Model comparison

GPT-5.5 Instant vs Llama 3.1-70B

GPT-5.5 Instant is the stronger model overall, scoring 42.7 to 29.6 on the Noometry Index.

Last verified . 20 shared benchmarks.

GPT-5.5 Instant OpenAI

42.7

Rank #110 Confirmed

Llama 3.1-70B Meta

29.6

Rank #308 Confirmed

Summary

  • They share 20 benchmarks with published results for both. GPT-5.5 Instant scores higher in 8 categories and Llama 3.1-70B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where GPT-5.5 Instant leads 61.8 to 35.4.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 68.1% for GPT-5.5 Instant and 3.6% for Llama 3.1-70B.
  • Llama 3.1-70B has downloadable open weights; the other is API-only.

Side by side

GPT-5.5 Instant and Llama 3.1-70B specifications
GPT-5.5 InstantLlama 3.1-70B
ProviderOpenAIMeta
Noometry Index42.729.6
Released2026-05-052024-07-23
WeightsProprietaryOpen
Context window—128K
Max output—4K
Input $ / M tokens—$0.40
Output $ / M tokens—$0.40
Results tracked2735

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding GPT-5.5 Instant leads

GPT-5.5 Instant: 44.3 (#74), Llama 3.1-70B: 30.3 (#296)

Coding benchmarks
BenchmarkGPT-5.5 InstantLlama 3.1-70B
LMArena Coding14331260
SciCode48.6%—
WeirdML—9%
BigCodeBench Instruct—46.1%
BigCodeBench Complete—54.8%

Agentic & Tool Use Not comparable

GPT-5.5 Instant: —, Llama 3.1-70B: 25.1 (#112)

Agentic & Tool Use benchmarks
BenchmarkGPT-5.5 InstantLlama 3.1-70B
TheAgentCompany—6.9%
BALROG—27.9%

Reasoning GPT-5.5 Instant leads

GPT-5.5 Instant: 24.9 (#155), Llama 3.1-70B: 21.6 (#220)

Reasoning benchmarks
BenchmarkGPT-5.5 InstantLlama 3.1-70B
LMArena Hard Prompts14261241
Epoch Capabilities Index142.52125.92
CritPt0%—
Chess Puzzles12%—
DTBench—60%
LMCA—14.8%

Math GPT-5.5 Instant leads

GPT-5.5 Instant: 26.5 (#259), Llama 3.1-70B: 13.5 (#304)

Math benchmarks
BenchmarkGPT-5.5 InstantLlama 3.1-70B
OTIS Mock AIME 2024-202568.1%3.6%
LMArena Math14201252
FrontierMath (Tiers 1-3)26.3%—
FrontierMath Tier 42.4%—
Omni-MATH—21%
MATH Level 5—36.7%

Knowledge GPT-5.5 Instant leads

GPT-5.5 Instant: 48.9 (#74), Llama 3.1-70B: 24.2 (#269)

Knowledge benchmarks
BenchmarkGPT-5.5 InstantLlama 3.1-70B
GPQA Diamond82.5%44.2%
LMArena Expert14091209
MMLU-Pro—65.3%
GPQA (HELM)—42.6%
MMLU—80.1%

Multimodal Not comparable

GPT-5.5 Instant: 40.0 (#52), Llama 3.1-70B: —

Multimodal benchmarks
BenchmarkGPT-5.5 InstantLlama 3.1-70B
LMArena Vision1250—
LMArena Document1403—

Multilingual GPT-5.5 Instant leads

GPT-5.5 Instant: 52.8 (#80), Llama 3.1-70B: 38.8 (#225)

Multilingual benchmarks
BenchmarkGPT-5.5 InstantLlama 3.1-70B
LMArena Non-English14171219
LMArena Chinese14561215
LMArena French14281261
LMArena German14111222
LMArena Japanese14081132
LMArena Korean13921140
LMArena Russian14311234
LMArena Spanish14291253

Instruction Following GPT-5.5 Instant leads

GPT-5.5 Instant: 74.2 (#100), Llama 3.1-70B: 65.3 (#223)

Instruction Following benchmarks
BenchmarkGPT-5.5 InstantLlama 3.1-70B
LMArena Instruction Following14061231
IFEval—82.1%

Long Context GPT-5.5 Instant leads

GPT-5.5 Instant: 43.4 (#96), Llama 3.1-70B: 37.6 (#214)

Long Context benchmarks
BenchmarkGPT-5.5 InstantLlama 3.1-70B
LMArena Longer Query14221241

Writing & Preference GPT-5.5 Instant leads

GPT-5.5 Instant: 61.8 (#85), Llama 3.1-70B: 35.4 (#267)

Writing & Preference benchmarks
BenchmarkGPT-5.5 InstantLlama 3.1-70B
LMArena Text14191261
LMArena Creative Writing14191232
LMArena Multi-Turn14331256
EQ-Bench Creative Writing—784
WildBench—75.8%

Frequently asked questions

Is GPT-5.5 Instant better than Llama 3.1-70B?

GPT-5.5 Instant is the stronger model overall, scoring 42.7 to 29.6 on the Noometry Index.

Is GPT-5.5 Instant or Llama 3.1-70B better for coding?

GPT-5.5 Instant scores higher on coding benchmarks: 44.3 versus 30.3 in the Noometry coding category.

How many benchmarks do GPT-5.5 Instant and Llama 3.1-70B share?

20 benchmarks have published results for both models. GPT-5.5 Instant has 27 scored results on Noometry and Llama 3.1-70B has 35.

Related comparisons

Go deeper