Model comparison

Granite 4.0 Micro vs Qwen3.5 122B-A10B

Qwen3.5 122B-A10B is the stronger model overall, scoring 42.1 to 29.0 on the Noometry Index. Granite 4.0 Micro costs 27× less per token, which makes it the better buy when Qwen3.5 122B-A10B's lead doesn't matter for your workload.

Last verified October 10, 2026. 0 shared benchmarks.

Granite 4.0 Micro IBM

29.0

Rank #318 Confirmed

Qwen3.5 122B-A10B

Alibaba (Qwen)

42.1

Rank #119 Confirmed

Summary

The widest gap is in knowledge, where Qwen3.5 122B-A10B leads 38.8 to 9.9.
Granite 4.0 Micro is cheaper at $0.017 / $0.11 per million input/output tokens, against $0.40 / $3.20 for Qwen3.5 122B-A10B.
Qwen3.5 122B-A10B accepts more context: 262K tokens versus 131K.

Side by side

Granite 4.0 Micro and Qwen3.5 122B-A10B specifications
	Granite 4.0 Micro	Qwen3.5 122B-A10B
Provider	IBM	Alibaba (Qwen)
Noometry Index	29.0	42.1
Released	2025-10-02	2026-02-23
Weights	Open	Open
Context window	131K	262K
Max output	118K	66K
Input $ / M tokens	$0.017	$0.40
Output $ / M tokens	$0.11	$3.20
Results tracked	8	27

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Category by category

Coding Not comparable

Granite 4.0 Micro: —, Qwen3.5 122B-A10B: 39.1 (#162)

Coding benchmarks
Benchmark	Granite 4.0 Micro	Qwen3.5 122B-A10B
LMArena WebDev	—	1360
SciCode	—	35.6%
LMArena Coding	—	1436

Reasoning Qwen3.5 122B-A10B leads

Granite 4.0 Micro: 19.2 (#265), Qwen3.5 122B-A10B: 27.2 (#123)

Reasoning benchmarks
Benchmark	Granite 4.0 Micro	Qwen3.5 122B-A10B
NYT Connections (extended)	—	51.7%
CritPt	—	0.9%
Chess Puzzles	0%	—
Thematic Generalization	—	51.2%
LMArena Hard Prompts	—	1421
Mystery Game Puzzles	—	17%
DTBench	—	84.3%
LMCA	—	32.2%

Math Qwen3.5 122B-A10B leads

Granite 4.0 Micro: 12.0 (#307), Qwen3.5 122B-A10B: 39.1 (#112)

Math benchmarks
Benchmark	Granite 4.0 Micro	Qwen3.5 122B-A10B
OTIS Mock AIME 2024-2025	2.8%	—
Omni-MATH	20.9%	—
LMArena Math	—	1432

Knowledge Qwen3.5 122B-A10B leads

Granite 4.0 Micro: 9.9 (#304), Qwen3.5 122B-A10B: 38.8 (#142)

Knowledge benchmarks
Benchmark	Granite 4.0 Micro	Qwen3.5 122B-A10B
GPQA Diamond	28.3%	—
MMLU-Pro	39.5%	—
Vectara Hallucination Rate	—	11.2%
GPQA (HELM)	30.7%	—
LMArena Expert	—	1432

Multimodal Not comparable

Granite 4.0 Micro: —, Qwen3.5 122B-A10B: 39.6 (#57)

Multimodal benchmarks
Benchmark	Granite 4.0 Micro	Qwen3.5 122B-A10B
LMArena Vision	—	1245

Multilingual Not comparable

Granite 4.0 Micro: —, Qwen3.5 122B-A10B: 51.6 (#107)

Multilingual benchmarks
Benchmark	Granite 4.0 Micro	Qwen3.5 122B-A10B
LMArena Non-English	—	1400
LMArena Chinese	—	1462
LMArena French	—	1442
LMArena German	—	1426
LMArena Japanese	—	1367
LMArena Korean	—	1352
LMArena Russian	—	1400
LMArena Spanish	—	1424

Instruction Following Qwen3.5 122B-A10B leads

Granite 4.0 Micro: 69.9 (#169), Qwen3.5 122B-A10B: 73.8 (#115)

Instruction Following benchmarks
Benchmark	Granite 4.0 Micro	Qwen3.5 122B-A10B
IFEval	84.9%	—
LMArena Instruction Following	—	1399

Long Context Not comparable

Granite 4.0 Micro: —, Qwen3.5 122B-A10B: 43.0 (#109)

Long Context benchmarks
Benchmark	Granite 4.0 Micro	Qwen3.5 122B-A10B
LMArena Longer Query	—	1410

Writing & Preference Qwen3.5 122B-A10B leads

Granite 4.0 Micro: 46.7 (#216), Qwen3.5 122B-A10B: 60.0 (#105)

Writing & Preference benchmarks
Benchmark	Granite 4.0 Micro	Qwen3.5 122B-A10B
LMArena Text	—	1417
LMArena Creative Writing	—	1368
WildBench	67%	—
LMArena Multi-Turn	—	1416

Frequently asked questions

Is Granite 4.0 Micro better than Qwen3.5 122B-A10B?

Which is cheaper, Granite 4.0 Micro or Qwen3.5 122B-A10B?

Granite 4.0 Micro is cheaper. It lists at $0.017 per million input tokens and $0.11 per million output tokens; Qwen3.5 122B-A10B lists at $0.40 and $3.20.

Which has the bigger context window?

Qwen3.5 122B-A10B does, with 262K tokens against 131K.

How many benchmarks do Granite 4.0 Micro and Qwen3.5 122B-A10B share?

0 benchmarks have published results for both models. Granite 4.0 Micro has 8 scored results on Noometry and Qwen3.5 122B-A10B has 27.