Model comparison

Llama-3.3-70B-Instruct vs Wizardlm 13b

Llama-3.3-70B-Instruct and Wizardlm 13b score almost the same on the Noometry Index (30.6 vs 31.4), so choose on price, context window or the category you care about most.

Last verified . 10 shared benchmarks.

Llama-3.3-70B-Instruct Meta

30.6

Rank #291 Confirmed

Wizardlm 13b Microsoft

31.4

Rank #274 Confirmed

Summary

  • They share 10 benchmarks with published results for both. Llama-3.3-70B-Instruct scores higher in 4 categories and Wizardlm 13b in 3 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in instruction following, where Llama-3.3-70B-Instruct leads 71.1 to 53.5.

Side by side

Llama-3.3-70B-Instruct and Wizardlm 13b specifications
Llama-3.3-70B-InstructWizardlm 13b
ProviderMetaMicrosoft
Noometry Index30.631.4
Released2024-12-06—
WeightsOpenOpen
Context window128K—
Max output4K—
Input $ / M tokens$0.10—
Output $ / M tokens$0.32—
Results tracked4310

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Category by category

Coding Too close to call

Llama-3.3-70B-Instruct: 31.0 (#290), Wizardlm 13b: 30.1 (#298)

Coding benchmarks
BenchmarkLlama-3.3-70B-InstructWizardlm 13b
LMArena Coding12681035
SciCode26%—
WeirdML14.4%—
BigCodeBench Instruct46.9%—
LiveBench Coding36.6%—
BigCodeBench Complete57.5%—

Agentic & Tool Use Not comparable

Llama-3.3-70B-Instruct: 25.8 (#105), Wizardlm 13b: —

Agentic & Tool Use benchmarks
BenchmarkLlama-3.3-70B-InstructWizardlm 13b
Berkeley Function Calling Leaderboard31.9%—
BALROG23%—

Reasoning Wizardlm 13b leads

Llama-3.3-70B-Instruct: 14.1 (#327), Wizardlm 13b: 19.4 (#259)

Reasoning benchmarks
BenchmarkLlama-3.3-70B-InstructWizardlm 13b
LMArena Hard Prompts12571018
SimpleBench19.9%—
CritPt0%—
LiveBench Reasoning50.8%—
DTBench59.5%—
LiveBench Data Analysis49.5%—
LMCA17.5%—
Epoch Capabilities Index127.33—
ForecastBench58.6—
LiveBench50.2%—

Math Wizardlm 13b leads

Llama-3.3-70B-Instruct: 15.3 (#298), Wizardlm 13b: 30.2 (#238)

Math benchmarks
BenchmarkLlama-3.3-70B-InstructWizardlm 13b
LMArena Math12671017
OTIS Mock AIME 2024-20255.1%—
LiveBench Math42.2%—
MATH Level 541.6%—

Knowledge Not comparable

Llama-3.3-70B-Instruct: 30.6 (#226), Wizardlm 13b: —

Knowledge benchmarks
BenchmarkLlama-3.3-70B-InstructWizardlm 13b
GPQA Diamond47.4%—
Confabulations22.8%—
Vectara Hallucination Rate4.1%—
LMArena Expert1225—
MMLU86.3%—

Multilingual Llama-3.3-70B-Instruct leads

Llama-3.3-70B-Instruct: 39.9 (#220), Wizardlm 13b: 27.1 (#277)

Multilingual benchmarks
BenchmarkLlama-3.3-70B-InstructWizardlm 13b
LMArena Non-English12361034
LMArena Chinese12171023
LMArena French1281—
LMArena German1251—
LMArena Japanese1150—
LMArena Korean1143—
LMArena Russian1252—
LMArena Spanish1270—

Instruction Following Llama-3.3-70B-Instruct leads

Llama-3.3-70B-Instruct: 71.1 (#157), Wizardlm 13b: 53.5 (#285)

Instruction Following benchmarks
BenchmarkLlama-3.3-70B-InstructWizardlm 13b
LMArena Instruction Following12421048
LiveBench Instruction Following82.7%—

Long Context Wizardlm 13b leads

Llama-3.3-70B-Instruct: 26.4 (#295), Wizardlm 13b: 32.0 (#273)

Long Context benchmarks
BenchmarkLlama-3.3-70B-InstructWizardlm 13b
LMArena Longer Query12561054
Fiction.LiveBench33.3%—

Writing & Preference Llama-3.3-70B-Instruct leads

Llama-3.3-70B-Instruct: 47.6 (#207), Wizardlm 13b: 30.5 (#287)

Writing & Preference benchmarks
BenchmarkLlama-3.3-70B-InstructWizardlm 13b
LMArena Text12741077
LMArena Creative Writing12501091
LMArena Multi-Turn12801047
LiveBench Language39.2%—

Frequently asked questions

Is Llama-3.3-70B-Instruct better than Wizardlm 13b?

Llama-3.3-70B-Instruct and Wizardlm 13b score almost the same on the Noometry Index (30.6 vs 31.4), so choose on price, context window or the category you care about most.

Is Llama-3.3-70B-Instruct or Wizardlm 13b better for coding?

They score almost the same on coding (31.0 vs 30.1); test both on your own repository before choosing.

How many benchmarks do Llama-3.3-70B-Instruct and Wizardlm 13b share?

10 benchmarks have published results for both models. Llama-3.3-70B-Instruct has 43 scored results on Noometry and Wizardlm 13b has 10.

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