Model comparison

Mistral Medium 3.5 vs Qwen3 14B

Mistral Medium 3.5 is the stronger model overall, scoring 40.2 to 35.5 on the Noometry Index. Qwen3 14B costs 4.9× less per token, which makes it the better buy when Mistral Medium 3.5's lead doesn't matter for your workload.

Last verified October 11, 2026. 2 shared benchmarks.

Mistral Medium 3.5

Mistral AI

40.2

Rank #152 Confirmed

Qwen3 14B

Alibaba (Qwen)

35.5

Rank #225 Confirmed

Summary

They share 2 benchmarks with published results for both. Mistral Medium 3.5 scores higher in 3 categories and Qwen3 14B in 2 categories; 3 gaps are clear of the uncertainty.
The widest gap is in long context, where Mistral Medium 3.5 leads 43.2 to 38.1.
The biggest single-benchmark swing is Kagi LLM Benchmark: 41.4% for Mistral Medium 3.5 and 49.1% for Qwen3 14B.
Qwen3 14B is cheaper at $0.35 / $1.40 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium 3.5.
Mistral Medium 3.5 accepts more context: 262K tokens versus 131K.

Side by side

Mistral Medium 3.5 and Qwen3 14B specifications
	Mistral Medium 3.5	Qwen3 14B
Provider	Mistral AI	Alibaba (Qwen)
Noometry Index	40.2	35.5
Released	—	2025-04
Weights	Open	Open
Context window	262K	131K
Max output	210K	8K
Input $ / M tokens	$1.50	$0.35
Output $ / M tokens	$7.50	$1.40
Results tracked	22	12

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Category by category

Coding Qwen3 14B leads

Mistral Medium 3.5: 36.0 (#213), Qwen3 14B: 37.3 (#195)

Coding benchmarks
Benchmark	Mistral Medium 3.5	Qwen3 14B
LMArena WebDev	1264	—
SciCode	—	31.6%
LMArena Coding	1461	—

Agentic & Tool Use Not comparable

Mistral Medium 3.5: —, Qwen3 14B: 29.6 (#83)

Agentic & Tool Use benchmarks
Benchmark	Mistral Medium 3.5	Qwen3 14B
Berkeley Function Calling Leaderboard	—	41%

Reasoning Qwen3 14B leads

Mistral Medium 3.5: 17.3 (#295), Qwen3 14B: 18.5 (#280)

Reasoning benchmarks
Benchmark	Mistral Medium 3.5	Qwen3 14B
Kagi LLM Benchmark	41.4%	49.1%
Epoch Capabilities Index	141.35	138.23
NYT Connections (extended)	12.9%	—
CritPt	—	0%
Chess Puzzles	—	4%
LMArena Hard Prompts	1436	—
DTBench	—	64%
LMCA	—	18.2%

Math Too close to call

Mistral Medium 3.5: 39.1 (#113), Qwen3 14B: 38.6 (#133)

Math benchmarks
Benchmark	Mistral Medium 3.5	Qwen3 14B
OTIS Mock AIME 2024-2025	—	66.4%
LMArena Math	1431	—

Knowledge Too close to call

Mistral Medium 3.5: 40.0 (#126), Qwen3 14B: 39.3 (#134)

Knowledge benchmarks
Benchmark	Mistral Medium 3.5	Qwen3 14B
GPQA Diamond	—	63.8%
Vectara Hallucination Rate	—	5.4%
LMArena Expert	1432	—

Multimodal Not comparable

Mistral Medium 3.5: 38.3 (#65), Qwen3 14B: —

Multimodal benchmarks
Benchmark	Mistral Medium 3.5	Qwen3 14B
LMArena Vision	1223	—

Multilingual Not comparable

Mistral Medium 3.5: 51.9 (#100), Qwen3 14B: —

Multilingual benchmarks
Benchmark	Mistral Medium 3.5	Qwen3 14B
LMArena Non-English	1404	—
LMArena Chinese	1442	—
LMArena French	1448	—
LMArena German	1451	—
LMArena Korean	1385	—
LMArena Russian	1395	—
LMArena Spanish	1409	—

Instruction Following Not comparable

Mistral Medium 3.5: 74.6 (#90), Qwen3 14B: —

Instruction Following benchmarks
Benchmark	Mistral Medium 3.5	Qwen3 14B
LMArena Instruction Following	1415	—

Long Context Mistral Medium 3.5 leads

Mistral Medium 3.5: 43.2 (#103), Qwen3 14B: 38.1 (#204)

Long Context benchmarks
Benchmark	Mistral Medium 3.5	Qwen3 14B
Fiction.LiveBench	—	62.5%
LMArena Longer Query	1415	—

Writing & Preference Not comparable

Mistral Medium 3.5: 58.5 (#117), Qwen3 14B: —

Writing & Preference benchmarks
Benchmark	Mistral Medium 3.5	Qwen3 14B
LMArena Text	1421	—
LMArena Creative Writing	1374	—
EQ-Bench 4	993	—
LMArena Multi-Turn	1423	—

Frequently asked questions

Is Mistral Medium 3.5 better than Qwen3 14B?

Which is cheaper, Mistral Medium 3.5 or Qwen3 14B?

Qwen3 14B is cheaper. It lists at $0.35 per million input tokens and $1.40 per million output tokens; Mistral Medium 3.5 lists at $1.50 and $7.50.

Is Mistral Medium 3.5 or Qwen3 14B better for coding?

Qwen3 14B scores higher on coding benchmarks: 37.3 versus 36.0 in the Noometry coding category.

Which has the bigger context window?

Mistral Medium 3.5 does, with 262K tokens against 131K.

How many benchmarks do Mistral Medium 3.5 and Qwen3 14B share?

2 benchmarks have published results for both models. Mistral Medium 3.5 has 22 scored results on Noometry and Qwen3 14B has 12.