Model comparison

DeepSeek-V3.1 vs Grok 4.20 Multi-Agent

Grok 4.20 Multi-Agent is the stronger model overall, scoring 45.5 to 42.2 on the Noometry Index. DeepSeek-V3.1 costs 3.7× less per token, which makes it the better buy when Grok 4.20 Multi-Agent's lead doesn't matter for your workload.

Last verified October 10, 2026. 17 shared benchmarks.

DeepSeek-V3.1

DeepSeek

42.2

Rank #106 Confirmed

Grok 4.20 Multi-Agent xAI

45.5

Rank #62 Confirmed

Summary

They share 17 benchmarks with published results for both. DeepSeek-V3.1 scores higher in 1 category and Grok 4.20 Multi-Agent in 7 categories; 6 gaps are clear of the uncertainty.
The widest gap is in reasoning, where Grok 4.20 Multi-Agent leads 42.4 to 27.3.
DeepSeek-V3.1 is cheaper at $0.25 / $0.95 per million input/output tokens, against $1.25 / $2.50 for Grok 4.20 Multi-Agent.
Grok 4.20 Multi-Agent accepts more context: 1M tokens versus 164K.
DeepSeek-V3.1 has downloadable open weights; the other is API-only.

Side by side

DeepSeek-V3.1 and Grok 4.20 Multi-Agent specifications
	DeepSeek-V3.1	Grok 4.20 Multi-Agent
Provider	DeepSeek	xAI
Noometry Index	42.2	45.5
Released	2025-08-21	2026-03-09
Weights	Open	Proprietary
Context window	164K	1M
Max output	8K	30K
Input $ / M tokens	$0.25	$1.25
Output $ / M tokens	$0.95	$2.50
Results tracked	27	20

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Category by category

Coding Grok 4.20 Multi-Agent leads

DeepSeek-V3.1: 39.8 (#140), Grok 4.20 Multi-Agent: 42.4 (#91)

Coding benchmarks
Benchmark	DeepSeek-V3.1	Grok 4.20 Multi-Agent
LMArena Coding	1417	1458
WeirdML	38.4%	—

Agentic & Tool Use Not comparable

DeepSeek-V3.1: —, Grok 4.20 Multi-Agent: —

Agentic & Tool Use benchmarks
Benchmark	DeepSeek-V3.1	Grok 4.20 Multi-Agent
LMArena Search	—	1204

Reasoning Grok 4.20 Multi-Agent leads

DeepSeek-V3.1: 27.3 (#109), Grok 4.20 Multi-Agent: 42.4 (#44)

Reasoning benchmarks
Benchmark	DeepSeek-V3.1	Grok 4.20 Multi-Agent
LMArena Hard Prompts	1417	1448
SimpleBench	40%	—
Kagi LLM Benchmark	53.2%	—
NYT Connections (extended)	—	89.6%
DTBench	82.7%	—
LMCA	24.3%	—
Epoch Capabilities Index	139.92	—
ForecastBench	58	—

Math Too close to call

DeepSeek-V3.1: 36.1 (#125), Grok 4.20 Multi-Agent: 36.6 (#106)

Math benchmarks
Benchmark	DeepSeek-V3.1	Grok 4.20 Multi-Agent
LMArena Math	1420	1441

Knowledge DeepSeek-V3.1 leads

DeepSeek-V3.1: 43.0 (#86), Grok 4.20 Multi-Agent: 39.7 (#116)

Knowledge benchmarks
Benchmark	DeepSeek-V3.1	Grok 4.20 Multi-Agent
LMArena Expert	1403	1445
Vectara Hallucination Rate	5.5%	—

Multimodal Not comparable

DeepSeek-V3.1: —, Grok 4.20 Multi-Agent: 39.8 (#44)

Multimodal benchmarks
Benchmark	DeepSeek-V3.1	Grok 4.20 Multi-Agent
LMArena Vision	—	1259

Multilingual Grok 4.20 Multi-Agent leads

DeepSeek-V3.1: 51.8 (#100), Grok 4.20 Multi-Agent: 54.6 (#40)

Multilingual benchmarks
Benchmark	DeepSeek-V3.1	Grok 4.20 Multi-Agent
LMArena Non-English	1400	1440
LMArena Chinese	1470	1475
LMArena French	1447	1467
LMArena German	1412	1456
LMArena Japanese	1374	1405
LMArena Korean	1337	1416
LMArena Russian	1405	1457
LMArena Spanish	1429	1447

Instruction Following Too close to call

DeepSeek-V3.1: 74.1 (#105), Grok 4.20 Multi-Agent: 75.0 (#80)

Instruction Following benchmarks
Benchmark	DeepSeek-V3.1	Grok 4.20 Multi-Agent
LMArena Instruction Following	1400	1420

Long Context Grok 4.20 Multi-Agent leads

DeepSeek-V3.1: 36.3 (#227), Grok 4.20 Multi-Agent: 43.7 (#84)

Long Context benchmarks
Benchmark	DeepSeek-V3.1	Grok 4.20 Multi-Agent
LMArena Longer Query	1422	1430
Fiction.LiveBench	52.8%	—

Writing & Preference Grok 4.20 Multi-Agent leads

DeepSeek-V3.1: 60.5 (#93), Grok 4.20 Multi-Agent: 64.1 (#57)

Writing & Preference benchmarks
Benchmark	DeepSeek-V3.1	Grok 4.20 Multi-Agent
LMArena Text	1420	1450
LMArena Creative Writing	1401	1435
LMArena Multi-Turn	1408	1451
EQ-Bench Creative Writing	1436	—

Frequently asked questions

Is DeepSeek-V3.1 better than Grok 4.20 Multi-Agent?

Which is cheaper, DeepSeek-V3.1 or Grok 4.20 Multi-Agent?

DeepSeek-V3.1 is cheaper. It lists at $0.25 per million input tokens and $0.95 per million output tokens; Grok 4.20 Multi-Agent lists at $1.25 and $2.50.

Is DeepSeek-V3.1 or Grok 4.20 Multi-Agent better for coding?

Grok 4.20 Multi-Agent scores higher on coding benchmarks: 42.4 versus 39.8 in the Noometry coding category.

Which has the bigger context window?

Grok 4.20 Multi-Agent does, with 1M tokens against 164K.

How many benchmarks do DeepSeek-V3.1 and Grok 4.20 Multi-Agent share?

17 benchmarks have published results for both models. DeepSeek-V3.1 has 27 scored results on Noometry and Grok 4.20 Multi-Agent has 20.