Model comparison

Inkling vs Phi-4 Mini

Inkling is the stronger model overall, scoring 44.1 to 30.9 on the Noometry Index. Phi-4 Mini costs 20× less per token, which makes it the better buy when Inkling's lead doesn't matter for your workload.

Last verified . 2 shared benchmarks.

Inkling Thinking Machines Lab

44.1

Rank #80 Confirmed

Phi-4 Mini Microsoft

30.9

Rank #283 Reported

Summary

  • They share 2 benchmarks with published results for both. Inkling scores higher in 3 categories and Phi-4 Mini in 0 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Inkling leads 55.1 to 25.3.
  • The biggest single-benchmark swing is SciCode: 47% for Inkling and 10.8% for Phi-4 Mini.
  • Phi-4 Mini is cheaper at $0.075 / $0.30 per million input/output tokens, against $1.87 / $4.68 for Inkling.
  • Phi-4 Mini accepts more context: 128K tokens versus 66K.

Side by side

Inkling and Phi-4 Mini specifications
InklingPhi-4 Mini
ProviderThinking Machines LabMicrosoft
Noometry Index44.130.9
Released2026-07-152024-12-11
WeightsOpenOpen
Context window66K128K
Max output66K4K
Input $ / M tokens$1.87$0.075
Output $ / M tokens$4.68$0.30
Results tracked413

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Category by category

Coding Inkling leads

Inkling: 34.5 (#234), Phi-4 Mini: 28.1 (#317)

Coding benchmarks
BenchmarkInklingPhi-4 Mini
SciCode47%10.8%
FrontierCode14%—
LMArena WebDev1413—
FrontierSWE4.1%—
WeirdML32.3%—
LMArena Coding1464—
ALE-Bench946—

Agentic & Tool Use Not comparable

Inkling: 29.6 (#85), Phi-4 Mini: —

Agentic & Tool Use benchmarks
BenchmarkInklingPhi-4 Mini
APEX-Agents33.8%—
τ²-bench Banking25%—

Reasoning Inkling leads

Inkling: 40.4 (#56), Phi-4 Mini: 22.4 (#195)

Reasoning benchmarks
BenchmarkInklingPhi-4 Mini
CritPt5.4%0%
ARC-AGI-236.5%—
SimpleBench50%—
ARC-AGI-179.5%—
Chess Puzzles21%—
LMArena Hard Prompts1451—
DTBench87.5%—
LMCA37.6%—
Epoch Capabilities Index148.54—

Math Not comparable

Inkling: 31.3 (#225), Phi-4 Mini: —

Math benchmarks
BenchmarkInklingPhi-4 Mini
FrontierMath (Tiers 1-3)33.3%—
FrontierMath Tier 44.9%—
OTIS Mock AIME 2024-202588.9%—
ProofBench0%—
LMArena Math1479—

Knowledge Inkling leads

Inkling: 55.1 (#49), Phi-4 Mini: 25.3 (#262)

Knowledge benchmarks
BenchmarkInklingPhi-4 Mini
GPQA Diamond88.3%—
SimpleQA Verified40.3%—
Vectara Hallucination Rate—23.5%
LMArena Expert1465—

Multilingual Not comparable

Inkling: 54.0 (#52), Phi-4 Mini: —

Multilingual benchmarks
BenchmarkInklingPhi-4 Mini
LMArena Non-English1434—
LMArena Chinese1490—
LMArena French1458—
LMArena German1446—
LMArena Japanese1429—
LMArena Korean1404—
LMArena Russian1429—
LMArena Spanish1448—

Instruction Following Not comparable

Inkling: 75.1 (#71), Phi-4 Mini: —

Instruction Following benchmarks
BenchmarkInklingPhi-4 Mini
LMArena Instruction Following1426—

Long Context Not comparable

Inkling: 43.8 (#86), Phi-4 Mini: —

Long Context benchmarks
BenchmarkInklingPhi-4 Mini
LMArena Longer Query1434—

Writing & Preference Not comparable

Inkling: 65.2 (#51), Phi-4 Mini: —

Writing & Preference benchmarks
BenchmarkInklingPhi-4 Mini
LMArena Text1441—
LMArena Creative Writing1387—
EQ-Bench Creative Writing1611—
EQ-Bench 41226—
LMArena Multi-Turn1436—

Frequently asked questions

Is Inkling better than Phi-4 Mini?

Inkling is the stronger model overall, scoring 44.1 to 30.9 on the Noometry Index. Phi-4 Mini costs 20× less per token, which makes it the better buy when Inkling's lead doesn't matter for your workload.

Which is cheaper, Inkling 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; Inkling lists at $1.87 and $4.68.

Is Inkling or Phi-4 Mini better for coding?

Inkling scores higher on coding benchmarks: 34.5 versus 28.1 in the Noometry coding category.

Which has the bigger context window?

Phi-4 Mini does, with 128K tokens against 66K.

How many benchmarks do Inkling and Phi-4 Mini share?

2 benchmarks have published results for both models. Inkling has 41 scored results on Noometry and Phi-4 Mini has 3.

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