Noometry

Model comparison

GPT-6.1 Sol vs Phi-4

GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 31.2 on the Noometry Index. Phi-4 costs 46× less per token, which makes it the better buy when GPT-6.1 Sol's lead doesn't matter for your workload.

Last verified . 16 shared benchmarks.

GPT-6.1 Sol OpenAI

65.6

Rank #6 Confirmed

Phi-4 Microsoft

31.2

Rank #279 Confirmed

Summary

  • They share 16 benchmarks with published results for both. GPT-6.1 Sol scores higher in 9 categories and Phi-4 in 0 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-6.1 Sol leads 93.7 to 20.8.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 100% for GPT-6.1 Sol and 13.8% for Phi-4.
  • Phi-4 is cheaper at $0.07 / $0.14 per million input/output tokens, against $2 / $10 for GPT-6.1 Sol.
  • GPT-6.1 Sol accepts more context: 1.05M tokens versus 128K.
  • Phi-4 has downloadable open weights; the other is API-only.

Side by side

GPT-6.1 SolPhi-4
ProviderOpenAIMicrosoft
Noometry Index65.631.2
Released2026-09-292024-12-11
WeightsProprietaryOpen
Context window1.05M128K
Max output128K4K
Input $ / M tokens$2$0.07
Output $ / M tokens$10$0.14
Results tracked3437

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Category by category

Coding GPT-6.1 Sol leads

GPT-6.1 Sol: 63.2 (#8), Phi-4: 34.4 (#239)

BenchmarkGPT-6.1 SolPhi-4
LMArena Coding14871231
DeepSWE75.2%—
FrontierCode50.2%—
LMArena WebDev1755—
SciCode55.8%—
BigCodeBench Instruct—45.5%
LiveBench Coding—30.7%
BigCodeBench Complete—55.4%

Agentic & Tool Use GPT-6.1 Sol leads

GPT-6.1 Sol: 39.6 (#26), Phi-4: 22.8 (#128)

BenchmarkGPT-6.1 SolPhi-4
APEX-Agents60%—
Berkeley Function Calling Leaderboard—28.8%
BALROG—11.6%
GDP.pdf32%—

Reasoning GPT-6.1 Sol leads

GPT-6.1 Sol: 81.9 (#2), Phi-4: 17.7 (#291)

BenchmarkGPT-6.1 SolPhi-4
Chess Puzzles61%1%
LMArena Hard Prompts14661220
Epoch Capabilities Index166.09130.42
ARC-AGI-294.2%—
NYT Connections (extended)95.5%—
ARC-AGI-198.5%—
CritPt31.7%—
EBR-Bench54.3%—
LiveBench Reasoning—47.8%
Mystery Game Puzzles80%—
LiveBench Data Analysis—45.2%
LiveBench—41.6%

Math GPT-6.1 Sol leads

GPT-6.1 Sol: 93.7 (#1), Phi-4: 20.8 (#285)

BenchmarkGPT-6.1 SolPhi-4
OTIS Mock AIME 2024-2025100%13.8%
LMArena Math14641246
FrontierMath (Tiers 1-3)93.7%—
FrontierMath Tier 4100%—
ProofBench99%—
LiveBench Math—42%
MATH Level 5—64.9%

Knowledge GPT-6.1 Sol leads

GPT-6.1 Sol: 71.8 (#4), Phi-4: 32.6 (#209)

BenchmarkGPT-6.1 SolPhi-4
GPQA Diamond95.4%56.1%
LMArena Expert15021203
SimpleQA Verified73.9%—
Confabulations—29.4%
Vectara Hallucination Rate—3.7%
MMLU—84.8%

Multimodal Not comparable

GPT-6.1 Sol: 52.7 (#5), Phi-4: —

BenchmarkGPT-6.1 SolPhi-4
LMArena Vision1288—
Furniture Assembly80%—

Multilingual GPT-6.1 Sol leads

GPT-6.1 Sol: 54.3 (#46), Phi-4: 37.2 (#237)

BenchmarkGPT-6.1 SolPhi-4
LMArena Non-English14381197
LMArena Chinese14771212
LMArena Russian14551209
LMArena French—1224
LMArena German—1222
LMArena Japanese—1158
LMArena Korean—1151
LMArena Spanish—1234

Instruction Following GPT-6.1 Sol leads

GPT-6.1 Sol: 77.0 (#29), Phi-4: 60.4 (#251)

BenchmarkGPT-6.1 SolPhi-4
LMArena Instruction Following14681201
LiveBench Instruction Following—58.4%

Long Context GPT-6.1 Sol leads

GPT-6.1 Sol: 44.9 (#54), Phi-4: 36.9 (#226)

BenchmarkGPT-6.1 SolPhi-4
LMArena Longer Query14651217

Writing & Preference GPT-6.1 Sol leads

GPT-6.1 Sol: 63.6 (#63), Phi-4: 40.5 (#244)

BenchmarkGPT-6.1 SolPhi-4
LMArena Text14471217
LMArena Creative Writing14321182
LMArena Multi-Turn14491206
Short-Story Creative Writing—62.6%
LiveBench Language—25.6%

Frequently asked questions

Is GPT-6.1 Sol better than Phi-4?

GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 31.2 on the Noometry Index. Phi-4 costs 46× less per token, which makes it the better buy when GPT-6.1 Sol's lead doesn't matter for your workload.

Which is cheaper, GPT-6.1 Sol or Phi-4?

Phi-4 is cheaper. It lists at $0.07 per million input tokens and $0.14 per million output tokens; GPT-6.1 Sol lists at $2 and $10.

Is GPT-6.1 Sol or Phi-4 better for coding?

GPT-6.1 Sol scores higher on coding benchmarks: 63.2 versus 34.4 in the Noometry coding category.

Which has the bigger context window?

GPT-6.1 Sol does, with 1.05M tokens against 128K.

How many benchmarks do GPT-6.1 Sol and Phi-4 share?

16 benchmarks have published results for both models. GPT-6.1 Sol has 34 scored results on Noometry and Phi-4 has 37.

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