Model comparison

Mistral Large 3 vs Qwen3.5-9B

Mistral Large 3 is the stronger model overall, scoring 38.6 to 33.3 on the Noometry Index. Qwen3.5-9B costs 3.3× less per token, which makes it the better buy when Mistral Large 3's lead doesn't matter for your workload.

Last verified October 10, 2026. 0 shared benchmarks.

Mistral Large 3

Mistral AI

38.6

Rank #172 Confirmed

Qwen3.5-9B

Alibaba (Qwen)

33.3

Rank #235 Confirmed

Summary

The widest gap is in knowledge, where Qwen3.5-9B leads 46.0 to 35.5.
Qwen3.5-9B is cheaper at $0.10 / $0.15 per million input/output tokens, against $0.25 / $0.75 for Mistral Large 3.

Side by side

Mistral Large 3 and Qwen3.5-9B specifications
	Mistral Large 3	Qwen3.5-9B
Provider	Mistral AI	Alibaba (Qwen)
Noometry Index	38.6	33.3
Released	2025-12-02	2026-02-23
Weights	Open	Open
Context window	262K	262K
Max output	8K	66K
Input $ / M tokens	$0.25	$0.10
Output $ / M tokens	$0.75	$0.15
Results tracked	24	10

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Category by category

Coding Qwen3.5-9B leads

Mistral Large 3: 34.1 (#230), Qwen3.5-9B: 35.3 (#213)

Coding benchmarks
Benchmark	Mistral Large 3	Qwen3.5-9B
LMArena WebDev	1230	—
SciCode	—	27.5%
LMArena Coding	1447	—

Agentic & Tool Use Not comparable

Mistral Large 3: —, Qwen3.5-9B: 14.4 (#143)

Agentic & Tool Use benchmarks
Benchmark	Mistral Large 3	Qwen3.5-9B
Terminal-Bench	—	9.2%

Reasoning Qwen3.5-9B leads

Mistral Large 3: 14.6 (#314), Qwen3.5-9B: 22.5 (#178)

Reasoning benchmarks
Benchmark	Mistral Large 3	Qwen3.5-9B
Kagi LLM Benchmark	50.9%	—
NYT Connections (extended)	7.5%	—
CritPt	—	0.3%
Chess Puzzles	—	12%
Thematic Generalization	23%	—
LMArena Hard Prompts	1429	—
DTBench	—	71.2%
LMCA	—	24.5%
Epoch Capabilities Index	—	139.45

Math Mistral Large 3 leads

Mistral Large 3: 36.0 (#131), Qwen3.5-9B: 33.5 (#174)

Math benchmarks
Benchmark	Mistral Large 3	Qwen3.5-9B
MathArena Final-Answer Competitions	—	48.5%
OTIS Mock AIME 2024-2025	—	61.7%
LMArena Math	1415	—

Knowledge Qwen3.5-9B leads

Mistral Large 3: 35.5 (#173), Qwen3.5-9B: 46.0 (#77)

Knowledge benchmarks
Benchmark	Mistral Large 3	Qwen3.5-9B
GPQA Diamond	—	79%
Vectara Hallucination Rate	14.5%	—
LMArena Expert	1421	—

Multimodal Not comparable

Mistral Large 3: 37.6 (#65), Qwen3.5-9B: —

Multimodal benchmarks
Benchmark	Mistral Large 3	Qwen3.5-9B
LMArena Vision	1222	—

Multilingual Not comparable

Mistral Large 3: 52.6 (#79), Qwen3.5-9B: —

Multilingual benchmarks
Benchmark	Mistral Large 3	Qwen3.5-9B
LMArena Non-English	1412	—
LMArena Chinese	1448	—
LMArena French	1456	—
LMArena German	1438	—
LMArena Japanese	1399	—
LMArena Korean	1384	—
LMArena Russian	1412	—
LMArena Spanish	1437	—

Instruction Following Not comparable

Mistral Large 3: 74.1 (#104), Qwen3.5-9B: —

Instruction Following benchmarks
Benchmark	Mistral Large 3	Qwen3.5-9B
LMArena Instruction Following	1402	—

Long Context Not comparable

Mistral Large 3: 43.1 (#102), Qwen3.5-9B: —

Long Context benchmarks
Benchmark	Mistral Large 3	Qwen3.5-9B
LMArena Longer Query	1413	—

Writing & Preference Not comparable

Mistral Large 3: 60.2 (#100), Qwen3.5-9B: —

Writing & Preference benchmarks
Benchmark	Mistral Large 3	Qwen3.5-9B
LMArena Text	1427	—
LMArena Creative Writing	1385	—
EQ-Bench Creative Writing	1412	—
LMArena Multi-Turn	1429	—

Frequently asked questions

Is Mistral Large 3 better than Qwen3.5-9B?

Which is cheaper, Mistral Large 3 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 3 lists at $0.25 and $0.75.

Is Mistral Large 3 or Qwen3.5-9B better for coding?

Qwen3.5-9B scores higher on coding benchmarks: 35.3 versus 34.1 in the Noometry coding category.

Which has the bigger context window?

Both accept 262K tokens.

How many benchmarks do Mistral Large 3 and Qwen3.5-9B share?

0 benchmarks have published results for both models. Mistral Large 3 has 24 scored results on Noometry and Qwen3.5-9B has 10.