Model comparison

Granite 4.0 Micro vs Qwen3 32B

Qwen3 32B is the stronger model overall, scoring 38.8 to 28.8 on the Noometry Index. Granite 4.0 Micro costs 30× less per token, which makes it the better buy when Qwen3 32B's lead doesn't matter for your workload.

Last verified October 10, 2026. 3 shared benchmarks.

Granite 4.0 Micro IBM

28.8

Rank #312 Confirmed

Qwen3 32B

Alibaba (Qwen)

38.8

Rank #166 Confirmed

Summary

They share 3 benchmarks with published results for both. Granite 4.0 Micro scores higher in 1 category and Qwen3 32B in 4 categories; 4 gaps are clear of the uncertainty.
The widest gap is in knowledge, where Qwen3 32B leads 40.0 to 9.9.
The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 2.8% for Granite 4.0 Micro and 66.9% for Qwen3 32B.
Granite 4.0 Micro is cheaper at $0.017 / $0.11 per million input/output tokens, against $0.70 / $2.80 for Qwen3 32B.
Qwen3 32B accepts more context: 131K tokens versus 131K.

Side by side

Granite 4.0 Micro and Qwen3 32B specifications
	Granite 4.0 Micro	Qwen3 32B
Provider	IBM	Alibaba (Qwen)
Noometry Index	28.8	38.8
Released	2025-10-02	2025-04
Weights	Open	Open
Context window	131K	131K
Max output	118K	16K
Input $ / M tokens	$0.017	$0.70
Output $ / M tokens	$0.11	$2.80
Results tracked	8	26

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Category by category

Coding Not comparable

Granite 4.0 Micro: —, Qwen3 32B: 37.3 (#184)

Coding benchmarks
Benchmark	Granite 4.0 Micro	Qwen3 32B
Aider Polyglot	—	40%
SciCode	—	35.4%
LMArena Coding	—	1358

Agentic & Tool Use Not comparable

Granite 4.0 Micro: —, Qwen3 32B: 32.3 (#58)

Agentic & Tool Use benchmarks
Benchmark	Granite 4.0 Micro	Qwen3 32B
Berkeley Function Calling Leaderboard	—	48.7%

Reasoning Qwen3 32B leads

Granite 4.0 Micro: 18.5 (#261), Qwen3 32B: 19.6 (#233)

Reasoning benchmarks
Benchmark	Granite 4.0 Micro	Qwen3 32B
Chess Puzzles	0%	5%
Kagi LLM Benchmark	—	54.9%
CritPt	—	0.3%
LMArena Hard Prompts	—	1335
DTBench	—	67.5%
LMCA	—	17.3%
Epoch Capabilities Index	—	138.51

Math Qwen3 32B leads

Granite 4.0 Micro: 11.2 (#301), Qwen3 32B: 37.9 (#89)

Math benchmarks
Benchmark	Granite 4.0 Micro	Qwen3 32B
OTIS Mock AIME 2024-2025	2.8%	66.9%
Omni-MATH	20.9%	—
LMArena Math	—	1399

Knowledge Qwen3 32B leads

Granite 4.0 Micro: 9.9 (#299), Qwen3 32B: 40.0 (#112)

Knowledge benchmarks
Benchmark	Granite 4.0 Micro	Qwen3 32B
GPQA Diamond	28.3%	65.7%
MMLU-Pro	39.5%	—
Vectara Hallucination Rate	—	5.9%
GPQA (HELM)	30.7%	—
LMArena Expert	—	1362

Multilingual Not comparable

Granite 4.0 Micro: —, Qwen3 32B: 45.8 (#162)

Multilingual benchmarks
Benchmark	Granite 4.0 Micro	Qwen3 32B
LMArena Non-English	—	1317
LMArena Chinese	—	1357
LMArena German	—	1341
LMArena Russian	—	1311

Instruction Following Too close to call

Granite 4.0 Micro: 70.0 (#164), Qwen3 32B: 69.1 (#174)

Instruction Following benchmarks
Benchmark	Granite 4.0 Micro	Qwen3 32B
IFEval	84.9%	—
LMArena Instruction Following	—	1305

Long Context Not comparable

Granite 4.0 Micro: —, Qwen3 32B: 43.7 (#83)

Long Context benchmarks
Benchmark	Granite 4.0 Micro	Qwen3 32B
Fiction.LiveBench	—	74.2%
LMArena Longer Query	—	1327

Writing & Preference Qwen3 32B leads

Granite 4.0 Micro: 46.7 (#212), Qwen3 32B: 53.1 (#158)

Writing & Preference benchmarks
Benchmark	Granite 4.0 Micro	Qwen3 32B
LMArena Text	—	1340
LMArena Creative Writing	—	1297
WildBench	67%	—
LMArena Multi-Turn	—	1331

Frequently asked questions

Is Granite 4.0 Micro better than Qwen3 32B?

Which is cheaper, Granite 4.0 Micro or Qwen3 32B?

Granite 4.0 Micro is cheaper. It lists at $0.017 per million input tokens and $0.11 per million output tokens; Qwen3 32B lists at $0.70 and $2.80.

Which has the bigger context window?

Qwen3 32B does, with 131K tokens against 131K.

How many benchmarks do Granite 4.0 Micro and Qwen3 32B share?

3 benchmarks have published results for both models. Granite 4.0 Micro has 8 scored results on Noometry and Qwen3 32B has 26.