# DeepSeek-V3.1-Terminus vs Grok 4.3

> Grok 4.3 is the stronger model overall, scoring 43.6 to 42.6 on the Noometry Index. DeepSeek-V3.1-Terminus costs 3.3× less per token, which makes it the better buy when Grok 4.3's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/deepseek-v3-1-terminus-vs-grok-4-3
- Last updated: 2026-10-10
- Shared benchmarks: 15

## Summary

- They share 15 benchmarks with published results for both. DeepSeek-V3.1-Terminus scores higher in 5 categories and Grok 4.3 in 2 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in math, where Grok 4.3 leads 45.8 to 35.7.
- The biggest single-benchmark swing is LMCA: 28.6% for DeepSeek-V3.1-Terminus and 38.3% for Grok 4.3.
- DeepSeek-V3.1-Terminus is cheaper at $0.30 / $1 per million input/output tokens, against $1.25 / $2.50 for Grok 4.3.
- Grok 4.3 accepts more context: 1M tokens versus 164K.
- DeepSeek-V3.1-Terminus has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek-V3.1-Terminus | Grok 4.3 |
|---|---|---|
| Provider | DeepSeek | xAI |
| Noometry Index | 42.6 | 43.6 |
| Rank | 96 | 80 |
| Context | 164K | 1M |
| Input $/M | $0.30 | $1.25 |
| Output $/M | $1 | $2.50 |
| Weights | Open | Proprietary |

## Coding

- DeepSeek-V3.1-Terminus: 41.5 (#114)
- Grok 4.3: 41.3 (#117)

| Benchmark | DeepSeek-V3.1-Terminus | Grok 4.3 |
|---|---|---|
| SciCode | 40.6% | 47.3% |
| LMArena Coding | 1426 | 1415 |
| ALE-Bench | 745.17 | 944.17 |
| LMArena WebDev | — | 1357 |
| WeirdML | — | 49.9% |

## Agentic & Tool Use

- DeepSeek-V3.1-Terminus: —
- Grok 4.3: 27.6 (#93)

| Benchmark | DeepSeek-V3.1-Terminus | Grok 4.3 |
|---|---|---|
| GDP.pdf | — | 8% |
| LMArena Search | — | 1165 |
| Vending-Bench 2 | — | 35.26 |

## Reasoning

- DeepSeek-V3.1-Terminus: 25.7 (#126)
- Grok 4.3: 34.9 (#60)

| Benchmark | DeepSeek-V3.1-Terminus | Grok 4.3 |
|---|---|---|
| CritPt | 1.7% | 8% |
| LMArena Hard Prompts | 1427 | 1397 |
| DTBench | 81.3% | 90.7% |
| LMCA | 28.6% | 38.3% |
| Kagi LLM Benchmark | 57.4% | — |
| NYT Connections (extended) | — | 55.2% |
| Chess Puzzles | — | 25% |
| Epoch Capabilities Index | — | 149.13 |
| ForecastBench | — | 60.3 |

## Math

- DeepSeek-V3.1-Terminus: 35.7 (#138)
- Grok 4.3: 45.8 (#60)

| Benchmark | DeepSeek-V3.1-Terminus | Grok 4.3 |
|---|---|---|
| LMArena Math | 1402 | 1388 |
| FrontierMath (Tiers 1-3) | — | 42.8% |
| FrontierMath Tier 4 | — | 14.6% |
| OTIS Mock AIME 2024-2025 | — | 93.3% |
| ProofBench | — | 11% |

## Knowledge

- DeepSeek-V3.1-Terminus: —
- Grok 4.3: 52.5 (#57)

| Benchmark | DeepSeek-V3.1-Terminus | Grok 4.3 |
|---|---|---|
| GPQA Diamond | — | 88.8% |
| SimpleQA Verified | — | 33.2% |
| LMArena Expert | — | 1385 |

## Multimodal

- DeepSeek-V3.1-Terminus: —
- Grok 4.3: 31.6 (#96)

| Benchmark | DeepSeek-V3.1-Terminus | Grok 4.3 |
|---|---|---|
| LMArena Vision | — | 1231 |
| Blueprint-Bench 2 | — | 0% |

## Multilingual

- DeepSeek-V3.1-Terminus: 52.3 (#87)
- Grok 4.3: 50.7 (#114)

| Benchmark | DeepSeek-V3.1-Terminus | Grok 4.3 |
|---|---|---|
| LMArena Non-English | 1407 | 1385 |
| LMArena Russian | 1434 | 1399 |
| LMArena Chinese | — | 1423 |
| LMArena French | — | 1412 |
| LMArena German | — | 1395 |
| LMArena Japanese | — | 1379 |
| LMArena Korean | — | 1357 |
| LMArena Spanish | — | 1402 |

## Instruction Following

- DeepSeek-V3.1-Terminus: 74.4 (#96)
- Grok 4.3: 72.3 (#135)

| Benchmark | DeepSeek-V3.1-Terminus | Grok 4.3 |
|---|---|---|
| LMArena Instruction Following | 1406 | 1366 |

## Long Context

- DeepSeek-V3.1-Terminus: 43.5 (#88)
- Grok 4.3: 42.5 (#118)

| Benchmark | DeepSeek-V3.1-Terminus | Grok 4.3 |
|---|---|---|
| LMArena Longer Query | 1426 | 1393 |

## Writing & Preference

- DeepSeek-V3.1-Terminus: 61.3 (#87)
- Grok 4.3: 58.6 (#112)

| Benchmark | DeepSeek-V3.1-Terminus | Grok 4.3 |
|---|---|---|
| LMArena Text | 1420 | 1397 |
| LMArena Creative Writing | 1404 | 1380 |
| LMArena Multi-Turn | 1411 | 1406 |
| EQ-Bench 4 | — | 1075 |

## FAQ

### Is DeepSeek-V3.1-Terminus better than Grok 4.3?

Grok 4.3 is the stronger model overall, scoring 43.6 to 42.6 on the Noometry Index. DeepSeek-V3.1-Terminus costs 3.3× less per token, which makes it the better buy when Grok 4.3's lead doesn't matter for your workload.

### Which is cheaper, DeepSeek-V3.1-Terminus or Grok 4.3?

DeepSeek-V3.1-Terminus is cheaper. It lists at $0.30 per million input tokens and $1 per million output tokens; Grok 4.3 lists at $1.25 and $2.50.

### Is DeepSeek-V3.1-Terminus or Grok 4.3 better for coding?

They score almost the same on coding (41.5 vs 41.3); test both on your own repository before choosing.

### Which has the bigger context window?

Grok 4.3 does, with 1M tokens against 164K.

### How many benchmarks do DeepSeek-V3.1-Terminus and Grok 4.3 share?

15 benchmarks have published results for both models. DeepSeek-V3.1-Terminus has 16 scored results on Noometry and Grok 4.3 has 40.