Model comparison

DeepSeek-V3.1-Terminus vs Step 3.5 Flash

DeepSeek-V3.1-Terminus and Step 3.5 Flash score almost the same on the Noometry Index (43.1 vs 42.3), so choose on price, context window or the category you care about most.

Last verified . 10 shared benchmarks.

DeepSeek-V3.1-Terminus DeepSeek

43.1

Rank #97 Confirmed

Step 3.5 Flash StepFun

42.3

Rank #116 Confirmed

Summary

  • They share 10 benchmarks with published results for both. DeepSeek-V3.1-Terminus scores higher in 5 categories and Step 3.5 Flash in 2 categories; 4 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where DeepSeek-V3.1-Terminus leads 26.4 to 22.2.
  • Step 3.5 Flash is cheaper at $0.10 / $0.30 per million input/output tokens, against $0.27 / $1 for DeepSeek-V3.1-Terminus.
  • Step 3.5 Flash accepts more context: 256K tokens versus 164K.

Side by side

DeepSeek-V3.1-Terminus and Step 3.5 Flash specifications
DeepSeek-V3.1-TerminusStep 3.5 Flash
ProviderDeepSeekStepFun
Noometry Index43.142.3
Released2025-09-222026-01-29
WeightsOpenOpen
Context window164K256K
Max output147K256K
Input $ / M tokens$0.27$0.10
Output $ / M tokens$1$0.30
Results tracked1619

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Category by category

Coding Too close to call

DeepSeek-V3.1-Terminus: 42.0 (#113), Step 3.5 Flash: 42.4 (#105)

Coding benchmarks
BenchmarkDeepSeek-V3.1-TerminusStep 3.5 Flash
LMArena Coding14261436
SciCode40.6%—
ALE-Bench745.17—

Reasoning DeepSeek-V3.1-Terminus leads

DeepSeek-V3.1-Terminus: 26.4 (#133), Step 3.5 Flash: 22.2 (#202)

Reasoning benchmarks
BenchmarkDeepSeek-V3.1-TerminusStep 3.5 Flash
LMArena Hard Prompts14261411
Kagi LLM Benchmark57.4%—
NYT Connections (extended)—28.4%
CritPt1.7%—
DTBench81.3%—
LMCA28.6%—

Math Step 3.5 Flash leads

DeepSeek-V3.1-Terminus: 38.5 (#137), Step 3.5 Flash: 42.6 (#84)

Math benchmarks
BenchmarkDeepSeek-V3.1-TerminusStep 3.5 Flash
LMArena Math14021408
MathArena Final-Answer Competitions—66.8%

Knowledge Not comparable

DeepSeek-V3.1-Terminus: —, Step 3.5 Flash: 39.6 (#132)

Knowledge benchmarks
BenchmarkDeepSeek-V3.1-TerminusStep 3.5 Flash
LMArena Expert—1421

Multilingual DeepSeek-V3.1-Terminus leads

DeepSeek-V3.1-Terminus: 52.1 (#92), Step 3.5 Flash: 50.5 (#119)

Multilingual benchmarks
BenchmarkDeepSeek-V3.1-TerminusStep 3.5 Flash
LMArena Non-English14071385
LMArena Russian14361385
LMArena Chinese—1447
LMArena French—1421
LMArena German—1405
LMArena Japanese—1354
LMArena Korean—1352
LMArena Spanish—1419

Instruction Following Too close to call

DeepSeek-V3.1-Terminus: 74.0 (#106), Step 3.5 Flash: 73.1 (#124)

Instruction Following benchmarks
BenchmarkDeepSeek-V3.1-TerminusStep 3.5 Flash
LMArena Instruction Following14041385

Long Context Too close to call

DeepSeek-V3.1-Terminus: 43.4 (#97), Step 3.5 Flash: 42.8 (#117)

Long Context benchmarks
BenchmarkDeepSeek-V3.1-TerminusStep 3.5 Flash
LMArena Longer Query14211402

Writing & Preference DeepSeek-V3.1-Terminus leads

DeepSeek-V3.1-Terminus: 61.0 (#92), Step 3.5 Flash: 58.8 (#113)

Writing & Preference benchmarks
BenchmarkDeepSeek-V3.1-TerminusStep 3.5 Flash
LMArena Text14191403
LMArena Creative Writing14031357
LMArena Multi-Turn14111405

Frequently asked questions

Is DeepSeek-V3.1-Terminus better than Step 3.5 Flash?

DeepSeek-V3.1-Terminus and Step 3.5 Flash score almost the same on the Noometry Index (43.1 vs 42.3), so choose on price, context window or the category you care about most.

Which is cheaper, DeepSeek-V3.1-Terminus or Step 3.5 Flash?

Step 3.5 Flash is cheaper. It lists at $0.10 per million input tokens and $0.30 per million output tokens; DeepSeek-V3.1-Terminus lists at $0.27 and $1.

Is DeepSeek-V3.1-Terminus or Step 3.5 Flash better for coding?

They score almost the same on coding (42.0 vs 42.4); test both on your own repository before choosing.

Which has the bigger context window?

Step 3.5 Flash does, with 256K tokens against 164K.

How many benchmarks do DeepSeek-V3.1-Terminus and Step 3.5 Flash share?

10 benchmarks have published results for both models. DeepSeek-V3.1-Terminus has 16 scored results on Noometry and Step 3.5 Flash has 19.

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