Model comparison

DeepSeek-V3.1 vs Grok Build 0.1

DeepSeek-V3.1 is the stronger model overall, scoring 42.8 to 36.4 on the Noometry Index.

Last verified October 10, 2026. 0 shared benchmarks.

DeepSeek-V3.1

DeepSeek

42.8

Rank #108 Confirmed

Grok Build 0.1 xAI

36.4

Rank #216 Reported

Summary

The widest gap is in reasoning, where Grok Build 0.1 leads 32.2 to 27.9.
DeepSeek-V3.1 is cheaper at $0.25 / $0.95 per million input/output tokens, against $1 / $2 for Grok Build 0.1.
Grok Build 0.1 accepts more context: 256K tokens versus 164K.
DeepSeek-V3.1 has downloadable open weights; the other is API-only.

Side by side

DeepSeek-V3.1 and Grok Build 0.1 specifications
	DeepSeek-V3.1	Grok Build 0.1
Provider	DeepSeek	xAI
Noometry Index	42.8	36.4
Released	2025-08-21	2026-04-16
Weights	Open	Proprietary
Context window	164K	256K
Max output	8K	256K
Input $ / M tokens	$0.25	$1
Output $ / M tokens	$0.95	$2
Results tracked	27	3

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Category by category

Coding Grok Build 0.1 leads

DeepSeek-V3.1: 40.3 (#144), Grok Build 0.1: 43.1 (#91)

Coding benchmarks
Benchmark	DeepSeek-V3.1	Grok Build 0.1
SciCode	—	50.2%
WeirdML	38.4%	—
LMArena Coding	1417	—

Agentic & Tool Use Not comparable

DeepSeek-V3.1: —, Grok Build 0.1: 22.7 (#129)

Agentic & Tool Use benchmarks
Benchmark	DeepSeek-V3.1	Grok Build 0.1
GBAEval	—	2.4%

Reasoning Grok Build 0.1 leads

DeepSeek-V3.1: 27.9 (#110), Grok Build 0.1: 32.2 (#77)

Reasoning benchmarks
Benchmark	DeepSeek-V3.1	Grok Build 0.1
SimpleBench	40%	—
Kagi LLM Benchmark	53.2%	—
CritPt	—	9.1%
LMArena Hard Prompts	1417	—
DTBench	82.7%	—
LMCA	24.3%	—
Epoch Capabilities Index	139.92	—
ForecastBench	58	—

Math Not comparable

DeepSeek-V3.1: 38.9 (#122), Grok Build 0.1: —

Math benchmarks
Benchmark	DeepSeek-V3.1	Grok Build 0.1
LMArena Math	1420	—

Knowledge Not comparable

DeepSeek-V3.1: 43.7 (#90), Grok Build 0.1: —

Knowledge benchmarks
Benchmark	DeepSeek-V3.1	Grok Build 0.1
Vectara Hallucination Rate	5.5%	—
LMArena Expert	1405	—

Multilingual Not comparable

DeepSeek-V3.1: 51.6 (#106), Grok Build 0.1: —

Multilingual benchmarks
Benchmark	DeepSeek-V3.1	Grok Build 0.1
LMArena Non-English	1400	—
LMArena Chinese	1469	—
LMArena French	1447	—
LMArena German	1411	—
LMArena Japanese	1378	—
LMArena Korean	1337	—
LMArena Russian	1405	—
LMArena Spanish	1431	—

Instruction Following Not comparable

DeepSeek-V3.1: 73.9 (#110), Grok Build 0.1: —

Instruction Following benchmarks
Benchmark	DeepSeek-V3.1	Grok Build 0.1
LMArena Instruction Following	1400	—

Long Context Not comparable

DeepSeek-V3.1: 36.3 (#232), Grok Build 0.1: —

Long Context benchmarks
Benchmark	DeepSeek-V3.1	Grok Build 0.1
Fiction.LiveBench	52.8%	—
LMArena Longer Query	1422	—

Writing & Preference Not comparable

DeepSeek-V3.1: 60.3 (#98), Grok Build 0.1: —

Writing & Preference benchmarks
Benchmark	DeepSeek-V3.1	Grok Build 0.1
LMArena Text	1420	—
LMArena Creative Writing	1401	—
EQ-Bench Creative Writing	1436	—
LMArena Multi-Turn	1408	—

Frequently asked questions

Is DeepSeek-V3.1 better than Grok Build 0.1?

DeepSeek-V3.1 is the stronger model overall, scoring 42.8 to 36.4 on the Noometry Index.

Which is cheaper, DeepSeek-V3.1 or Grok Build 0.1?

DeepSeek-V3.1 is cheaper. It lists at $0.25 per million input tokens and $0.95 per million output tokens; Grok Build 0.1 lists at $1 and $2.

Is DeepSeek-V3.1 or Grok Build 0.1 better for coding?

Grok Build 0.1 scores higher on coding benchmarks: 43.1 versus 40.3 in the Noometry coding category.

Which has the bigger context window?

Grok Build 0.1 does, with 256K tokens against 164K.

How many benchmarks do DeepSeek-V3.1 and Grok Build 0.1 share?

0 benchmarks have published results for both models. DeepSeek-V3.1 has 27 scored results on Noometry and Grok Build 0.1 has 3.