Model comparison

DeepSeek-V3 vs Granite 4.0 Micro

DeepSeek-V3 is the stronger model overall, scoring 39.5 to 29.0 on the Noometry Index. Granite 4.0 Micro costs 9.9× less per token, which makes it the better buy when DeepSeek-V3's lead doesn't matter for your workload.

Last verified October 11, 2026. 7 shared benchmarks.

DeepSeek-V3

DeepSeek

39.5

Rank #166 Confirmed

Granite 4.0 Micro IBM

29.0

Rank #318 Confirmed

Summary

They share 7 benchmarks with published results for both. DeepSeek-V3 scores higher in 5 categories and Granite 4.0 Micro in 0 categories; 5 gaps are clear of the uncertainty.
The widest gap is in knowledge, where DeepSeek-V3 leads 37.5 to 9.9.
The biggest single-benchmark swing is GPQA Diamond: 67.6% for DeepSeek-V3 and 28.3% for Granite 4.0 Micro.
Granite 4.0 Micro is cheaper at $0.017 / $0.11 per million input/output tokens, against $0.24 / $0.90 for DeepSeek-V3.
DeepSeek-V3 accepts more context: 164K tokens versus 131K.

Side by side

DeepSeek-V3 and Granite 4.0 Micro specifications
	DeepSeek-V3	Granite 4.0 Micro
Provider	DeepSeek	IBM
Noometry Index	39.5	29.0
Released	2024-12-26	2025-10-02
Weights	Open	Open
Context window	164K	131K
Max output	164K	118K
Input $ / M tokens	$0.24	$0.017
Output $ / M tokens	$0.90	$0.11
Results tracked	60	8

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Category by category

Coding Not comparable

DeepSeek-V3: 42.3 (#106), Granite 4.0 Micro: —

Coding benchmarks
Benchmark	DeepSeek-V3	Granite 4.0 Micro
Aider Polyglot	55.1%	—
SciCode	35.8%	—
WeirdML	36.1%	—
BigCodeBench Instruct	50%	—
LiveBench Coding	70.9%	—
LMArena Coding	1368	—
BigCodeBench Complete	62.2%	—
HumanEval+	86.6%	—
MBPP+	73%	—

Agentic & Tool Use Not comparable

DeepSeek-V3: —, Granite 4.0 Micro: —

Agentic & Tool Use benchmarks
Benchmark	DeepSeek-V3	Granite 4.0 Micro
METR Time Horizons	49.6%	—

Reasoning DeepSeek-V3 leads

DeepSeek-V3: 20.5 (#236), Granite 4.0 Micro: 19.2 (#265)

Reasoning benchmarks
Benchmark	DeepSeek-V3	Granite 4.0 Micro
SimpleBench	27.2%	—
Kagi LLM Benchmark	52.3%	—
CritPt	0%	—
Chess Puzzles	—	0%
LiveBench Reasoning	65.8%	—
LMArena Hard Prompts	1365	—
DTBench	64.8%	—
LiveBench Data Analysis	60.9%	—
LMCA	15.5%	—
BIG-Bench Hard	87.5%	—
Epoch Capabilities Index	135.94	—
ForecastBench	59.1	—
HellaSwag	88.9%	—
LiveBench	66.9%	—
PIQA	84.7%	—
WinoGrande	85.2%	—

Math DeepSeek-V3 leads

DeepSeek-V3: 32.1 (#219), Granite 4.0 Micro: 12.0 (#307)

Math benchmarks
Benchmark	DeepSeek-V3	Granite 4.0 Micro
OTIS Mock AIME 2024-2025	37.8%	2.8%
Omni-MATH	40.3%	20.9%
LiveBench Math	73.5%	—
LMArena Math	1373	—
MATH Level 5	75.5%	—
FrontierMath (Feb 2025 set)	1.7%	—

Knowledge DeepSeek-V3 leads

DeepSeek-V3: 37.5 (#155), Granite 4.0 Micro: 9.9 (#304)

Knowledge benchmarks
Benchmark	DeepSeek-V3	Granite 4.0 Micro
GPQA Diamond	67.6%	28.3%
MMLU-Pro	72.3%	39.5%
GPQA (HELM)	53.8%	30.7%
Confabulations	26.1%	—
Vectara Hallucination Rate	6.1%	—
LMArena Expert	1351	—
ARC (AI2) Challenge	95.3%	—
MMLU	87.2%	—
TriviaQA	82.9%	—

Multilingual Not comparable

DeepSeek-V3: 48.5 (#143), Granite 4.0 Micro: —

Multilingual benchmarks
Benchmark	DeepSeek-V3	Granite 4.0 Micro
LMArena Non-English	1358	—
LMArena Chinese	1391	—
LMArena French	1385	—
LMArena German	1374	—
LMArena Japanese	1333	—
LMArena Korean	1319	—
LMArena Russian	1373	—
LMArena Spanish	1358	—

Instruction Following DeepSeek-V3 leads

DeepSeek-V3: 72.8 (#130), Granite 4.0 Micro: 69.9 (#169)

Instruction Following benchmarks
Benchmark	DeepSeek-V3	Granite 4.0 Micro
IFEval	83.2%	84.9%
LiveBench Instruction Following	81.5%	—
LMArena Instruction Following	1345	—

Long Context Not comparable

DeepSeek-V3: 34.0 (#253), Granite 4.0 Micro: —

Long Context benchmarks
Benchmark	DeepSeek-V3	Granite 4.0 Micro
Fiction.LiveBench	50%	—
LMArena Longer Query	1352	—

Writing & Preference DeepSeek-V3 leads

DeepSeek-V3: 57.4 (#130), Granite 4.0 Micro: 46.7 (#216)

Writing & Preference benchmarks
Benchmark	DeepSeek-V3	Granite 4.0 Micro
WildBench	83%	67%
LMArena Text	1375	—
LMArena Creative Writing	1364	—
Short-Story Creative Writing	77%	—
EQ-Bench Creative Writing	1472	—
LMArena Multi-Turn	1389	—
LiveBench Language	49.1%	—

Frequently asked questions

Is DeepSeek-V3 better than Granite 4.0 Micro?

Which is cheaper, DeepSeek-V3 or Granite 4.0 Micro?

Granite 4.0 Micro is cheaper. It lists at $0.017 per million input tokens and $0.11 per million output tokens; DeepSeek-V3 lists at $0.24 and $0.90.

Which has the bigger context window?

DeepSeek-V3 does, with 164K tokens against 131K.

How many benchmarks do DeepSeek-V3 and Granite 4.0 Micro share?

7 benchmarks have published results for both models. DeepSeek-V3 has 60 scored results on Noometry and Granite 4.0 Micro has 8.