Noometry

Model comparison

Llama-3.3-70B-Instruct vs Yi-Large

Llama-3.3-70B-Instruct has enough public results to be ranked (#291); Yi-Large does not yet, so treat this comparison as directional.

Last verified . 3 shared benchmarks.

Llama-3.3-70B-Instruct Meta

30.6

Rank #291 Confirmed

Yi-Large 01.AI

38.1

Unranked Sparse

Summary

  • They share 3 benchmarks with published results for both. Llama-3.3-70B-Instruct scores higher in 0 categories and Yi-Large in 1 category; one gap is clear of the uncertainty.
  • The widest gap is in coding, where Yi-Large leads 36.7 to 31.0.
  • The biggest single-benchmark swing is BigCodeBench Complete: 57.5% for Llama-3.3-70B-Instruct and 47.2% for Yi-Large.
  • Llama-3.3-70B-Instruct has downloadable open weights; the other is API-only.

Side by side

Llama-3.3-70B-InstructYi-Large
ProviderMeta01.AI
Noometry Index30.638.1
Released2024-12-062024-05-13
WeightsOpenProprietary
Context window128K—
Max output4K—
Input $ / M tokens$0.10—
Output $ / M tokens$0.32—
Results tracked433

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Category by category

Coding Yi-Large leads

Llama-3.3-70B-Instruct: 31.0 (#290), Yi-Large: 36.7 (#203)

BenchmarkLlama-3.3-70B-InstructYi-Large
BigCodeBench Instruct46.9%37.7%
BigCodeBench Complete57.5%47.2%
SciCode26%—
WeirdML14.4%—
LiveBench Coding36.6%—
LMArena Coding1268—

Agentic & Tool Use Not comparable

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

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

Reasoning Not comparable

Llama-3.3-70B-Instruct: 14.1 (#327), Yi-Large: —

BenchmarkLlama-3.3-70B-InstructYi-Large
SimpleBench19.9%—
CritPt0%—
LiveBench Reasoning50.8%—
LMArena Hard Prompts1257—
DTBench59.5%—
LiveBench Data Analysis49.5%—
LMCA17.5%—
Epoch Capabilities Index127.33—
ForecastBench58.6—
LiveBench50.2%—

Math Not comparable

Llama-3.3-70B-Instruct: 15.3 (#298), Yi-Large: —

BenchmarkLlama-3.3-70B-InstructYi-Large
OTIS Mock AIME 2024-20255.1%—
LiveBench Math42.2%—
LMArena Math1267—
MATH Level 541.6%—

Knowledge Not comparable

Llama-3.3-70B-Instruct: 30.6 (#226), Yi-Large: —

BenchmarkLlama-3.3-70B-InstructYi-Large
MMLU86.3%79.3%
GPQA Diamond47.4%—
Confabulations22.8%—
Vectara Hallucination Rate4.1%—
LMArena Expert1225—

Multilingual Not comparable

Llama-3.3-70B-Instruct: 39.9 (#220), Yi-Large: —

BenchmarkLlama-3.3-70B-InstructYi-Large
LMArena Non-English1236—
LMArena Chinese1217—
LMArena French1281—
LMArena German1251—
LMArena Japanese1150—
LMArena Korean1143—
LMArena Russian1252—
LMArena Spanish1270—

Instruction Following Not comparable

Llama-3.3-70B-Instruct: 71.1 (#157), Yi-Large: —

BenchmarkLlama-3.3-70B-InstructYi-Large
LiveBench Instruction Following82.7%—
LMArena Instruction Following1242—

Long Context Not comparable

Llama-3.3-70B-Instruct: 26.4 (#295), Yi-Large: —

BenchmarkLlama-3.3-70B-InstructYi-Large
Fiction.LiveBench33.3%—
LMArena Longer Query1256—

Writing & Preference Not comparable

Llama-3.3-70B-Instruct: 47.6 (#207), Yi-Large: —

BenchmarkLlama-3.3-70B-InstructYi-Large
LMArena Text1274—
LMArena Creative Writing1250—
LMArena Multi-Turn1280—
LiveBench Language39.2%—

Frequently asked questions

Is Llama-3.3-70B-Instruct better than Yi-Large?

Llama-3.3-70B-Instruct has enough public results to be ranked (#291); Yi-Large does not yet, so treat this comparison as directional.

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

Yi-Large scores higher on coding benchmarks: 36.7 versus 31.0 in the Noometry coding category.

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

3 benchmarks have published results for both models. Llama-3.3-70B-Instruct has 43 scored results on Noometry and Yi-Large has 3.

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