Model comparison

Mistral Large 3 vs Qwen3.8 Max

Qwen3.8 Max is the stronger model overall, scoring 56.8 to 39.1 on the Noometry Index. Mistral Large 3 costs 8.0× less per token, which makes it the better buy when Qwen3.8 Max's lead doesn't matter for your workload.

Last verified October 10, 2026. 20 shared benchmarks.

Mistral Large 3

Mistral AI

39.1

Rank #176 Confirmed

Qwen3.8 Max

Alibaba (Qwen)

56.8

Rank #22 Confirmed

Summary

They share 20 benchmarks with published results for both. Mistral Large 3 scores higher in 1 category and Qwen3.8 Max in 8 categories; 9 gaps are clear of the uncertainty.
The widest gap is in reasoning, where Qwen3.8 Max leads 54.4 to 15.2.
The biggest single-benchmark swing is NYT Connections (extended): 7.5% for Mistral Large 3 and 88.3% for Qwen3.8 Max.
Mistral Large 3 is cheaper at $0.25 / $0.75 per million input/output tokens, against $2 / $6 for Qwen3.8 Max.
Qwen3.8 Max accepts more context: 1M tokens versus 262K.
Mistral Large 3 has downloadable open weights; the other is API-only.

Side by side

Mistral Large 3 and Qwen3.8 Max specifications
	Mistral Large 3	Qwen3.8 Max
Provider	Mistral AI	Alibaba (Qwen)
Noometry Index	39.1	56.8
Released	2025-12-02	2026-08-02
Weights	Open	Proprietary
Context window	262K	1M
Max output	8K	131K
Input $ / M tokens	$0.25	$2
Output $ / M tokens	$0.75	$6
Results tracked	24	39

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Category by category

Coding Qwen3.8 Max leads

Mistral Large 3: 34.4 (#237), Qwen3.8 Max: 53.5 (#29)

Coding benchmarks
Benchmark	Mistral Large 3	Qwen3.8 Max
LMArena WebDev	1230	1674
LMArena Coding	1448	1502
DeepSWE	—	57.5%
FrontierSWE	—	17.8%
SciCode	—	53.2%

Agentic & Tool Use Not comparable

Mistral Large 3: —, Qwen3.8 Max: 45.4 (#14)

Agentic & Tool Use benchmarks
Benchmark	Mistral Large 3	Qwen3.8 Max
APEX-Agents	—	63.3%
τ²-bench Banking	—	55.1%
GDP.pdf	—	23.2%

Reasoning Qwen3.8 Max leads

Mistral Large 3: 15.2 (#319), Qwen3.8 Max: 54.4 (#26)

Reasoning benchmarks
Benchmark	Mistral Large 3	Qwen3.8 Max
NYT Connections (extended)	7.5%	88.3%
LMArena Hard Prompts	1429	1496
Kagi LLM Benchmark	50.9%	—
CritPt	—	20%
Chess Puzzles	—	40%
Thematic Generalization	23%	—
Mystery Game Puzzles	—	38%
DTBench	—	92%
LMCA	—	46.2%
Epoch Capabilities Index	—	156.41

Math Qwen3.8 Max leads

Mistral Large 3: 38.7 (#129), Qwen3.8 Max: 73.2 (#20)

Math benchmarks
Benchmark	Mistral Large 3	Qwen3.8 Max
LMArena Math	1414	1499
FrontierMath (Tiers 1-3)	—	74.7%
FrontierMath Tier 4	—	46.3%
OTIS Mock AIME 2024-2025	—	100%
ProofBench	—	58%

Knowledge Qwen3.8 Max leads

Mistral Large 3: 36.0 (#177), Qwen3.8 Max: 61.7 (#27)

Knowledge benchmarks
Benchmark	Mistral Large 3	Qwen3.8 Max
LMArena Expert	1421	1507
GPQA Diamond	—	92.7%
SimpleQA Verified	—	47.3%
Vectara Hallucination Rate	14.5%	—

Multimodal Mistral Large 3 leads

Mistral Large 3: 38.2 (#66), Qwen3.8 Max: 37.2 (#75)

Multimodal benchmarks
Benchmark	Mistral Large 3	Qwen3.8 Max
LMArena Vision	1221	1314
Furniture Assembly	—	20%

Multilingual Qwen3.8 Max leads

Mistral Large 3: 52.5 (#84), Qwen3.8 Max: 56.7 (#18)

Multilingual benchmarks
Benchmark	Mistral Large 3	Qwen3.8 Max
LMArena Non-English	1413	1472
LMArena Chinese	1447	1538
LMArena French	1455	1503
LMArena German	1437	1483
LMArena Japanese	1394	1467
LMArena Korean	1384	1461
LMArena Russian	1411	1481
LMArena Spanish	1440	1492

Instruction Following Qwen3.8 Max leads

Mistral Large 3: 74.0 (#108), Qwen3.8 Max: 77.6 (#17)

Instruction Following benchmarks
Benchmark	Mistral Large 3	Qwen3.8 Max
LMArena Instruction Following	1403	1479

Long Context Qwen3.8 Max leads

Mistral Large 3: 43.1 (#105), Qwen3.8 Max: 45.6 (#31)

Long Context benchmarks
Benchmark	Mistral Large 3	Qwen3.8 Max
LMArena Longer Query	1413	1489

Writing & Preference Qwen3.8 Max leads

Mistral Large 3: 60.0 (#101), Qwen3.8 Max: 67.1 (#30)

Writing & Preference benchmarks
Benchmark	Mistral Large 3	Qwen3.8 Max
LMArena Text	1428	1483
LMArena Creative Writing	1386	1479
LMArena Multi-Turn	1429	1489
EQ-Bench Creative Writing	1412	—

Frequently asked questions

Is Mistral Large 3 better than Qwen3.8 Max?

Which is cheaper, Mistral Large 3 or Qwen3.8 Max?

Mistral Large 3 is cheaper. It lists at $0.25 per million input tokens and $0.75 per million output tokens; Qwen3.8 Max lists at $2 and $6.

Is Mistral Large 3 or Qwen3.8 Max better for coding?

Qwen3.8 Max scores higher on coding benchmarks: 53.5 versus 34.4 in the Noometry coding category.

Which has the bigger context window?

Qwen3.8 Max does, with 1M tokens against 262K.

How many benchmarks do Mistral Large 3 and Qwen3.8 Max share?

20 benchmarks have published results for both models. Mistral Large 3 has 24 scored results on Noometry and Qwen3.8 Max has 39.