Model comparison

DeepSeek-V3 vs Ministral 8B

DeepSeek-V3 is the stronger model overall, scoring 39.2 to 27.8 on the Noometry Index. Ministral 8B costs 4.0× less per token, which makes it the better buy when DeepSeek-V3's lead doesn't matter for your workload.

Last verified October 10, 2026. 16 shared benchmarks.

DeepSeek-V3

DeepSeek

39.2

Rank #157 Confirmed

Ministral 8B

Mistral AI

27.8

Rank #321 Confirmed

Summary

They share 16 benchmarks with published results for both. DeepSeek-V3 scores higher in 7 categories and Ministral 8B in 1 category; 8 gaps are clear of the uncertainty.
The widest gap is in knowledge, where DeepSeek-V3 leads 37.5 to 12.5.
The biggest single-benchmark swing is MATH Level 5: 75.5% for DeepSeek-V3 and 14.9% for Ministral 8B.
Ministral 8B is cheaper at $0.10 / $0.10 per million input/output tokens, against $0.24 / $0.90 for DeepSeek-V3.
DeepSeek-V3 accepts more context: 164K tokens versus 128K.

Side by side

DeepSeek-V3 and Ministral 8B specifications
	DeepSeek-V3	Ministral 8B
Provider	DeepSeek	Mistral AI
Noometry Index	39.2	27.8
Released	2024-12-26	2024-10-01
Weights	Open	Open
Context window	164K	128K
Max output	164K	128K
Input $ / M tokens	$0.24	$0.10
Output $ / M tokens	$0.90	$0.10
Results tracked	60	17

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Category by category

Coding DeepSeek-V3 leads

DeepSeek-V3: 41.9 (#99), Ministral 8B: 34.4 (#226)

Coding benchmarks
Benchmark	DeepSeek-V3	Ministral 8B
LMArena Coding	1368	1202
Aider Polyglot	55.1%	—
SciCode	35.8%	—
WeirdML	36.1%	—
BigCodeBench Instruct	50%	—
LiveBench Coding	70.9%	—
BigCodeBench Complete	62.2%	—
HumanEval+	86.6%	—
MBPP+	73%	—

Agentic & Tool Use Not comparable

DeepSeek-V3: —, Ministral 8B: 16.2 (#140)

Agentic & Tool Use benchmarks
Benchmark	DeepSeek-V3	Ministral 8B
Berkeley Function Calling Leaderboard	—	11.1%
METR Time Horizons	49.6%	—

Reasoning DeepSeek-V3 leads

DeepSeek-V3: 20.0 (#226), Ministral 8B: 17.7 (#279)

Reasoning benchmarks
Benchmark	DeepSeek-V3	Ministral 8B
LMArena Hard Prompts	1365	1191
DTBench	64.8%	45.7%
SimpleBench	27.2%	—
Kagi LLM Benchmark	52.3%	—
CritPt	0%	—
LiveBench Reasoning	65.8%	—
LiveBench Data Analysis	60.9%	—
LMCA	15.5%	—
BIG-Bench Hard	87.5%	—
Epoch Capabilities Index	135.95	—
ForecastBench	59.1	—
HellaSwag	88.9%	—
LiveBench	66.9%	—
PIQA	84.7%	—
WinoGrande	85.2%	—

Math DeepSeek-V3 leads

DeepSeek-V3: 30.4 (#208), Ministral 8B: 23.7 (#262)

Math benchmarks
Benchmark	DeepSeek-V3	Ministral 8B
LMArena Math	1373	1188
MATH Level 5	75.5%	14.9%
OTIS Mock AIME 2024-2025	37.8%	—
Omni-MATH	40.3%	—
LiveBench Math	73.5%	—
FrontierMath (Feb 2025 set)	1.7%	—

Knowledge DeepSeek-V3 leads

DeepSeek-V3: 37.5 (#147), Ministral 8B: 12.5 (#292)

Knowledge benchmarks
Benchmark	DeepSeek-V3	Ministral 8B
GPQA Diamond	67.6%	27.1%
Vectara Hallucination Rate	6.1%	7.4%
LMArena Expert	1352	1170
MMLU-Pro	72.3%	—
Confabulations	26.1%	—
GPQA (HELM)	53.8%	—
ARC (AI2) Challenge	95.3%	—
MMLU	87.2%	—
TriviaQA	82.9%	—

Multilingual DeepSeek-V3 leads

DeepSeek-V3: 48.8 (#138), Ministral 8B: 35.3 (#242)

Multilingual benchmarks
Benchmark	DeepSeek-V3	Ministral 8B
LMArena Non-English	1358	1165
LMArena Chinese	1390	1193
LMArena Russian	1372	1195
LMArena French	1386	—
LMArena German	1374	—
LMArena Japanese	1333	—
LMArena Korean	1321	—
LMArena Spanish	1358	—

Instruction Following DeepSeek-V3 leads

DeepSeek-V3: 73.0 (#125), Ministral 8B: 60.7 (#245)

Instruction Following benchmarks
Benchmark	DeepSeek-V3	Ministral 8B
LMArena Instruction Following	1345	1161
LiveBench Instruction Following	81.5%	—
IFEval	83.2%	—

Long Context Ministral 8B leads

DeepSeek-V3: 34.0 (#248), Ministral 8B: 36.7 (#222)

Long Context benchmarks
Benchmark	DeepSeek-V3	Ministral 8B
LMArena Longer Query	1353	1212
Fiction.LiveBench	50%	—

Writing & Preference DeepSeek-V3 leads

DeepSeek-V3: 57.6 (#124), Ministral 8B: 39.8 (#241)

Writing & Preference benchmarks
Benchmark	DeepSeek-V3	Ministral 8B
LMArena Text	1375	1191
LMArena Creative Writing	1364	1175
LMArena Multi-Turn	1389	1166
Short-Story Creative Writing	77%	—
EQ-Bench Creative Writing	1472	—
WildBench	83%	—
LiveBench Language	49.1%	—

Frequently asked questions

Is DeepSeek-V3 better than Ministral 8B?

Which is cheaper, DeepSeek-V3 or Ministral 8B?

Ministral 8B is cheaper. It lists at $0.10 per million input tokens and $0.10 per million output tokens; DeepSeek-V3 lists at $0.24 and $0.90.

Is DeepSeek-V3 or Ministral 8B better for coding?

DeepSeek-V3 scores higher on coding benchmarks: 41.9 versus 34.4 in the Noometry coding category.

Which has the bigger context window?

DeepSeek-V3 does, with 164K tokens against 128K.

How many benchmarks do DeepSeek-V3 and Ministral 8B share?

16 benchmarks have published results for both models. DeepSeek-V3 has 60 scored results on Noometry and Ministral 8B has 17.