Model comparison

DeepSeek-V3.1-Terminus vs Solar Pro4

DeepSeek-V3.1-Terminus is the stronger model overall, scoring 43.1 to 42.1 on the Noometry Index.

Last verified . 10 shared benchmarks.

DeepSeek-V3.1-Terminus DeepSeek

43.1

Rank #97 Confirmed

Solar Pro4 Upstage

42.1

Rank #121 Confirmed

Summary

  • They share 10 benchmarks with published results for both. DeepSeek-V3.1-Terminus scores higher in 5 categories and Solar Pro4 in 2 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where DeepSeek-V3.1-Terminus leads 61.0 to 56.5.
  • DeepSeek-V3.1-Terminus is cheaper at $0.27 / $1 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-Terminus has downloadable open weights; the other is API-only.

Side by side

DeepSeek-V3.1-Terminus and Solar Pro4 specifications
DeepSeek-V3.1-TerminusSolar Pro4
ProviderDeepSeekUpstage
Noometry Index43.142.1
Released2025-09-222026-08-06
WeightsOpenProprietary
Context window164K524K
Max output147K131K
Input $ / M tokens$0.27$0.30
Output $ / M tokens$1$1.20
Results tracked1618

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Category by category

Coding DeepSeek-V3.1-Terminus leads

DeepSeek-V3.1-Terminus: 42.0 (#113), Solar Pro4: 40.1 (#149)

Coding benchmarks
BenchmarkDeepSeek-V3.1-TerminusSolar Pro4
LMArena Coding14261437
LMArena WebDev—1371
SciCode40.6%—
ALE-Bench745.17—

Reasoning Solar Pro4 leads

DeepSeek-V3.1-Terminus: 26.4 (#133), Solar Pro4: 28.5 (#104)

Reasoning benchmarks
BenchmarkDeepSeek-V3.1-TerminusSolar Pro4
LMArena Hard Prompts14261399
Kagi LLM Benchmark57.4%—
CritPt1.7%—
DTBench81.3%—
LMCA28.6%—

Math Too close to call

DeepSeek-V3.1-Terminus: 38.5 (#137), Solar Pro4: 38.8 (#128)

Math benchmarks
BenchmarkDeepSeek-V3.1-TerminusSolar Pro4
LMArena Math14021416

Knowledge Not comparable

DeepSeek-V3.1-Terminus: —, Solar Pro4: 39.8 (#129)

Knowledge benchmarks
BenchmarkDeepSeek-V3.1-TerminusSolar Pro4
LMArena Expert—1427

Multilingual DeepSeek-V3.1-Terminus leads

DeepSeek-V3.1-Terminus: 52.1 (#92), Solar Pro4: 48.7 (#139)

Multilingual benchmarks
BenchmarkDeepSeek-V3.1-TerminusSolar Pro4
LMArena Non-English14071361
LMArena Russian14361360
LMArena Chinese—1415
LMArena French—1397
LMArena German—1364
LMArena Japanese—1309
LMArena Korean—1382
LMArena Spanish—1401

Instruction Following DeepSeek-V3.1-Terminus leads

DeepSeek-V3.1-Terminus: 74.0 (#106), Solar Pro4: 72.7 (#132)

Instruction Following benchmarks
BenchmarkDeepSeek-V3.1-TerminusSolar Pro4
LMArena Instruction Following14041377

Long Context DeepSeek-V3.1-Terminus leads

DeepSeek-V3.1-Terminus: 43.4 (#97), Solar Pro4: 42.1 (#130)

Long Context benchmarks
BenchmarkDeepSeek-V3.1-TerminusSolar Pro4
LMArena Longer Query14211381

Writing & Preference DeepSeek-V3.1-Terminus leads

DeepSeek-V3.1-Terminus: 61.0 (#92), Solar Pro4: 56.5 (#138)

Writing & Preference benchmarks
BenchmarkDeepSeek-V3.1-TerminusSolar Pro4
LMArena Text14191386
LMArena Creative Writing14031316
LMArena Multi-Turn14111385

Frequently asked questions

Is DeepSeek-V3.1-Terminus better than Solar Pro4?

DeepSeek-V3.1-Terminus is the stronger model overall, scoring 43.1 to 42.1 on the Noometry Index.

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

DeepSeek-V3.1-Terminus is cheaper. It lists at $0.27 per million input tokens and $1 per million output tokens; Solar Pro4 lists at $0.30 and $1.20.

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

DeepSeek-V3.1-Terminus scores higher on coding benchmarks: 42.0 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-V3.1-Terminus and Solar Pro4 share?

10 benchmarks have published results for both models. DeepSeek-V3.1-Terminus has 16 scored results on Noometry and Solar Pro4 has 18.

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