Model comparison

Granite 4.2 8B vs Qwen3 32B

Granite 4.2 8B is the stronger model overall, scoring 40.5 to 39.2 on the Noometry Index.

Last verified October 12, 2026. 11 shared benchmarks.

Granite 4.2 8B IBM

40.5

Rank #148 Confirmed

Qwen3 32B

Alibaba (Qwen)

39.2

Rank #172 Confirmed

Summary

They share 11 benchmarks with published results for both. Granite 4.2 8B scores higher in 2 categories and Qwen3 32B in 5 categories; 6 gaps are clear of the uncertainty.
The widest gap is in reasoning, where Granite 4.2 8B leads 26.6 to 20.2.
Granite 4.2 8B is cheaper at $0.06 / $0.25 per million input/output tokens, against $0.70 / $2.80 for Qwen3 32B.

Side by side

Granite 4.2 8B and Qwen3 32B specifications
	Granite 4.2 8B	Qwen3 32B
Provider	IBM	Alibaba (Qwen)
Noometry Index	40.5	39.2
Released	—	2025-04
Weights	Open	Open
Context window	131K	131K
Max output	118K	16K
Input $ / M tokens	$0.06	$0.70
Output $ / M tokens	$0.25	$2.80
Results tracked	11	26

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Category by category

Coding Granite 4.2 8B leads

Granite 4.2 8B: 40.5 (#137), Qwen3 32B: 37.7 (#190)

Coding benchmarks
Benchmark	Granite 4.2 8B	Qwen3 32B
LMArena Coding	1380	1358
Aider Polyglot	—	40%
SciCode	—	35.4%

Agentic & Tool Use Not comparable

Granite 4.2 8B: —, Qwen3 32B: 32.6 (#62)

Agentic & Tool Use benchmarks
Benchmark	Granite 4.2 8B	Qwen3 32B
Berkeley Function Calling Leaderboard	—	48.7%

Reasoning Granite 4.2 8B leads

Granite 4.2 8B: 26.6 (#131), Qwen3 32B: 20.2 (#241)

Reasoning benchmarks
Benchmark	Granite 4.2 8B	Qwen3 32B
LMArena Hard Prompts	1329	1334
Kagi LLM Benchmark	—	54.9%
CritPt	—	0.3%
Chess Puzzles	—	5%
DTBench	—	67.5%
LMCA	—	17.3%
Epoch Capabilities Index	—	138.51

Math Not comparable

Granite 4.2 8B: —, Qwen3 32B: 39.7 (#99)

Math benchmarks
Benchmark	Granite 4.2 8B	Qwen3 32B
OTIS Mock AIME 2024-2025	—	66.9%
LMArena Math	—	1399

Knowledge Qwen3 32B leads

Granite 4.2 8B: 38.4 (#145), Qwen3 32B: 40.0 (#125)

Knowledge benchmarks
Benchmark	Granite 4.2 8B	Qwen3 32B
LMArena Expert	1384	1362
GPQA Diamond	—	65.7%
Vectara Hallucination Rate	—	5.9%

Multilingual Qwen3 32B leads

Granite 4.2 8B: 44.5 (#178), Qwen3 32B: 45.6 (#167)

Multilingual benchmarks
Benchmark	Granite 4.2 8B	Qwen3 32B
LMArena Non-English	1302	1317
LMArena Chinese	1366	1357
LMArena Russian	1285	1311
LMArena German	—	1341

Instruction Following Too close to call

Granite 4.2 8B: 68.7 (#184), Qwen3 32B: 68.9 (#179)

Instruction Following benchmarks
Benchmark	Granite 4.2 8B	Qwen3 32B
LMArena Instruction Following	1301	1305

Long Context Qwen3 32B leads

Granite 4.2 8B: 40.3 (#159), Qwen3 32B: 43.8 (#87)

Long Context benchmarks
Benchmark	Granite 4.2 8B	Qwen3 32B
LMArena Longer Query	1324	1327
Fiction.LiveBench	—	74.2%

Writing & Preference Qwen3 32B leads

Granite 4.2 8B: 49.6 (#189), Qwen3 32B: 52.9 (#163)

Writing & Preference benchmarks
Benchmark	Granite 4.2 8B	Qwen3 32B
LMArena Text	1320	1340
LMArena Creative Writing	1236	1297
LMArena Multi-Turn	1301	1331

Frequently asked questions

Is Granite 4.2 8B better than Qwen3 32B?

Granite 4.2 8B is the stronger model overall, scoring 40.5 to 39.2 on the Noometry Index.

Which is cheaper, Granite 4.2 8B or Qwen3 32B?

Granite 4.2 8B is cheaper. It lists at $0.06 per million input tokens and $0.25 per million output tokens; Qwen3 32B lists at $0.70 and $2.80.

Is Granite 4.2 8B or Qwen3 32B better for coding?

Granite 4.2 8B scores higher on coding benchmarks: 40.5 versus 37.7 in the Noometry coding category.

Which has the bigger context window?

Both accept 131K tokens.

How many benchmarks do Granite 4.2 8B and Qwen3 32B share?

11 benchmarks have published results for both models. Granite 4.2 8B has 11 scored results on Noometry and Qwen3 32B has 26.