Model comparison

Mixtral 8x7B vs Step 3.7 Flash

Step 3.7 Flash is the stronger model overall, scoring 36.5 to 26.8 on the Noometry Index.

Last verified . 0 shared benchmarks.

Mixtral 8x7B Mistral AI

26.8

Rank #328 Confirmed

Step 3.7 Flash StepFun

36.5

Rank #207 Reported

Summary

  • The widest gap is in math, where Step 3.7 Flash leads 40.9 to 17.2.
  • Step 3.7 Flash is cheaper at $0.18 / $1.11 per million input/output tokens, against $0.70 / $0.70 for Mixtral 8x7B.
  • Step 3.7 Flash accepts more context: 256K tokens versus 32K.

Side by side

Mixtral 8x7B and Step 3.7 Flash specifications
Mixtral 8x7BStep 3.7 Flash
ProviderMistral AIStepFun
Noometry Index26.836.5
Released2023-12-112026-05-29
WeightsOpenOpen
Context window32K256K
Max output32K256K
Input $ / M tokens$0.70$0.18
Output $ / M tokens$0.70$1.11
Results tracked385

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Category by category

Coding Step 3.7 Flash leads

Mixtral 8x7B: 32.2 (#265), Step 3.7 Flash: 39.4 (#147)

Coding benchmarks
BenchmarkMixtral 8x7BStep 3.7 Flash
SciCode—40%
LMArena Coding1127—
ALE-Bench—694.12
HumanEval+39.6%—
MBPP+49.7%—

Reasoning Step 3.7 Flash leads

Mixtral 8x7B: 17.4 (#283), Step 3.7 Flash: 20.9 (#211)

Reasoning benchmarks
BenchmarkMixtral 8x7BStep 3.7 Flash
NYT Connections (extended)—39.7%
CritPt—2.3%
LMArena Hard Prompts1115—
DTBench49.6%—
Adversarial NLI55.2%—
Epoch Capabilities Index118.38—
ForecastBench56.3—
HellaSwag86.7%—
PIQA83.6%—
WinoGrande77.2%—

Math Step 3.7 Flash leads

Mixtral 8x7B: 17.2 (#284), Step 3.7 Flash: 40.9 (#74)

Math benchmarks
BenchmarkMixtral 8x7BStep 3.7 Flash
MathArena Final-Answer Competitions—68.5%
Omni-MATH10.5%—
LMArena Math1147—
MATH Level 510%—
GSM8K74.4%—

Knowledge Not comparable

Mixtral 8x7B: 11.0 (#296), Step 3.7 Flash: —

Knowledge benchmarks
BenchmarkMixtral 8x7BStep 3.7 Flash
GPQA Diamond30.6%—
MMLU-Pro33.5%—
GPQA (HELM)29.6%—
LMArena Expert1088—
ARC (AI2) Challenge87.3%—
MMLU70.6%—
OpenBookQA85.8%—
TriviaQA82.2%—

Multilingual Not comparable

Mixtral 8x7B: 29.8 (#261), Step 3.7 Flash: —

Multilingual benchmarks
BenchmarkMixtral 8x7BStep 3.7 Flash
LMArena Non-English1077—
LMArena Chinese1055—
LMArena French1165—
LMArena German1114—
LMArena Japanese931—
LMArena Korean968—
LMArena Russian1090—
LMArena Spanish1110—

Instruction Following Not comparable

Mixtral 8x7B: 51.2 (#292), Step 3.7 Flash: —

Instruction Following benchmarks
BenchmarkMixtral 8x7BStep 3.7 Flash
IFEval57.5%—
LMArena Instruction Following1110—

Long Context Not comparable

Mixtral 8x7B: 33.4 (#255), Step 3.7 Flash: —

Long Context benchmarks
BenchmarkMixtral 8x7BStep 3.7 Flash
LMArena Longer Query1103—

Writing & Preference Not comparable

Mixtral 8x7B: 34.4 (#265), Step 3.7 Flash: —

Writing & Preference benchmarks
BenchmarkMixtral 8x7BStep 3.7 Flash
LMArena Text1132—
LMArena Creative Writing1109—
WildBench67.3%—
LMArena Multi-Turn1115—

Frequently asked questions

Is Mixtral 8x7B better than Step 3.7 Flash?

Step 3.7 Flash is the stronger model overall, scoring 36.5 to 26.8 on the Noometry Index.

Which is cheaper, Mixtral 8x7B or Step 3.7 Flash?

Step 3.7 Flash is cheaper. It lists at $0.18 per million input tokens and $1.11 per million output tokens; Mixtral 8x7B lists at $0.70 and $0.70.

Is Mixtral 8x7B or Step 3.7 Flash better for coding?

Step 3.7 Flash scores higher on coding benchmarks: 39.4 versus 32.2 in the Noometry coding category.

Which has the bigger context window?

Step 3.7 Flash does, with 256K tokens against 32K.

How many benchmarks do Mixtral 8x7B and Step 3.7 Flash share?

0 benchmarks have published results for both models. Mixtral 8x7B has 38 scored results on Noometry and Step 3.7 Flash has 5.

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