Model comparison

DeepSeek-V3.1-Terminus vs Phi-4 Mini

DeepSeek-V3.1-Terminus is the stronger model overall, scoring 42.6 to 30.4 on the Noometry Index. Phi-4 Mini costs 3.6× less per token, which makes it the better buy when DeepSeek-V3.1-Terminus's lead doesn't matter for your workload.

Last verified October 10, 2026. 2 shared benchmarks.

DeepSeek-V3.1-Terminus

DeepSeek

42.6

Rank #96 Confirmed

Phi-4 Mini

Microsoft

30.4

Rank #280 Reported

Summary

They share 2 benchmarks with published results for both. DeepSeek-V3.1-Terminus scores higher in 2 categories and Phi-4 Mini in 0 categories; 2 gaps are clear of the uncertainty.
The widest gap is in coding, where DeepSeek-V3.1-Terminus leads 41.5 to 27.6.
The biggest single-benchmark swing is SciCode: 40.6% for DeepSeek-V3.1-Terminus and 10.8% for Phi-4 Mini.
Phi-4 Mini is cheaper at $0.075 / $0.30 per million input/output tokens, against $0.30 / $1 for DeepSeek-V3.1-Terminus.
DeepSeek-V3.1-Terminus accepts more context: 164K tokens versus 128K.

Side by side

DeepSeek-V3.1-Terminus and Phi-4 Mini specifications
	DeepSeek-V3.1-Terminus	Phi-4 Mini
Provider	DeepSeek	Microsoft
Noometry Index	42.6	30.4
Released	2025-09-22	2024-12-11
Weights	Open	Open
Context window	164K	128K
Max output	66K	4K
Input $ / M tokens	$0.30	$0.075
Output $ / M tokens	$1	$0.30
Results tracked	16	3

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Category by category

Coding DeepSeek-V3.1-Terminus leads

DeepSeek-V3.1-Terminus: 41.5 (#114), Phi-4 Mini: 27.6 (#312)

Coding benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Phi-4 Mini
SciCode	40.6%	10.8%
LMArena Coding	1426	—
ALE-Bench	745.17	—

Reasoning DeepSeek-V3.1-Terminus leads

DeepSeek-V3.1-Terminus: 25.7 (#126), Phi-4 Mini: 21.7 (#190)

Reasoning benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Phi-4 Mini
CritPt	1.7%	0%
Kagi LLM Benchmark	57.4%	—
LMArena Hard Prompts	1427	—
DTBench	81.3%	—
LMCA	28.6%	—

Math Not comparable

DeepSeek-V3.1-Terminus: 35.7 (#138), Phi-4 Mini: —

Math benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Phi-4 Mini
LMArena Math	1402	—

Knowledge Not comparable

DeepSeek-V3.1-Terminus: —, Phi-4 Mini: 24.8 (#261)

Knowledge benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Phi-4 Mini
Vectara Hallucination Rate	—	23.5%

Multilingual Not comparable

DeepSeek-V3.1-Terminus: 52.3 (#87), Phi-4 Mini: —

Multilingual benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Phi-4 Mini
LMArena Non-English	1407	—
LMArena Russian	1434	—

Instruction Following Not comparable

DeepSeek-V3.1-Terminus: 74.4 (#96), Phi-4 Mini: —

Instruction Following benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Phi-4 Mini
LMArena Instruction Following	1406	—

Long Context Not comparable

DeepSeek-V3.1-Terminus: 43.5 (#88), Phi-4 Mini: —

Long Context benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Phi-4 Mini
LMArena Longer Query	1426	—

Writing & Preference Not comparable

DeepSeek-V3.1-Terminus: 61.3 (#87), Phi-4 Mini: —

Writing & Preference benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Phi-4 Mini
LMArena Text	1420	—
LMArena Creative Writing	1404	—
LMArena Multi-Turn	1411	—

Frequently asked questions

Is DeepSeek-V3.1-Terminus better than Phi-4 Mini?

Which is cheaper, DeepSeek-V3.1-Terminus or Phi-4 Mini?

Phi-4 Mini is cheaper. It lists at $0.075 per million input tokens and $0.30 per million output tokens; DeepSeek-V3.1-Terminus lists at $0.30 and $1.

Is DeepSeek-V3.1-Terminus or Phi-4 Mini better for coding?

DeepSeek-V3.1-Terminus scores higher on coding benchmarks: 41.5 versus 27.6 in the Noometry coding category.

Which has the bigger context window?

DeepSeek-V3.1-Terminus does, with 164K tokens against 128K.

How many benchmarks do DeepSeek-V3.1-Terminus and Phi-4 Mini share?

2 benchmarks have published results for both models. DeepSeek-V3.1-Terminus has 16 scored results on Noometry and Phi-4 Mini has 3.