Noometry

Model comparison

GPT-5.4 vs Nvidia Llama 3.3 Nemotron Super 49b v1.5

GPT-5.4 is the stronger model overall, scoring 59.4 to 40.3 on the Noometry Index. Nvidia Llama 3.3 Nemotron Super 49b v1.5 costs 14× less per token, which makes it the better buy when GPT-5.4's lead doesn't matter for your workload.

Last verified . 12 shared benchmarks.

GPT-5.4 OpenAI

59.4

Rank #16 Confirmed

Nvidia Llama 3.3 Nemotron Super 49b v1.5 NVIDIA

40.3

Rank #151 Confirmed

Summary

  • They share 12 benchmarks with published results for both. GPT-5.4 scores higher in 8 categories and Nvidia Llama 3.3 Nemotron Super 49b v1.5 in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-5.4 leads 73.5 to 38.2.
  • Nvidia Llama 3.3 Nemotron Super 49b v1.5 is cheaper at $0.40 / $0.40 per million input/output tokens, against $2.50 / $15 for GPT-5.4.
  • GPT-5.4 accepts more context: 1.05M tokens versus 131K.
  • Nvidia Llama 3.3 Nemotron Super 49b v1.5 has downloadable open weights; the other is API-only.

Side by side

GPT-5.4Nvidia Llama 3.3 Nemotron Super 49b v1.5
ProviderOpenAINVIDIA
Noometry Index59.440.3
Released2026-03-052025-07-25
WeightsProprietaryOpen
Context window1.05M131K
Max output128K131K
Input $ / M tokens$2.50$0.40
Output $ / M tokens$15$0.40
Results tracked6812

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Category by category

Coding GPT-5.4 leads

GPT-5.4: 52.6 (#33), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 39.8 (#154)

BenchmarkGPT-5.4Nvidia Llama 3.3 Nemotron Super 49b v1.5
LMArena Coding14971355
SWE-bench Verified76.9%—
DeepSWE51.8%—
LMArena WebDev1465—
SciCode56.6%—
GSO31.4%—
WeirdML77.7%—
MirrorCode15.6%—
ALE-Bench1,607—
AlgoTune1.85—

Agentic & Tool Use Not comparable

GPT-5.4: 46.5 (#13), Nvidia Llama 3.3 Nemotron Super 49b v1.5: —

BenchmarkGPT-5.4Nvidia Llama 3.3 Nemotron Super 49b v1.5
Terminal-Bench81.8%—
APEX-Agents52.4%—
τ²-bench Banking39.4%—
DeepResearch Bench35.1%—
PostTrainBench19%—
GBAEval45.1%—
LMArena Search1197—
METR Time Horizons74.3%—
Vending-Bench 26,144—

Reasoning GPT-5.4 leads

GPT-5.4: 61.8 (#19), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 26.8 (#128)

BenchmarkGPT-5.4Nvidia Llama 3.3 Nemotron Super 49b v1.5
LMArena Hard Prompts14851336
ARC-AGI-274%—
Kagi LLM Benchmark63.8%—
NYT Connections (extended)91.3%—
ARC-AGI-193.7%—
CritPt23.4%—
Chess Puzzles44%—
EnigmaEval16%—
Thematic Generalization80%—
EBR-Bench25.4%—
Mystery Game Puzzles37%—
DTBench94.4%—
LMCA52%—
Epoch Capabilities Index156.81—
ForecastBench59.5—

Math GPT-5.4 leads

GPT-5.4: 73.5 (#19), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 38.2 (#141)

BenchmarkGPT-5.4Nvidia Llama 3.3 Nemotron Super 49b v1.5
LMArena Math14881392
FrontierMath (Tiers 1-3)78.6%—
FrontierMath Tier 449%—
MathArena Final-Answer Competitions83.1%—
OTIS Mock AIME 2024-202597.8%—
ProofBench56%—
FrontierMath (Feb 2025 set)47.6%—
FrontierMath Tier 4 (v1)27.1%—

Knowledge GPT-5.4 leads

GPT-5.4: 65.3 (#14), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 36.7 (#165)

BenchmarkGPT-5.4Nvidia Llama 3.3 Nemotron Super 49b v1.5
LMArena Expert15071330
GPQA Diamond93.3%—
Humanity's Last Exam36.2%—
SimpleQA Verified45.1%—
Vectara Hallucination Rate7%—

Multimodal Not comparable

GPT-5.4: 43.7 (#20), Nvidia Llama 3.3 Nemotron Super 49b v1.5: —

BenchmarkGPT-5.4Nvidia Llama 3.3 Nemotron Super 49b v1.5
LMArena Vision1303—
Blueprint-Bench 227.1%—
Furniture Assembly37.5%—
LMArena Document1471—

Multilingual GPT-5.4 leads

GPT-5.4: 56.2 (#23), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 45.5 (#168)

BenchmarkGPT-5.4Nvidia Llama 3.3 Nemotron Super 49b v1.5
LMArena Non-English14651316
LMArena Japanese14851300
LMArena Russian14801332
LMArena Chinese1519—
LMArena French1493—
LMArena German1472—
LMArena Korean1448—
LMArena Spanish1454—

Instruction Following GPT-5.4 leads

GPT-5.4: 77.1 (#27), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 68.6 (#188)

BenchmarkGPT-5.4Nvidia Llama 3.3 Nemotron Super 49b v1.5
LMArena Instruction Following14691299

Long Context GPT-5.4 leads

GPT-5.4: 50.3 (#8), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 40.0 (#164)

BenchmarkGPT-5.4Nvidia Llama 3.3 Nemotron Super 49b v1.5
LMArena Longer Query14731315
CL-bench27.9%—
CL-bench Life21.7%—

Writing & Preference GPT-5.4 leads

GPT-5.4: 71.9 (#17), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 53.1 (#159)

BenchmarkGPT-5.4Nvidia Llama 3.3 Nemotron Super 49b v1.5
LMArena Text14691338
LMArena Creative Writing14391307
LMArena Multi-Turn14821334
EQ-Bench Creative Writing1840—
EQ-Bench 41272—

Frequently asked questions

Is GPT-5.4 better than Nvidia Llama 3.3 Nemotron Super 49b v1.5?

GPT-5.4 is the stronger model overall, scoring 59.4 to 40.3 on the Noometry Index. Nvidia Llama 3.3 Nemotron Super 49b v1.5 costs 14× less per token, which makes it the better buy when GPT-5.4's lead doesn't matter for your workload.

Which is cheaper, GPT-5.4 or Nvidia Llama 3.3 Nemotron Super 49b v1.5?

Nvidia Llama 3.3 Nemotron Super 49b v1.5 is cheaper. It lists at $0.40 per million input tokens and $0.40 per million output tokens; GPT-5.4 lists at $2.50 and $15.

Is GPT-5.4 or Nvidia Llama 3.3 Nemotron Super 49b v1.5 better for coding?

GPT-5.4 scores higher on coding benchmarks: 52.6 versus 39.8 in the Noometry coding category.

Which has the bigger context window?

GPT-5.4 does, with 1.05M tokens against 131K.

How many benchmarks do GPT-5.4 and Nvidia Llama 3.3 Nemotron Super 49b v1.5 share?

12 benchmarks have published results for both models. GPT-5.4 has 68 scored results on Noometry and Nvidia Llama 3.3 Nemotron Super 49b v1.5 has 12.

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