Model comparison

DeepSeek-V3.1 vs DeepSeek V4 Pro

DeepSeek V4 Pro is the stronger model overall, scoring 54.2 to 42.2 on the Noometry Index.

Last verified October 10, 2026. 25 shared benchmarks.

DeepSeek-V3.1

DeepSeek

42.2

Rank #106 Confirmed

DeepSeek V4 Pro

DeepSeek

54.2

Rank #28 Confirmed

Summary

They share 25 benchmarks with published results for both. DeepSeek-V3.1 scores higher in 0 categories and DeepSeek V4 Pro in 8 categories; 8 gaps are clear of the uncertainty.
The widest gap is in reasoning, where DeepSeek V4 Pro leads 56.4 to 27.3.
The biggest single-benchmark swing is WeirdML: 38.4% for DeepSeek-V3.1 and 66.2% for DeepSeek V4 Pro.
DeepSeek-V3.1 is cheaper at $0.25 / $0.95 per million input/output tokens, against $0.43 / $0.87 for DeepSeek V4 Pro.
DeepSeek V4 Pro accepts more context: 1M tokens versus 164K.

Side by side

DeepSeek-V3.1 and DeepSeek V4 Pro specifications
	DeepSeek-V3.1	DeepSeek V4 Pro
Provider	DeepSeek	DeepSeek
Noometry Index	42.2	54.2
Released	2025-08-21	2026-04-24
Weights	Open	Open
Context window	164K	1M
Max output	8K	393K
Input $ / M tokens	$0.25	$0.43
Output $ / M tokens	$0.95	$0.87
Results tracked	27	48

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Category by category

Coding DeepSeek V4 Pro leads

DeepSeek-V3.1: 39.8 (#140), DeepSeek V4 Pro: 52.2 (#31)

Coding benchmarks
Benchmark	DeepSeek-V3.1	DeepSeek V4 Pro
WeirdML	38.4%	66.2%
LMArena Coding	1417	1470
SWE-bench Verified	—	77.6%
FrontierCode	—	28.6%
LMArena WebDev	—	1582
SciCode	—	51%
ALE-Bench	—	1,403

Agentic & Tool Use Not comparable

DeepSeek-V3.1: —, DeepSeek V4 Pro: 32.7 (#54)

Agentic & Tool Use benchmarks
Benchmark	DeepSeek-V3.1	DeepSeek V4 Pro
APEX-Agents	—	47.3%
Vending-Bench 2	—	3,285

Reasoning DeepSeek V4 Pro leads

DeepSeek-V3.1: 27.3 (#109), DeepSeek V4 Pro: 56.4 (#22)

Reasoning benchmarks
Benchmark	DeepSeek-V3.1	DeepSeek V4 Pro
Kagi LLM Benchmark	53.2%	53.5%
LMArena Hard Prompts	1417	1461
DTBench	82.7%	93.9%
LMCA	24.3%	45.5%
Epoch Capabilities Index	139.92	155.39
ForecastBench	58	56.1
ARC-AGI-2	—	61.3%
SimpleBench	40%	—
NYT Connections (extended)	—	91.3%
ARC-AGI-1	—	90.5%
CritPt	—	18%
Chess Puzzles	—	47%
Mystery Game Puzzles	—	43%
Surface Evolver Bench	—	40%

Math DeepSeek V4 Pro leads

DeepSeek-V3.1: 36.1 (#125), DeepSeek V4 Pro: 64.6 (#24)

Math benchmarks
Benchmark	DeepSeek-V3.1	DeepSeek V4 Pro
LMArena Math	1420	1455
FrontierMath (Tiers 1-3)	—	64.6%
FrontierMath Tier 4	—	26.8%
MathArena Final-Answer Competitions	—	76.6%
OTIS Mock AIME 2024-2025	—	98.6%
ProofBench	—	50%

Knowledge DeepSeek V4 Pro leads

DeepSeek-V3.1: 43.0 (#86), DeepSeek V4 Pro: 59.5 (#28)

Knowledge benchmarks
Benchmark	DeepSeek-V3.1	DeepSeek V4 Pro
Vectara Hallucination Rate	5.5%	8.6%
LMArena Expert	1403	1463
GPQA Diamond	—	91.7%
SimpleQA Verified	—	52.9%

Multilingual DeepSeek V4 Pro leads

DeepSeek-V3.1: 51.8 (#100), DeepSeek V4 Pro: 54.5 (#44)

Multilingual benchmarks
Benchmark	DeepSeek-V3.1	DeepSeek V4 Pro
LMArena Non-English	1400	1438
LMArena Chinese	1470	1486
LMArena French	1447	1473
LMArena German	1412	1458
LMArena Japanese	1374	1448
LMArena Korean	1337	1452
LMArena Russian	1405	1452
LMArena Spanish	1429	1457

Instruction Following DeepSeek V4 Pro leads

DeepSeek-V3.1: 74.1 (#105), DeepSeek V4 Pro: 76.3 (#44)

Instruction Following benchmarks
Benchmark	DeepSeek-V3.1	DeepSeek V4 Pro
LMArena Instruction Following	1400	1448

Long Context DeepSeek V4 Pro leads

DeepSeek-V3.1: 36.3 (#227), DeepSeek V4 Pro: 45.0 (#49)

Long Context benchmarks
Benchmark	DeepSeek-V3.1	DeepSeek V4 Pro
LMArena Longer Query	1422	1459
Fiction.LiveBench	52.8%	—
CL-bench Life	—	13.5%

Writing & Preference DeepSeek V4 Pro leads

DeepSeek-V3.1: 60.5 (#93), DeepSeek V4 Pro: 65.6 (#45)

Writing & Preference benchmarks
Benchmark	DeepSeek-V3.1	DeepSeek V4 Pro
LMArena Text	1420	1451
LMArena Creative Writing	1401	1446
EQ-Bench Creative Writing	1436	1553
LMArena Multi-Turn	1408	1467
EQ-Bench 4	—	1166

Frequently asked questions

Is DeepSeek-V3.1 better than DeepSeek V4 Pro?

DeepSeek V4 Pro is the stronger model overall, scoring 54.2 to 42.2 on the Noometry Index.

Which is cheaper, DeepSeek-V3.1 or DeepSeek V4 Pro?

DeepSeek-V3.1 is cheaper. It lists at $0.25 per million input tokens and $0.95 per million output tokens; DeepSeek V4 Pro lists at $0.43 and $0.87.

Is DeepSeek-V3.1 or DeepSeek V4 Pro better for coding?

DeepSeek V4 Pro scores higher on coding benchmarks: 52.2 versus 39.8 in the Noometry coding category.

Which has the bigger context window?

DeepSeek V4 Pro does, with 1M tokens against 164K.

How many benchmarks do DeepSeek-V3.1 and DeepSeek V4 Pro share?

25 benchmarks have published results for both models. DeepSeek-V3.1 has 27 scored results on Noometry and DeepSeek V4 Pro has 48.