Model comparison

Granite 3.0 2b Instruct vs Qwen3.8 Max

Qwen3.8 Max is the stronger model overall, scoring 56.8 to 30.8 on the Noometry Index.

Last verified . 12 shared benchmarks.

Granite 3.0 2b Instruct IBM

30.8

Rank #286 Confirmed

Qwen3.8 Max Alibaba (Qwen)

56.8

Rank #22 Confirmed

Summary

  • They share 12 benchmarks with published results for both. Granite 3.0 2b Instruct scores higher in 0 categories and Qwen3.8 Max in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where Qwen3.8 Max leads 73.2 to 32.2.
  • Granite 3.0 2b Instruct has downloadable open weights; the other is API-only.

Side by side

Granite 3.0 2b Instruct and Qwen3.8 Max specifications
Granite 3.0 2b InstructQwen3.8 Max
ProviderIBMAlibaba (Qwen)
Noometry Index30.856.8
Released—2026-08-02
WeightsOpenProprietary
Context window—1M
Max output—131K
Input $ / M tokens—$2
Output $ / M tokens—$6
Results tracked1339

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

Category by category

Coding Qwen3.8 Max leads

Granite 3.0 2b Instruct: 28.3 (#316), Qwen3.8 Max: 53.5 (#29)

Coding benchmarks
BenchmarkGranite 3.0 2b InstructQwen3.8 Max
LMArena Coding10901502
DeepSWE—57.5%
LMArena WebDev—1674
FrontierSWE—17.8%
SciCode—53.2%
BigCodeBench Instruct20.5%—

Agentic & Tool Use Not comparable

Granite 3.0 2b Instruct: —, Qwen3.8 Max: 45.4 (#14)

Agentic & Tool Use benchmarks
BenchmarkGranite 3.0 2b InstructQwen3.8 Max
APEX-Agents—63.3%
τ²-bench Banking—55.1%
GDP.pdf—23.2%

Reasoning Qwen3.8 Max leads

Granite 3.0 2b Instruct: 20.5 (#235), Qwen3.8 Max: 54.4 (#26)

Reasoning benchmarks
BenchmarkGranite 3.0 2b InstructQwen3.8 Max
LMArena Hard Prompts10731496
NYT Connections (extended)—88.3%
CritPt—20%
Chess Puzzles—40%
Mystery Game Puzzles—38%
DTBench—92%
LMCA—46.2%
Epoch Capabilities Index—156.41

Math Qwen3.8 Max leads

Granite 3.0 2b Instruct: 32.2 (#217), Qwen3.8 Max: 73.2 (#20)

Math benchmarks
BenchmarkGranite 3.0 2b InstructQwen3.8 Max
LMArena Math11171499
FrontierMath (Tiers 1-3)—74.7%
FrontierMath Tier 4—46.3%
OTIS Mock AIME 2024-2025—100%
ProofBench—58%

Knowledge Qwen3.8 Max leads

Granite 3.0 2b Instruct: 29.0 (#241), Qwen3.8 Max: 61.7 (#27)

Knowledge benchmarks
BenchmarkGranite 3.0 2b InstructQwen3.8 Max
LMArena Expert10641507
GPQA Diamond—92.7%
SimpleQA Verified—47.3%

Multimodal Not comparable

Granite 3.0 2b Instruct: —, Qwen3.8 Max: 37.2 (#75)

Multimodal benchmarks
BenchmarkGranite 3.0 2b InstructQwen3.8 Max
LMArena Vision—1314
Furniture Assembly—20%

Multilingual Qwen3.8 Max leads

Granite 3.0 2b Instruct: 27.0 (#278), Qwen3.8 Max: 56.7 (#18)

Multilingual benchmarks
BenchmarkGranite 3.0 2b InstructQwen3.8 Max
LMArena Non-English10331472
LMArena Chinese10701538
LMArena Russian10451481
LMArena French—1503
LMArena German—1483
LMArena Japanese—1467
LMArena Korean—1461
LMArena Spanish—1492

Instruction Following Qwen3.8 Max leads

Granite 3.0 2b Instruct: 53.9 (#284), Qwen3.8 Max: 77.6 (#17)

Instruction Following benchmarks
BenchmarkGranite 3.0 2b InstructQwen3.8 Max
LMArena Instruction Following10561479

Long Context Qwen3.8 Max leads

Granite 3.0 2b Instruct: 32.5 (#268), Qwen3.8 Max: 45.6 (#31)

Long Context benchmarks
BenchmarkGranite 3.0 2b InstructQwen3.8 Max
LMArena Longer Query10701489

Writing & Preference Qwen3.8 Max leads

Granite 3.0 2b Instruct: 29.6 (#292), Qwen3.8 Max: 67.1 (#30)

Writing & Preference benchmarks
BenchmarkGranite 3.0 2b InstructQwen3.8 Max
LMArena Text10801483
LMArena Creative Writing10461479
LMArena Multi-Turn10531489

Frequently asked questions

Is Granite 3.0 2b Instruct better than Qwen3.8 Max?

Qwen3.8 Max is the stronger model overall, scoring 56.8 to 30.8 on the Noometry Index.

Is Granite 3.0 2b Instruct or Qwen3.8 Max better for coding?

Qwen3.8 Max scores higher on coding benchmarks: 53.5 versus 28.3 in the Noometry coding category.

How many benchmarks do Granite 3.0 2b Instruct and Qwen3.8 Max share?

12 benchmarks have published results for both models. Granite 3.0 2b Instruct has 13 scored results on Noometry and Qwen3.8 Max has 39.

Related comparisons

Go deeper