Model comparison
DeepSeek-V3.1-Terminus vs Grok 4 Fast
DeepSeek-V3.1-Terminus is the stronger model overall, scoring 42.6 to 39.0 on the Noometry Index.
Last verified . 12 shared benchmarks.
Summary
- They share 12 benchmarks with published results for both. DeepSeek-V3.1-Terminus scores higher in 5 categories and Grok 4 Fast in 2 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in long context, where Grok 4 Fast leads 63.2 to 43.5.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 57.4% for DeepSeek-V3.1-Terminus and 66.1% for Grok 4 Fast.
- DeepSeek-V3.1-Terminus has downloadable open weights; the other is API-only.
Side by side
| DeepSeek-V3.1-Terminus | Grok 4 Fast | |
|---|---|---|
| Provider | DeepSeek | xAI |
| Noometry Index | 42.6 | 39.0 |
| Released | 2025-09-22 | 2025-09-19 |
| Weights | Open | Proprietary |
| Context window | 164K | — |
| Max output | 66K | — |
| Input $ / M tokens | $0.30 | — |
| Output $ / M tokens | $1 | — |
| Results tracked | 16 | 30 |
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Category by category
Coding DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 41.5 (#114), Grok 4 Fast: 32.3 (#264)
| Benchmark | DeepSeek-V3.1-Terminus | Grok 4 Fast |
|---|---|---|
| LMArena Coding | 1426 | 1429 |
| LMArena WebDev | — | 1160 |
| SciCode | 40.6% | — |
| WeirdML | — | 42.9% |
| ALE-Bench | 745.17 | — |
Agentic & Tool Use Not comparable
DeepSeek-V3.1-Terminus: —, Grok 4 Fast: 29.3 (#80)
| Benchmark | DeepSeek-V3.1-Terminus | Grok 4 Fast |
|---|---|---|
| τ²-bench Banking | — | 15.7% |
| Cybench | — | 30% |
| LMArena Search | — | 1171 |
Reasoning DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 25.7 (#126), Grok 4 Fast: 22.5 (#179)
| Benchmark | DeepSeek-V3.1-Terminus | Grok 4 Fast |
|---|---|---|
| Kagi LLM Benchmark | 57.4% | 66.1% |
| LMArena Hard Prompts | 1427 | 1413 |
| DTBench | 81.3% | 82.7% |
| ARC-AGI-2 | — | 5.3% |
| ARC-AGI-1 | — | 48.5% |
| CritPt | 1.7% | — |
| LMCA | 28.6% | — |
| Epoch Capabilities Index | — | 144.21 |
| ForecastBench | — | 60.5 |
Math Too close to call
DeepSeek-V3.1-Terminus: 35.7 (#138), Grok 4 Fast: 36.1 (#126)
| Benchmark | DeepSeek-V3.1-Terminus | Grok 4 Fast |
|---|---|---|
| LMArena Math | 1402 | 1419 |
Knowledge Not comparable
DeepSeek-V3.1-Terminus: —, Grok 4 Fast: 31.5 (#211)
| Benchmark | DeepSeek-V3.1-Terminus | Grok 4 Fast |
|---|---|---|
| Vectara Hallucination Rate | — | 19.7% |
| LMArena Expert | — | 1411 |
Multilingual Too close to call
DeepSeek-V3.1-Terminus: 52.3 (#87), Grok 4 Fast: 51.5 (#106)
| Benchmark | DeepSeek-V3.1-Terminus | Grok 4 Fast |
|---|---|---|
| LMArena Non-English | 1407 | 1397 |
| LMArena Russian | 1434 | 1387 |
| LMArena Chinese | — | 1458 |
| LMArena French | — | 1433 |
| LMArena German | — | 1383 |
| LMArena Japanese | — | 1358 |
| LMArena Korean | — | 1359 |
| LMArena Spanish | — | 1414 |
Instruction Following Too close to call
DeepSeek-V3.1-Terminus: 74.4 (#96), Grok 4 Fast: 73.4 (#116)
| Benchmark | DeepSeek-V3.1-Terminus | Grok 4 Fast |
|---|---|---|
| LMArena Instruction Following | 1406 | 1388 |
Long Context Grok 4 Fast leads
DeepSeek-V3.1-Terminus: 43.5 (#88), Grok 4 Fast: 63.2 (#3)
| Benchmark | DeepSeek-V3.1-Terminus | Grok 4 Fast |
|---|---|---|
| LMArena Longer Query | 1426 | 1415 |
| Fiction.LiveBench | — | 94.4% |
Writing & Preference DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 61.3 (#87), Grok 4 Fast: 60.2 (#96)
| Benchmark | DeepSeek-V3.1-Terminus | Grok 4 Fast |
|---|---|---|
| LMArena Text | 1420 | 1407 |
| LMArena Creative Writing | 1404 | 1388 |
| LMArena Multi-Turn | 1411 | 1414 |
Frequently asked questions
Is DeepSeek-V3.1-Terminus better than Grok 4 Fast?
DeepSeek-V3.1-Terminus is the stronger model overall, scoring 42.6 to 39.0 on the Noometry Index.
Is DeepSeek-V3.1-Terminus or Grok 4 Fast better for coding?
DeepSeek-V3.1-Terminus scores higher on coding benchmarks: 41.5 versus 32.3 in the Noometry coding category.
How many benchmarks do DeepSeek-V3.1-Terminus and Grok 4 Fast share?
12 benchmarks have published results for both models. DeepSeek-V3.1-Terminus has 16 scored results on Noometry and Grok 4 Fast has 30.