Noometry

Model comparison

DeepSeek-V3.1-Terminus vs Gemini 1.5 Flash 8B

DeepSeek-V3.1-Terminus is the stronger model overall, scoring 42.6 to 29.7 on the Noometry Index.

Last verified . 11 shared benchmarks.

DeepSeek-V3.1-Terminus DeepSeek

42.6

Rank #96 Confirmed

Gemini 1.5 Flash 8B Google

29.7

Rank #292 Confirmed

Summary

  • They share 11 benchmarks with published results for both. DeepSeek-V3.1-Terminus scores higher in 7 categories and Gemini 1.5 Flash 8B in 0 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in math, where DeepSeek-V3.1-Terminus leads 35.7 to 13.3.
  • The biggest single-benchmark swing is DTBench: 81.3% for DeepSeek-V3.1-Terminus and 50% for Gemini 1.5 Flash 8B.
  • DeepSeek-V3.1-Terminus has downloadable open weights; the other is API-only.

Side by side

DeepSeek-V3.1-TerminusGemini 1.5 Flash 8B
ProviderDeepSeekGoogle
Noometry Index42.629.7
Released2025-09-222024-10-03
WeightsOpenProprietary
Context window164K—
Max output66K—
Input $ / M tokens$0.30—
Output $ / M tokens$1—
Results tracked1621

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Category by category

Coding DeepSeek-V3.1-Terminus leads

DeepSeek-V3.1-Terminus: 41.5 (#114), Gemini 1.5 Flash 8B: 34.9 (#221)

BenchmarkDeepSeek-V3.1-TerminusGemini 1.5 Flash 8B
LMArena Coding14261218
SciCode40.6%—
ALE-Bench745.17—

Reasoning DeepSeek-V3.1-Terminus leads

DeepSeek-V3.1-Terminus: 25.7 (#126), Gemini 1.5 Flash 8B: 19.2 (#242)

BenchmarkDeepSeek-V3.1-TerminusGemini 1.5 Flash 8B
LMArena Hard Prompts14271210
DTBench81.3%50%
Kagi LLM Benchmark57.4%—
CritPt1.7%—
LMCA28.6%—

Math DeepSeek-V3.1-Terminus leads

DeepSeek-V3.1-Terminus: 35.7 (#138), Gemini 1.5 Flash 8B: 13.3 (#296)

BenchmarkDeepSeek-V3.1-TerminusGemini 1.5 Flash 8B
LMArena Math14021207
OTIS Mock AIME 2024-2025—4.6%

Knowledge Not comparable

DeepSeek-V3.1-Terminus: —, Gemini 1.5 Flash 8B: 16.0 (#285)

BenchmarkDeepSeek-V3.1-TerminusGemini 1.5 Flash 8B
GPQA Diamond—33%
LMArena Expert—1185

Multimodal Not comparable

DeepSeek-V3.1-Terminus: —, Gemini 1.5 Flash 8B: 27.6 (#110)

BenchmarkDeepSeek-V3.1-TerminusGemini 1.5 Flash 8B
LMArena Vision—1044

Multilingual DeepSeek-V3.1-Terminus leads

DeepSeek-V3.1-Terminus: 52.3 (#87), Gemini 1.5 Flash 8B: 38.6 (#224)

BenchmarkDeepSeek-V3.1-TerminusGemini 1.5 Flash 8B
LMArena Non-English14071215
LMArena Russian14341236
LMArena Chinese—1231
LMArena French—1233
LMArena German—1206
LMArena Japanese—1150
LMArena Korean—1140
LMArena Spanish—1212

Instruction Following DeepSeek-V3.1-Terminus leads

DeepSeek-V3.1-Terminus: 74.4 (#96), Gemini 1.5 Flash 8B: 63.1 (#231)

BenchmarkDeepSeek-V3.1-TerminusGemini 1.5 Flash 8B
LMArena Instruction Following14061199

Long Context DeepSeek-V3.1-Terminus leads

DeepSeek-V3.1-Terminus: 43.5 (#88), Gemini 1.5 Flash 8B: 36.9 (#220)

BenchmarkDeepSeek-V3.1-TerminusGemini 1.5 Flash 8B
LMArena Longer Query14261219

Writing & Preference DeepSeek-V3.1-Terminus leads

DeepSeek-V3.1-Terminus: 61.3 (#87), Gemini 1.5 Flash 8B: 43.0 (#227)

BenchmarkDeepSeek-V3.1-TerminusGemini 1.5 Flash 8B
LMArena Text14201226
LMArena Creative Writing14041218
LMArena Multi-Turn14111185

Frequently asked questions

Is DeepSeek-V3.1-Terminus better than Gemini 1.5 Flash 8B?

DeepSeek-V3.1-Terminus is the stronger model overall, scoring 42.6 to 29.7 on the Noometry Index.

Is DeepSeek-V3.1-Terminus or Gemini 1.5 Flash 8B better for coding?

DeepSeek-V3.1-Terminus scores higher on coding benchmarks: 41.5 versus 34.9 in the Noometry coding category.

How many benchmarks do DeepSeek-V3.1-Terminus and Gemini 1.5 Flash 8B share?

11 benchmarks have published results for both models. DeepSeek-V3.1-Terminus has 16 scored results on Noometry and Gemini 1.5 Flash 8B has 21.

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