Model comparison

Mistral Medium 3.5 vs Qwen3-30B-A3B

Mistral Medium 3.5 is the stronger model overall, scoring 39.6 to 38.5 on the Noometry Index. Qwen3-30B-A3B costs 14× 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 10, 2026. 18 shared benchmarks.

Mistral Medium 3.5

Mistral AI

39.6

Rank #151 Confirmed

Qwen3-30B-A3B

Alibaba (Qwen)

38.5

Rank #174 Confirmed

Summary

They share 18 benchmarks with published results for both. Mistral Medium 3.5 scores higher in 5 categories and Qwen3-30B-A3B in 3 categories; 7 gaps are clear of the uncertainty.
The widest gap is in long context, where Mistral Medium 3.5 leads 43.2 to 31.0.
The biggest single-benchmark swing is Kagi LLM Benchmark: 41.4% for Mistral Medium 3.5 and 54.9% for Qwen3-30B-A3B.
Qwen3-30B-A3B is cheaper at $0.12 / $0.50 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 41K.

Side by side

Mistral Medium 3.5 and Qwen3-30B-A3B specifications
	Mistral Medium 3.5	Qwen3-30B-A3B
Provider	Mistral AI	Alibaba (Qwen)
Noometry Index	39.6	38.5
Released	—	2025-04-28
Weights	Open	Open
Context window	262K	41K
Max output	210K	16K
Input $ / M tokens	$1.50	$0.12
Output $ / M tokens	$7.50	$0.50
Results tracked	22	32

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Category by category

Coding Qwen3-30B-A3B leads

Mistral Medium 3.5: 35.7 (#208), Qwen3-30B-A3B: 37.0 (#188)

Coding benchmarks
Benchmark	Mistral Medium 3.5	Qwen3-30B-A3B
LMArena Coding	1461	1416
LMArena WebDev	1263	—
SciCode	—	33.3%
WeirdML	—	29.8%

Agentic & Tool Use Not comparable

Mistral Medium 3.5: —, Qwen3-30B-A3B: 29.5 (#75)

Agentic & Tool Use benchmarks
Benchmark	Mistral Medium 3.5	Qwen3-30B-A3B
Berkeley Function Calling Leaderboard	—	41.4%

Reasoning Qwen3-30B-A3B leads

Mistral Medium 3.5: 16.6 (#290), Qwen3-30B-A3B: 21.6 (#193)

Reasoning benchmarks
Benchmark	Mistral Medium 3.5	Qwen3-30B-A3B
Kagi LLM Benchmark	41.4%	54.9%
LMArena Hard Prompts	1436	1398
Epoch Capabilities Index	141.42	139.63
NYT Connections (extended)	12.9%	—
CritPt	—	0.3%
Chess Puzzles	—	8%
DTBench	—	69.3%
LMCA	—	22.4%

Math Too close to call

Mistral Medium 3.5: 36.4 (#113), Qwen3-30B-A3B: 36.0 (#133)

Math benchmarks
Benchmark	Mistral Medium 3.5	Qwen3-30B-A3B
LMArena Math	1432	1394
MathArena Final-Answer Competitions	—	47.8%
OTIS Mock AIME 2024-2025	—	70.3%

Knowledge Qwen3-30B-A3B leads

Mistral Medium 3.5: 39.3 (#123), Qwen3-30B-A3B: 41.7 (#96)

Knowledge benchmarks
Benchmark	Mistral Medium 3.5	Qwen3-30B-A3B
LMArena Expert	1431	1395
GPQA Diamond	—	70.1%
Confabulations	—	12.3%

Multimodal Not comparable

Mistral Medium 3.5: 37.6 (#64), Qwen3-30B-A3B: —

Multimodal benchmarks
Benchmark	Mistral Medium 3.5	Qwen3-30B-A3B
LMArena Vision	1222	—

Multilingual Mistral Medium 3.5 leads

Mistral Medium 3.5: 52.1 (#93), Qwen3-30B-A3B: 49.8 (#126)

Multilingual benchmarks
Benchmark	Mistral Medium 3.5	Qwen3-30B-A3B
LMArena Non-English	1405	1372
LMArena Chinese	1443	1434
LMArena French	1448	1419
LMArena German	1453	1379
LMArena Korean	1387	1333
LMArena Russian	1396	1369
LMArena Spanish	1406	1403
LMArena Japanese	—	1338

Instruction Following Mistral Medium 3.5 leads

Mistral Medium 3.5: 74.7 (#87), Qwen3-30B-A3B: 72.2 (#137)

Instruction Following benchmarks
Benchmark	Mistral Medium 3.5	Qwen3-30B-A3B
LMArena Instruction Following	1414	1364

Long Context Mistral Medium 3.5 leads

Mistral Medium 3.5: 43.2 (#101), Qwen3-30B-A3B: 31.0 (#278)

Long Context benchmarks
Benchmark	Mistral Medium 3.5	Qwen3-30B-A3B
LMArena Longer Query	1414	1379
Fiction.LiveBench	—	40.6%

Writing & Preference Mistral Medium 3.5 leads

Mistral Medium 3.5: 58.6 (#113), Qwen3-30B-A3B: 55.9 (#138)

Writing & Preference benchmarks
Benchmark	Mistral Medium 3.5	Qwen3-30B-A3B
LMArena Text	1421	1384
LMArena Creative Writing	1372	1318
LMArena Multi-Turn	1423	1378
Short-Story Creative Writing	—	75.3%
EQ-Bench 4	993	—

Frequently asked questions

Is Mistral Medium 3.5 better than Qwen3-30B-A3B?

Which is cheaper, Mistral Medium 3.5 or Qwen3-30B-A3B?

Qwen3-30B-A3B is cheaper. It lists at $0.12 per million input tokens and $0.50 per million output tokens; Mistral Medium 3.5 lists at $1.50 and $7.50.

Is Mistral Medium 3.5 or Qwen3-30B-A3B better for coding?

Qwen3-30B-A3B scores higher on coding benchmarks: 37.0 versus 35.7 in the Noometry coding category.

Which has the bigger context window?

Mistral Medium 3.5 does, with 262K tokens against 41K.

How many benchmarks do Mistral Medium 3.5 and Qwen3-30B-A3B share?

18 benchmarks have published results for both models. Mistral Medium 3.5 has 22 scored results on Noometry and Qwen3-30B-A3B has 32.