Noometry

Model comparison

DeepSeek-V3.1-Terminus vs Ministral 3B

DeepSeek-V3.1-Terminus is the stronger model overall, scoring 43.1 to 26.2 on the Noometry Index. Ministral 3B costs 4.5× less per token, which makes it the better buy when DeepSeek-V3.1-Terminus's lead doesn't matter for your workload.

Last verified . 2 shared benchmarks.

DeepSeek-V3.1-Terminus DeepSeek

43.1

Rank #97 Confirmed

Ministral 3B Mistral AI

26.2

Rank #338 Confirmed

Summary

  • They share 2 benchmarks with published results for both. DeepSeek-V3.1-Terminus scores higher in 2 categories and Ministral 3B in 0 categories; 2 gaps are clear of the uncertainty.
  • The widest gap is in math, where DeepSeek-V3.1-Terminus leads 38.5 to 26.6.
  • The biggest single-benchmark swing is DTBench: 81.3% for DeepSeek-V3.1-Terminus and 51.7% for Ministral 3B.
  • Ministral 3B is cheaper at $0.10 / $0.10 per million input/output tokens, against $0.27 / $1 for DeepSeek-V3.1-Terminus.
  • DeepSeek-V3.1-Terminus accepts more context: 164K tokens versus 131K.

Side by side

DeepSeek-V3.1-TerminusMinistral 3B
ProviderDeepSeekMistral AI
Noometry Index43.126.2
Released2025-09-222024-10-01
WeightsOpenOpen
Context window164K131K
Max output147K262K
Input $ / M tokens$0.27$0.10
Output $ / M tokens$1$0.10
Results tracked166

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Category by category

Coding Not comparable

DeepSeek-V3.1-Terminus: 42.0 (#113), Ministral 3B: —

BenchmarkDeepSeek-V3.1-TerminusMinistral 3B
SciCode40.6%—
LMArena Coding1426—
ALE-Bench745.17—

Reasoning DeepSeek-V3.1-Terminus leads

DeepSeek-V3.1-Terminus: 26.4 (#133), Ministral 3B: 18.4 (#282)

BenchmarkDeepSeek-V3.1-TerminusMinistral 3B
DTBench81.3%51.7%
LMCA28.6%5.5%
Kagi LLM Benchmark57.4%—
CritPt1.7%—
LMArena Hard Prompts1426—
Epoch Capabilities Index—118.1

Math DeepSeek-V3.1-Terminus leads

DeepSeek-V3.1-Terminus: 38.5 (#137), Ministral 3B: 26.6 (#258)

BenchmarkDeepSeek-V3.1-TerminusMinistral 3B
LMArena Math1402—
MATH Level 5—14.4%

Knowledge Not comparable

DeepSeek-V3.1-Terminus: —, Ministral 3B: 10.4 (#302)

BenchmarkDeepSeek-V3.1-TerminusMinistral 3B
GPQA Diamond—25.3%
Vectara Hallucination Rate—7.3%

Multilingual Not comparable

DeepSeek-V3.1-Terminus: 52.1 (#92), Ministral 3B: —

BenchmarkDeepSeek-V3.1-TerminusMinistral 3B
LMArena Non-English1407—
LMArena Russian1436—

Instruction Following Not comparable

DeepSeek-V3.1-Terminus: 74.0 (#106), Ministral 3B: —

BenchmarkDeepSeek-V3.1-TerminusMinistral 3B
LMArena Instruction Following1404—

Long Context Not comparable

DeepSeek-V3.1-Terminus: 43.4 (#97), Ministral 3B: —

BenchmarkDeepSeek-V3.1-TerminusMinistral 3B
LMArena Longer Query1421—

Writing & Preference Not comparable

DeepSeek-V3.1-Terminus: 61.0 (#92), Ministral 3B: —

BenchmarkDeepSeek-V3.1-TerminusMinistral 3B
LMArena Text1419—
LMArena Creative Writing1403—
LMArena Multi-Turn1411—

Frequently asked questions

Is DeepSeek-V3.1-Terminus better than Ministral 3B?

DeepSeek-V3.1-Terminus is the stronger model overall, scoring 43.1 to 26.2 on the Noometry Index. Ministral 3B costs 4.5× less per token, which makes it the better buy when DeepSeek-V3.1-Terminus's lead doesn't matter for your workload.

Which is cheaper, DeepSeek-V3.1-Terminus or Ministral 3B?

Ministral 3B is cheaper. It lists at $0.10 per million input tokens and $0.10 per million output tokens; DeepSeek-V3.1-Terminus lists at $0.27 and $1.

Which has the bigger context window?

DeepSeek-V3.1-Terminus does, with 164K tokens against 131K.

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

2 benchmarks have published results for both models. DeepSeek-V3.1-Terminus has 16 scored results on Noometry and Ministral 3B has 6.

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