Model comparison

Magistral Medium vs Qwen3 14B

Magistral Medium and Qwen3 14B score almost the same on the Noometry Index (35.2 vs 35.5), so choose on price, context window or the category you care about most.

Last verified . 3 shared benchmarks.

Magistral Medium Mistral AI

35.2

Rank #227 Confirmed

Qwen3 14B Alibaba (Qwen)

35.5

Rank #225 Confirmed

Summary

  • They share 3 benchmarks with published results for both. Magistral Medium scores higher in 2 categories and Qwen3 14B in 3 categories; 5 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Qwen3 14B leads 18.5 to 8.6.
  • The biggest single-benchmark swing is Kagi LLM Benchmark: 16.2% for Magistral Medium and 49.1% for Qwen3 14B.
  • Qwen3 14B is cheaper at $0.35 / $1.40 per million input/output tokens, against $2 / $5 for Magistral Medium.
  • Magistral Medium accepts more context: 262K tokens versus 131K.

Side by side

Magistral Medium and Qwen3 14B specifications
Magistral MediumQwen3 14B
ProviderMistral AIAlibaba (Qwen)
Noometry Index35.235.5
Released2025-03-172025-04
WeightsOpenOpen
Context window262K131K
Max output16K8K
Input $ / M tokens$2$0.35
Output $ / M tokens$5$1.40
Results tracked2212

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Category by category

Coding Magistral Medium leads

Magistral Medium: 39.1 (#161), Qwen3 14B: 37.3 (#195)

Coding benchmarks
BenchmarkMagistral MediumQwen3 14B
SciCode39.2%31.6%
LMArena Coding1319—

Agentic & Tool Use Not comparable

Magistral Medium: —, Qwen3 14B: 29.6 (#83)

Agentic & Tool Use benchmarks
BenchmarkMagistral MediumQwen3 14B
Berkeley Function Calling Leaderboard—41%

Reasoning Qwen3 14B leads

Magistral Medium: 8.6 (#348), Qwen3 14B: 18.5 (#280)

Reasoning benchmarks
BenchmarkMagistral MediumQwen3 14B
Kagi LLM Benchmark16.2%49.1%
CritPt0.3%0%
ARC-AGI-20%—
ARC-AGI-16.1%—
Chess Puzzles—4%
LMArena Hard Prompts1267—
DTBench—64%
LMCA—18.2%
Epoch Capabilities Index—138.23

Math Qwen3 14B leads

Magistral Medium: 35.1 (#189), Qwen3 14B: 38.6 (#133)

Math benchmarks
BenchmarkMagistral MediumQwen3 14B
OTIS Mock AIME 2024-2025—66.4%
LMArena Math1250—

Knowledge Qwen3 14B leads

Magistral Medium: 33.5 (#202), Qwen3 14B: 39.3 (#134)

Knowledge benchmarks
BenchmarkMagistral MediumQwen3 14B
GPQA Diamond—63.8%
Vectara Hallucination Rate—5.4%
LMArena Expert1223—

Multilingual Not comparable

Magistral Medium: 39.6 (#224), Qwen3 14B: —

Multilingual benchmarks
BenchmarkMagistral MediumQwen3 14B
LMArena Non-English1232—
LMArena Chinese1227—
LMArena French1267—
LMArena German1248—
LMArena Japanese1175—
LMArena Korean1125—
LMArena Russian1224—
LMArena Spanish1271—

Instruction Following Not comparable

Magistral Medium: 66.0 (#211), Qwen3 14B: —

Instruction Following benchmarks
BenchmarkMagistral MediumQwen3 14B
LMArena Instruction Following1254—

Long Context Magistral Medium leads

Magistral Medium: 39.3 (#183), Qwen3 14B: 38.1 (#204)

Long Context benchmarks
BenchmarkMagistral MediumQwen3 14B
Fiction.LiveBench—62.5%
LMArena Longer Query1295—

Writing & Preference Not comparable

Magistral Medium: 46.3 (#219), Qwen3 14B: —

Writing & Preference benchmarks
BenchmarkMagistral MediumQwen3 14B
LMArena Text1255—
LMArena Creative Writing1245—
LMArena Multi-Turn1275—

Frequently asked questions

Is Magistral Medium better than Qwen3 14B?

Magistral Medium and Qwen3 14B score almost the same on the Noometry Index (35.2 vs 35.5), so choose on price, context window or the category you care about most.

Which is cheaper, Magistral Medium or Qwen3 14B?

Qwen3 14B is cheaper. It lists at $0.35 per million input tokens and $1.40 per million output tokens; Magistral Medium lists at $2 and $5.

Is Magistral Medium or Qwen3 14B better for coding?

Magistral Medium scores higher on coding benchmarks: 39.1 versus 37.3 in the Noometry coding category.

Which has the bigger context window?

Magistral Medium does, with 262K tokens against 131K.

How many benchmarks do Magistral Medium and Qwen3 14B share?

3 benchmarks have published results for both models. Magistral Medium has 22 scored results on Noometry and Qwen3 14B has 12.

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