Model comparison

DeepSeek-V3.1 vs Solar Pro4

DeepSeek-V3.1 and Solar Pro4 score almost the same on the Noometry Index (42.8 vs 42.1), so choose on price, context window or the category you care about most.

Last verified October 11, 2026. 17 shared benchmarks.

DeepSeek-V3.1

DeepSeek

42.8

Rank #108 Confirmed

Solar Pro4

Upstage

42.1

Rank #121 Confirmed

Summary

They share 17 benchmarks with published results for both. DeepSeek-V3.1 scores higher in 6 categories and Solar Pro4 in 2 categories; 5 gaps are clear of the uncertainty.
The widest gap is in long context, where Solar Pro4 leads 42.1 to 36.3.
DeepSeek-V3.1 is cheaper at $0.25 / $0.95 per million input/output tokens, against $0.30 / $1.20 for Solar Pro4.
Solar Pro4 accepts more context: 524K tokens versus 164K.
DeepSeek-V3.1 has downloadable open weights; the other is API-only.

Side by side

DeepSeek-V3.1 and Solar Pro4 specifications
	DeepSeek-V3.1	Solar Pro4
Provider	DeepSeek	Upstage
Noometry Index	42.8	42.1
Released	2025-08-21	2026-08-06
Weights	Open	Proprietary
Context window	164K	524K
Max output	8K	131K
Input $ / M tokens	$0.25	$0.30
Output $ / M tokens	$0.95	$1.20
Results tracked	27	18

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Category by category

Coding Too close to call

DeepSeek-V3.1: 40.3 (#144), Solar Pro4: 40.1 (#149)

Coding benchmarks
Benchmark	DeepSeek-V3.1	Solar Pro4
LMArena Coding	1417	1437
LMArena WebDev	—	1371
WeirdML	38.4%	—

Reasoning Too close to call

DeepSeek-V3.1: 27.9 (#110), Solar Pro4: 28.5 (#104)

Reasoning benchmarks
Benchmark	DeepSeek-V3.1	Solar Pro4
LMArena Hard Prompts	1417	1399
SimpleBench	40%	—
Kagi LLM Benchmark	53.2%	—
DTBench	82.7%	—
LMCA	24.3%	—
Epoch Capabilities Index	139.92	—
ForecastBench	58	—

Math Too close to call

DeepSeek-V3.1: 38.9 (#122), Solar Pro4: 38.8 (#128)

Math benchmarks
Benchmark	DeepSeek-V3.1	Solar Pro4
LMArena Math	1420	1416

Knowledge DeepSeek-V3.1 leads

DeepSeek-V3.1: 43.7 (#90), Solar Pro4: 39.8 (#129)

Knowledge benchmarks
Benchmark	DeepSeek-V3.1	Solar Pro4
LMArena Expert	1405	1427
Vectara Hallucination Rate	5.5%	—

Multilingual DeepSeek-V3.1 leads

DeepSeek-V3.1: 51.6 (#106), Solar Pro4: 48.7 (#139)

Multilingual benchmarks
Benchmark	DeepSeek-V3.1	Solar Pro4
LMArena Non-English	1400	1361
LMArena Chinese	1469	1415
LMArena French	1447	1397
LMArena German	1411	1364
LMArena Japanese	1378	1309
LMArena Korean	1337	1382
LMArena Russian	1405	1360
LMArena Spanish	1431	1401

Instruction Following DeepSeek-V3.1 leads

DeepSeek-V3.1: 73.9 (#110), Solar Pro4: 72.7 (#132)

Instruction Following benchmarks
Benchmark	DeepSeek-V3.1	Solar Pro4
LMArena Instruction Following	1400	1377

Long Context Solar Pro4 leads

DeepSeek-V3.1: 36.3 (#232), Solar Pro4: 42.1 (#130)

Long Context benchmarks
Benchmark	DeepSeek-V3.1	Solar Pro4
LMArena Longer Query	1422	1381
Fiction.LiveBench	52.8%	—

Writing & Preference DeepSeek-V3.1 leads

DeepSeek-V3.1: 60.3 (#98), Solar Pro4: 56.5 (#138)

Writing & Preference benchmarks
Benchmark	DeepSeek-V3.1	Solar Pro4
LMArena Text	1420	1386
LMArena Creative Writing	1401	1316
LMArena Multi-Turn	1408	1385
EQ-Bench Creative Writing	1436	—

Frequently asked questions

Is DeepSeek-V3.1 better than Solar Pro4?

DeepSeek-V3.1 and Solar Pro4 score almost the same on the Noometry Index (42.8 vs 42.1), so choose on price, context window or the category you care about most.

Which is cheaper, DeepSeek-V3.1 or Solar Pro4?

DeepSeek-V3.1 is cheaper. It lists at $0.25 per million input tokens and $0.95 per million output tokens; Solar Pro4 lists at $0.30 and $1.20.

Is DeepSeek-V3.1 or Solar Pro4 better for coding?

They score almost the same on coding (40.3 vs 40.1); test both on your own repository before choosing.

Which has the bigger context window?

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

How many benchmarks do DeepSeek-V3.1 and Solar Pro4 share?

17 benchmarks have published results for both models. DeepSeek-V3.1 has 27 scored results on Noometry and Solar Pro4 has 18.