Model comparison

DeepSeek-V3.1 vs GPT-6.1 Sol

GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 42.8 on the Noometry Index. DeepSeek-V3.1 costs 9.4× less per token, which makes it the better buy when GPT-6.1 Sol's lead doesn't matter for your workload.

Last verified October 10, 2026. 13 shared benchmarks.

DeepSeek-V3.1

DeepSeek

42.8

Rank #108 Confirmed

GPT-6.1 Sol OpenAI

65.6

Rank #6 Confirmed

Summary

They share 13 benchmarks with published results for both. DeepSeek-V3.1 scores higher in 0 categories and GPT-6.1 Sol in 8 categories; 8 gaps are clear of the uncertainty.
The widest gap is in math, where GPT-6.1 Sol leads 93.7 to 38.9.
DeepSeek-V3.1 is cheaper at $0.25 / $0.95 per million input/output tokens, against $2 / $10 for GPT-6.1 Sol.
GPT-6.1 Sol accepts more context: 1.05M tokens versus 164K.
DeepSeek-V3.1 has downloadable open weights; the other is API-only.

Side by side

DeepSeek-V3.1 and GPT-6.1 Sol specifications
	DeepSeek-V3.1	GPT-6.1 Sol
Provider	DeepSeek	OpenAI
Noometry Index	42.8	65.6
Released	2025-08-21	2026-09-29
Weights	Open	Proprietary
Context window	164K	1.05M
Max output	8K	128K
Input $ / M tokens	$0.25	$2
Output $ / M tokens	$0.95	$10
Results tracked	27	34

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding GPT-6.1 Sol leads

DeepSeek-V3.1: 40.3 (#144), GPT-6.1 Sol: 63.2 (#8)

Coding benchmarks
Benchmark	DeepSeek-V3.1	GPT-6.1 Sol
LMArena Coding	1417	1487
DeepSWE	—	75.2%
FrontierCode	—	50.2%
LMArena WebDev	—	1755
SciCode	—	55.8%
WeirdML	38.4%	—

Agentic & Tool Use Not comparable

DeepSeek-V3.1: —, GPT-6.1 Sol: 39.6 (#26)

Agentic & Tool Use benchmarks
Benchmark	DeepSeek-V3.1	GPT-6.1 Sol
APEX-Agents	—	60%
GDP.pdf	—	32%

Reasoning GPT-6.1 Sol leads

DeepSeek-V3.1: 27.9 (#110), GPT-6.1 Sol: 81.9 (#2)

Reasoning benchmarks
Benchmark	DeepSeek-V3.1	GPT-6.1 Sol
LMArena Hard Prompts	1417	1466
Epoch Capabilities Index	139.92	166.09
ARC-AGI-2	—	94.2%
SimpleBench	40%	—
Kagi LLM Benchmark	53.2%	—
NYT Connections (extended)	—	95.5%
ARC-AGI-1	—	98.5%
CritPt	—	31.7%
Chess Puzzles	—	61%
EBR-Bench	—	54.3%
Mystery Game Puzzles	—	80%
DTBench	82.7%	—
LMCA	24.3%	—
ForecastBench	58	—

Math GPT-6.1 Sol leads

DeepSeek-V3.1: 38.9 (#122), GPT-6.1 Sol: 93.7 (#1)

Math benchmarks
Benchmark	DeepSeek-V3.1	GPT-6.1 Sol
LMArena Math	1420	1464
FrontierMath (Tiers 1-3)	—	93.7%
FrontierMath Tier 4	—	100%
OTIS Mock AIME 2024-2025	—	100%
ProofBench	—	99%

Knowledge GPT-6.1 Sol leads

DeepSeek-V3.1: 43.7 (#90), GPT-6.1 Sol: 71.8 (#4)

Knowledge benchmarks
Benchmark	DeepSeek-V3.1	GPT-6.1 Sol
LMArena Expert	1405	1502
GPQA Diamond	—	95.4%
SimpleQA Verified	—	73.9%
Vectara Hallucination Rate	5.5%	—

Multimodal Not comparable

DeepSeek-V3.1: —, GPT-6.1 Sol: 52.7 (#5)

Multimodal benchmarks
Benchmark	DeepSeek-V3.1	GPT-6.1 Sol
LMArena Vision	—	1288
Furniture Assembly	—	80%

Multilingual GPT-6.1 Sol leads

DeepSeek-V3.1: 51.6 (#106), GPT-6.1 Sol: 54.3 (#46)

Multilingual benchmarks
Benchmark	DeepSeek-V3.1	GPT-6.1 Sol
LMArena Non-English	1400	1438
LMArena Chinese	1469	1477
LMArena Russian	1405	1455
LMArena French	1447	—
LMArena German	1411	—
LMArena Japanese	1378	—
LMArena Korean	1337	—
LMArena Spanish	1431	—

Instruction Following GPT-6.1 Sol leads

DeepSeek-V3.1: 73.9 (#110), GPT-6.1 Sol: 77.0 (#29)

Instruction Following benchmarks
Benchmark	DeepSeek-V3.1	GPT-6.1 Sol
LMArena Instruction Following	1400	1468

Long Context GPT-6.1 Sol leads

DeepSeek-V3.1: 36.3 (#232), GPT-6.1 Sol: 44.9 (#54)

Long Context benchmarks
Benchmark	DeepSeek-V3.1	GPT-6.1 Sol
LMArena Longer Query	1422	1465
Fiction.LiveBench	52.8%	—

Writing & Preference GPT-6.1 Sol leads

DeepSeek-V3.1: 60.3 (#98), GPT-6.1 Sol: 63.6 (#63)

Writing & Preference benchmarks
Benchmark	DeepSeek-V3.1	GPT-6.1 Sol
LMArena Text	1420	1447
LMArena Creative Writing	1401	1432
LMArena Multi-Turn	1408	1449
EQ-Bench Creative Writing	1436	—

Frequently asked questions

Is DeepSeek-V3.1 better than GPT-6.1 Sol?

Which is cheaper, DeepSeek-V3.1 or GPT-6.1 Sol?

DeepSeek-V3.1 is cheaper. It lists at $0.25 per million input tokens and $0.95 per million output tokens; GPT-6.1 Sol lists at $2 and $10.

Is DeepSeek-V3.1 or GPT-6.1 Sol better for coding?

GPT-6.1 Sol scores higher on coding benchmarks: 63.2 versus 40.3 in the Noometry coding category.

Which has the bigger context window?

GPT-6.1 Sol does, with 1.05M tokens against 164K.

How many benchmarks do DeepSeek-V3.1 and GPT-6.1 Sol share?

13 benchmarks have published results for both models. DeepSeek-V3.1 has 27 scored results on Noometry and GPT-6.1 Sol has 34.