Model comparison

DeepSeek-V3.1-Terminus vs o1-mini

DeepSeek-V3.1-Terminus is the stronger model overall, scoring 42.6 to 33.7 on the Noometry Index.

Last verified . 10 shared benchmarks.

DeepSeek-V3.1-Terminus DeepSeek

42.6

Rank #96 Confirmed

o1-mini OpenAI

33.7

Rank #230 Confirmed

Summary

  • They share 10 benchmarks with published results for both. DeepSeek-V3.1-Terminus scores higher in 7 categories and o1-mini in 0 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where DeepSeek-V3.1-Terminus leads 25.7 to 8.9.
  • DeepSeek-V3.1-Terminus has downloadable open weights; the other is API-only.

Side by side

DeepSeek-V3.1-Terminus and o1-mini specifications
DeepSeek-V3.1-Terminuso1-mini
ProviderDeepSeekOpenAI
Noometry Index42.633.7
Released2025-09-222024-09-12
WeightsOpenProprietary
Context window164K—
Max output66K—
Input $ / M tokens$0.30—
Output $ / M tokens$1—
Results tracked1639

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Category by category

Coding DeepSeek-V3.1-Terminus leads

DeepSeek-V3.1-Terminus: 41.5 (#114), o1-mini: 35.1 (#218)

Coding benchmarks
BenchmarkDeepSeek-V3.1-Terminuso1-mini
LMArena Coding14261362
Aider Polyglot—32.9%
SciCode40.6%—
WeirdML—36.3%
LiveBench Coding—48%
ALE-Bench745.17—
HumanEval+—89%
MBPP+—78.8%

Agentic & Tool Use Not comparable

DeepSeek-V3.1-Terminus: —, o1-mini: 24.3 (#112)

Agentic & Tool Use benchmarks
BenchmarkDeepSeek-V3.1-Terminuso1-mini
Cybench—10%

Reasoning DeepSeek-V3.1-Terminus leads

DeepSeek-V3.1-Terminus: 25.7 (#126), o1-mini: 8.9 (#340)

Reasoning benchmarks
BenchmarkDeepSeek-V3.1-Terminuso1-mini
LMArena Hard Prompts14271333
ARC-AGI-2—0.8%
SimpleBench—18.1%
Kagi LLM Benchmark57.4%—
ARC-AGI-1—14%
CritPt1.7%—
LiveBench Reasoning—72.3%
DTBench81.3%—
LiveBench Data Analysis—57.9%
LMCA28.6%—
Epoch Capabilities Index—135.82
LiveBench—57.8%

Math DeepSeek-V3.1-Terminus leads

DeepSeek-V3.1-Terminus: 35.7 (#138), o1-mini: 33.7 (#168)

Math benchmarks
BenchmarkDeepSeek-V3.1-Terminuso1-mini
LMArena Math14021358
OTIS Mock AIME 2024-2025—46.9%
LiveBench Math—62%
MATH Level 5—89.2%
FrontierMath (Feb 2025 set)—1.7%

Knowledge Not comparable

DeepSeek-V3.1-Terminus: —, o1-mini: 34.8 (#180)

Knowledge benchmarks
BenchmarkDeepSeek-V3.1-Terminuso1-mini
GPQA Diamond—62.4%
Confabulations—18.6%
LMArena Expert—1316

Multilingual DeepSeek-V3.1-Terminus leads

DeepSeek-V3.1-Terminus: 52.3 (#87), o1-mini: 43.8 (#177)

Multilingual benchmarks
BenchmarkDeepSeek-V3.1-Terminuso1-mini
LMArena Non-English14071289
LMArena Russian14341283
LMArena Chinese—1314
LMArena French—1292
LMArena German—1278
LMArena Japanese—1245
LMArena Korean—1223
LMArena Spanish—1302

Instruction Following DeepSeek-V3.1-Terminus leads

DeepSeek-V3.1-Terminus: 74.4 (#96), o1-mini: 67.0 (#200)

Instruction Following benchmarks
BenchmarkDeepSeek-V3.1-Terminuso1-mini
LMArena Instruction Following14061304
LiveBench Instruction Following—65.4%

Long Context DeepSeek-V3.1-Terminus leads

DeepSeek-V3.1-Terminus: 43.5 (#88), o1-mini: 40.1 (#156)

Long Context benchmarks
BenchmarkDeepSeek-V3.1-Terminuso1-mini
LMArena Longer Query14261321

Writing & Preference DeepSeek-V3.1-Terminus leads

DeepSeek-V3.1-Terminus: 61.3 (#87), o1-mini: 48.6 (#196)

Writing & Preference benchmarks
BenchmarkDeepSeek-V3.1-Terminuso1-mini
LMArena Text14201317
LMArena Creative Writing14041244
LMArena Multi-Turn14111314
Short-Story Creative Writing—64.9%
LiveBench Language—40.9%

Frequently asked questions

Is DeepSeek-V3.1-Terminus better than o1-mini?

DeepSeek-V3.1-Terminus is the stronger model overall, scoring 42.6 to 33.7 on the Noometry Index.

Is DeepSeek-V3.1-Terminus or o1-mini better for coding?

DeepSeek-V3.1-Terminus scores higher on coding benchmarks: 41.5 versus 35.1 in the Noometry coding category.

How many benchmarks do DeepSeek-V3.1-Terminus and o1-mini share?

10 benchmarks have published results for both models. DeepSeek-V3.1-Terminus has 16 scored results on Noometry and o1-mini has 39.

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