Noometry

Model comparison

Mistral Large 3 vs Qwen3 14B

Mistral Large 3 is the stronger model overall, scoring 39.1 to 35.5 on the Noometry Index.

Last verified . 2 shared benchmarks.

Mistral Large 3 Mistral AI

39.1

Rank #176 Confirmed

Qwen3 14B Alibaba (Qwen)

35.5

Rank #225 Confirmed

Summary

  • They share 2 benchmarks with published results for both. Mistral Large 3 scores higher in 2 categories and Qwen3 14B in 3 categories; 4 gaps are clear of the uncertainty.
  • The widest gap is in long context, where Mistral Large 3 leads 43.1 to 38.1.
  • The biggest single-benchmark swing is Vectara Hallucination Rate: 14.5% for Mistral Large 3 and 5.4% for Qwen3 14B.
  • Mistral Large 3 is cheaper at $0.25 / $0.75 per million input/output tokens, against $0.35 / $1.40 for Qwen3 14B.
  • Mistral Large 3 accepts more context: 262K tokens versus 131K.

Side by side

Mistral Large 3Qwen3 14B
ProviderMistral AIAlibaba (Qwen)
Noometry Index39.135.5
Released2025-12-022025-04
WeightsOpenOpen
Context window262K131K
Max output8K8K
Input $ / M tokens$0.25$0.35
Output $ / M tokens$0.75$1.40
Results tracked2412

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Category by category

Coding Qwen3 14B leads

Mistral Large 3: 34.4 (#237), Qwen3 14B: 37.3 (#195)

BenchmarkMistral Large 3Qwen3 14B
LMArena WebDev1230—
SciCode—31.6%
LMArena Coding1448—

Agentic & Tool Use Not comparable

Mistral Large 3: —, Qwen3 14B: 29.6 (#83)

BenchmarkMistral Large 3Qwen3 14B
Berkeley Function Calling Leaderboard—41%

Reasoning Qwen3 14B leads

Mistral Large 3: 15.2 (#319), Qwen3 14B: 18.5 (#280)

BenchmarkMistral Large 3Qwen3 14B
Kagi LLM Benchmark50.9%49.1%
NYT Connections (extended)7.5%—
CritPt—0%
Chess Puzzles—4%
Thematic Generalization23%—
LMArena Hard Prompts1429—
DTBench—64%
LMCA—18.2%
Epoch Capabilities Index—138.23

Math Too close to call

Mistral Large 3: 38.7 (#129), Qwen3 14B: 38.6 (#133)

BenchmarkMistral Large 3Qwen3 14B
OTIS Mock AIME 2024-2025—66.4%
LMArena Math1414—

Knowledge Qwen3 14B leads

Mistral Large 3: 36.0 (#177), Qwen3 14B: 39.3 (#134)

BenchmarkMistral Large 3Qwen3 14B
Vectara Hallucination Rate14.5%5.4%
GPQA Diamond—63.8%
LMArena Expert1421—

Multimodal Not comparable

Mistral Large 3: 38.2 (#66), Qwen3 14B: —

BenchmarkMistral Large 3Qwen3 14B
LMArena Vision1221—

Multilingual Not comparable

Mistral Large 3: 52.5 (#84), Qwen3 14B: —

BenchmarkMistral Large 3Qwen3 14B
LMArena Non-English1413—
LMArena Chinese1447—
LMArena French1455—
LMArena German1437—
LMArena Japanese1394—
LMArena Korean1384—
LMArena Russian1411—
LMArena Spanish1440—

Instruction Following Not comparable

Mistral Large 3: 74.0 (#108), Qwen3 14B: —

BenchmarkMistral Large 3Qwen3 14B
LMArena Instruction Following1403—

Long Context Mistral Large 3 leads

Mistral Large 3: 43.1 (#105), Qwen3 14B: 38.1 (#204)

BenchmarkMistral Large 3Qwen3 14B
Fiction.LiveBench—62.5%
LMArena Longer Query1413—

Writing & Preference Not comparable

Mistral Large 3: 60.0 (#101), Qwen3 14B: —

BenchmarkMistral Large 3Qwen3 14B
LMArena Text1428—
LMArena Creative Writing1386—
EQ-Bench Creative Writing1412—
LMArena Multi-Turn1429—

Frequently asked questions

Is Mistral Large 3 better than Qwen3 14B?

Mistral Large 3 is the stronger model overall, scoring 39.1 to 35.5 on the Noometry Index.

Which is cheaper, Mistral Large 3 or Qwen3 14B?

Mistral Large 3 is cheaper. It lists at $0.25 per million input tokens and $0.75 per million output tokens; Qwen3 14B lists at $0.35 and $1.40.

Is Mistral Large 3 or Qwen3 14B better for coding?

Qwen3 14B scores higher on coding benchmarks: 37.3 versus 34.4 in the Noometry coding category.

Which has the bigger context window?

Mistral Large 3 does, with 262K tokens against 131K.

How many benchmarks do Mistral Large 3 and Qwen3 14B share?

2 benchmarks have published results for both models. Mistral Large 3 has 24 scored results on Noometry and Qwen3 14B has 12.

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