Model comparison
DeepSeek-V3.1 vs Grok 4.1 Fast
DeepSeek-V3.1 is the stronger model overall, scoring 42.8 to 41.4 on the Noometry Index. Grok 4.1 Fast costs 1.5× less per token, which makes it the better buy when DeepSeek-V3.1's lead doesn't matter for your workload.
Last verified . 22 shared benchmarks.
Summary
- They share 22 benchmarks with published results for both. DeepSeek-V3.1 scores higher in 6 categories and Grok 4.1 Fast in 2 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.1 Fast leads 43.4 to 27.9.
- The biggest single-benchmark swing is SimpleBench: 40% for DeepSeek-V3.1 and 56% for Grok 4.1 Fast.
- Grok 4.1 Fast is cheaper at $0.20 / $0.50 per million input/output tokens, against $0.25 / $0.95 for DeepSeek-V3.1.
- DeepSeek-V3.1 accepts more context: 164K tokens versus 128K.
- DeepSeek-V3.1 has downloadable open weights; the other is API-only.
Side by side
| DeepSeek-V3.1 | Grok 4.1 Fast | |
|---|---|---|
| Provider | DeepSeek | xAI |
| Noometry Index | 42.8 | 41.4 |
| Released | 2025-08-21 | 2025-06-27 |
| Weights | Open | Proprietary |
| Context window | 164K | 128K |
| Max output | 8K | 30K |
| Input $ / M tokens | $0.25 | $0.20 |
| Output $ / M tokens | $0.95 | $0.50 |
| Results tracked | 27 | 32 |
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Category by category
Coding DeepSeek-V3.1 leads
DeepSeek-V3.1: 40.3 (#144), Grok 4.1 Fast: 34.1 (#245)
| Benchmark | DeepSeek-V3.1 | Grok 4.1 Fast |
|---|---|---|
| LMArena Coding | 1417 | 1411 |
| LMArena WebDev | — | 1242 |
| WeirdML | 38.4% | — |
| ALE-Bench | — | 394.93 |
Agentic & Tool Use Not comparable
DeepSeek-V3.1: —, Grok 4.1 Fast: 36.3 (#39)
| Benchmark | DeepSeek-V3.1 | 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: 27.9 (#110), Grok 4.1 Fast: 43.4 (#49)
| Benchmark | DeepSeek-V3.1 | Grok 4.1 Fast |
|---|---|---|
| SimpleBench | 40% | 56% |
| LMArena Hard Prompts | 1417 | 1407 |
| DTBench | 82.7% | 87.7% |
| ForecastBench | 58 | 61 |
| Kagi LLM Benchmark | 53.2% | — |
| NYT Connections (extended) | — | 87.4% |
| LMCA | 24.3% | — |
| Epoch Capabilities Index | 139.92 | — |
Math DeepSeek-V3.1 leads
DeepSeek-V3.1: 38.9 (#122), Grok 4.1 Fast: 31.9 (#221)
| Benchmark | DeepSeek-V3.1 | Grok 4.1 Fast |
|---|---|---|
| LMArena Math | 1420 | 1408 |
| MathArena Final-Answer Competitions | — | 60.9% |
| ProofBench | — | 4% |
Knowledge DeepSeek-V3.1 leads
DeepSeek-V3.1: 43.7 (#90), Grok 4.1 Fast: 33.1 (#207)
| Benchmark | DeepSeek-V3.1 | Grok 4.1 Fast |
|---|---|---|
| Vectara Hallucination Rate | 5.5% | 17.8% |
| LMArena Expert | 1405 | 1399 |
Multimodal Not comparable
DeepSeek-V3.1: —, Grok 4.1 Fast: 37.0 (#76)
| Benchmark | DeepSeek-V3.1 | Grok 4.1 Fast |
|---|---|---|
| LMArena Vision | — | 1201 |
Multilingual Too close to call
DeepSeek-V3.1: 51.6 (#106), Grok 4.1 Fast: 51.0 (#114)
| Benchmark | DeepSeek-V3.1 | Grok 4.1 Fast |
|---|---|---|
| LMArena Non-English | 1400 | 1391 |
| LMArena Chinese | 1469 | 1441 |
| LMArena French | 1447 | 1415 |
| LMArena German | 1411 | 1404 |
| LMArena Japanese | 1378 | 1349 |
| LMArena Korean | 1337 | 1361 |
| LMArena Russian | 1405 | 1387 |
| LMArena Spanish | 1431 | 1413 |
Instruction Following DeepSeek-V3.1 leads
DeepSeek-V3.1: 73.9 (#110), Grok 4.1 Fast: 72.7 (#133)
| Benchmark | DeepSeek-V3.1 | Grok 4.1 Fast |
|---|---|---|
| LMArena Instruction Following | 1400 | 1376 |
Long Context Grok 4.1 Fast leads
DeepSeek-V3.1: 36.3 (#232), Grok 4.1 Fast: 42.4 (#126)
| Benchmark | DeepSeek-V3.1 | Grok 4.1 Fast |
|---|---|---|
| LMArena Longer Query | 1422 | 1390 |
| Fiction.LiveBench | 52.8% | — |
Writing & Preference DeepSeek-V3.1 leads
DeepSeek-V3.1: 60.3 (#98), Grok 4.1 Fast: 57.2 (#131)
| Benchmark | DeepSeek-V3.1 | Grok 4.1 Fast |
|---|---|---|
| LMArena Text | 1420 | 1408 |
| LMArena Creative Writing | 1401 | 1394 |
| EQ-Bench Creative Writing | 1436 | 1327 |
| LMArena Multi-Turn | 1408 | 1389 |
Frequently asked questions
Is DeepSeek-V3.1 better than Grok 4.1 Fast?
DeepSeek-V3.1 is the stronger model overall, scoring 42.8 to 41.4 on the Noometry Index. Grok 4.1 Fast costs 1.5× less per token, which makes it the better buy when DeepSeek-V3.1's lead doesn't matter for your workload.
Which is cheaper, DeepSeek-V3.1 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 lists at $0.25 and $0.95.
Is DeepSeek-V3.1 or Grok 4.1 Fast better for coding?
DeepSeek-V3.1 scores higher on coding benchmarks: 40.3 versus 34.1 in the Noometry coding category.
Which has the bigger context window?
DeepSeek-V3.1 does, with 164K tokens against 128K.
How many benchmarks do DeepSeek-V3.1 and Grok 4.1 Fast share?
22 benchmarks have published results for both models. DeepSeek-V3.1 has 27 scored results on Noometry and Grok 4.1 Fast has 32.