Model comparison

GPT-3.5-turbo vs Wizardlm 70b

Wizardlm 70b is the stronger model overall, scoring 33.0 to 23.2 on the Noometry Index.

Last verified . 12 shared benchmarks.

GPT-3.5-turbo OpenAI

23.2

Rank #350 Confirmed

Wizardlm 70b Microsoft

33.0

Rank #249 Confirmed

Summary

  • They share 12 benchmarks with published results for both. GPT-3.5-turbo scores higher in 3 categories and Wizardlm 70b in 4 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in math, where Wizardlm 70b leads 32.2 to 6.3.
  • Wizardlm 70b has downloadable open weights; the other is API-only.

Side by side

GPT-3.5-turbo and Wizardlm 70b specifications
GPT-3.5-turboWizardlm 70b
ProviderOpenAIMicrosoft
Noometry Index23.233.0
Released2023-03-01—
WeightsProprietaryOpen
Context window16K—
Max output4K—
Input $ / M tokens$0.50—
Output $ / M tokens$1.50—
Results tracked4412

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Category by category

Coding Wizardlm 70b leads

GPT-3.5-turbo: 23.9 (#331), Wizardlm 70b: 31.4 (#285)

Coding benchmarks
BenchmarkGPT-3.5-turboWizardlm 70b
LMArena Coding11361081
WeirdML3.5%—
BigCodeBench Instruct39.1%—
BigCodeBench Complete50.6%—
HumanEval+70.7%—
MBPP+69.7%—

Agentic & Tool Use Not comparable

GPT-3.5-turbo: —, Wizardlm 70b: —

Agentic & Tool Use benchmarks
BenchmarkGPT-3.5-turboWizardlm 70b
METR Time Horizons21.5%—

Reasoning Wizardlm 70b leads

GPT-3.5-turbo: 13.8 (#332), Wizardlm 70b: 20.7 (#234)

Reasoning benchmarks
BenchmarkGPT-3.5-turboWizardlm 70b
LMArena Hard Prompts11081079
Chess Puzzles0%—
Mystery Game Puzzles3%—
DTBench48.5%—
LMCA9.7%—
Adversarial NLI58.1%—
BIG-Bench Hard61.6%—
CommonsenseQA 2.057%—
Epoch Capabilities Index118.55—
ForecastBench50.4—
WinoGrande81.6%—

Math Wizardlm 70b leads

GPT-3.5-turbo: 6.3 (#327), Wizardlm 70b: 32.2 (#218)

Math benchmarks
BenchmarkGPT-3.5-turboWizardlm 70b
LMArena Math11421116
FrontierMath (Tiers 1-3)0%—
OTIS Mock AIME 2024-20252.2%—
MATH Level 515.9%—
GSM8K57.8%—

Knowledge Not comparable

GPT-3.5-turbo: 10.0 (#303), Wizardlm 70b: —

Knowledge benchmarks
BenchmarkGPT-3.5-turboWizardlm 70b
GPQA Diamond28%—
LMArena Expert1070—
ARC (AI2) Challenge87.4%—
BoolQ87%—
MMLU71.4%—
OpenBookQA86%—
TriviaQA85.8%—

Multilingual GPT-3.5-turbo leads

GPT-3.5-turbo: 31.5 (#258), Wizardlm 70b: 29.6 (#265)

Multilingual benchmarks
BenchmarkGPT-3.5-turboWizardlm 70b
LMArena Non-English11081078
LMArena Chinese10751052
LMArena German10901083
LMArena Russian11231155
LMArena French1118—
LMArena Japanese1043—
LMArena Korean1019—
LMArena Spanish1121—

Instruction Following GPT-3.5-turbo leads

GPT-3.5-turbo: 57.9 (#262), Wizardlm 70b: 56.3 (#273)

Instruction Following benchmarks
BenchmarkGPT-3.5-turboWizardlm 70b
LMArena Instruction Following11191093

Long Context Too close to call

GPT-3.5-turbo: 34.0 (#254), Wizardlm 70b: 33.3 (#263)

Long Context benchmarks
BenchmarkGPT-3.5-turboWizardlm 70b
LMArena Longer Query11211097

Writing & Preference Wizardlm 70b leads

GPT-3.5-turbo: 25.3 (#305), Wizardlm 70b: 34.8 (#269)

Writing & Preference benchmarks
BenchmarkGPT-3.5-turboWizardlm 70b
LMArena Text11251120
LMArena Creative Writing10921149
LMArena Multi-Turn11171108
EQ-Bench Creative Writing451—

Frequently asked questions

Is GPT-3.5-turbo better than Wizardlm 70b?

Wizardlm 70b is the stronger model overall, scoring 33.0 to 23.2 on the Noometry Index.

Is GPT-3.5-turbo or Wizardlm 70b better for coding?

Wizardlm 70b scores higher on coding benchmarks: 31.4 versus 23.9 in the Noometry coding category.

How many benchmarks do GPT-3.5-turbo and Wizardlm 70b share?

12 benchmarks have published results for both models. GPT-3.5-turbo has 44 scored results on Noometry and Wizardlm 70b has 12.

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