Model comparison

Granite 4.0 Micro vs Qwen3.8 27B

Qwen3.8 27B is the stronger model overall, scoring 46.0 to 29.0 on the Noometry Index. Granite 4.0 Micro costs 15× less per token, which makes it the better buy when Qwen3.8 27B's lead doesn't matter for your workload.

Last verified October 12, 2026. 0 shared benchmarks.

Granite 4.0 Micro IBM

29.0

Rank #318 Confirmed

Qwen3.8 27B

Alibaba (Qwen)

46.0

Rank #68 Confirmed

Summary

The widest gap is in knowledge, where Qwen3.8 27B leads 41.6 to 9.9.
Granite 4.0 Micro is cheaper at $0.017 / $0.11 per million input/output tokens, against $0.04 / $2.30 for Qwen3.8 27B.
Qwen3.8 27B accepts more context: 262K tokens versus 131K.

Side by side

Granite 4.0 Micro and Qwen3.8 27B specifications
	Granite 4.0 Micro	Qwen3.8 27B
Provider	IBM	Alibaba (Qwen)
Noometry Index	29.0	46.0
Released	2025-10-02	2026-08-14
Weights	Open	Open
Context window	131K	262K
Max output	118K	33K
Input $ / M tokens	$0.017	$0.04
Output $ / M tokens	$0.11	$2.30
Results tracked	8	31

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding Not comparable

Granite 4.0 Micro: —, Qwen3.8 27B: 50.5 (#44)

Coding benchmarks
Benchmark	Granite 4.0 Micro	Qwen3.8 27B
LMArena WebDev	—	1593
SciCode	—	46.6%
LMArena Coding	—	1482

Agentic & Tool Use Not comparable

Granite 4.0 Micro: —, Qwen3.8 27B: 32.9 (#57)

Agentic & Tool Use benchmarks
Benchmark	Granite 4.0 Micro	Qwen3.8 27B
APEX-Agents	—	47.5%

Reasoning Qwen3.8 27B leads

Granite 4.0 Micro: 19.2 (#265), Qwen3.8 27B: 41.0 (#54)

Reasoning benchmarks
Benchmark	Granite 4.0 Micro	Qwen3.8 27B
ARC-AGI-2	—	42.4%
NYT Connections (extended)	—	54.5%
ARC-AGI-1	—	87.5%
CritPt	—	5.4%
Chess Puzzles	0%	—
LMArena Hard Prompts	—	1460
DTBench	—	88%
LMCA	—	41.4%
Surface Evolver Bench	—	45%
Epoch Capabilities Index	—	149.38

Math Qwen3.8 27B leads

Granite 4.0 Micro: 12.0 (#307), Qwen3.8 27B: 37.1 (#161)

Math benchmarks
Benchmark	Granite 4.0 Micro	Qwen3.8 27B
OTIS Mock AIME 2024-2025	2.8%	—
ProofBench	—	16%
Omni-MATH	20.9%	—
LMArena Math	—	1456

Knowledge Qwen3.8 27B leads

Granite 4.0 Micro: 9.9 (#304), Qwen3.8 27B: 41.6 (#109)

Knowledge benchmarks
Benchmark	Granite 4.0 Micro	Qwen3.8 27B
GPQA Diamond	28.3%	—
MMLU-Pro	39.5%	—
GPQA (HELM)	30.7%	—
LMArena Expert	—	1482

Multimodal Not comparable

Granite 4.0 Micro: —, Qwen3.8 27B: 41.3 (#37)

Multimodal benchmarks
Benchmark	Granite 4.0 Micro	Qwen3.8 27B
LMArena Vision	—	1271

Multilingual Not comparable

Granite 4.0 Micro: —, Qwen3.8 27B: 53.7 (#60)

Multilingual benchmarks
Benchmark	Granite 4.0 Micro	Qwen3.8 27B
LMArena Non-English	—	1430
LMArena Chinese	—	1504
LMArena French	—	1465
LMArena German	—	1438
LMArena Japanese	—	1384
LMArena Korean	—	1393
LMArena Russian	—	1415
LMArena Spanish	—	1448

Instruction Following Qwen3.8 27B leads

Granite 4.0 Micro: 69.9 (#169), Qwen3.8 27B: 75.8 (#53)

Instruction Following benchmarks
Benchmark	Granite 4.0 Micro	Qwen3.8 27B
IFEval	84.9%	—
LMArena Instruction Following	—	1439

Long Context Not comparable

Granite 4.0 Micro: —, Qwen3.8 27B: 44.3 (#70)

Long Context benchmarks
Benchmark	Granite 4.0 Micro	Qwen3.8 27B
LMArena Longer Query	—	1450

Writing & Preference Qwen3.8 27B leads

Granite 4.0 Micro: 46.7 (#216), Qwen3.8 27B: 65.8 (#43)

Writing & Preference benchmarks
Benchmark	Granite 4.0 Micro	Qwen3.8 27B
LMArena Text	—	1441
LMArena Creative Writing	—	1384
EQ-Bench Creative Writing	—	1671
WildBench	67%	—
LMArena Multi-Turn	—	1441

Frequently asked questions

Is Granite 4.0 Micro better than Qwen3.8 27B?

Which is cheaper, Granite 4.0 Micro or Qwen3.8 27B?

Granite 4.0 Micro is cheaper. It lists at $0.017 per million input tokens and $0.11 per million output tokens; Qwen3.8 27B lists at $0.04 and $2.30.

Which has the bigger context window?

Qwen3.8 27B does, with 262K tokens against 131K.

How many benchmarks do Granite 4.0 Micro and Qwen3.8 27B share?

0 benchmarks have published results for both models. Granite 4.0 Micro has 8 scored results on Noometry and Qwen3.8 27B has 31.