Model comparison

DeepSeek-V3.2-Exp vs Molmo 2 8b

DeepSeek-V3.2-Exp is the stronger model overall, scoring 44.3 to 39.1 on the Noometry Index.

Last verified October 10, 2026. 4 shared benchmarks.

DeepSeek-V3.2-Exp

DeepSeek

44.3

Rank #78 Confirmed

Molmo 2 8b

Allen Institute for AI (Ai2)

39.1

Rank #174 Confirmed

Summary

They share 4 benchmarks with published results for both. DeepSeek-V3.2-Exp scores higher in 3 categories and Molmo 2 8b in 1 category; 4 gaps are clear of the uncertainty.
The widest gap is in writing & preference, where DeepSeek-V3.2-Exp leads 62.4 to 49.4.

Side by side

DeepSeek-V3.2-Exp and Molmo 2 8b specifications
	DeepSeek-V3.2-Exp	Molmo 2 8b
Provider	DeepSeek	Allen Institute for AI (Ai2)
Noometry Index	44.3	39.1
Released	2025-09-29	—
Weights	Open	Open
Context window	164K	—
Max output	66K	—
Input $ / M tokens	$0.26	—
Output $ / M tokens	$0.38	—
Results tracked	49	5

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Category by category

Coding Not comparable

DeepSeek-V3.2-Exp: 46.5 (#65), Molmo 2 8b: —

Coding benchmarks
Benchmark	DeepSeek-V3.2-Exp	Molmo 2 8b
SWE-bench Verified (bash only)	70%	—
Aider Polyglot	74.2%	—
LMArena WebDev	1362	—
SWE-bench Multilingual	59%	—
SciCode	38.9%	—
WeirdML	39.5%	—
LMArena Coding	1454	—

Agentic & Tool Use Not comparable

DeepSeek-V3.2-Exp: 32.7 (#59), Molmo 2 8b: —

Agentic & Tool Use benchmarks
Benchmark	DeepSeek-V3.2-Exp	Molmo 2 8b
Terminal-Bench	39.6%	—
APEX-Agents	21.3%	—
Berkeley Function Calling Leaderboard	56.7%	—
TheAgentCompany	42.9%	—
Vending-Bench 2	1,034	—

Reasoning Molmo 2 8b leads

DeepSeek-V3.2-Exp: 22.1 (#208), Molmo 2 8b: 25.6 (#146)

Reasoning benchmarks
Benchmark	DeepSeek-V3.2-Exp	Molmo 2 8b
LMArena Hard Prompts	1434	1287
ARC-AGI-2	4%	—
Kagi LLM Benchmark	52.2%	—
NYT Connections (extended)	36.7%	—
ARC-AGI-1	57%	—
CritPt	2.9%	—
Chess Puzzles	14%	—
Thematic Generalization	65%	—
DTBench	87.7%	—
LMCA	29.1%	—
Epoch Capabilities Index	146.27	—

Math Not comparable

DeepSeek-V3.2-Exp: 41.7 (#87), Molmo 2 8b: —

Math benchmarks
Benchmark	DeepSeek-V3.2-Exp	Molmo 2 8b
MathArena Final-Answer Competitions	57.7%	—
OTIS Mock AIME 2024-2025	87.8%	—
ProofBench	8%	—
LMArena Math	1435	—
FrontierMath (Feb 2025 set)	22.1%	—
FrontierMath Tier 4 (v1)	2.1%	—

Knowledge Not comparable

DeepSeek-V3.2-Exp: 51.7 (#66), Molmo 2 8b: —

Knowledge benchmarks
Benchmark	DeepSeek-V3.2-Exp	Molmo 2 8b
GPQA Diamond	83.4%	—
Vectara Hallucination Rate	5.3%	—
LMArena Expert	1436	—

Multimodal Not comparable

DeepSeek-V3.2-Exp: —, Molmo 2 8b: 30.2 (#112)

Multimodal benchmarks
Benchmark	DeepSeek-V3.2-Exp	Molmo 2 8b
LMArena Vision	—	1081

Multilingual DeepSeek-V3.2-Exp leads

DeepSeek-V3.2-Exp: 52.2 (#90), Molmo 2 8b: 42.7 (#190)

Multilingual benchmarks
Benchmark	DeepSeek-V3.2-Exp	Molmo 2 8b
LMArena Non-English	1409	1276
LMArena Chinese	1461	—
LMArena French	1433	—
LMArena German	1440	—
LMArena Japanese	1374	—
LMArena Korean	1371	—
LMArena Russian	1424	—
LMArena Spanish	1440	—

Instruction Following DeepSeek-V3.2-Exp leads

DeepSeek-V3.2-Exp: 74.5 (#93), Molmo 2 8b: 67.0 (#201)

Instruction Following benchmarks
Benchmark	DeepSeek-V3.2-Exp	Molmo 2 8b
LMArena Instruction Following	1413	1270

Long Context Not comparable

DeepSeek-V3.2-Exp: 47.6 (#16), Molmo 2 8b: —

Long Context benchmarks
Benchmark	DeepSeek-V3.2-Exp	Molmo 2 8b
Fiction.LiveBench	83.3%	—
CL-bench	13.2%	—
CL-bench Life	9.5%	—
LMArena Longer Query	1428	—

Writing & Preference DeepSeek-V3.2-Exp leads

DeepSeek-V3.2-Exp: 62.4 (#77), Molmo 2 8b: 49.4 (#191)

Writing & Preference benchmarks
Benchmark	DeepSeek-V3.2-Exp	Molmo 2 8b
LMArena Text	1425	1288
LMArena Creative Writing	1403	—
EQ-Bench Creative Writing	1515	—
LMArena Multi-Turn	1427	—

Frequently asked questions

Is DeepSeek-V3.2-Exp better than Molmo 2 8b?