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DeepSeek V3.2 vs Solar Pro 4

Solar Pro 4 leads DeepSeek V3.2 on the Artificial Analysis Intelligence Index, 28.2 to 21.5, and Solar Pro 4 costs 1.5x less per output token ($0.60 vs $0.88 per million). Updated October 21, 2026; 42 benchmarks have a result for both.

Replace DeepSeek V3.2 Replace Solar Pro 4
DeepSeek V3.2DeepSeek
Coding
30.0
Overall
37.9
Output $/M
$0.88
28
Solar Pro 4Upstage
Coding
No data
Overall
No data
Output $/M
$0.60
14
vs boards won of 42 shared

DeepSeek V3.2 or Solar Pro 4: which to pick

Only DeepSeek V3.2 has a coding score, 30.0 on the Vibe Coding Index; Solar Pro 4 has none, so the two cannot be ranked on coding.

Pick Solar Pro 4 for output tokens 1.5x cheaper ($0.60 vs $0.88 per million) and a larger context window (524K against 164K tokens).

Model ADeepSeek V3.2DeepSeek30.0/1003 independent benchmarks$0.99 per solved taskModel BSolar Pro 4UpstageNot benchmarked1 independent benchmarkNo cost per solved task
Shared results
42
DeepSeek V3.2 only
33
Solar Pro 4 only
3
Like-for-like categories
7 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
DeepSeek V3.2 30.0 from 3 benchmarks, Solar Pro 4 not benchmarked.
Widest category
General, 7.8 points apart on average over 18 shared benchmarks.
Widest single gap
LMArena Text: Polish: DeepSeek V3.2 1419 against Solar Pro 4 1304, 19.1 points apart on a 0 to 100 scale.
Output price
DeepSeek V3.2 $0.88 against Solar Pro 4 $0.60 per million output tokens, 1.5x apart.
Context window
DeepSeek V3.2 takes 164K tokens, Solar Pro 4 524K.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryDeepSeek V3.2BarsSolar Pro 4Ties
Coding24
Intelligence01
Reasoning32
Math20
Knowledge40
Web design06
General171
All shared boards2814
CodingLike-for-likeSix of these boards feed the Vibe Coding Index24
Coding benchmarks for DeepSeek V3.2 and Solar Pro 4
BenchmarkDeepSeek V3.2Solar Pro 4Leader
SWE-bench Verified70.0%Not measuredOnly DeepSeek V3.2 measured
SWE-bench Multilingual59.0%Not measuredOnly DeepSeek V3.2 measured
LMArena WebDev13621371Solar Pro 4
AA Coding Index44.252.7Solar Pro 4
LiveCodeBench (Vals AI)80.7%Not measuredOnly DeepSeek V3.2 measured
SWE-bench Verified (Vals AI)67.6%Not measuredOnly DeepSeek V3.2 measured
Vibe Code Bench (Vals AI)5.1%Not measuredOnly DeepSeek V3.2 measured
LiveCodeBench (Artificial Analysis run)86.2%Not measuredOnly DeepSeek V3.2 measured
SciCodeNot measured48.0%Only Solar Pro 4 measured
Terminal-Bench Hard (Artificial Analysis run)35.6%Not measuredOnly DeepSeek V3.2 measured
Terminal-Bench39.6%Not measuredOnly DeepSeek V3.2 measured
ALE-BenchNot measured179.3Only Solar Pro 4 measured
LMArena Text: coding14531438DeepSeek V3.2
LMArena Text: software and IT14491431DeepSeek V3.2
LMArena WebDev: React13501363Solar Pro 4
LMArena WebDev: HTML13711371Solar Pro 4
Neither model has a result on the other 23 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for DeepSeek V3.2 and Solar Pro 4
BenchmarkDeepSeek V3.2Solar Pro 4Leader
AA Intelligence Index21.528.2Solar Pro 4
Epoch Capabilities Index146.1Not measuredOnly DeepSeek V3.2 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
Agentic work benchmarks for DeepSeek V3.2 and Solar Pro 4
BenchmarkDeepSeek V3.2Solar Pro 4Leader
Design Arena: agents building web appsNot measured1105Only Solar Pro 4 measured
τ²-Bench Telecom90.6%Not measuredOnly DeepSeek V3.2 measured
APEX-Agents21.3%Not measuredOnly DeepSeek V3.2 measured
Vending-Bench 2$1,034Not measuredOnly DeepSeek V3.2 measured
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index32
Reasoning benchmarks for DeepSeek V3.2 and Solar Pro 4
BenchmarkDeepSeek V3.2Solar Pro 4Leader
GPQA Diamond80.3%Not measuredOnly DeepSeek V3.2 measured
GPQA Diamond (Artificial Analysis run)84.0%89.1%Solar Pro 4
Humanity's Last Exam (Artificial Analysis run)24.6%29.8%Solar Pro 4
ARC-AGI57.0%Not measuredOnly DeepSeek V3.2 measured
ARC-AGI-24.0%Not measuredOnly DeepSeek V3.2 measured
LMArena Text: hard prompts14341400DeepSeek V3.2
LMArena Text: expert14361428DeepSeek V3.2
LMArena Text: hard prompts in English14461427DeepSeek V3.2
Neither model has a result on the other 14 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for DeepSeek V3.2 and Solar Pro 4
BenchmarkDeepSeek V3.2Solar Pro 4Leader
AIME84.6%Not measuredOnly DeepSeek V3.2 measured
MGSM (Vals AI)86.0%Not measuredOnly DeepSeek V3.2 measured
AA Math Index92.0Not measuredOnly DeepSeek V3.2 measured
AIME 2025 (Artificial Analysis run)92.0%Not measuredOnly DeepSeek V3.2 measured
LMArena Text: math14351421DeepSeek V3.2
LMArena Text: mathematical work14401427DeepSeek V3.2
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for DeepSeek V3.2 and Solar Pro 4
BenchmarkDeepSeek V3.2Solar Pro 4Leader
MMLU Pro84.9%Not measuredOnly DeepSeek V3.2 measured
LegalBench (Vals AI)76.1%Not measuredOnly DeepSeek V3.2 measured
CaseLaw (Vals AI)55.4%Not measuredOnly DeepSeek V3.2 measured
CorpFin (Vals AI)51.0%Not measuredOnly DeepSeek V3.2 measured
TaxEval (Vals AI)68.2%Not measuredOnly DeepSeek V3.2 measured
MedQA (Vals AI)93.9%Not measuredOnly DeepSeek V3.2 measured
MMLU Pro (Artificial Analysis run)86.2%Not measuredOnly DeepSeek V3.2 measured
LMArena Text: science14461404DeepSeek V3.2
LMArena Text: medicine and healthcare14401374DeepSeek V3.2
LMArena Text: legal and government14251383DeepSeek V3.2
LMArena Text: business and finance14101381DeepSeek V3.2
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index06
Web design benchmarks for DeepSeek V3.2 and Solar Pro 4
BenchmarkDeepSeek V3.2Solar Pro 4Leader
Design Arena: websites11751176Solar Pro 4
Design Arena: UI components11491150Solar Pro 4
Design Arena: game dev11321170Solar Pro 4
Design Arena: data viz11581177Solar Pro 4
Design Arena: 3D11331178Solar Pro 4
Design Arena: all code categories11641182Solar Pro 4
Design Arena: SVG1032Not measuredOnly DeepSeek V3.2 measured
Design Arena: ASCII art1083Not measuredOnly DeepSeek V3.2 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index171
General benchmarks for DeepSeek V3.2 and Solar Pro 4
BenchmarkDeepSeek V3.2Solar Pro 4Leader
IFBench60.7%Not measuredOnly DeepSeek V3.2 measured
Long context reasoning (AA-LCR)73.3%70.7%DeepSeek V3.2
DTBench85.6%Not measuredOnly DeepSeek V3.2 measured
LMCA28.8%Not measuredOnly DeepSeek V3.2 measured
CL-bench12.4%Not measuredOnly DeepSeek V3.2 measured
CL-bench Life7.4%Not measuredOnly DeepSeek V3.2 measured
LMArena Text14251388DeepSeek V3.2
LMArena Text: instruction following14131375DeepSeek V3.2
LMArena Text: creative writing14001317DeepSeek V3.2
LMArena Text: English14391414DeepSeek V3.2
LMArena Text: non-English14091363DeepSeek V3.2
LMArena Text: Chinese14551422DeepSeek V3.2
LMArena Text: German14131358DeepSeek V3.2
LMArena Text: Japanese13741320DeepSeek V3.2
LMArena Text: Korean13701383Solar Pro 4
LMArena Text: French14291400DeepSeek V3.2
LMArena Text: Spanish14241409DeepSeek V3.2
LMArena Text: Russian14241357DeepSeek V3.2
LMArena Text: Polish14191304DeepSeek V3.2
LMArena Text: multi-turn14271385DeepSeek V3.2
LMArena Text: longer queries14281382DeepSeek V3.2
LMArena Text: writing and language14071344DeepSeek V3.2
LMArena Text: entertainment and media13951332DeepSeek V3.2
Neither model has a result on the other 23 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for DeepSeek V3.2 and Solar Pro 4
BenchmarkDeepSeek V3.2Solar Pro 4Leader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

DeepSeek V3.2$0.0007Fits in one request
Solar Pro 4$0.0004Fits in one request

Solar Pro 4 costs less

Repository review

50K input + 3K output tokens

DeepSeek V3.2$0.017Fits in one request
Solar Pro 4$0.0093Fits in one request

Solar Pro 4 costs less

Agent loop

200K input + 10K output tokens

DeepSeek V3.2$0.067Exceeds the context window
Solar Pro 4$0.036Fits in one request

Solar Pro 4 costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of DeepSeek V3.2 and Solar Pro 4
SpecificationDeepSeek V3.2Upstage Solar Pro 4
MakerDeepSeekUpstage
WeightsOpen weightsNo public weights listed
ReleasedDecember 1, 2025August 10, 2026
Context window164K524K
Input $/Mtok$0.29$0.15
Output $/Mtok$0.88$0.60
Coding index30.0Not benchmarked
Independent measurements behind it31
Cost per solved task$0.99Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V3.2 better than Solar Pro 4 for coding?

Only DeepSeek V3.2 has a coding score, 30.0 on the Vibe Coding Index; Solar Pro 4 has none, so the two cannot be ranked on coding. Pick Solar Pro 4 for output tokens 1.5x cheaper ($0.60 vs $0.88 per million) and a larger context window (524K against 164K tokens).

Which is cheaper, DeepSeek V3.2 or Solar Pro 4?

DeepSeek V3.2 costs $0.29 per million input tokens and $0.88 per million output tokens; Solar Pro 4 costs $0.15 and $0.60. Cost per solved task is known for DeepSeek V3.2 only.

Which has the bigger context window, DeepSeek V3.2 or Solar Pro 4?

Solar Pro 4, with 524K tokens against 164K.

How many benchmarks is the DeepSeek V3.2 vs Solar Pro 4 comparison based on?

42 benchmarks have a result for both models as of October 21, 2026. DeepSeek V3.2's coding index rests on 3 independent benchmarks and Solar Pro 4's on 1. Where only one model has a result, the page says so instead of naming a winner.

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