Model comparison

Mistral Large 4 vs Qwen3.5-9B

Mistral Large 4 is the stronger model overall, scoring 43.1 to 33.8 on the Noometry Index. Qwen3.5-9B costs 9.2× less per token, which makes it the better buy when Mistral Large 4's lead doesn't matter for your workload.

Last verified October 12, 2026. 0 shared benchmarks.

Mistral Large 4

Mistral AI

43.1

Rank #99 Confirmed

Qwen3.5-9B

Alibaba (Qwen)

33.8

Rank #236 Confirmed

Summary

The widest gap is in coding, where Mistral Large 4 leads 48.6 to 35.9.
Qwen3.5-9B is cheaper at $0.10 / $0.15 per million input/output tokens, against $0.68 / $2.09 for Mistral Large 4.
Mistral Large 4 accepts more context: 1.05M tokens versus 262K.
Qwen3.5-9B has downloadable open weights; the other is API-only.

Side by side

Mistral Large 4 and Qwen3.5-9B specifications
	Mistral Large 4	Qwen3.5-9B
Provider	Mistral AI	Alibaba (Qwen)
Noometry Index	43.1	33.8
Released	2026-10-06	2026-02-23
Weights	Proprietary	Open
Context window	1.05M	262K
Max output	262K	66K
Input $ / M tokens	$0.68	$0.10
Output $ / M tokens	$2.09	$0.15
Results tracked	15	10

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Category by category

Coding Mistral Large 4 leads

Mistral Large 4: 48.6 (#57), Qwen3.5-9B: 35.9 (#217)

Coding benchmarks
Benchmark	Mistral Large 4	Qwen3.5-9B
LMArena WebDev	1541	—
SciCode	—	27.5%
LMArena Coding	1475	—

Agentic & Tool Use Not comparable

Mistral Large 4: —, Qwen3.5-9B: 14.5 (#151)

Agentic & Tool Use benchmarks
Benchmark	Mistral Large 4	Qwen3.5-9B
Terminal-Bench	—	9.2%

Reasoning Too close to call

Mistral Large 4: 22.5 (#192), Qwen3.5-9B: 23.1 (#182)

Reasoning benchmarks
Benchmark	Mistral Large 4	Qwen3.5-9B
NYT Connections (extended)	27.4%	—
CritPt	—	0.3%
Chess Puzzles	—	12%
LMArena Hard Prompts	1444	—
DTBench	—	71.2%
LMCA	—	24.5%
Epoch Capabilities Index	—	139.46

Math Mistral Large 4 leads

Mistral Large 4: 40.4 (#91), Qwen3.5-9B: 34.8 (#192)

Math benchmarks
Benchmark	Mistral Large 4	Qwen3.5-9B
MathArena Final-Answer Competitions	—	48.5%
OTIS Mock AIME 2024-2025	—	61.7%
LMArena Math	1488	—

Knowledge Qwen3.5-9B leads

Mistral Large 4: 36.6 (#166), Qwen3.5-9B: 46.0 (#84)

Knowledge benchmarks
Benchmark	Mistral Large 4	Qwen3.5-9B
GPQA Diamond	—	79%
SimpleQA Verified	20%	—
LMArena Expert	1447	—

Multilingual Not comparable

Mistral Large 4: 52.6 (#82), Qwen3.5-9B: —

Multilingual benchmarks
Benchmark	Mistral Large 4	Qwen3.5-9B
LMArena Non-English	1415	—
LMArena Chinese	1491	—
LMArena Russian	1414	—

Instruction Following Not comparable

Mistral Large 4: 75.0 (#76), Qwen3.5-9B: —

Instruction Following benchmarks
Benchmark	Mistral Large 4	Qwen3.5-9B
LMArena Instruction Following	1424	—

Long Context Not comparable

Mistral Large 4: 43.6 (#89), Qwen3.5-9B: —

Long Context benchmarks
Benchmark	Mistral Large 4	Qwen3.5-9B
LMArena Longer Query	1429	—

Writing & Preference Not comparable

Mistral Large 4: 60.4 (#97), Qwen3.5-9B: —

Writing & Preference benchmarks
Benchmark	Mistral Large 4	Qwen3.5-9B
LMArena Text	1427	—
LMArena Creative Writing	1361	—
LMArena Multi-Turn	1424	—

Frequently asked questions

Is Mistral Large 4 better than Qwen3.5-9B?

Which is cheaper, Mistral Large 4 or Qwen3.5-9B?

Qwen3.5-9B is cheaper. It lists at $0.10 per million input tokens and $0.15 per million output tokens; Mistral Large 4 lists at $0.68 and $2.09.

Is Mistral Large 4 or Qwen3.5-9B better for coding?

Mistral Large 4 scores higher on coding benchmarks: 48.6 versus 35.9 in the Noometry coding category.

Which has the bigger context window?

Mistral Large 4 does, with 1.05M tokens against 262K.

How many benchmarks do Mistral Large 4 and Qwen3.5-9B share?

0 benchmarks have published results for both models. Mistral Large 4 has 15 scored results on Noometry and Qwen3.5-9B has 10.