Model comparison

Llama 3.1 Nemotron Ultra 253b v1 vs Qwen3.7 Max

Qwen3.7 Max is the stronger model overall, scoring 51.5 to 36.7 on the Noometry Index.

Last verified . 10 shared benchmarks.

Qwen3.7 Max Alibaba (Qwen)

51.5

Rank #42 Confirmed

Summary

  • They share 10 benchmarks with published results for both. Llama 3.1 Nemotron Ultra 253b v1 scores higher in 0 categories and Qwen3.7 Max in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where Qwen3.7 Max leads 62.4 to 37.5.
  • Llama 3.1 Nemotron Ultra 253b v1 has downloadable open weights; the other is API-only.

Side by side

Llama 3.1 Nemotron Ultra 253b v1 and Qwen3.7 Max specifications
Llama 3.1 Nemotron Ultra 253b v1Qwen3.7 Max
ProviderNVIDIAAlibaba (Qwen)
Noometry Index36.751.5
Released—2026-05-19
WeightsOpenProprietary
Context window—1M
Max output—131K
Input $ / M tokens—$2.50
Output $ / M tokens—$7.50
Results tracked1133

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Category by category

Coding Qwen3.7 Max leads

Llama 3.1 Nemotron Ultra 253b v1: 38.4 (#177), Qwen3.7 Max: 50.4 (#45)

Coding benchmarks
BenchmarkLlama 3.1 Nemotron Ultra 253b v1Qwen3.7 Max
LMArena Coding13121498
SWE-bench Verified—77.3%
LMArena WebDev—1515
SciCode—48.8%
ALE-Bench—1,189

Agentic & Tool Use Qwen3.7 Max leads

Llama 3.1 Nemotron Ultra 253b v1: 15.7 (#149), Qwen3.7 Max: 22.1 (#135)

Agentic & Tool Use benchmarks
BenchmarkLlama 3.1 Nemotron Ultra 253b v1Qwen3.7 Max
Berkeley Function Calling Leaderboard10%—
GBAEval—0.4%

Reasoning Qwen3.7 Max leads

Llama 3.1 Nemotron Ultra 253b v1: 26.3 (#134), Qwen3.7 Max: 49.2 (#38)

Reasoning benchmarks
BenchmarkLlama 3.1 Nemotron Ultra 253b v1Qwen3.7 Max
LMArena Hard Prompts13161483
SimpleBench—70.4%
NYT Connections (extended)—85.1%
CritPt—13.4%
Chess Puzzles—19%
EBR-Bench—9.5%
Mystery Game Puzzles—32%
DTBench—92.3%
LMCA—44%
Epoch Capabilities Index—153.68

Math Qwen3.7 Max leads

Llama 3.1 Nemotron Ultra 253b v1: 37.5 (#152), Qwen3.7 Max: 62.4 (#32)

Math benchmarks
BenchmarkLlama 3.1 Nemotron Ultra 253b v1Qwen3.7 Max
LMArena Math13601490
FrontierMath (Tiers 1-3)—64.6%
FrontierMath Tier 4—34.1%
OTIS Mock AIME 2024-2025—95.6%
ProofBench—26%

Knowledge Not comparable

Llama 3.1 Nemotron Ultra 253b v1: —, Qwen3.7 Max: 61.6 (#28)

Knowledge benchmarks
BenchmarkLlama 3.1 Nemotron Ultra 253b v1Qwen3.7 Max
GPQA Diamond—90.9%
SimpleQA Verified—55.8%
LMArena Expert—1488

Multilingual Qwen3.7 Max leads

Llama 3.1 Nemotron Ultra 253b v1: 43.1 (#187), Qwen3.7 Max: 56.9 (#15)

Multilingual benchmarks
BenchmarkLlama 3.1 Nemotron Ultra 253b v1Qwen3.7 Max
LMArena Non-English12821474
LMArena Russian12841484
LMArena Chinese—1530

Instruction Following Qwen3.7 Max leads

Llama 3.1 Nemotron Ultra 253b v1: 69.0 (#178), Qwen3.7 Max: 76.7 (#38)

Instruction Following benchmarks
BenchmarkLlama 3.1 Nemotron Ultra 253b v1Qwen3.7 Max
LMArena Instruction Following13081460

Long Context Qwen3.7 Max leads

Llama 3.1 Nemotron Ultra 253b v1: 39.5 (#177), Qwen3.7 Max: 45.4 (#40)

Long Context benchmarks
BenchmarkLlama 3.1 Nemotron Ultra 253b v1Qwen3.7 Max
LMArena Longer Query12991482

Writing & Preference Qwen3.7 Max leads

Llama 3.1 Nemotron Ultra 253b v1: 52.2 (#175), Qwen3.7 Max: 65.0 (#54)

Writing & Preference benchmarks
BenchmarkLlama 3.1 Nemotron Ultra 253b v1Qwen3.7 Max
LMArena Text13201476
LMArena Creative Writing13141449
LMArena Multi-Turn13171481
EQ-Bench 4—1110

Frequently asked questions

Is Llama 3.1 Nemotron Ultra 253b v1 better than Qwen3.7 Max?

Qwen3.7 Max is the stronger model overall, scoring 51.5 to 36.7 on the Noometry Index.

Is Llama 3.1 Nemotron Ultra 253b v1 or Qwen3.7 Max better for coding?

Qwen3.7 Max scores higher on coding benchmarks: 50.4 versus 38.4 in the Noometry coding category.

How many benchmarks do Llama 3.1 Nemotron Ultra 253b v1 and Qwen3.7 Max share?

10 benchmarks have published results for both models. Llama 3.1 Nemotron Ultra 253b v1 has 11 scored results on Noometry and Qwen3.7 Max has 33.

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