Model comparison

Ministral 8B vs Qwen3 14B

Qwen3 14B is the stronger model overall, scoring 35.5 to 28.2 on the Noometry Index. Ministral 8B costs 4.1× less per token, which makes it the better buy when Qwen3 14B's lead doesn't matter for your workload.

Last verified . 4 shared benchmarks.

Ministral 8B Mistral AI

28.2

Rank #325 Confirmed

Qwen3 14B Alibaba (Qwen)

35.5

Rank #225 Confirmed

Summary

  • They share 4 benchmarks with published results for both. Ministral 8B scores higher in 0 categories and Qwen3 14B in 6 categories; 5 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Qwen3 14B leads 39.3 to 12.6.
  • The biggest single-benchmark swing is GPQA Diamond: 27.1% for Ministral 8B and 63.8% for Qwen3 14B.
  • Ministral 8B is cheaper at $0.15 / $0.15 per million input/output tokens, against $0.35 / $1.40 for Qwen3 14B.
  • Ministral 8B accepts more context: 262K tokens versus 131K.

Side by side

Ministral 8B and Qwen3 14B specifications
Ministral 8BQwen3 14B
ProviderMistral AIAlibaba (Qwen)
Noometry Index28.235.5
Released2024-10-012025-04
WeightsOpenOpen
Context window262K131K
Max output262K8K
Input $ / M tokens$0.15$0.35
Output $ / M tokens$0.15$1.40
Results tracked1712

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding Qwen3 14B leads

Ministral 8B: 35.0 (#230), Qwen3 14B: 37.3 (#195)

Coding benchmarks
BenchmarkMinistral 8BQwen3 14B
SciCode—31.6%
LMArena Coding1202—

Agentic & Tool Use Qwen3 14B leads

Ministral 8B: 16.4 (#148), Qwen3 14B: 29.6 (#83)

Agentic & Tool Use benchmarks
BenchmarkMinistral 8BQwen3 14B
Berkeley Function Calling Leaderboard11.1%41%

Reasoning Too close to call

Ministral 8B: 18.4 (#281), Qwen3 14B: 18.5 (#280)

Reasoning benchmarks
BenchmarkMinistral 8BQwen3 14B
DTBench45.7%64%
Kagi LLM Benchmark—49.1%
CritPt—0%
Chess Puzzles—4%
LMArena Hard Prompts1191—
LMCA—18.2%
Epoch Capabilities Index—138.23

Math Qwen3 14B leads

Ministral 8B: 25.7 (#267), Qwen3 14B: 38.6 (#133)

Math benchmarks
BenchmarkMinistral 8BQwen3 14B
OTIS Mock AIME 2024-2025—66.4%
LMArena Math1188—
MATH Level 514.9%—

Knowledge Qwen3 14B leads

Ministral 8B: 12.6 (#297), Qwen3 14B: 39.3 (#134)

Knowledge benchmarks
BenchmarkMinistral 8BQwen3 14B
GPQA Diamond27.1%63.8%
Vectara Hallucination Rate7.4%5.4%
LMArena Expert1170—

Multilingual Not comparable

Ministral 8B: 35.1 (#247), Qwen3 14B: —

Multilingual benchmarks
BenchmarkMinistral 8BQwen3 14B
LMArena Non-English1165—
LMArena Chinese1193—
LMArena Russian1195—

Instruction Following Not comparable

Ministral 8B: 60.5 (#250), Qwen3 14B: —

Instruction Following benchmarks
BenchmarkMinistral 8BQwen3 14B
LMArena Instruction Following1161—

Long Context Qwen3 14B leads

Ministral 8B: 36.7 (#227), Qwen3 14B: 38.1 (#204)

Long Context benchmarks
BenchmarkMinistral 8BQwen3 14B
Fiction.LiveBench—62.5%
LMArena Longer Query1212—

Writing & Preference Not comparable

Ministral 8B: 39.6 (#246), Qwen3 14B: —

Writing & Preference benchmarks
BenchmarkMinistral 8BQwen3 14B
LMArena Text1191—
LMArena Creative Writing1175—
LMArena Multi-Turn1166—

Frequently asked questions

Is Ministral 8B better than Qwen3 14B?

Qwen3 14B is the stronger model overall, scoring 35.5 to 28.2 on the Noometry Index. Ministral 8B costs 4.1× less per token, which makes it the better buy when Qwen3 14B's lead doesn't matter for your workload.

Which is cheaper, Ministral 8B or Qwen3 14B?

Ministral 8B is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; Qwen3 14B lists at $0.35 and $1.40.

Is Ministral 8B or Qwen3 14B better for coding?

Qwen3 14B scores higher on coding benchmarks: 37.3 versus 35.0 in the Noometry coding category.

Which has the bigger context window?

Ministral 8B does, with 262K tokens against 131K.

How many benchmarks do Ministral 8B and Qwen3 14B share?

4 benchmarks have published results for both models. Ministral 8B has 17 scored results on Noometry and Qwen3 14B has 12.

Related comparisons

Go deeper