Noometry

Model comparison

Mixtral 8x7B vs Phi-4

Phi-4 is the stronger model overall, scoring 31.2 to 27.1 on the Noometry Index.

Last verified . 21 shared benchmarks.

Mixtral 8x7B Mistral AI

27.1

Rank #334 Confirmed

Phi-4 Microsoft

31.2

Rank #279 Confirmed

Summary

  • They share 21 benchmarks with published results for both. Mixtral 8x7B scores higher in 1 category and Phi-4 in 7 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Phi-4 leads 32.6 to 11.0.
  • The biggest single-benchmark swing is MATH Level 5: 10% for Mixtral 8x7B and 64.9% for Phi-4.
  • Phi-4 is cheaper at $0.07 / $0.14 per million input/output tokens, against $0.70 / $0.70 for Mixtral 8x7B.
  • Phi-4 accepts more context: 128K tokens versus 32K.

Side by side

Mixtral 8x7BPhi-4
ProviderMistral AIMicrosoft
Noometry Index27.131.2
Released2023-12-112024-12-11
WeightsOpenOpen
Context window32K128K
Max output32K4K
Input $ / M tokens$0.70$0.07
Output $ / M tokens$0.70$0.14
Results tracked3837

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Category by category

Coding Phi-4 leads

Mixtral 8x7B: 32.8 (#269), Phi-4: 34.4 (#239)

BenchmarkMixtral 8x7BPhi-4
LMArena Coding11261231
BigCodeBench Instruct—45.5%
LiveBench Coding—30.7%
BigCodeBench Complete—55.4%
HumanEval+39.6%—
MBPP+49.7%—

Agentic & Tool Use Not comparable

Mixtral 8x7B: —, Phi-4: 22.8 (#128)

BenchmarkMixtral 8x7BPhi-4
Berkeley Function Calling Leaderboard—28.8%
BALROG—11.6%

Reasoning Too close to call

Mixtral 8x7B: 18.2 (#285), Phi-4: 17.7 (#291)

BenchmarkMixtral 8x7BPhi-4
LMArena Hard Prompts11151220
Epoch Capabilities Index118.47130.42
Chess Puzzles—1%
LiveBench Reasoning—47.8%
DTBench49.6%—
LiveBench Data Analysis—45.2%
Adversarial NLI55.2%—
ForecastBench56.3—
HellaSwag86.7%—
LiveBench—41.6%
PIQA83.6%—
WinoGrande77.2%—

Math Phi-4 leads

Mixtral 8x7B: 18.8 (#289), Phi-4: 20.8 (#285)

BenchmarkMixtral 8x7BPhi-4
LMArena Math11471246
MATH Level 510%64.9%
OTIS Mock AIME 2024-2025—13.8%
Omni-MATH10.5%—
LiveBench Math—42%
GSM8K74.4%—

Knowledge Phi-4 leads

Mixtral 8x7B: 11.0 (#301), Phi-4: 32.6 (#209)

BenchmarkMixtral 8x7BPhi-4
GPQA Diamond30.6%56.1%
LMArena Expert10881203
MMLU70.6%84.8%
MMLU-Pro33.5%—
Confabulations—29.4%
Vectara Hallucination Rate—3.7%
GPQA (HELM)29.6%—
ARC (AI2) Challenge87.3%—
OpenBookQA85.8%—
TriviaQA82.2%—

Multilingual Phi-4 leads

Mixtral 8x7B: 29.6 (#266), Phi-4: 37.2 (#237)

BenchmarkMixtral 8x7BPhi-4
LMArena Non-English10771197
LMArena Chinese10551212
LMArena French11661224
LMArena German11141222
LMArena Japanese9311158
LMArena Korean9681151
LMArena Russian10901209
LMArena Spanish11111234

Instruction Following Phi-4 leads

Mixtral 8x7B: 51.0 (#297), Phi-4: 60.4 (#251)

BenchmarkMixtral 8x7BPhi-4
LMArena Instruction Following11091201
LiveBench Instruction Following—58.4%
IFEval57.5%—

Long Context Phi-4 leads

Mixtral 8x7B: 33.4 (#260), Phi-4: 36.9 (#226)

BenchmarkMixtral 8x7BPhi-4
LMArena Longer Query11031217

Writing & Preference Phi-4 leads

Mixtral 8x7B: 34.2 (#270), Phi-4: 40.5 (#244)

BenchmarkMixtral 8x7BPhi-4
LMArena Text11321217
LMArena Creative Writing11091182
LMArena Multi-Turn11151206
Short-Story Creative Writing—62.6%
WildBench67.3%—
LiveBench Language—25.6%

Frequently asked questions

Is Mixtral 8x7B better than Phi-4?

Phi-4 is the stronger model overall, scoring 31.2 to 27.1 on the Noometry Index.

Which is cheaper, Mixtral 8x7B or Phi-4?

Phi-4 is cheaper. It lists at $0.07 per million input tokens and $0.14 per million output tokens; Mixtral 8x7B lists at $0.70 and $0.70.

Is Mixtral 8x7B or Phi-4 better for coding?

Phi-4 scores higher on coding benchmarks: 34.4 versus 32.8 in the Noometry coding category.

Which has the bigger context window?

Phi-4 does, with 128K tokens against 32K.

How many benchmarks do Mixtral 8x7B and Phi-4 share?

21 benchmarks have published results for both models. Mixtral 8x7B has 38 scored results on Noometry and Phi-4 has 37.

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