Model comparison

DeepSeek-V3.1 vs Grok 4.6

Grok 4.6 is the stronger model overall, scoring 56.8 to 42.2 on the Noometry Index. DeepSeek-V3.1 costs 7.1× less per token, which makes it the better buy when Grok 4.6's lead doesn't matter for your workload.

Last verified October 10, 2026. 22 shared benchmarks.

DeepSeek-V3.1

DeepSeek

42.2

Rank #106 Confirmed

Grok 4.6 xAI

56.8

Rank #19 Confirmed

Summary

They share 22 benchmarks with published results for both. DeepSeek-V3.1 scores higher in 0 categories and Grok 4.6 in 8 categories; 8 gaps are clear of the uncertainty.
The widest gap is in reasoning, where Grok 4.6 leads 61.3 to 27.3.
The biggest single-benchmark swing is SimpleBench: 40% for DeepSeek-V3.1 and 75.9% for Grok 4.6.
DeepSeek-V3.1 is cheaper at $0.25 / $0.95 per million input/output tokens, against $2 / $6 for Grok 4.6.
Grok 4.6 accepts more context: 500K tokens versus 164K.
DeepSeek-V3.1 has downloadable open weights; the other is API-only.

Side by side

DeepSeek-V3.1 and Grok 4.6 specifications
	DeepSeek-V3.1	Grok 4.6
Provider	DeepSeek	xAI
Noometry Index	42.2	56.8
Released	2025-08-21	2026-08-12
Weights	Open	Proprietary
Context window	164K	500K
Max output	8K	500K
Input $ / M tokens	$0.25	$2
Output $ / M tokens	$0.95	$6
Results tracked	27	49

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Category by category

Coding Grok 4.6 leads

DeepSeek-V3.1: 39.8 (#140), Grok 4.6: 58.0 (#14)

Coding benchmarks
Benchmark	DeepSeek-V3.1	Grok 4.6
WeirdML	38.4%	67.3%
LMArena Coding	1417	1464
DeepSWE	—	67.5%
FrontierCode	—	48%
CursorBench	—	41.4%
LMArena WebDev	—	1620
FrontierSWE	—	25.3%
SciCode	—	56.5%
ALE-Bench	—	1,508

Agentic & Tool Use Not comparable

DeepSeek-V3.1: —, Grok 4.6: 39.4 (#25)

Agentic & Tool Use benchmarks
Benchmark	DeepSeek-V3.1	Grok 4.6
APEX-Agents	—	65.3%
GDP.pdf	—	17.2%
Vending-Bench 2	—	9,047

Reasoning Grok 4.6 leads

DeepSeek-V3.1: 27.3 (#109), Grok 4.6: 61.3 (#18)

Reasoning benchmarks
Benchmark	DeepSeek-V3.1	Grok 4.6
SimpleBench	40%	75.9%
LMArena Hard Prompts	1417	1445
DTBench	82.7%	97.3%
LMCA	24.3%	48.5%
Epoch Capabilities Index	139.92	156.48
ARC-AGI-2	—	67.1%
Kagi LLM Benchmark	53.2%	—
NYT Connections (extended)	—	80%
ARC-AGI-1	—	87.5%
CritPt	—	19.7%
Chess Puzzles	—	40%
EBR-Bench	—	30.5%
Mystery Game Puzzles	—	34%
ForecastBench	58	—

Math Grok 4.6 leads

DeepSeek-V3.1: 36.1 (#125), Grok 4.6: 66.8 (#19)

Math benchmarks
Benchmark	DeepSeek-V3.1	Grok 4.6
LMArena Math	1420	1416
FrontierMath (Tiers 1-3)	—	66%
FrontierMath Tier 4	—	31.7%
OTIS Mock AIME 2024-2025	—	99.2%
ProofBench	—	51%

Knowledge Grok 4.6 leads

DeepSeek-V3.1: 43.0 (#86), Grok 4.6: 63.3 (#18)

Knowledge benchmarks
Benchmark	DeepSeek-V3.1	Grok 4.6
LMArena Expert	1403	1463
GPQA Diamond	—	94%
SimpleQA Verified	—	49.3%
Vectara Hallucination Rate	5.5%	—

Multimodal Not comparable

DeepSeek-V3.1: —, Grok 4.6: 43.9 (#18)

Multimodal benchmarks
Benchmark	DeepSeek-V3.1	Grok 4.6
LMArena Vision	—	1265
Blueprint-Bench 2	—	33.2%
Furniture Assembly	—	40%
LMArena Document	—	1452

Multilingual Grok 4.6 leads

DeepSeek-V3.1: 51.8 (#100), Grok 4.6: 53.3 (#67)

Multilingual benchmarks
Benchmark	DeepSeek-V3.1	Grok 4.6
LMArena Non-English	1400	1422
LMArena Chinese	1470	1479
LMArena French	1447	1458
LMArena German	1412	1425
LMArena Japanese	1374	1383
LMArena Korean	1337	1395
LMArena Russian	1405	1427
LMArena Spanish	1429	1408

Instruction Following Grok 4.6 leads

DeepSeek-V3.1: 74.1 (#105), Grok 4.6: 75.6 (#59)

Instruction Following benchmarks
Benchmark	DeepSeek-V3.1	Grok 4.6
LMArena Instruction Following	1400	1431

Long Context Grok 4.6 leads

DeepSeek-V3.1: 36.3 (#227), Grok 4.6: 44.4 (#62)

Long Context benchmarks
Benchmark	DeepSeek-V3.1	Grok 4.6
LMArena Longer Query	1422	1453
Fiction.LiveBench	52.8%	—

Writing & Preference Grok 4.6 leads

DeepSeek-V3.1: 60.5 (#93), Grok 4.6: 62.5 (#77)

Writing & Preference benchmarks
Benchmark	DeepSeek-V3.1	Grok 4.6
LMArena Text	1420	1427
LMArena Creative Writing	1401	1430
LMArena Multi-Turn	1408	1422
EQ-Bench Creative Writing	1436	—

Frequently asked questions

Is DeepSeek-V3.1 better than Grok 4.6?

Which is cheaper, DeepSeek-V3.1 or Grok 4.6?

DeepSeek-V3.1 is cheaper. It lists at $0.25 per million input tokens and $0.95 per million output tokens; Grok 4.6 lists at $2 and $6.

Is DeepSeek-V3.1 or Grok 4.6 better for coding?

Grok 4.6 scores higher on coding benchmarks: 58.0 versus 39.8 in the Noometry coding category.

Which has the bigger context window?

Grok 4.6 does, with 500K tokens against 164K.

How many benchmarks do DeepSeek-V3.1 and Grok 4.6 share?

22 benchmarks have published results for both models. DeepSeek-V3.1 has 27 scored results on Noometry and Grok 4.6 has 49.