Model comparison

Mistral Medium 3.5 vs Qwen3-Coder 480B-A35B Instruct

Mistral Medium 3.5 is the stronger model overall, scoring 40.2 to 38.1 on the Noometry Index.

Last verified October 10, 2026. 18 shared benchmarks.

Mistral Medium 3.5

Mistral AI

40.2

Rank #152 Confirmed

Qwen3-Coder 480B-A35B Instruct

Alibaba (Qwen)

38.1

Rank #190 Confirmed

Summary

They share 18 benchmarks with published results for both. Mistral Medium 3.5 scores higher in 7 categories and Qwen3-Coder 480B-A35B Instruct in 1 category; 7 gaps are clear of the uncertainty.
The widest gap is in reasoning, where Qwen3-Coder 480B-A35B Instruct leads 25.5 to 17.3.
The biggest single-benchmark swing is Kagi LLM Benchmark: 41.4% for Mistral Medium 3.5 and 49.5% for Qwen3-Coder 480B-A35B Instruct.
Both cost about the same: $1.50 input and $7.50 output per million tokens.

Side by side

Mistral Medium 3.5 and Qwen3-Coder 480B-A35B Instruct specifications
	Mistral Medium 3.5	Qwen3-Coder 480B-A35B Instruct
Provider	Mistral AI	Alibaba (Qwen)
Noometry Index	40.2	38.1
Released	—	2025-04
Weights	Open	Open
Context window	262K	262K
Max output	210K	66K
Input $ / M tokens	$1.50	$1.50
Output $ / M tokens	$7.50	$7.50
Results tracked	22	25

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Category by category

Coding Too close to call

Mistral Medium 3.5: 36.0 (#213), Qwen3-Coder 480B-A35B Instruct: 35.5 (#223)

Coding benchmarks
Benchmark	Mistral Medium 3.5	Qwen3-Coder 480B-A35B Instruct
LMArena WebDev	1264	1275
LMArena Coding	1461	1412
SWE-bench Verified (bash only)	—	55.4%
GSO	—	4.9%
WeirdML	—	41.2%
ALE-Bench	—	461.45
AlgoTune	—	1.44

Agentic & Tool Use Not comparable

Mistral Medium 3.5: —, Qwen3-Coder 480B-A35B Instruct: 23.9 (#123)

Agentic & Tool Use benchmarks
Benchmark	Mistral Medium 3.5	Qwen3-Coder 480B-A35B Instruct
Terminal-Bench	—	27.2%

Reasoning Qwen3-Coder 480B-A35B Instruct leads

Mistral Medium 3.5: 17.3 (#295), Qwen3-Coder 480B-A35B Instruct: 25.5 (#149)

Reasoning benchmarks
Benchmark	Mistral Medium 3.5	Qwen3-Coder 480B-A35B Instruct
Kagi LLM Benchmark	41.4%	49.5%
LMArena Hard Prompts	1436	1372
NYT Connections (extended)	12.9%	—
Epoch Capabilities Index	141.35	—

Math Mistral Medium 3.5 leads

Mistral Medium 3.5: 39.1 (#113), Qwen3-Coder 480B-A35B Instruct: 37.6 (#150)

Math benchmarks
Benchmark	Mistral Medium 3.5	Qwen3-Coder 480B-A35B Instruct
LMArena Math	1431	1365

Knowledge Mistral Medium 3.5 leads

Mistral Medium 3.5: 40.0 (#126), Qwen3-Coder 480B-A35B Instruct: 37.0 (#162)

Knowledge benchmarks
Benchmark	Mistral Medium 3.5	Qwen3-Coder 480B-A35B Instruct
LMArena Expert	1432	1338

Multimodal Not comparable

Mistral Medium 3.5: 38.3 (#65), Qwen3-Coder 480B-A35B Instruct: —

Multimodal benchmarks
Benchmark	Mistral Medium 3.5	Qwen3-Coder 480B-A35B Instruct
LMArena Vision	1223	—

Multilingual Mistral Medium 3.5 leads

Mistral Medium 3.5: 51.9 (#100), Qwen3-Coder 480B-A35B Instruct: 47.7 (#148)

Multilingual benchmarks
Benchmark	Mistral Medium 3.5	Qwen3-Coder 480B-A35B Instruct
LMArena Non-English	1404	1346
LMArena Chinese	1442	1357
LMArena French	1448	1398
LMArena German	1451	1325
LMArena Korean	1385	1305
LMArena Russian	1395	1366
LMArena Spanish	1409	1360
LMArena Japanese	—	1310

Instruction Following Mistral Medium 3.5 leads

Mistral Medium 3.5: 74.6 (#90), Qwen3-Coder 480B-A35B Instruct: 71.6 (#147)

Instruction Following benchmarks
Benchmark	Mistral Medium 3.5	Qwen3-Coder 480B-A35B Instruct
LMArena Instruction Following	1415	1355

Long Context Mistral Medium 3.5 leads

Mistral Medium 3.5: 43.2 (#103), Qwen3-Coder 480B-A35B Instruct: 42.0 (#131)

Long Context benchmarks
Benchmark	Mistral Medium 3.5	Qwen3-Coder 480B-A35B Instruct
LMArena Longer Query	1415	1378

Writing & Preference Mistral Medium 3.5 leads

Mistral Medium 3.5: 58.5 (#117), Qwen3-Coder 480B-A35B Instruct: 55.3 (#147)

Writing & Preference benchmarks
Benchmark	Mistral Medium 3.5	Qwen3-Coder 480B-A35B Instruct
LMArena Text	1421	1357
LMArena Creative Writing	1374	1333
LMArena Multi-Turn	1423	1365
EQ-Bench 4	993	—

Frequently asked questions

Is Mistral Medium 3.5 better than Qwen3-Coder 480B-A35B Instruct?

Mistral Medium 3.5 is the stronger model overall, scoring 40.2 to 38.1 on the Noometry Index.

Which is cheaper, Mistral Medium 3.5 or Qwen3-Coder 480B-A35B Instruct?

Qwen3-Coder 480B-A35B Instruct is cheaper. It lists at $1.50 per million input tokens and $7.50 per million output tokens; Mistral Medium 3.5 lists at $1.50 and $7.50.

Is Mistral Medium 3.5 or Qwen3-Coder 480B-A35B Instruct better for coding?

They score almost the same on coding (36.0 vs 35.5); test both on your own repository before choosing.

Which has the bigger context window?

Both accept 262K tokens.

How many benchmarks do Mistral Medium 3.5 and Qwen3-Coder 480B-A35B Instruct share?

18 benchmarks have published results for both models. Mistral Medium 3.5 has 22 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.