Model comparison

DeepSeek LLM 67B vs MiniMax-M3

MiniMax-M3 is the stronger model overall, scoring 43.8 to 24.9 on the Noometry Index.

Last verified . 14 shared benchmarks.

DeepSeek LLM 67B DeepSeek

24.9

Rank #347 Confirmed

MiniMax-M3 MiniMax

43.8

Rank #85 Confirmed

Summary

  • They share 14 benchmarks with published results for both. DeepSeek LLM 67B 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 7.0.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 0.8% for DeepSeek LLM 67B and 71.1% for MiniMax-M3.

Side by side

DeepSeek LLM 67B and MiniMax-M3 specifications
DeepSeek LLM 67BMiniMax-M3
ProviderDeepSeekMiniMax
Noometry Index24.943.8
Released2023-11-292026-06-01
WeightsOpenOpen
Context window—1M
Max output—512K
Input $ / M tokens—$0.30
Output $ / M tokens—$1.20
Results tracked1541

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Category by category

Coding MiniMax-M3 leads

DeepSeek LLM 67B: 31.9 (#278), MiniMax-M3: 41.8 (#118)

Coding benchmarks
BenchmarkDeepSeek LLM 67BMiniMax-M3
LMArena Coding10961469
FrontierCode—14.7%
LMArena WebDev—1482
SciCode—47.1%
ALE-Bench—640.02

Agentic & Tool Use Not comparable

DeepSeek LLM 67B: —, MiniMax-M3: 22.6 (#130)

Agentic & Tool Use benchmarks
BenchmarkDeepSeek LLM 67BMiniMax-M3
APEX-Agents—37.7%
OSWorld 2.0—4.6%
GBAEval—0.9%
Vending-Bench 2—2,158

Reasoning MiniMax-M3 leads

DeepSeek LLM 67B: 16.5 (#304), MiniMax-M3: 30.1 (#87)

Reasoning benchmarks
BenchmarkDeepSeek LLM 67BMiniMax-M3
Chess Puzzles0%14%
LMArena Hard Prompts10701447
Epoch Capabilities Index110.5146.95
SimpleBench—45.8%
NYT Connections (extended)—65.1%
CritPt—3.7%
Mystery Game Puzzles—8%
DTBench—78.9%
LMCA—33.7%
Surface Evolver Bench—55%
ForecastBench—61.4

Math MiniMax-M3 leads

DeepSeek LLM 67B: 8.7 (#324), MiniMax-M3: 40.0 (#95)

Math benchmarks
BenchmarkDeepSeek LLM 67BMiniMax-M3
OTIS Mock AIME 2024-20250.8%71.1%
LMArena Math11081429
ProofBench—18%
MATH Level 56.4%—

Knowledge MiniMax-M3 leads

DeepSeek LLM 67B: 7.0 (#313), MiniMax-M3: 58.4 (#35)

Knowledge benchmarks
BenchmarkDeepSeek LLM 67BMiniMax-M3
GPQA Diamond24.6%90.9%
LMArena Expert—1461

Multimodal Not comparable

DeepSeek LLM 67B: —, MiniMax-M3: 40.2 (#51)

Multimodal benchmarks
BenchmarkDeepSeek LLM 67BMiniMax-M3
LMArena Vision—1253
LMArena Document—1435

Multilingual MiniMax-M3 leads

DeepSeek LLM 67B: 29.4 (#267), MiniMax-M3: 53.0 (#75)

Multilingual benchmarks
BenchmarkDeepSeek LLM 67BMiniMax-M3
LMArena Non-English10731420
LMArena Chinese11321463
LMArena French—1447
LMArena German—1426
LMArena Japanese—1381
LMArena Korean—1372
LMArena Russian—1428
LMArena Spanish—1432

Instruction Following MiniMax-M3 leads

DeepSeek LLM 67B: 55.4 (#277), MiniMax-M3: 75.5 (#62)

Instruction Following benchmarks
BenchmarkDeepSeek LLM 67BMiniMax-M3
LMArena Instruction Following10791433

Long Context MiniMax-M3 leads

DeepSeek LLM 67B: 33.1 (#265), MiniMax-M3: 44.2 (#72)

Long Context benchmarks
BenchmarkDeepSeek LLM 67BMiniMax-M3
LMArena Longer Query10921445

Writing & Preference MiniMax-M3 leads

DeepSeek LLM 67B: 31.6 (#282), MiniMax-M3: 62.1 (#83)

Writing & Preference benchmarks
BenchmarkDeepSeek LLM 67BMiniMax-M3
LMArena Text11051433
LMArena Creative Writing10671404
LMArena Multi-Turn10821442
EQ-Bench 4—1150

Frequently asked questions

Is DeepSeek LLM 67B better than MiniMax-M3?

MiniMax-M3 is the stronger model overall, scoring 43.8 to 24.9 on the Noometry Index.

Is DeepSeek LLM 67B or MiniMax-M3 better for coding?

MiniMax-M3 scores higher on coding benchmarks: 41.8 versus 31.9 in the Noometry coding category.

How many benchmarks do DeepSeek LLM 67B and MiniMax-M3 share?

14 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and MiniMax-M3 has 41.

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