Model comparison

DeepSeek-V3.1-Terminus vs Grok 3

DeepSeek-V3.1-Terminus is the stronger model overall, scoring 43.1 to 39.9 on the Noometry Index.

Last verified . 11 shared benchmarks.

DeepSeek-V3.1-Terminus DeepSeek

43.1

Rank #97 Confirmed

Grok 3 xAI

39.9

Rank #157 Confirmed

Summary

  • They share 11 benchmarks with published results for both. DeepSeek-V3.1-Terminus scores higher in 5 categories and Grok 3 in 2 categories; 4 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where DeepSeek-V3.1-Terminus leads 26.4 to 13.7.
  • DeepSeek-V3.1-Terminus has downloadable open weights; the other is API-only.

Side by side

DeepSeek-V3.1-Terminus and Grok 3 specifications
DeepSeek-V3.1-TerminusGrok 3
ProviderDeepSeekxAI
Noometry Index43.139.9
Released2025-09-222025-04-09
WeightsOpenProprietary
Context window164K—
Max output147K—
Input $ / M tokens$0.27—
Output $ / M tokens$1—
Results tracked1640

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Category by category

Coding Too close to call

DeepSeek-V3.1-Terminus: 42.0 (#113), Grok 3: 41.9 (#115)

Coding benchmarks
BenchmarkDeepSeek-V3.1-TerminusGrok 3
LMArena Coding14261432
Aider Polyglot—53.3%
SciCode40.6%—
WeirdML—37.2%
ALE-Bench745.17—

Agentic & Tool Use Not comparable

DeepSeek-V3.1-Terminus: —, Grok 3: 30.5 (#76)

Agentic & Tool Use benchmarks
BenchmarkDeepSeek-V3.1-TerminusGrok 3
BALROG—29.5%

Reasoning DeepSeek-V3.1-Terminus leads

DeepSeek-V3.1-Terminus: 26.4 (#133), Grok 3: 13.7 (#333)

Reasoning benchmarks
BenchmarkDeepSeek-V3.1-TerminusGrok 3
Kagi LLM Benchmark57.4%61.3%
LMArena Hard Prompts14261434
ARC-AGI-2—0%
SimpleBench—36.1%
ARC-AGI-1—5.5%
CritPt1.7%—
DTBench81.3%—
LMCA28.6%—
Epoch Capabilities Index—138.33

Math Too close to call

DeepSeek-V3.1-Terminus: 38.5 (#137), Grok 3: 38.0 (#145)

Math benchmarks
BenchmarkDeepSeek-V3.1-TerminusGrok 3
LMArena Math14021391
OTIS Mock AIME 2024-2025—55.6%
Omni-MATH—46.4%
MATH Level 5—88.7%
FrontierMath (Feb 2025 set)—3.8%
FrontierMath Tier 4 (v1)—0%

Knowledge Not comparable

DeepSeek-V3.1-Terminus: —, Grok 3: 46.2 (#82)

Knowledge benchmarks
BenchmarkDeepSeek-V3.1-TerminusGrok 3
GPQA Diamond—75.8%
MMLU-Pro—78.8%
Confabulations—14.2%
Vectara Hallucination Rate—5.8%
GPQA (HELM)—65%
LMArena Expert—1421

Multilingual Too close to call

DeepSeek-V3.1-Terminus: 52.1 (#92), Grok 3: 52.3 (#87)

Multilingual benchmarks
BenchmarkDeepSeek-V3.1-TerminusGrok 3
LMArena Non-English14071410
LMArena Russian14361416
LMArena Chinese—1448
LMArena French—1460
LMArena German—1431
LMArena Japanese—1387
LMArena Korean—1373
LMArena Spanish—1417

Instruction Following Grok 3 leads

DeepSeek-V3.1-Terminus: 74.0 (#106), Grok 3: 75.0 (#73)

Instruction Following benchmarks
BenchmarkDeepSeek-V3.1-TerminusGrok 3
LMArena Instruction Following14041409
IFEval—88.4%

Long Context DeepSeek-V3.1-Terminus leads

DeepSeek-V3.1-Terminus: 43.4 (#97), Grok 3: 38.7 (#192)

Long Context benchmarks
BenchmarkDeepSeek-V3.1-TerminusGrok 3
LMArena Longer Query14211439
Fiction.LiveBench—58.3%

Writing & Preference DeepSeek-V3.1-Terminus leads

DeepSeek-V3.1-Terminus: 61.0 (#92), Grok 3: 55.8 (#141)

Writing & Preference benchmarks
BenchmarkDeepSeek-V3.1-TerminusGrok 3
LMArena Text14191426
LMArena Creative Writing14031414
LMArena Multi-Turn14111425
Short-Story Creative Writing—76.4%
EQ-Bench Creative Writing—1186
WildBench—84.9%

Frequently asked questions

Is DeepSeek-V3.1-Terminus better than Grok 3?

DeepSeek-V3.1-Terminus is the stronger model overall, scoring 43.1 to 39.9 on the Noometry Index.

Is DeepSeek-V3.1-Terminus or Grok 3 better for coding?

They score almost the same on coding (42.0 vs 41.9); test both on your own repository before choosing.

How many benchmarks do DeepSeek-V3.1-Terminus and Grok 3 share?

11 benchmarks have published results for both models. DeepSeek-V3.1-Terminus has 16 scored results on Noometry and Grok 3 has 40.

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