# DeepSeek-V3.2-Exp vs Grok 4.20 (Non-Reasoning)

> Grok 4.20 (Non-Reasoning) is the stronger model overall, scoring 48.5 to 44.9 on the Noometry Index. DeepSeek-V3.2-Exp costs 5.4× less per token, which makes it the better buy when Grok 4.20 (Non-Reasoning)'s lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/deepseek-v3-2-exp-vs-grok-4-20
- Last updated: 2026-10-10
- Shared benchmarks: 36

## Summary

- They share 36 benchmarks with published results for both. DeepSeek-V3.2-Exp scores higher in 3 categories and Grok 4.20 (Non-Reasoning) in 6 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.20 (Non-Reasoning) leads 52.2 to 22.0.
- The biggest single-benchmark swing is ARC-AGI-2: 4% for DeepSeek-V3.2-Exp and 65.1% for Grok 4.20 (Non-Reasoning).
- DeepSeek-V3.2-Exp is cheaper at $0.26 / $0.38 per million input/output tokens, against $1.25 / $2.50 for Grok 4.20 (Non-Reasoning).
- Grok 4.20 (Non-Reasoning) accepts more context: 1M tokens versus 164K.
- DeepSeek-V3.2-Exp has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek-V3.2-Exp | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| Provider | DeepSeek | xAI |
| Noometry Index | 44.9 | 48.5 |
| Rank | 68 | 48 |
| Context | 164K | 1M |
| Input $/M | $0.26 | $1.25 |
| Output $/M | $0.38 | $2.50 |
| Weights | Open | Proprietary |

## Coding

- DeepSeek-V3.2-Exp: 46.4 (#61)
- Grok 4.20 (Non-Reasoning): 41.8 (#104)

| Benchmark | DeepSeek-V3.2-Exp | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| LMArena WebDev | 1362 | 1374 |
| WeirdML | 39.5% | 52.3% |
| LMArena Coding | 1454 | 1458 |
| SWE-bench Verified (bash only) | 70% | — |
| Aider Polyglot | 74.2% | — |
| SWE-bench Multilingual | 59% | — |
| SciCode | 38.9% | — |
| ALE-Bench | — | 1,150 |

## Agentic & Tool Use

- DeepSeek-V3.2-Exp: 37.9 (#31)
- Grok 4.20 (Non-Reasoning): 34.3 (#43)

| Benchmark | DeepSeek-V3.2-Exp | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| Terminal-Bench | 39.6% | 57.3% |
| Vending-Bench 2 | 1,034 | 4,663 |
| Berkeley Function Calling Leaderboard | 56.7% | — |
| TheAgentCompany | 42.9% | — |
| τ²-bench Banking | — | 18% |
| LMArena Search | — | 1189 |

## Reasoning

- DeepSeek-V3.2-Exp: 22.0 (#185)
- Grok 4.20 (Non-Reasoning): 52.2 (#30)

| Benchmark | DeepSeek-V3.2-Exp | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| ARC-AGI-2 | 4% | 65.1% |
| Kagi LLM Benchmark | 52.2% | 75% |
| NYT Connections (extended) | 36.7% | 85.4% |
| ARC-AGI-1 | 57% | 89.5% |
| Chess Puzzles | 14% | 24% |
| Thematic Generalization | 65% | 63.8% |
| LMArena Hard Prompts | 1433 | 1451 |
| DTBench | 87.7% | 90.1% |
| LMCA | 29.1% | 38.7% |
| Epoch Capabilities Index | 146.28 | 152.01 |
| CritPt | 2.9% | — |
| ForecastBench | — | 61.4 |

## Math

- DeepSeek-V3.2-Exp: 40.8 (#75)
- Grok 4.20 (Non-Reasoning): 48.0 (#54)

| Benchmark | DeepSeek-V3.2-Exp | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 87.8% | 92.2% |
| ProofBench | 8% | 14% |
| LMArena Math | 1435 | 1455 |
| FrontierMath (Tiers 1-3) | — | 44.9% |
| FrontierMath Tier 4 | — | 17.1% |
| MathArena Final-Answer Competitions | 57.7% | — |
| FrontierMath (Feb 2025 set) | 22.1% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |

## Knowledge

- DeepSeek-V3.2-Exp: 51.6 (#61)
- Grok 4.20 (Non-Reasoning): 52.8 (#54)

| Benchmark | DeepSeek-V3.2-Exp | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| GPQA Diamond | 83.4% | 89.3% |
| LMArena Expert | 1436 | 1440 |
| SimpleQA Verified | — | 30.2% |
| Vectara Hallucination Rate | 5.3% | — |

## Multimodal

- DeepSeek-V3.2-Exp: —
- Grok 4.20 (Non-Reasoning): 33.2 (#88)

| Benchmark | DeepSeek-V3.2-Exp | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| LMArena Vision | — | 1263 |
| Blueprint-Bench 2 | — | 0% |
| LMArena Document | — | 1416 |

## Multilingual

- DeepSeek-V3.2-Exp: 52.4 (#85)
- Grok 4.20 (Non-Reasoning): 54.7 (#38)

| Benchmark | DeepSeek-V3.2-Exp | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| LMArena Non-English | 1409 | 1440 |
| LMArena Chinese | 1461 | 1481 |
| LMArena French | 1435 | 1477 |
| LMArena German | 1440 | 1463 |
| LMArena Japanese | 1377 | 1450 |
| LMArena Korean | 1372 | 1417 |
| LMArena Russian | 1423 | 1457 |
| LMArena Spanish | 1441 | 1442 |

## Instruction Following

- DeepSeek-V3.2-Exp: 74.7 (#89)
- Grok 4.20 (Non-Reasoning): 75.0 (#79)

| Benchmark | DeepSeek-V3.2-Exp | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| LMArena Instruction Following | 1413 | 1420 |

## Long Context

- DeepSeek-V3.2-Exp: 47.6 (#15)
- Grok 4.20 (Non-Reasoning): 45.4 (#33)

| Benchmark | DeepSeek-V3.2-Exp | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| CL-bench | 13.2% | 22.2% |
| CL-bench Life | 9.5% | 11.9% |
| LMArena Longer Query | 1428 | 1436 |
| Fiction.LiveBench | 83.3% | — |

## Writing & Preference

- DeepSeek-V3.2-Exp: 62.5 (#73)
- Grok 4.20 (Non-Reasoning): 65.9 (#42)

| Benchmark | DeepSeek-V3.2-Exp | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| LMArena Text | 1425 | 1451 |
| LMArena Creative Writing | 1403 | 1439 |
| EQ-Bench Creative Writing | 1515 | 1574 |
| LMArena Multi-Turn | 1427 | 1456 |

## FAQ

### Is DeepSeek-V3.2-Exp better than Grok 4.20 (Non-Reasoning)?

Grok 4.20 (Non-Reasoning) is the stronger model overall, scoring 48.5 to 44.9 on the Noometry Index. DeepSeek-V3.2-Exp costs 5.4× less per token, which makes it the better buy when Grok 4.20 (Non-Reasoning)'s lead doesn't matter for your workload.

### Which is cheaper, DeepSeek-V3.2-Exp or Grok 4.20 (Non-Reasoning)?

DeepSeek-V3.2-Exp is cheaper. It lists at $0.26 per million input tokens and $0.38 per million output tokens; Grok 4.20 (Non-Reasoning) lists at $1.25 and $2.50.

### Is DeepSeek-V3.2-Exp or Grok 4.20 (Non-Reasoning) better for coding?

DeepSeek-V3.2-Exp scores higher on coding benchmarks: 46.4 versus 41.8 in the Noometry coding category.

### Which has the bigger context window?

Grok 4.20 (Non-Reasoning) does, with 1M tokens against 164K.

### How many benchmarks do DeepSeek-V3.2-Exp and Grok 4.20 (Non-Reasoning) share?

36 benchmarks have published results for both models. DeepSeek-V3.2-Exp has 48 scored results on Noometry and Grok 4.20 (Non-Reasoning) has 46.