Noometry

Model comparison

Claude Sonnet 5.5 vs Llama-3.3-70B-Instruct

Claude Sonnet 5.5 is the stronger model overall, scoring 61.9 to 30.6 on the Noometry Index. Llama-3.3-70B-Instruct costs 26× less per token, which makes it the better buy when Claude Sonnet 5.5's lead doesn't matter for your workload.

Last verified . 17 shared benchmarks.

Claude Sonnet 5.5 Anthropic

61.9

Rank #10 Confirmed

Llama-3.3-70B-Instruct Meta

30.6

Rank #291 Confirmed

Summary

  • They share 17 benchmarks with published results for both. Claude Sonnet 5.5 scores higher in 9 categories and Llama-3.3-70B-Instruct in 0 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in math, where Claude Sonnet 5.5 leads 87.9 to 15.3.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 100% for Claude Sonnet 5.5 and 5.1% for Llama-3.3-70B-Instruct.
  • Llama-3.3-70B-Instruct is cheaper at $0.10 / $0.32 per million input/output tokens, against $2 / $10 for Claude Sonnet 5.5.
  • Claude Sonnet 5.5 accepts more context: 1M tokens versus 128K.
  • Llama-3.3-70B-Instruct has downloadable open weights; the other is API-only.

Side by side

Claude Sonnet 5.5Llama-3.3-70B-Instruct
ProviderAnthropicMeta
Noometry Index61.930.6
Released2026-09-282024-12-06
WeightsProprietaryOpen
Context window1M128K
Max output128K4K
Input $ / M tokens$2$0.10
Output $ / M tokens$10$0.32
Results tracked3243

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Category by category

Coding Claude Sonnet 5.5 leads

Claude Sonnet 5.5: 67.3 (#6), Llama-3.3-70B-Instruct: 31.0 (#290)

BenchmarkClaude Sonnet 5.5Llama-3.3-70B-Instruct
SciCode61%26%
LMArena Coding15131268
FrontierCode52.1%—
CursorBench55.5%—
LMArena WebDev1774—
FrontierSWE61.9%—
WeirdML—14.4%
BigCodeBench Instruct—46.9%
LiveBench Coding—36.6%
BigCodeBench Complete—57.5%
ALE-Bench1,819—

Agentic & Tool Use Claude Sonnet 5.5 leads

Claude Sonnet 5.5: 45.0 (#16), Llama-3.3-70B-Instruct: 25.8 (#105)

BenchmarkClaude Sonnet 5.5Llama-3.3-70B-Instruct
APEX-Agents75.5%—
Berkeley Function Calling Leaderboard—31.9%
BALROG—23%

Reasoning Claude Sonnet 5.5 leads

Claude Sonnet 5.5: 54.0 (#28), Llama-3.3-70B-Instruct: 14.1 (#327)

BenchmarkClaude Sonnet 5.5Llama-3.3-70B-Instruct
CritPt31.4%0%
LMArena Hard Prompts14951257
Epoch Capabilities Index165.03127.33
SimpleBench—19.9%
NYT Connections (extended)80.5%—
LiveBench Reasoning—50.8%
Mystery Game Puzzles65%—
DTBench—59.5%
LiveBench Data Analysis—49.5%
LMCA—17.5%
ForecastBench—58.6
LiveBench—50.2%

Math Claude Sonnet 5.5 leads

Claude Sonnet 5.5: 87.9 (#6), Llama-3.3-70B-Instruct: 15.3 (#298)

BenchmarkClaude Sonnet 5.5Llama-3.3-70B-Instruct
OTIS Mock AIME 2024-2025100%5.1%
LMArena Math15101267
FrontierMath (Tiers 1-3)88.8%—
FrontierMath Tier 480.5%—
ProofBench100%—
LiveBench Math—42.2%
MATH Level 5—41.6%
FrontierMath Erdős2.9%—

Knowledge Claude Sonnet 5.5 leads

Claude Sonnet 5.5: 66.0 (#12), Llama-3.3-70B-Instruct: 30.6 (#226)

BenchmarkClaude Sonnet 5.5Llama-3.3-70B-Instruct
GPQA Diamond95.6%47.4%
LMArena Expert15401225
SimpleQA Verified46.5%—
Confabulations—22.8%
Vectara Hallucination Rate—4.1%
MMLU—86.3%

Multimodal Not comparable

Claude Sonnet 5.5: 51.5 (#6), Llama-3.3-70B-Instruct: —

BenchmarkClaude Sonnet 5.5Llama-3.3-70B-Instruct
LMArena Vision1289—
Furniture Assembly75%—

Multilingual Claude Sonnet 5.5 leads

Claude Sonnet 5.5: 55.3 (#30), Llama-3.3-70B-Instruct: 39.9 (#220)

BenchmarkClaude Sonnet 5.5Llama-3.3-70B-Instruct
LMArena Non-English14521236
LMArena Chinese15221217
LMArena Russian14511252
LMArena French—1281
LMArena German—1251
LMArena Japanese—1150
LMArena Korean—1143
LMArena Spanish—1270

Instruction Following Claude Sonnet 5.5 leads

Claude Sonnet 5.5: 78.3 (#11), Llama-3.3-70B-Instruct: 71.1 (#157)

BenchmarkClaude Sonnet 5.5Llama-3.3-70B-Instruct
LMArena Instruction Following14951242
LiveBench Instruction Following—82.7%

Long Context Claude Sonnet 5.5 leads

Claude Sonnet 5.5: 45.9 (#28), Llama-3.3-70B-Instruct: 26.4 (#295)

BenchmarkClaude Sonnet 5.5Llama-3.3-70B-Instruct
LMArena Longer Query14981256
Fiction.LiveBench—33.3%

Writing & Preference Claude Sonnet 5.5 leads

Claude Sonnet 5.5: 66.0 (#40), Llama-3.3-70B-Instruct: 47.6 (#207)

BenchmarkClaude Sonnet 5.5Llama-3.3-70B-Instruct
LMArena Text14711274
LMArena Creative Writing14651250
LMArena Multi-Turn14741280
LiveBench Language—39.2%

Frequently asked questions

Is Claude Sonnet 5.5 better than Llama-3.3-70B-Instruct?

Claude Sonnet 5.5 is the stronger model overall, scoring 61.9 to 30.6 on the Noometry Index. Llama-3.3-70B-Instruct costs 26× less per token, which makes it the better buy when Claude Sonnet 5.5's lead doesn't matter for your workload.

Which is cheaper, Claude Sonnet 5.5 or Llama-3.3-70B-Instruct?

Llama-3.3-70B-Instruct is cheaper. It lists at $0.10 per million input tokens and $0.32 per million output tokens; Claude Sonnet 5.5 lists at $2 and $10.

Is Claude Sonnet 5.5 or Llama-3.3-70B-Instruct better for coding?

Claude Sonnet 5.5 scores higher on coding benchmarks: 67.3 versus 31.0 in the Noometry coding category.

Which has the bigger context window?

Claude Sonnet 5.5 does, with 1M tokens against 128K.

How many benchmarks do Claude Sonnet 5.5 and Llama-3.3-70B-Instruct share?

17 benchmarks have published results for both models. Claude Sonnet 5.5 has 32 scored results on Noometry and Llama-3.3-70B-Instruct has 43.

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