Model comparison
DeepSeek-V3.1-Terminus vs Grok 4
Grok 4 is the stronger model overall, scoring 47.8 to 42.6 on the Noometry Index.
Last verified . 11 shared benchmarks.
Summary
- They share 11 benchmarks with published results for both. DeepSeek-V3.1-Terminus scores higher in 2 categories and Grok 4 in 5 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in long context, where Grok 4 leads 63.1 to 43.5.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 57.4% for DeepSeek-V3.1-Terminus and 73.6% for Grok 4.
- DeepSeek-V3.1-Terminus has downloadable open weights; the other is API-only.
Side by side
| DeepSeek-V3.1-Terminus | Grok 4 | |
|---|---|---|
| Provider | DeepSeek | xAI |
| Noometry Index | 42.6 | 47.8 |
| Released | 2025-09-22 | 2025-07-09 |
| Weights | Open | Proprietary |
| Context window | 164K | — |
| Max output | 66K | — |
| Input $ / M tokens | $0.30 | — |
| Output $ / M tokens | $1 | — |
| Results tracked | 16 | 48 |
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Category by category
Coding Grok 4 leads
DeepSeek-V3.1-Terminus: 41.5 (#114), Grok 4: 49.9 (#44)
| Benchmark | DeepSeek-V3.1-Terminus | Grok 4 |
|---|---|---|
| LMArena Coding | 1426 | 1408 |
| Aider Polyglot | — | 79.6% |
| SciCode | 40.6% | — |
| WeirdML | — | 45.7% |
| ALE-Bench | 745.17 | — |
Agentic & Tool Use Not comparable
DeepSeek-V3.1-Terminus: —, Grok 4: 32.1 (#62)
| Benchmark | DeepSeek-V3.1-Terminus | Grok 4 |
|---|---|---|
| Terminal-Bench | — | 27.2% |
| Berkeley Function Calling Leaderboard | — | 63% |
| GDPval | — | 21.1% |
| Cybench | — | 43% |
| DeepResearch Bench | — | 47.3% |
| BALROG | — | 43.6% |
| LMArena Search | — | 1142 |
| METR Time Horizons | — | 66.6% |
Reasoning Grok 4 leads
DeepSeek-V3.1-Terminus: 25.7 (#126), Grok 4: 36.9 (#59)
| Benchmark | DeepSeek-V3.1-Terminus | Grok 4 |
|---|---|---|
| Kagi LLM Benchmark | 57.4% | 73.6% |
| LMArena Hard Prompts | 1427 | 1409 |
| ARC-AGI-2 | — | 16% |
| SimpleBench | — | 60.5% |
| ARC-AGI-1 | — | 66.7% |
| CritPt | 1.7% | — |
| Chess Puzzles | — | 28% |
| DTBench | 81.3% | — |
| LMCA | 28.6% | — |
| Epoch Capabilities Index | — | 146.46 |
| ForecastBench | — | 60.9 |
Math Grok 4 leads
DeepSeek-V3.1-Terminus: 35.7 (#138), Grok 4: 46.5 (#58)
| Benchmark | DeepSeek-V3.1-Terminus | Grok 4 |
|---|---|---|
| LMArena Math | 1402 | 1422 |
| OTIS Mock AIME 2024-2025 | — | 84% |
| Omni-MATH | — | 60.3% |
| FrontierMath (Feb 2025 set) | — | 19.7% |
| FrontierMath Tier 4 (v1) | — | 2.1% |
Knowledge Not comparable
DeepSeek-V3.1-Terminus: —, Grok 4: 53.7 (#50)
| Benchmark | DeepSeek-V3.1-Terminus | Grok 4 |
|---|---|---|
| GPQA Diamond | — | 87% |
| MMLU-Pro | — | 85.1% |
| Confabulations | — | 12.4% |
| GPQA (HELM) | — | 72.7% |
| LMArena Expert | — | 1417 |
Multimodal Not comparable
DeepSeek-V3.1-Terminus: —, Grok 4: 33.1 (#89)
| Benchmark | DeepSeek-V3.1-Terminus | Grok 4 |
|---|---|---|
| LMArena Vision | — | 1211 |
| GeoBench | — | 45% |
Multilingual Too close to call
DeepSeek-V3.1-Terminus: 52.3 (#87), Grok 4: 52.0 (#98)
| Benchmark | DeepSeek-V3.1-Terminus | Grok 4 |
|---|---|---|
| LMArena Non-English | 1407 | 1403 |
| LMArena Russian | 1434 | 1409 |
| LMArena Chinese | — | 1428 |
| LMArena French | — | 1418 |
| LMArena German | — | 1429 |
| LMArena Japanese | — | 1396 |
| LMArena Korean | — | 1376 |
| LMArena Spanish | — | 1419 |
Instruction Following Grok 4 leads
DeepSeek-V3.1-Terminus: 74.4 (#96), Grok 4: 79.4 (#4)
| Benchmark | DeepSeek-V3.1-Terminus | Grok 4 |
|---|---|---|
| LMArena Instruction Following | 1406 | 1387 |
| IFEval | — | 94.9% |
Long Context Grok 4 leads
DeepSeek-V3.1-Terminus: 43.5 (#88), Grok 4: 63.1 (#4)
| Benchmark | DeepSeek-V3.1-Terminus | Grok 4 |
|---|---|---|
| LMArena Longer Query | 1426 | 1409 |
| Fiction.LiveBench | — | 94.4% |
Writing & Preference DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 61.3 (#87), Grok 4: 58.7 (#111)
| Benchmark | DeepSeek-V3.1-Terminus | Grok 4 |
|---|---|---|
| LMArena Text | 1420 | 1412 |
| LMArena Creative Writing | 1404 | 1397 |
| LMArena Multi-Turn | 1411 | 1416 |
| Short-Story Creative Writing | — | 76.9% |
| WildBench | — | 79.7% |
Frequently asked questions
Is DeepSeek-V3.1-Terminus better than Grok 4?
Grok 4 is the stronger model overall, scoring 47.8 to 42.6 on the Noometry Index.
Is DeepSeek-V3.1-Terminus or Grok 4 better for coding?
Grok 4 scores higher on coding benchmarks: 49.9 versus 41.5 in the Noometry coding category.
How many benchmarks do DeepSeek-V3.1-Terminus and Grok 4 share?
11 benchmarks have published results for both models. DeepSeek-V3.1-Terminus has 16 scored results on Noometry and Grok 4 has 48.