Noometry

Model comparison

Mixtral 8x22B vs Phi-4

Phi-4 is the stronger model overall, scoring 30.9 to 26.7 on the Noometry Index.

Last verified . 23 shared benchmarks.

Mixtral 8x22B Mistral AI

26.7

Rank #330 Confirmed

Phi-4 Microsoft

30.9

Rank #269 Confirmed

Summary

  • They share 23 benchmarks with published results for both. Mixtral 8x22B scores higher in 3 categories and Phi-4 in 6 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Phi-4 leads 32.5 to 15.1.
  • The biggest single-benchmark swing is MATH Level 5: 24.2% for Mixtral 8x22B and 64.9% for Phi-4.
  • Phi-4 is cheaper at $0.07 / $0.14 per million input/output tokens, against $2 / $6 for Mixtral 8x22B.
  • Phi-4 accepts more context: 128K tokens versus 64K.

Side by side

Mixtral 8x22BPhi-4
ProviderMistral AIMicrosoft
Noometry Index26.730.9
Released2024-04-172024-12-11
WeightsOpenOpen
Context window64K128K
Max output64K4K
Input $ / M tokens$2$0.07
Output $ / M tokens$6$0.14
Results tracked3437

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Category by category

Coding Phi-4 leads

Mixtral 8x22B: 23.8 (#324), Phi-4: 33.8 (#237)

BenchmarkMixtral 8x22BPhi-4
BigCodeBench Instruct40.6%45.5%
LMArena Coding11661231
BigCodeBench Complete50.2%55.4%
WeirdML3.2%—
LiveBench Coding—30.7%
HumanEval+72%—
MBPP+64.3%—

Agentic & Tool Use Too close to call

Mixtral 8x22B: 22.8 (#119), Phi-4: 22.6 (#120)

BenchmarkMixtral 8x22BPhi-4
Berkeley Function Calling Leaderboard—28.8%
Cybench7.5%—
BALROG—11.6%

Reasoning Mixtral 8x22B leads

Mixtral 8x22B: 19.1 (#246), Phi-4: 17.0 (#287)

BenchmarkMixtral 8x22BPhi-4
LMArena Hard Prompts11501220
Epoch Capabilities Index122130.43
Chess Puzzles—1%
LiveBench Reasoning—47.8%
DTBench55.1%—
LiveBench Data Analysis—45.2%
ForecastBench56.3—
LiveBench—41.6%

Math Mixtral 8x22B leads

Mixtral 8x22B: 21.2 (#271), Phi-4: 19.6 (#279)

BenchmarkMixtral 8x22BPhi-4
LMArena Math11841246
MATH Level 524.2%64.9%
OTIS Mock AIME 2024-2025—13.8%
Omni-MATH16.3%—
LiveBench Math—42%

Knowledge Phi-4 leads

Mixtral 8x22B: 15.1 (#288), Phi-4: 32.5 (#204)

BenchmarkMixtral 8x22BPhi-4
GPQA Diamond34.1%56.1%
LMArena Expert11131203
MMLU77.8%84.8%
MMLU-Pro46%—
Confabulations—29.4%
Vectara Hallucination Rate—3.7%
GPQA (HELM)33.4%—

Multilingual Phi-4 leads

Mixtral 8x22B: 32.9 (#250), Phi-4: 37.4 (#232)

BenchmarkMixtral 8x22BPhi-4
LMArena Non-English11281197
LMArena Chinese11161211
LMArena French11651223
LMArena German11411222
LMArena Japanese10371158
LMArena Korean10561151
LMArena Russian11581209
LMArena Spanish11501234

Instruction Following Phi-4 leads

Mixtral 8x22B: 57.9 (#261), Phi-4: 60.6 (#246)

BenchmarkMixtral 8x22BPhi-4
LMArena Instruction Following11471201
LiveBench Instruction Following—58.4%
IFEval72.4%—

Long Context Phi-4 leads

Mixtral 8x22B: 34.6 (#242), Phi-4: 36.9 (#221)

BenchmarkMixtral 8x22BPhi-4
LMArena Longer Query11441217

Writing & Preference Phi-4 leads

Mixtral 8x22B: 37.1 (#257), Phi-4: 40.7 (#239)

BenchmarkMixtral 8x22BPhi-4
LMArena Text11621217
LMArena Creative Writing11411182
LMArena Multi-Turn11301206
Short-Story Creative Writing—62.6%
WildBench71.1%—
LiveBench Language—25.6%

Frequently asked questions

Is Mixtral 8x22B better than Phi-4?

Phi-4 is the stronger model overall, scoring 30.9 to 26.7 on the Noometry Index.

Which is cheaper, Mixtral 8x22B or Phi-4?

Phi-4 is cheaper. It lists at $0.07 per million input tokens and $0.14 per million output tokens; Mixtral 8x22B lists at $2 and $6.

Is Mixtral 8x22B or Phi-4 better for coding?

Phi-4 scores higher on coding benchmarks: 33.8 versus 23.8 in the Noometry coding category.

Which has the bigger context window?

Phi-4 does, with 128K tokens against 64K.

How many benchmarks do Mixtral 8x22B and Phi-4 share?

23 benchmarks have published results for both models. Mixtral 8x22B has 34 scored results on Noometry and Phi-4 has 37.

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