Model comparison

DeepSeek-V3.1 vs MiniMax-M3

DeepSeek-V3.1 and MiniMax-M3 score almost the same on the Noometry Index (42.8 vs 43.8), so choose on price, context window or the category you care about most.

Last verified October 10, 2026. 22 shared benchmarks.

DeepSeek-V3.1

DeepSeek

42.8

Rank #108 Confirmed

MiniMax-M3

MiniMax

43.8

Rank #85 Confirmed

Summary

They share 22 benchmarks with published results for both. DeepSeek-V3.1 scores higher in 0 categories and MiniMax-M3 in 8 categories; 8 gaps are clear of the uncertainty.
The widest gap is in knowledge, where MiniMax-M3 leads 58.4 to 43.7.
The biggest single-benchmark swing is LMCA: 24.3% for DeepSeek-V3.1 and 33.7% for MiniMax-M3.
DeepSeek-V3.1 is cheaper at $0.25 / $0.95 per million input/output tokens, against $0.30 / $1.20 for MiniMax-M3.
MiniMax-M3 accepts more context: 1M tokens versus 164K.

Side by side

DeepSeek-V3.1 and MiniMax-M3 specifications
	DeepSeek-V3.1	MiniMax-M3
Provider	DeepSeek	MiniMax
Noometry Index	42.8	43.8
Released	2025-08-21	2026-06-01
Weights	Open	Open
Context window	164K	1M
Max output	8K	512K
Input $ / M tokens	$0.25	$0.30
Output $ / M tokens	$0.95	$1.20
Results tracked	27	41

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Category by category

Coding MiniMax-M3 leads

DeepSeek-V3.1: 40.3 (#144), MiniMax-M3: 41.8 (#118)

Coding benchmarks
Benchmark	DeepSeek-V3.1	MiniMax-M3
LMArena Coding	1417	1469
FrontierCode	—	14.7%
LMArena WebDev	—	1482
SciCode	—	47.1%
WeirdML	38.4%	—
ALE-Bench	—	640.02

Agentic & Tool Use Not comparable

DeepSeek-V3.1: —, MiniMax-M3: 22.6 (#130)

Agentic & Tool Use benchmarks
Benchmark	DeepSeek-V3.1	MiniMax-M3
APEX-Agents	—	37.7%
OSWorld 2.0	—	4.6%
GBAEval	—	0.9%
Vending-Bench 2	—	2,158

Reasoning MiniMax-M3 leads

DeepSeek-V3.1: 27.9 (#110), MiniMax-M3: 30.1 (#87)

Reasoning benchmarks
Benchmark	DeepSeek-V3.1	MiniMax-M3
SimpleBench	40%	45.8%
LMArena Hard Prompts	1417	1447
DTBench	82.7%	78.9%
LMCA	24.3%	33.7%
Epoch Capabilities Index	139.92	146.95
ForecastBench	58	61.4
Kagi LLM Benchmark	53.2%	—
NYT Connections (extended)	—	65.1%
CritPt	—	3.7%
Chess Puzzles	—	14%
Mystery Game Puzzles	—	8%
Surface Evolver Bench	—	55%

Math MiniMax-M3 leads

DeepSeek-V3.1: 38.9 (#122), MiniMax-M3: 40.0 (#95)

Math benchmarks
Benchmark	DeepSeek-V3.1	MiniMax-M3
LMArena Math	1420	1429
OTIS Mock AIME 2024-2025	—	71.1%
ProofBench	—	18%

Knowledge MiniMax-M3 leads

DeepSeek-V3.1: 43.7 (#90), MiniMax-M3: 58.4 (#35)

Knowledge benchmarks
Benchmark	DeepSeek-V3.1	MiniMax-M3
LMArena Expert	1405	1461
GPQA Diamond	—	90.9%
Vectara Hallucination Rate	5.5%	—

Multimodal Not comparable

DeepSeek-V3.1: —, MiniMax-M3: 40.2 (#51)

Multimodal benchmarks
Benchmark	DeepSeek-V3.1	MiniMax-M3
LMArena Vision	—	1253
LMArena Document	—	1435

Multilingual MiniMax-M3 leads

DeepSeek-V3.1: 51.6 (#106), MiniMax-M3: 53.0 (#75)

Multilingual benchmarks
Benchmark	DeepSeek-V3.1	MiniMax-M3
LMArena Non-English	1400	1420
LMArena Chinese	1469	1463
LMArena French	1447	1447
LMArena German	1411	1426
LMArena Japanese	1378	1381
LMArena Korean	1337	1372
LMArena Russian	1405	1428
LMArena Spanish	1431	1432

Instruction Following MiniMax-M3 leads

DeepSeek-V3.1: 73.9 (#110), MiniMax-M3: 75.5 (#62)

Instruction Following benchmarks
Benchmark	DeepSeek-V3.1	MiniMax-M3
LMArena Instruction Following	1400	1433

Long Context MiniMax-M3 leads

DeepSeek-V3.1: 36.3 (#232), MiniMax-M3: 44.2 (#72)

Long Context benchmarks
Benchmark	DeepSeek-V3.1	MiniMax-M3
LMArena Longer Query	1422	1445
Fiction.LiveBench	52.8%	—

Writing & Preference MiniMax-M3 leads

DeepSeek-V3.1: 60.3 (#98), MiniMax-M3: 62.1 (#83)

Writing & Preference benchmarks
Benchmark	DeepSeek-V3.1	MiniMax-M3
LMArena Text	1420	1433
LMArena Creative Writing	1401	1404
LMArena Multi-Turn	1408	1442
EQ-Bench Creative Writing	1436	—
EQ-Bench 4	—	1150

Frequently asked questions

Is DeepSeek-V3.1 better than MiniMax-M3?

DeepSeek-V3.1 and MiniMax-M3 score almost the same on the Noometry Index (42.8 vs 43.8), so choose on price, context window or the category you care about most.

Which is cheaper, DeepSeek-V3.1 or MiniMax-M3?

DeepSeek-V3.1 is cheaper. It lists at $0.25 per million input tokens and $0.95 per million output tokens; MiniMax-M3 lists at $0.30 and $1.20.

Is DeepSeek-V3.1 or MiniMax-M3 better for coding?

MiniMax-M3 scores higher on coding benchmarks: 41.8 versus 40.3 in the Noometry coding category.

Which has the bigger context window?

MiniMax-M3 does, with 1M tokens against 164K.

How many benchmarks do DeepSeek-V3.1 and MiniMax-M3 share?

22 benchmarks have published results for both models. DeepSeek-V3.1 has 27 scored results on Noometry and MiniMax-M3 has 41.