Model comparison

Mistral Large 4 vs Qwen3 14B

Mistral Large 4 is the stronger model overall, scoring 43.1 to 35.5 on the Noometry Index. Qwen3 14B costs 1.7× less per token, which makes it the better buy when Mistral Large 4's lead doesn't matter for your workload.

Last verified October 11, 2026. 0 shared benchmarks.

Mistral Large 4

Mistral AI

43.1

Rank #99 Confirmed

Qwen3 14B

Alibaba (Qwen)

35.5

Rank #225 Confirmed

Summary

The widest gap is in coding, where Mistral Large 4 leads 48.6 to 37.3.
Qwen3 14B is cheaper at $0.35 / $1.40 per million input/output tokens, against $0.68 / $2.09 for Mistral Large 4.
Mistral Large 4 accepts more context: 1.05M tokens versus 131K.
Qwen3 14B has downloadable open weights; the other is API-only.

Side by side

Mistral Large 4 and Qwen3 14B specifications
	Mistral Large 4	Qwen3 14B
Provider	Mistral AI	Alibaba (Qwen)
Noometry Index	43.1	35.5
Released	2026-10-06	2025-04
Weights	Proprietary	Open
Context window	1.05M	131K
Max output	262K	8K
Input $ / M tokens	$0.68	$0.35
Output $ / M tokens	$2.09	$1.40
Results tracked	15	12

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Category by category

Coding Mistral Large 4 leads

Mistral Large 4: 48.6 (#57), Qwen3 14B: 37.3 (#195)

Coding benchmarks
Benchmark	Mistral Large 4	Qwen3 14B
LMArena WebDev	1541	—
SciCode	—	31.6%
LMArena Coding	1475	—

Agentic & Tool Use Not comparable

Mistral Large 4: —, Qwen3 14B: 29.6 (#83)

Agentic & Tool Use benchmarks
Benchmark	Mistral Large 4	Qwen3 14B
Berkeley Function Calling Leaderboard	—	41%

Reasoning Mistral Large 4 leads

Mistral Large 4: 22.5 (#192), Qwen3 14B: 18.5 (#280)

Reasoning benchmarks
Benchmark	Mistral Large 4	Qwen3 14B
Kagi LLM Benchmark	—	49.1%
NYT Connections (extended)	27.4%	—
CritPt	—	0%
Chess Puzzles	—	4%
LMArena Hard Prompts	1444	—
DTBench	—	64%
LMCA	—	18.2%
Epoch Capabilities Index	—	138.23

Math Mistral Large 4 leads

Mistral Large 4: 40.4 (#91), Qwen3 14B: 38.6 (#133)

Math benchmarks
Benchmark	Mistral Large 4	Qwen3 14B
OTIS Mock AIME 2024-2025	—	66.4%
LMArena Math	1488	—

Knowledge Qwen3 14B leads

Mistral Large 4: 36.6 (#166), Qwen3 14B: 39.3 (#134)

Knowledge benchmarks
Benchmark	Mistral Large 4	Qwen3 14B
GPQA Diamond	—	63.8%
SimpleQA Verified	20%	—
Vectara Hallucination Rate	—	5.4%
LMArena Expert	1447	—

Multilingual Not comparable

Mistral Large 4: 52.6 (#82), Qwen3 14B: —

Multilingual benchmarks
Benchmark	Mistral Large 4	Qwen3 14B
LMArena Non-English	1415	—
LMArena Chinese	1491	—
LMArena Russian	1414	—

Instruction Following Not comparable

Mistral Large 4: 75.0 (#76), Qwen3 14B: —

Instruction Following benchmarks
Benchmark	Mistral Large 4	Qwen3 14B
LMArena Instruction Following	1424	—

Long Context Mistral Large 4 leads

Mistral Large 4: 43.6 (#89), Qwen3 14B: 38.1 (#204)

Long Context benchmarks
Benchmark	Mistral Large 4	Qwen3 14B
Fiction.LiveBench	—	62.5%
LMArena Longer Query	1429	—

Writing & Preference Not comparable

Mistral Large 4: 60.4 (#97), Qwen3 14B: —

Writing & Preference benchmarks
Benchmark	Mistral Large 4	Qwen3 14B
LMArena Text	1427	—
LMArena Creative Writing	1361	—
LMArena Multi-Turn	1424	—

Frequently asked questions

Is Mistral Large 4 better than Qwen3 14B?

Which is cheaper, Mistral Large 4 or Qwen3 14B?

Qwen3 14B is cheaper. It lists at $0.35 per million input tokens and $1.40 per million output tokens; Mistral Large 4 lists at $0.68 and $2.09.

Is Mistral Large 4 or Qwen3 14B better for coding?

Mistral Large 4 scores higher on coding benchmarks: 48.6 versus 37.3 in the Noometry coding category.

Which has the bigger context window?

Mistral Large 4 does, with 1.05M tokens against 131K.

How many benchmarks do Mistral Large 4 and Qwen3 14B share?

0 benchmarks have published results for both models. Mistral Large 4 has 15 scored results on Noometry and Qwen3 14B has 12.