Model comparison

DeepSeek-V3 vs GPT-6 Astra

GPT-6 Astra is the stronger model overall, scoring 70.8 to 39.5 on the Noometry Index. DeepSeek-V3 costs 49× less per token, which makes it the better buy when GPT-6 Astra's lead doesn't matter for your workload.

Last verified October 10, 2026. 27 shared benchmarks.

DeepSeek-V3

DeepSeek

39.5

Rank #166 Confirmed

GPT-6 Astra OpenAI

70.8

Rank #1 Confirmed

Summary

They share 27 benchmarks with published results for both. DeepSeek-V3 scores higher in 0 categories and GPT-6 Astra in 8 categories; 8 gaps are clear of the uncertainty.
The widest gap is in reasoning, where GPT-6 Astra leads 85.1 to 20.5.
The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 37.8% for DeepSeek-V3 and 100% for GPT-6 Astra.
DeepSeek-V3 is cheaper at $0.24 / $0.90 per million input/output tokens, against $10 / $50 for GPT-6 Astra.
GPT-6 Astra accepts more context: 1.05M tokens versus 164K.
DeepSeek-V3 has downloadable open weights; the other is API-only.

Side by side

DeepSeek-V3 and GPT-6 Astra specifications
	DeepSeek-V3	GPT-6 Astra
Provider	DeepSeek	OpenAI
Noometry Index	39.5	70.8
Released	2024-12-26	2026-09-03
Weights	Open	Proprietary
Context window	164K	1.05M
Max output	164K	128K
Input $ / M tokens	$0.24	$10
Output $ / M tokens	$0.90	$50
Results tracked	60	56

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Category by category

Coding GPT-6 Astra leads

DeepSeek-V3: 42.3 (#106), GPT-6 Astra: 73.7 (#2)

Coding benchmarks
Benchmark	DeepSeek-V3	GPT-6 Astra
SciCode	35.8%	56.5%
WeirdML	36.1%	93.6%
LMArena Coding	1368	1487
DeepSWE	—	74.1%
FrontierCode	—	53.3%
Aider Polyglot	55.1%	—
LMArena WebDev	—	1786
FrontierSWE	—	65.5%
GSO	—	79.4%
BigCodeBench Instruct	50%	—
LiveBench Coding	70.9%	—
MirrorCode	—	46.7%
BigCodeBench Complete	62.2%	—
ALE-Bench	—	2,951
HumanEval+	86.6%	—
MBPP+	73%	—

Agentic & Tool Use Not comparable

DeepSeek-V3: —, GPT-6 Astra: 52.9 (#3)

Agentic & Tool Use benchmarks
Benchmark	DeepSeek-V3	GPT-6 Astra
APEX-Agents	—	64.7%
Remote Labor Index	—	20.8%
BALROG	—	68.3%
GDP.pdf	—	34.2%
METR Time Horizons	49.6%	—
Vending-Bench 2	—	15,515

Reasoning GPT-6 Astra leads

DeepSeek-V3: 20.5 (#236), GPT-6 Astra: 85.1 (#1)

Reasoning benchmarks
Benchmark	DeepSeek-V3	GPT-6 Astra
CritPt	0%	31.7%
LMArena Hard Prompts	1365	1462
DTBench	64.8%	97.3%
LMCA	15.5%	64.4%
Epoch Capabilities Index	135.94	166.45
ARC-AGI-2	—	95%
SimpleBench	27.2%	—
Kagi LLM Benchmark	52.3%	—
NYT Connections (extended)	—	98.1%
ARC-AGI-1	—	98.5%
Chess Puzzles	—	72%
EBR-Bench	—	76.2%
LiveBench Reasoning	65.8%	—
Mystery Game Puzzles	—	84%
LiveBench Data Analysis	60.9%	—
Bench to the Future 3	—	0.14
BIG-Bench Hard	87.5%	—
ForecastBench	59.1	—
HellaSwag	88.9%	—
LiveBench	66.9%	—
PIQA	84.7%	—
WinoGrande	85.2%	—

Math GPT-6 Astra leads

DeepSeek-V3: 32.1 (#219), GPT-6 Astra: 93.5 (#2)

Math benchmarks
Benchmark	DeepSeek-V3	GPT-6 Astra
OTIS Mock AIME 2024-2025	37.8%	100%
LMArena Math	1373	1465
FrontierMath (Tiers 1-3)	—	93.7%
FrontierMath Tier 4	—	97.6%
ProofBench	—	99%
Omni-MATH	40.3%	—
LiveBench Math	73.5%	—
MATH Level 5	75.5%	—
FrontierMath (Feb 2025 set)	1.7%	—
FrontierMath Erdős	—	2.9%

Knowledge GPT-6 Astra leads

DeepSeek-V3: 37.5 (#155), GPT-6 Astra: 75.3 (#1)

Knowledge benchmarks
Benchmark	DeepSeek-V3	GPT-6 Astra
GPQA Diamond	67.6%	95.8%
Vectara Hallucination Rate	6.1%	8.7%
LMArena Expert	1351	1483
Humanity's Last Exam	—	54.8%
SimpleQA Verified	—	75.6%
MMLU-Pro	72.3%	—
Confabulations	26.1%	—
GPQA (HELM)	53.8%	—
ARC (AI2) Challenge	95.3%	—
MMLU	87.2%	—
TriviaQA	82.9%	—

Multimodal Not comparable

DeepSeek-V3: —, GPT-6 Astra: 55.0 (#3)

Multimodal benchmarks
Benchmark	DeepSeek-V3	GPT-6 Astra
LMArena Vision	—	1281
Blueprint-Bench 2	—	49.7%
Furniture Assembly	—	80%
LMArena Document	—	1468

Multilingual GPT-6 Astra leads

DeepSeek-V3: 48.5 (#143), GPT-6 Astra: 53.7 (#61)

Multilingual benchmarks
Benchmark	DeepSeek-V3	GPT-6 Astra
LMArena Non-English	1358	1430
LMArena Chinese	1391	1484
LMArena French	1385	1456
LMArena German	1374	1440
LMArena Japanese	1333	1379
LMArena Korean	1319	1426
LMArena Russian	1373	1436
LMArena Spanish	1358	1407

Instruction Following GPT-6 Astra leads

DeepSeek-V3: 72.8 (#130), GPT-6 Astra: 76.3 (#44)

Instruction Following benchmarks
Benchmark	DeepSeek-V3	GPT-6 Astra
LMArena Instruction Following	1345	1450
LiveBench Instruction Following	81.5%	—
IFEval	83.2%	—

Long Context GPT-6 Astra leads

DeepSeek-V3: 34.0 (#253), GPT-6 Astra: 44.5 (#62)

Long Context benchmarks
Benchmark	DeepSeek-V3	GPT-6 Astra
LMArena Longer Query	1352	1456
Fiction.LiveBench	50%	—

Writing & Preference GPT-6 Astra leads

DeepSeek-V3: 57.4 (#130), GPT-6 Astra: 75.3 (#7)

Writing & Preference benchmarks
Benchmark	DeepSeek-V3	GPT-6 Astra
LMArena Text	1375	1441
LMArena Creative Writing	1364	1418
EQ-Bench Creative Writing	1472	2173
LMArena Multi-Turn	1389	1448
Short-Story Creative Writing	77%	—
WildBench	83%	—
LiveBench Language	49.1%	—

Frequently asked questions

Is DeepSeek-V3 better than GPT-6 Astra?

Which is cheaper, DeepSeek-V3 or GPT-6 Astra?

DeepSeek-V3 is cheaper. It lists at $0.24 per million input tokens and $0.90 per million output tokens; GPT-6 Astra lists at $10 and $50.

Is DeepSeek-V3 or GPT-6 Astra better for coding?

GPT-6 Astra scores higher on coding benchmarks: 73.7 versus 42.3 in the Noometry coding category.

Which has the bigger context window?

GPT-6 Astra does, with 1.05M tokens against 164K.

How many benchmarks do DeepSeek-V3 and GPT-6 Astra share?

27 benchmarks have published results for both models. DeepSeek-V3 has 60 scored results on Noometry and GPT-6 Astra has 56.