Noometry

Model comparison

Llama-3.3-70B-Instruct vs Yi-1.5-34B

Llama-3.3-70B-Instruct and Yi-1.5-34B score almost the same on the Noometry Index (30.6 vs 30.6), so choose on price, context window or the category you care about most.

Last verified . 21 shared benchmarks.

Llama-3.3-70B-Instruct Meta

30.6

Rank #291 Confirmed

Yi-1.5-34B 01.AI

30.6

Rank #289 Confirmed

Summary

  • They share 21 benchmarks with published results for both. Llama-3.3-70B-Instruct scores higher in 4 categories and Yi-1.5-34B in 4 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Llama-3.3-70B-Instruct leads 30.6 to 14.8.
  • The biggest single-benchmark swing is MATH Level 5: 41.6% for Llama-3.3-70B-Instruct and 25.5% for Yi-1.5-34B.

Side by side

Llama-3.3-70B-InstructYi-1.5-34B
ProviderMeta01.AI
Noometry Index30.630.6
Released2024-12-062024-05-13
WeightsOpenOpen
Context window128K—
Max output4K—
Input $ / M tokens$0.10—
Output $ / M tokens$0.32—
Results tracked4321

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Category by category

Coding Yi-1.5-34B leads

Llama-3.3-70B-Instruct: 31.0 (#290), Yi-1.5-34B: 32.4 (#272)

BenchmarkLlama-3.3-70B-InstructYi-1.5-34B
BigCodeBench Instruct46.9%33.9%
LMArena Coding12681169
BigCodeBench Complete57.5%43.8%
SciCode26%—
WeirdML14.4%—
LiveBench Coding36.6%—

Agentic & Tool Use Not comparable

Llama-3.3-70B-Instruct: 25.8 (#105), Yi-1.5-34B: —

BenchmarkLlama-3.3-70B-InstructYi-1.5-34B
Berkeley Function Calling Leaderboard31.9%—
BALROG23%—

Reasoning Yi-1.5-34B leads

Llama-3.3-70B-Instruct: 14.1 (#327), Yi-1.5-34B: 22.5 (#191)

BenchmarkLlama-3.3-70B-InstructYi-1.5-34B
LMArena Hard Prompts12571160
SimpleBench19.9%—
CritPt0%—
LiveBench Reasoning50.8%—
DTBench59.5%—
LiveBench Data Analysis49.5%—
LMCA17.5%—
Epoch Capabilities Index127.33—
ForecastBench58.6—
LiveBench50.2%—

Math Yi-1.5-34B leads

Llama-3.3-70B-Instruct: 15.3 (#298), Yi-1.5-34B: 27.5 (#249)

BenchmarkLlama-3.3-70B-InstructYi-1.5-34B
LMArena Math12671182
MATH Level 541.6%25.5%
OTIS Mock AIME 2024-20255.1%—
LiveBench Math42.2%—

Knowledge Llama-3.3-70B-Instruct leads

Llama-3.3-70B-Instruct: 30.6 (#226), Yi-1.5-34B: 14.8 (#295)

BenchmarkLlama-3.3-70B-InstructYi-1.5-34B
GPQA Diamond47.4%32%
LMArena Expert12251144
Confabulations22.8%—
Vectara Hallucination Rate4.1%—
MMLU86.3%—

Multilingual Llama-3.3-70B-Instruct leads

Llama-3.3-70B-Instruct: 39.9 (#220), Yi-1.5-34B: 32.3 (#256)

BenchmarkLlama-3.3-70B-InstructYi-1.5-34B
LMArena Non-English12361121
LMArena Chinese12171213
LMArena French12811156
LMArena German12511111
LMArena Japanese11501021
LMArena Korean11431005
LMArena Russian12521091
LMArena Spanish12701121

Instruction Following Llama-3.3-70B-Instruct leads

Llama-3.3-70B-Instruct: 71.1 (#157), Yi-1.5-34B: 59.2 (#257)

BenchmarkLlama-3.3-70B-InstructYi-1.5-34B
LMArena Instruction Following12421139
LiveBench Instruction Following82.7%—

Long Context Yi-1.5-34B leads

Llama-3.3-70B-Instruct: 26.4 (#295), Yi-1.5-34B: 34.6 (#248)

BenchmarkLlama-3.3-70B-InstructYi-1.5-34B
LMArena Longer Query12561143
Fiction.LiveBench33.3%—

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

Llama-3.3-70B-Instruct: 47.6 (#207), Yi-1.5-34B: 37.4 (#257)

BenchmarkLlama-3.3-70B-InstructYi-1.5-34B
LMArena Text12741173
LMArena Creative Writing12501135
LMArena Multi-Turn12801153
LiveBench Language39.2%—

Frequently asked questions

Is Llama-3.3-70B-Instruct better than Yi-1.5-34B?

Llama-3.3-70B-Instruct and Yi-1.5-34B score almost the same on the Noometry Index (30.6 vs 30.6), so choose on price, context window or the category you care about most.

Is Llama-3.3-70B-Instruct or Yi-1.5-34B better for coding?

Yi-1.5-34B scores higher on coding benchmarks: 32.4 versus 31.0 in the Noometry coding category.

How many benchmarks do Llama-3.3-70B-Instruct and Yi-1.5-34B share?

21 benchmarks have published results for both models. Llama-3.3-70B-Instruct has 43 scored results on Noometry and Yi-1.5-34B has 21.

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