Model comparison

DeepSeek-V3.2-Exp vs Solar Pro4

DeepSeek-V3.2-Exp is the stronger model overall, scoring 44.3 to 42.1 on the Noometry Index.

Last verified October 10, 2026. 18 shared benchmarks.

DeepSeek-V3.2-Exp

DeepSeek

44.3

Rank #78 Confirmed

Solar Pro4

Upstage

42.1

Rank #121 Confirmed

Summary

They share 18 benchmarks with published results for both. DeepSeek-V3.2-Exp scores higher in 7 categories and Solar Pro4 in 1 category; 8 gaps are clear of the uncertainty.
The widest gap is in knowledge, where DeepSeek-V3.2-Exp leads 51.7 to 39.8.
DeepSeek-V3.2-Exp is cheaper at $0.26 / $0.38 per million input/output tokens, against $0.30 / $1.20 for Solar Pro4.
Solar Pro4 accepts more context: 524K tokens versus 164K.
DeepSeek-V3.2-Exp has downloadable open weights; the other is API-only.

Side by side

DeepSeek-V3.2-Exp and Solar Pro4 specifications
	DeepSeek-V3.2-Exp	Solar Pro4
Provider	DeepSeek	Upstage
Noometry Index	44.3	42.1
Released	2025-09-29	2026-08-06
Weights	Open	Proprietary
Context window	164K	524K
Max output	66K	131K
Input $ / M tokens	$0.26	$0.30
Output $ / M tokens	$0.38	$1.20
Results tracked	49	18

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Category by category

Coding DeepSeek-V3.2-Exp leads

DeepSeek-V3.2-Exp: 46.5 (#65), Solar Pro4: 40.1 (#149)

Coding benchmarks
Benchmark	DeepSeek-V3.2-Exp	Solar Pro4
LMArena WebDev	1362	1371
LMArena Coding	1454	1437
SWE-bench Verified (bash only)	70%	—
Aider Polyglot	74.2%	—
SWE-bench Multilingual	59%	—
SciCode	38.9%	—
WeirdML	39.5%	—

Agentic & Tool Use Not comparable

DeepSeek-V3.2-Exp: 32.7 (#59), Solar Pro4: —

Agentic & Tool Use benchmarks
Benchmark	DeepSeek-V3.2-Exp	Solar Pro4
Terminal-Bench	39.6%	—
APEX-Agents	21.3%	—
Berkeley Function Calling Leaderboard	56.7%	—
TheAgentCompany	42.9%	—
Vending-Bench 2	1,034	—

Reasoning Solar Pro4 leads

DeepSeek-V3.2-Exp: 22.1 (#208), Solar Pro4: 28.5 (#104)

Reasoning benchmarks
Benchmark	DeepSeek-V3.2-Exp	Solar Pro4
LMArena Hard Prompts	1434	1399
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 DeepSeek-V3.2-Exp leads

DeepSeek-V3.2-Exp: 41.7 (#87), Solar Pro4: 38.8 (#128)

Math benchmarks
Benchmark	DeepSeek-V3.2-Exp	Solar Pro4
LMArena Math	1435	1416
MathArena Final-Answer Competitions	57.7%	—
OTIS Mock AIME 2024-2025	87.8%	—
ProofBench	8%	—
FrontierMath (Feb 2025 set)	22.1%	—
FrontierMath Tier 4 (v1)	2.1%	—

Knowledge DeepSeek-V3.2-Exp leads

DeepSeek-V3.2-Exp: 51.7 (#66), Solar Pro4: 39.8 (#129)

Knowledge benchmarks
Benchmark	DeepSeek-V3.2-Exp	Solar Pro4
LMArena Expert	1436	1427
GPQA Diamond	83.4%	—
Vectara Hallucination Rate	5.3%	—

Multilingual DeepSeek-V3.2-Exp leads

DeepSeek-V3.2-Exp: 52.2 (#90), Solar Pro4: 48.7 (#139)

Multilingual benchmarks
Benchmark	DeepSeek-V3.2-Exp	Solar Pro4
LMArena Non-English	1409	1361
LMArena Chinese	1461	1415
LMArena French	1433	1397
LMArena German	1440	1364
LMArena Japanese	1374	1309
LMArena Korean	1371	1382
LMArena Russian	1424	1360
LMArena Spanish	1440	1401

Instruction Following DeepSeek-V3.2-Exp leads

DeepSeek-V3.2-Exp: 74.5 (#93), Solar Pro4: 72.7 (#132)

Instruction Following benchmarks
Benchmark	DeepSeek-V3.2-Exp	Solar Pro4
LMArena Instruction Following	1413	1377

Long Context DeepSeek-V3.2-Exp leads

DeepSeek-V3.2-Exp: 47.6 (#16), Solar Pro4: 42.1 (#130)

Long Context benchmarks
Benchmark	DeepSeek-V3.2-Exp	Solar Pro4
LMArena Longer Query	1428	1381
Fiction.LiveBench	83.3%	—
CL-bench	13.2%	—
CL-bench Life	9.5%	—

Writing & Preference DeepSeek-V3.2-Exp leads

DeepSeek-V3.2-Exp: 62.4 (#77), Solar Pro4: 56.5 (#138)

Writing & Preference benchmarks
Benchmark	DeepSeek-V3.2-Exp	Solar Pro4
LMArena Text	1425	1386
LMArena Creative Writing	1403	1316
LMArena Multi-Turn	1427	1385
EQ-Bench Creative Writing	1515	—

Frequently asked questions

Is DeepSeek-V3.2-Exp better than Solar Pro4?

DeepSeek-V3.2-Exp is the stronger model overall, scoring 44.3 to 42.1 on the Noometry Index.

Which is cheaper, DeepSeek-V3.2-Exp or Solar Pro4?

DeepSeek-V3.2-Exp is cheaper. It lists at $0.26 per million input tokens and $0.38 per million output tokens; Solar Pro4 lists at $0.30 and $1.20.

Is DeepSeek-V3.2-Exp or Solar Pro4 better for coding?

DeepSeek-V3.2-Exp scores higher on coding benchmarks: 46.5 versus 40.1 in the Noometry coding category.

Which has the bigger context window?

Solar Pro4 does, with 524K tokens against 164K.

How many benchmarks do DeepSeek-V3.2-Exp and Solar Pro4 share?

18 benchmarks have published results for both models. DeepSeek-V3.2-Exp has 49 scored results on Noometry and Solar Pro4 has 18.