | 1470 | — |
| ALE-Bench | 1,403 | — |
Agentic & Tool Use DeepSeek V4 Pro leads
DeepSeek V4 Pro: 32.8 (#58), Grok Build 0.1: 22.7 (#129)
| Benchmark | DeepSeek V4 Pro | Grok Build 0.1 |
|---|---|---|
| APEX-Agents | 47.3% | — |
| GBAEval | — | 2.4% |
| Vending-Bench 2 | 3,285 | — |
Reasoning DeepSeek V4 Pro leads
DeepSeek V4 Pro: 56.5 (#24), Grok Build 0.1: 32.2 (#77)
| Benchmark | DeepSeek V4 Pro | Grok Build 0.1 |
|---|---|---|
| CritPt | 18% | 9.1% |
| ARC-AGI-2 | 61.3% | — |
| Kagi LLM Benchmark | 53.5% | — |
| NYT Connections (extended) | 91.3% | — |
| ARC-AGI-1 | 90.5% | — |
| Chess Puzzles | 47% | — |
| LMArena Hard Prompts | 1461 | — |
| Mystery Game Puzzles | 43% | — |
| DTBench | 93.9% | — |
| LMCA | 45.5% | — |
| Surface Evolver Bench | 40% | — |
| Epoch Capabilities Index | 155.31 | — |
| ForecastBench | 56.1 | — |
Math Not comparable
DeepSeek V4 Pro: 64.8 (#30), Grok Build 0.1: —
| Benchmark | DeepSeek V4 Pro | Grok Build 0.1 |
|---|---|---|
| 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 (#31), Grok Build 0.1: —
| Benchmark | DeepSeek V4 Pro | Grok Build 0.1 |
|---|---|---|
| GPQA Diamond | 91.7% | — |
| SimpleQA Verified | 52.9% | — |
| Vectara Hallucination Rate | 8.6% | — |
| LMArena Expert | 1464 | — |
Multilingual Not comparable
DeepSeek V4 Pro: 54.4 (#45), Grok Build 0.1: —
| Benchmark | DeepSeek V4 Pro | Grok Build 0.1 |
|---|---|---|
| LMArena Non-English | 1439 | — |
| LMArena Chinese | 1486 | — |
| LMArena French | 1472 | — |
| LMArena German | 1458 | — |
| LMArena Japanese | 1445 | — |
| LMArena Korean | 1447 | — |
| LMArena Russian | 1453 | — |
| LMArena Spanish | 1458 | — |
Instruction Following Not comparable
DeepSeek V4 Pro: 76.1 (#47), Grok Build 0.1: —
| Benchmark | DeepSeek V4 Pro | Grok Build 0.1 |
|---|---|---|
| LMArena Instruction Following | 1448 | — |
Long Context Not comparable
DeepSeek V4 Pro: 45.0 (#51), Grok Build 0.1: —
| Benchmark | DeepSeek V4 Pro | Grok Build 0.1 |
|---|---|---|
| CL-bench Life | 13.5% | — |
| LMArena Longer Query | 1458 | — |
Writing & Preference Not comparable
DeepSeek V4 Pro: 65.5 (#46), Grok Build 0.1: —
| Benchmark | DeepSeek V4 Pro | Grok Build 0.1 |
|---|---|---|
| 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 Grok Build 0.1?
DeepSeek V4 Pro is the stronger model overall, scoring 54.3 to 36.4 on the Noometry Index.
Which is cheaper, DeepSeek V4 Pro or Grok Build 0.1?
DeepSeek V4 Pro is cheaper. It lists at $0.66 per million input tokens and $1.98 per million output tokens; Grok Build 0.1 lists at $1 and $2.
Is DeepSeek V4 Pro or Grok Build 0.1 better for coding?
DeepSeek V4 Pro scores higher on coding benchmarks: 52.4 versus 43.1 in the Noometry coding category.
Which has the bigger context window?
DeepSeek V4 Pro does, with 1M tokens against 256K.
How many benchmarks do DeepSeek V4 Pro and Grok Build 0.1 share?
2 benchmarks have published results for both models. DeepSeek V4 Pro has 48 scored results on Noometry and Grok Build 0.1 has 3.