Model comparison

Inkling vs Llama 3-70B

Inkling is the stronger model overall, scoring 44.1 to 28.5 on the Noometry Index.

Last verified . 21 shared benchmarks.

Inkling Thinking Machines Lab

44.1

Rank #75 Confirmed

Llama 3-70B Meta

28.5

Rank #317 Confirmed

Summary

  • They share 21 benchmarks with published results for both. Inkling scores higher in 8 categories and Llama 3-70B in 1 category; 9 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Inkling leads 55.2 to 20.8.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 88.9% for Inkling and 4.3% for Llama 3-70B.

Side by side

Inkling and Llama 3-70B specifications
InklingLlama 3-70B
ProviderThinking Machines LabMeta
Noometry Index44.128.5
Released2026-07-152024-04-18
WeightsOpenOpen
Context window66K—
Max output66K—
Input $ / M tokens$1.87—
Output $ / M tokens$4.68—
Results tracked4131

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Category by category

Coding Llama 3-70B leads

Inkling: 34.1 (#229), Llama 3-70B: 35.3 (#215)

Coding benchmarks
BenchmarkInklingLlama 3-70B
LMArena Coding14631206
FrontierCode14%—
LMArena WebDev1412—
FrontierSWE4.1%—
SciCode47%—
WeirdML32.3%—
BigCodeBench Instruct—43.6%
BigCodeBench Complete—54.5%
ALE-Bench946—
HumanEval+—72%
MBPP+—69%

Agentic & Tool Use Inkling leads

Inkling: 29.5 (#76), Llama 3-70B: 20.9 (#132)

Agentic & Tool Use benchmarks
BenchmarkInklingLlama 3-70B
APEX-Agents33.8%—
τ²-bench Banking25%—
Cybench—5%

Reasoning Inkling leads

Inkling: 40.6 (#48), Llama 3-70B: 17.4 (#284)

Reasoning benchmarks
BenchmarkInklingLlama 3-70B
LMArena Hard Prompts14521195
DTBench87.5%54.2%
Epoch Capabilities Index148.6122.91
ARC-AGI-236.5%—
SimpleBench50%—
Kagi LLM Benchmark—35.1%
ARC-AGI-179.5%—
CritPt5.4%—
Chess Puzzles21%—
LMCA37.6%—
ForecastBench—57.1
WinoGrande—83.5%

Math Inkling leads

Inkling: 31.2 (#198), Llama 3-70B: 12.0 (#299)

Math benchmarks
BenchmarkInklingLlama 3-70B
OTIS Mock AIME 2024-202588.9%4.3%
LMArena Math14821218
FrontierMath (Tiers 1-3)33.3%—
FrontierMath Tier 44.9%—
ProofBench0%—
MATH Level 5—22.6%

Knowledge Inkling leads

Inkling: 55.2 (#44), Llama 3-70B: 20.8 (#272)

Knowledge benchmarks
BenchmarkInklingLlama 3-70B
GPQA Diamond88.3%40.6%
LMArena Expert14681149
SimpleQA Verified40.3%—
MMLU—79.3%

Multilingual Inkling leads

Inkling: 54.2 (#49), Llama 3-70B: 33.8 (#246)

Multilingual benchmarks
BenchmarkInklingLlama 3-70B
LMArena Non-English14341142
LMArena Chinese14951114
LMArena French14531231
LMArena German14561169
LMArena Japanese14281017
LMArena Korean14011017
LMArena Russian14301159
LMArena Spanish14421241

Instruction Following Inkling leads

Inkling: 75.3 (#65), Llama 3-70B: 62.8 (#233)

Instruction Following benchmarks
BenchmarkInklingLlama 3-70B
LMArena Instruction Following14271194

Long Context Inkling leads

Inkling: 43.9 (#79), Llama 3-70B: 35.6 (#235)

Long Context benchmarks
BenchmarkInklingLlama 3-70B
LMArena Longer Query14361174

Writing & Preference Inkling leads

Inkling: 65.5 (#48), Llama 3-70B: 43.0 (#225)

Writing & Preference benchmarks
BenchmarkInklingLlama 3-70B
LMArena Text14431221
LMArena Creative Writing13901210
LMArena Multi-Turn14361223
EQ-Bench Creative Writing1611—
EQ-Bench 41226—

Frequently asked questions

Is Inkling better than Llama 3-70B?

Inkling is the stronger model overall, scoring 44.1 to 28.5 on the Noometry Index.

Is Inkling or Llama 3-70B better for coding?

Llama 3-70B scores higher on coding benchmarks: 35.3 versus 34.1 in the Noometry coding category.

How many benchmarks do Inkling and Llama 3-70B share?

21 benchmarks have published results for both models. Inkling has 41 scored results on Noometry and Llama 3-70B has 31.

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