Model comparison
DeepSeek-V3.1-Terminus vs Grok 4.1 Fast
DeepSeek-V3.1-Terminus is the stronger model overall, scoring 43.1 to 41.4 on the Noometry Index. Grok 4.1 Fast costs 1.6× less per token, which makes it the better buy when DeepSeek-V3.1-Terminus's lead doesn't matter for your workload.
Last verified . 12 shared benchmarks.
Summary
- They share 12 benchmarks with published results for both. DeepSeek-V3.1-Terminus scores higher in 6 categories and Grok 4.1 Fast in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.1 Fast leads 43.4 to 26.4.
- The biggest single-benchmark swing is DTBench: 81.3% for DeepSeek-V3.1-Terminus and 87.7% for Grok 4.1 Fast.
- Grok 4.1 Fast is cheaper at $0.20 / $0.50 per million input/output tokens, against $0.27 / $1 for DeepSeek-V3.1-Terminus.
- DeepSeek-V3.1-Terminus accepts more context: 164K tokens versus 128K.
- DeepSeek-V3.1-Terminus has downloadable open weights; the other is API-only.
Side by side
| DeepSeek-V3.1-Terminus | Grok 4.1 Fast | |
|---|---|---|
| Provider | DeepSeek | xAI |
| Noometry Index | 43.1 | 41.4 |
| Released | 2025-09-22 | 2025-06-27 |
| Weights | Open | Proprietary |
| Context window | 164K | 128K |
| Max output | 147K | 30K |
| Input $ / M tokens | $0.27 | $0.20 |
| Output $ / M tokens | $1 | $0.50 |
| Results tracked | 16 | 32 |
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Category by category
Coding DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 42.0 (#113), Grok 4.1 Fast: 34.1 (#245)
| Benchmark | DeepSeek-V3.1-Terminus | Grok 4.1 Fast |
|---|---|---|
| LMArena Coding | 1426 | 1411 |
| ALE-Bench | 745.17 | 394.93 |
| LMArena WebDev | — | 1242 |
| SciCode | 40.6% | — |
Agentic & Tool Use Not comparable
DeepSeek-V3.1-Terminus: —, Grok 4.1 Fast: 36.3 (#39)
| Benchmark | DeepSeek-V3.1-Terminus | Grok 4.1 Fast |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 69.6% |
| τ²-bench Banking | — | 13.1% |
| LMArena Search | — | 1171 |
| Vending-Bench 2 | — | 1,107 |
Reasoning Grok 4.1 Fast leads
DeepSeek-V3.1-Terminus: 26.4 (#133), Grok 4.1 Fast: 43.4 (#49)
| Benchmark | DeepSeek-V3.1-Terminus | Grok 4.1 Fast |
|---|---|---|
| LMArena Hard Prompts | 1426 | 1407 |
| DTBench | 81.3% | 87.7% |
| SimpleBench | — | 56% |
| Kagi LLM Benchmark | 57.4% | — |
| NYT Connections (extended) | — | 87.4% |
| CritPt | 1.7% | — |
| LMCA | 28.6% | — |
| ForecastBench | — | 61 |
Math DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 38.5 (#137), Grok 4.1 Fast: 31.9 (#221)
| Benchmark | DeepSeek-V3.1-Terminus | Grok 4.1 Fast |
|---|---|---|
| LMArena Math | 1402 | 1408 |
| MathArena Final-Answer Competitions | — | 60.9% |
| ProofBench | — | 4% |
Knowledge Not comparable
DeepSeek-V3.1-Terminus: —, Grok 4.1 Fast: 33.1 (#207)
| Benchmark | DeepSeek-V3.1-Terminus | Grok 4.1 Fast |
|---|---|---|
| Vectara Hallucination Rate | — | 17.8% |
| LMArena Expert | — | 1399 |
Multimodal Not comparable
DeepSeek-V3.1-Terminus: —, Grok 4.1 Fast: 37.0 (#76)
| Benchmark | DeepSeek-V3.1-Terminus | Grok 4.1 Fast |
|---|---|---|
| LMArena Vision | — | 1201 |
Multilingual DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 52.1 (#92), Grok 4.1 Fast: 51.0 (#114)
| Benchmark | DeepSeek-V3.1-Terminus | Grok 4.1 Fast |
|---|---|---|
| LMArena Non-English | 1407 | 1391 |
| LMArena Russian | 1436 | 1387 |
| LMArena Chinese | — | 1441 |
| LMArena French | — | 1415 |
| LMArena German | — | 1404 |
| LMArena Japanese | — | 1349 |
| LMArena Korean | — | 1361 |
| LMArena Spanish | — | 1413 |
Instruction Following DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 74.0 (#106), Grok 4.1 Fast: 72.7 (#133)
| Benchmark | DeepSeek-V3.1-Terminus | Grok 4.1 Fast |
|---|---|---|
| LMArena Instruction Following | 1404 | 1376 |
Long Context DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 43.4 (#97), Grok 4.1 Fast: 42.4 (#126)
| Benchmark | DeepSeek-V3.1-Terminus | Grok 4.1 Fast |
|---|---|---|
| LMArena Longer Query | 1421 | 1390 |
Writing & Preference DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 61.0 (#92), Grok 4.1 Fast: 57.2 (#131)
| Benchmark | DeepSeek-V3.1-Terminus | Grok 4.1 Fast |
|---|---|---|
| LMArena Text | 1419 | 1408 |
| LMArena Creative Writing | 1403 | 1394 |
| LMArena Multi-Turn | 1411 | 1389 |
| EQ-Bench Creative Writing | — | 1327 |
Frequently asked questions
Is DeepSeek-V3.1-Terminus better than Grok 4.1 Fast?
DeepSeek-V3.1-Terminus is the stronger model overall, scoring 43.1 to 41.4 on the Noometry Index. Grok 4.1 Fast costs 1.6× less per token, which makes it the better buy when DeepSeek-V3.1-Terminus's lead doesn't matter for your workload.
Which is cheaper, DeepSeek-V3.1-Terminus or Grok 4.1 Fast?
Grok 4.1 Fast is cheaper. It lists at $0.20 per million input tokens and $0.50 per million output tokens; DeepSeek-V3.1-Terminus lists at $0.27 and $1.
Is DeepSeek-V3.1-Terminus or Grok 4.1 Fast better for coding?
DeepSeek-V3.1-Terminus scores higher on coding benchmarks: 42.0 versus 34.1 in the Noometry coding category.
Which has the bigger context window?
DeepSeek-V3.1-Terminus does, with 164K tokens against 128K.
How many benchmarks do DeepSeek-V3.1-Terminus and Grok 4.1 Fast share?
12 benchmarks have published results for both models. DeepSeek-V3.1-Terminus has 16 scored results on Noometry and Grok 4.1 Fast has 32.