Model comparison

DeepSeek-V3 vs MiniMax M1

DeepSeek-V3 and MiniMax M1 score almost the same on the Noometry Index (39.5 vs 40.3), so choose on price, context window or the category you care about most.

Last verified October 11, 2026. 18 shared benchmarks.

DeepSeek-V3

DeepSeek

39.5

Rank #166 Confirmed

MiniMax M1

MiniMax

40.3

Rank #150 Confirmed

Summary

They share 18 benchmarks with published results for both. DeepSeek-V3 scores higher in 5 categories and MiniMax M1 in 3 categories; 8 gaps are clear of the uncertainty.
The widest gap is in long context, where MiniMax M1 leads 41.4 to 34.0.
The biggest single-benchmark swing is Fiction.LiveBench: 50% for DeepSeek-V3 and 69.4% for MiniMax M1.
DeepSeek-V3 is cheaper at $0.24 / $0.90 per million input/output tokens, against $0.55 / $2.20 for MiniMax M1.
MiniMax M1 accepts more context: 1M tokens versus 164K.

Side by side

DeepSeek-V3 and MiniMax M1 specifications
	DeepSeek-V3	MiniMax M1
Provider	DeepSeek	MiniMax
Noometry Index	39.5	40.3
Released	2024-12-26	2025-06-13
Weights	Open	Open
Context window	164K	1M
Max output	164K	40K
Input $ / M tokens	$0.24	$0.55
Output $ / M tokens	$0.90	$2.20
Results tracked	60	18

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Category by category

Coding DeepSeek-V3 leads

DeepSeek-V3: 42.3 (#106), MiniMax M1: 39.9 (#153)

Coding benchmarks
Benchmark	DeepSeek-V3	MiniMax M1
LMArena Coding	1368	1359
Aider Polyglot	55.1%	—
SciCode	35.8%	—
WeirdML	36.1%	—
BigCodeBench Instruct	50%	—
LiveBench Coding	70.9%	—
BigCodeBench Complete	62.2%	—
HumanEval+	86.6%	—
MBPP+	73%	—

Agentic & Tool Use Not comparable

DeepSeek-V3: —, MiniMax M1: —

Agentic & Tool Use benchmarks
Benchmark	DeepSeek-V3	MiniMax M1
METR Time Horizons	49.6%	—

Reasoning MiniMax M1 leads

DeepSeek-V3: 20.5 (#236), MiniMax M1: 26.9 (#126)

Reasoning benchmarks
Benchmark	DeepSeek-V3	MiniMax M1
LMArena Hard Prompts	1365	1339
SimpleBench	27.2%	—
Kagi LLM Benchmark	52.3%	—
CritPt	0%	—
LiveBench Reasoning	65.8%	—
DTBench	64.8%	—
LiveBench Data Analysis	60.9%	—
LMCA	15.5%	—
BIG-Bench Hard	87.5%	—
Epoch Capabilities Index	135.94	—
ForecastBench	59.1	—
HellaSwag	88.9%	—
LiveBench	66.9%	—
PIQA	84.7%	—
WinoGrande	85.2%	—

Math MiniMax M1 leads

DeepSeek-V3: 32.1 (#219), MiniMax M1: 37.5 (#151)

Math benchmarks
Benchmark	DeepSeek-V3	MiniMax M1
LMArena Math	1373	1361
OTIS Mock AIME 2024-2025	37.8%	—
Omni-MATH	40.3%	—
LiveBench Math	73.5%	—
MATH Level 5	75.5%	—
FrontierMath (Feb 2025 set)	1.7%	—

Knowledge DeepSeek-V3 leads

DeepSeek-V3: 37.5 (#155), MiniMax M1: 36.4 (#170)

Knowledge benchmarks
Benchmark	DeepSeek-V3	MiniMax M1
LMArena Expert	1351	1317
GPQA Diamond	67.6%	—
MMLU-Pro	72.3%	—
Confabulations	26.1%	—
Vectara Hallucination Rate	6.1%	—
GPQA (HELM)	53.8%	—
ARC (AI2) Challenge	95.3%	—
MMLU	87.2%	—
TriviaQA	82.9%	—

Multilingual DeepSeek-V3 leads

DeepSeek-V3: 48.5 (#143), MiniMax M1: 45.8 (#163)

Multilingual benchmarks
Benchmark	DeepSeek-V3	MiniMax M1
LMArena Non-English	1358	1319
LMArena Chinese	1391	1360
LMArena French	1385	1370
LMArena German	1374	1350
LMArena Japanese	1333	1217
LMArena Korean	1319	1266
LMArena Russian	1373	1329
LMArena Spanish	1358	1353

Instruction Following DeepSeek-V3 leads

DeepSeek-V3: 72.8 (#130), MiniMax M1: 69.3 (#174)

Instruction Following benchmarks
Benchmark	DeepSeek-V3	MiniMax M1
LMArena Instruction Following	1345	1312
LiveBench Instruction Following	81.5%	—
IFEval	83.2%	—

Long Context MiniMax M1 leads

DeepSeek-V3: 34.0 (#253), MiniMax M1: 41.4 (#141)

Long Context benchmarks
Benchmark	DeepSeek-V3	MiniMax M1
Fiction.LiveBench	50%	69.4%
LMArena Longer Query	1352	1326

Writing & Preference DeepSeek-V3 leads

DeepSeek-V3: 57.4 (#130), MiniMax M1: 53.1 (#161)

Writing & Preference benchmarks
Benchmark	DeepSeek-V3	MiniMax M1
LMArena Text	1375	1343
LMArena Creative Writing	1364	1298
LMArena Multi-Turn	1389	1335
Short-Story Creative Writing	77%	—
EQ-Bench Creative Writing	1472	—
WildBench	83%	—
LiveBench Language	49.1%	—

Frequently asked questions

Is DeepSeek-V3 better than MiniMax M1?

DeepSeek-V3 and MiniMax M1 score almost the same on the Noometry Index (39.5 vs 40.3), so choose on price, context window or the category you care about most.

Which is cheaper, DeepSeek-V3 or MiniMax M1?

DeepSeek-V3 is cheaper. It lists at $0.24 per million input tokens and $0.90 per million output tokens; MiniMax M1 lists at $0.55 and $2.20.

Is DeepSeek-V3 or MiniMax M1 better for coding?

DeepSeek-V3 scores higher on coding benchmarks: 42.3 versus 39.9 in the Noometry coding category.

Which has the bigger context window?

MiniMax M1 does, with 1M tokens against 164K.

How many benchmarks do DeepSeek-V3 and MiniMax M1 share?

18 benchmarks have published results for both models. DeepSeek-V3 has 60 scored results on Noometry and MiniMax M1 has 18.