Model comparison

Claude Opus 4 vs Nvidia Llama 3.3 Nemotron Super 49b v1.5

Claude Opus 4 is the stronger model overall, scoring 43.1 to 40.3 on the Noometry Index. Nvidia Llama 3.3 Nemotron Super 49b v1.5 costs 75× less per token, which makes it the better buy when Claude Opus 4's lead doesn't matter for your workload.

Last verified October 10, 2026. 12 shared benchmarks.

Claude Opus 4 Anthropic

43.1

Rank #100 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. Claude Opus 4 scores higher in 7 categories and Nvidia Llama 3.3 Nemotron Super 49b v1.5 in 1 category; 6 gaps are clear of the uncertainty.
The widest gap is in instruction following, where Claude Opus 4 leads 77.1 to 68.6.
Nvidia Llama 3.3 Nemotron Super 49b v1.5 is cheaper at $0.40 / $0.40 per million input/output tokens, against $15 / $75 for Claude Opus 4.
Claude Opus 4 accepts more context: 200K tokens versus 131K.
Nvidia Llama 3.3 Nemotron Super 49b v1.5 has downloadable open weights; the other is API-only.

Side by side

Claude Opus 4 and Nvidia Llama 3.3 Nemotron Super 49b v1.5 specifications
	Claude Opus 4	Nvidia Llama 3.3 Nemotron Super 49b v1.5
Provider	Anthropic	NVIDIA
Noometry Index	43.1	40.3
Released	2025-05-22	2025-07-25
Weights	Proprietary	Open
Context window	200K	131K
Max output	32K	131K
Input $ / M tokens	$15	$0.40
Output $ / M tokens	$75	$0.40
Results tracked	56	12

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Category by category

Coding Claude Opus 4 leads

Claude Opus 4: 47.2 (#62), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 39.8 (#154)

Coding benchmarks
Benchmark	Claude Opus 4	Nvidia Llama 3.3 Nemotron Super 49b v1.5
LMArena Coding	1442	1355
SWE-bench Verified	70.7%	—
SWE-bench Verified (bash only)	67.6%	—
Aider Polyglot	72%	—
GSO	6.9%	—
WeirdML	43.7%	—
AlgoTune	1.33	—

Agentic & Tool Use Not comparable

Claude Opus 4: 34.8 (#42), Nvidia Llama 3.3 Nemotron Super 49b v1.5: —

Agentic & Tool Use benchmarks
Benchmark	Claude Opus 4	Nvidia Llama 3.3 Nemotron Super 49b v1.5
Cybench	38%	—
DeepResearch Bench	46.8%	—
LMArena Search	1127	—
METR Time Horizons	63.9%	—

Reasoning Too close to call

Claude Opus 4: 27.3 (#121), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 26.8 (#128)

Reasoning benchmarks
Benchmark	Claude Opus 4	Nvidia Llama 3.3 Nemotron Super 49b v1.5
LMArena Hard Prompts	1399	1336
ARC-AGI-2	8.6%	—
SimpleBench	58.8%	—
Kagi LLM Benchmark	74.3%	—
ARC-AGI-1	35.7%	—
CritPt	0.3%	—
EnigmaEval	5.6%	—
DTBench	81.6%	—
LMCA	37.4%	—
Epoch Capabilities Index	142.67	—
ForecastBench	61.1	—

Math Claude Opus 4 leads

Claude Opus 4: 42.0 (#86), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 38.2 (#141)

Math benchmarks
Benchmark	Claude Opus 4	Nvidia Llama 3.3 Nemotron Super 49b v1.5
LMArena Math	1390	1392
OTIS Mock AIME 2024-2025	64.4%	—
Omni-MATH	61.6%	—
MATH Level 5	85%	—
FrontierMath (Feb 2025 set)	4.5%	—
FrontierMath Tier 4 (v1)	4.2%	—

Knowledge Claude Opus 4 leads

Claude Opus 4: 44.0 (#88), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 36.7 (#165)

Knowledge benchmarks
Benchmark	Claude Opus 4	Nvidia Llama 3.3 Nemotron Super 49b v1.5
LMArena Expert	1386	1330
GPQA Diamond	76.3%	—
Humanity's Last Exam	10.7%	—
MMLU-Pro	87.5%	—
Confabulations	15.9%	—
Vectara Hallucination Rate	12%	—
GPQA (HELM)	70.8%	—

Multimodal Not comparable

Claude Opus 4: 31.5 (#106), Nvidia Llama 3.3 Nemotron Super 49b v1.5: —

Multimodal benchmarks
Benchmark	Claude Opus 4	Nvidia Llama 3.3 Nemotron Super 49b v1.5
LMArena Vision	1192	—
GeoBench	49%	—
VPCT	38%	—

Multilingual Claude Opus 4 leads

Claude Opus 4: 48.8 (#138), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 45.5 (#168)

Multilingual benchmarks
Benchmark	Claude Opus 4	Nvidia Llama 3.3 Nemotron Super 49b v1.5
LMArena Non-English	1362	1316
LMArena Japanese	1331	1300
LMArena Russian	1392	1332
LMArena Chinese	1386	—
LMArena French	1372	—
LMArena German	1391	—
LMArena Korean	1321	—
LMArena Spanish	1389	—

Instruction Following Claude Opus 4 leads

Claude Opus 4: 77.1 (#28), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 68.6 (#188)

Instruction Following benchmarks
Benchmark	Claude Opus 4	Nvidia Llama 3.3 Nemotron Super 49b v1.5
LMArena Instruction Following	1406	1299
IFEval	91.8%	—

Long Context Too close to call

Claude Opus 4: 39.6 (#172), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 40.0 (#164)

Long Context benchmarks
Benchmark	Claude Opus 4	Nvidia Llama 3.3 Nemotron Super 49b v1.5
LMArena Longer Query	1422	1315
Fiction.LiveBench	61.1%	—

Writing & Preference Claude Opus 4 leads

Claude Opus 4: 61.2 (#89), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 53.1 (#159)

Writing & Preference benchmarks
Benchmark	Claude Opus 4	Nvidia Llama 3.3 Nemotron Super 49b v1.5
LMArena Text	1377	1338
LMArena Creative Writing	1387	1307
LMArena Multi-Turn	1396	1334
Short-Story Creative Writing	83.6%	—
EQ-Bench Creative Writing	1580	—
WildBench	85.2%	—

Frequently asked questions

Is Claude Opus 4 better than Nvidia Llama 3.3 Nemotron Super 49b v1.5?

Which is cheaper, Claude Opus 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; Claude Opus 4 lists at $15 and $75.

Is Claude Opus 4 or Nvidia Llama 3.3 Nemotron Super 49b v1.5 better for coding?

Claude Opus 4 scores higher on coding benchmarks: 47.2 versus 39.8 in the Noometry coding category.

Which has the bigger context window?

Claude Opus 4 does, with 200K tokens against 131K.

How many benchmarks do Claude Opus 4 and Nvidia Llama 3.3 Nemotron Super 49b v1.5 share?

12 benchmarks have published results for both models. Claude Opus 4 has 56 scored results on Noometry and Nvidia Llama 3.3 Nemotron Super 49b v1.5 has 12.