Noometry

Model comparison

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

Claude Opus 5 is the stronger model overall, scoring 67.8 to 40.3 on the Noometry Index. Nvidia Llama 3.3 Nemotron Super 49b v1.5 costs 25× less per token, which makes it the better buy when Claude Opus 5's lead doesn't matter for your workload.

Last verified . 12 shared benchmarks.

Claude Opus 5 Anthropic

67.8

Rank #4 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 5 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 reasoning, where Claude Opus 5 leads 77.2 to 26.8.
  • Nvidia Llama 3.3 Nemotron Super 49b v1.5 is cheaper at $0.40 / $0.40 per million input/output tokens, against $5 / $25 for Claude Opus 5.
  • Claude Opus 5 accepts more context: 1M 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 5Nvidia Llama 3.3 Nemotron Super 49b v1.5
ProviderAnthropicNVIDIA
Noometry Index67.840.3
Released2026-07-242025-07-25
WeightsProprietaryOpen
Context window1M131K
Max output128K131K
Input $ / M tokens$5$0.40
Output $ / M tokens$25$0.40
Results tracked5712

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

Category by category

Coding Claude Opus 5 leads

Claude Opus 5: 67.5 (#5), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 39.8 (#154)

BenchmarkClaude Opus 5Nvidia Llama 3.3 Nemotron Super 49b v1.5
LMArena Coding15341355
DeepSWE73.6%—
FrontierCode53.4%—
CursorBench46.6%—
LMArena WebDev1691—
FrontierSWE52%—
SciCode56.4%—
WeirdML91.8%—
ALE-Bench2,165—

Agentic & Tool Use Not comparable

Claude Opus 5: 55.6 (#1), Nvidia Llama 3.3 Nemotron Super 49b v1.5: —

BenchmarkClaude Opus 5Nvidia Llama 3.3 Nemotron Super 49b v1.5
APEX-Agents65.8%—
OSWorld 2.031.4%—
τ²-bench Banking48.7%—
PostTrainBench35%—
BALROG63.4%—
GBAEval79.6%—
GDP.pdf24%—
Vending-Bench 211,182—

Reasoning Claude Opus 5 leads

Claude Opus 5: 77.2 (#4), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 26.8 (#128)

BenchmarkClaude Opus 5Nvidia Llama 3.3 Nemotron Super 49b v1.5
LMArena Hard Prompts15261336
ARC-AGI-290.4%—
SimpleBench80.6%—
NYT Connections (extended)94.3%—
ARC-AGI-197.5%—
CritPt29.1%—
Chess Puzzles42%—
EBR-Bench45.7%—
Mystery Game Puzzles59%—
DTBench97.9%—
LMCA64.5%—
Bench to the Future 30.12—
Epoch Capabilities Index162.78—

Math Claude Opus 5 leads

Claude Opus 5: 86.2 (#8), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 38.2 (#141)

BenchmarkClaude Opus 5Nvidia Llama 3.3 Nemotron Super 49b v1.5
LMArena Math15311392
FrontierMath (Tiers 1-3)85.6%—
FrontierMath Tier 473.2%—
OTIS Mock AIME 2024-202598.9%—
ProofBench99%—

Knowledge Claude Opus 5 leads

Claude Opus 5: 66.8 (#9), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 36.7 (#165)

BenchmarkClaude Opus 5Nvidia Llama 3.3 Nemotron Super 49b v1.5
LMArena Expert15571330
GPQA Diamond93.9%—
SimpleQA Verified59.9%—

Multimodal Not comparable

Claude Opus 5: 50.8 (#8), Nvidia Llama 3.3 Nemotron Super 49b v1.5: —

BenchmarkClaude Opus 5Nvidia Llama 3.3 Nemotron Super 49b v1.5
LMArena Vision1319—
Blueprint-Bench 230.4%—
Furniture Assembly60.8%—
LMArena Document1516—

Multilingual Claude Opus 5 leads

Claude Opus 5: 58.8 (#4), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 45.5 (#168)

BenchmarkClaude Opus 5Nvidia Llama 3.3 Nemotron Super 49b v1.5
LMArena Non-English15011316
LMArena Japanese15161300
LMArena Russian15071332
LMArena Chinese1574—
LMArena French1519—
LMArena German1524—
LMArena Korean1521—
LMArena Spanish1519—

Instruction Following Claude Opus 5 leads

Claude Opus 5: 79.2 (#7), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 68.6 (#188)

BenchmarkClaude Opus 5Nvidia Llama 3.3 Nemotron Super 49b v1.5
LMArena Instruction Following15171299

Long Context Claude Opus 5 leads

Claude Opus 5: 46.5 (#21), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 40.0 (#164)

BenchmarkClaude Opus 5Nvidia Llama 3.3 Nemotron Super 49b v1.5
LMArena Longer Query15151315

Writing & Preference Claude Opus 5 leads

Claude Opus 5: 79.2 (#1), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 53.1 (#159)

BenchmarkClaude Opus 5Nvidia Llama 3.3 Nemotron Super 49b v1.5
LMArena Text15071338
LMArena Creative Writing14911307
LMArena Multi-Turn14991334
EQ-Bench Creative Writing2133—
EQ-Bench 41385—

Frequently asked questions

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

Claude Opus 5 is the stronger model overall, scoring 67.8 to 40.3 on the Noometry Index. Nvidia Llama 3.3 Nemotron Super 49b v1.5 costs 25× less per token, which makes it the better buy when Claude Opus 5's lead doesn't matter for your workload.

Which is cheaper, Claude Opus 5 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 5 lists at $5 and $25.

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

Claude Opus 5 scores higher on coding benchmarks: 67.5 versus 39.8 in the Noometry coding category.

Which has the bigger context window?

Claude Opus 5 does, with 1M tokens against 131K.

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

12 benchmarks have published results for both models. Claude Opus 5 has 57 scored results on Noometry and Nvidia Llama 3.3 Nemotron Super 49b v1.5 has 12.

Related comparisons

Go deeper