Model comparison

Granite 4.0 Micro vs Trinity Large Thinking

Trinity Large Thinking is the stronger model overall, scoring 38.6 to 29.0 on the Noometry Index. Granite 4.0 Micro costs 9.5× less per token, which makes it the better buy when Trinity Large Thinking's lead doesn't matter for your workload.

Last verified . 0 shared benchmarks.

Granite 4.0 Micro IBM

29.0

Rank #318 Confirmed

Trinity Large Thinking Arcee AI

38.6

Rank #185 Confirmed

Summary

  • The widest gap is in knowledge, where Trinity Large Thinking leads 40.9 to 9.9.
  • Granite 4.0 Micro is cheaper at $0.017 / $0.11 per million input/output tokens, against $0.25 / $0.80 for Trinity Large Thinking.
  • Trinity Large Thinking accepts more context: 262K tokens versus 131K.

Side by side

Granite 4.0 Micro and Trinity Large Thinking specifications
Granite 4.0 MicroTrinity Large Thinking
ProviderIBMArcee AI
Noometry Index29.038.6
Released2025-10-022026-04-01
WeightsOpenOpen
Context window131K262K
Max output118K80K
Input $ / M tokens$0.017$0.25
Output $ / M tokens$0.11$0.80
Results tracked824

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Category by category

Coding Not comparable

Granite 4.0 Micro: —, Trinity Large Thinking: 34.1 (#244)

Coding benchmarks
BenchmarkGranite 4.0 MicroTrinity Large Thinking
LMArena WebDev—1238
SciCode—36.1%
LMArena Coding—1381

Reasoning Granite 4.0 Micro leads

Granite 4.0 Micro: 19.2 (#265), Trinity Large Thinking: 16.9 (#298)

Reasoning benchmarks
BenchmarkGranite 4.0 MicroTrinity Large Thinking
NYT Connections (extended)—16.5%
CritPt—0.9%
Chess Puzzles0%—
Thematic Generalization—41.6%
LMArena Hard Prompts—1350
Surface Evolver Bench—15.6%

Math Trinity Large Thinking leads

Granite 4.0 Micro: 12.0 (#307), Trinity Large Thinking: 37.6 (#149)

Math benchmarks
BenchmarkGranite 4.0 MicroTrinity Large Thinking
OTIS Mock AIME 2024-20252.8%—
Omni-MATH20.9%—
LMArena Math—1366

Knowledge Trinity Large Thinking leads

Granite 4.0 Micro: 9.9 (#304), Trinity Large Thinking: 40.9 (#113)

Knowledge benchmarks
BenchmarkGranite 4.0 MicroTrinity Large Thinking
GPQA Diamond28.3%—
MMLU-Pro39.5%—
Vectara Hallucination Rate—6.9%
GPQA (HELM)30.7%—
LMArena Expert—1360

Multilingual Not comparable

Granite 4.0 Micro: —, Trinity Large Thinking: 46.2 (#160)

Multilingual benchmarks
BenchmarkGranite 4.0 MicroTrinity Large Thinking
LMArena Non-English—1325
LMArena Chinese—1373
LMArena French—1374
LMArena German—1356
LMArena Japanese—1311
LMArena Korean—1306
LMArena Russian—1337
LMArena Spanish—1357

Instruction Following Too close to call

Granite 4.0 Micro: 69.9 (#169), Trinity Large Thinking: 70.5 (#162)

Instruction Following benchmarks
BenchmarkGranite 4.0 MicroTrinity Large Thinking
IFEval84.9%—
LMArena Instruction Following—1334

Long Context Not comparable

Granite 4.0 Micro: —, Trinity Large Thinking: 41.3 (#144)

Long Context benchmarks
BenchmarkGranite 4.0 MicroTrinity Large Thinking
LMArena Longer Query—1355

Writing & Preference Trinity Large Thinking leads

Granite 4.0 Micro: 46.7 (#216), Trinity Large Thinking: 53.8 (#158)

Writing & Preference benchmarks
BenchmarkGranite 4.0 MicroTrinity Large Thinking
LMArena Text—1340
LMArena Creative Writing—1320
WildBench67%—
LMArena Multi-Turn—1342

Frequently asked questions

Is Granite 4.0 Micro better than Trinity Large Thinking?

Trinity Large Thinking is the stronger model overall, scoring 38.6 to 29.0 on the Noometry Index. Granite 4.0 Micro costs 9.5× less per token, which makes it the better buy when Trinity Large Thinking's lead doesn't matter for your workload.

Which is cheaper, Granite 4.0 Micro or Trinity Large Thinking?

Granite 4.0 Micro is cheaper. It lists at $0.017 per million input tokens and $0.11 per million output tokens; Trinity Large Thinking lists at $0.25 and $0.80.

Which has the bigger context window?

Trinity Large Thinking does, with 262K tokens against 131K.

How many benchmarks do Granite 4.0 Micro and Trinity Large Thinking share?

0 benchmarks have published results for both models. Granite 4.0 Micro has 8 scored results on Noometry and Trinity Large Thinking has 24.

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