Noometry

Model comparison

Llama2 70b Steerlm Chat vs Qwen3.8 Max

Qwen3.8 Max is the stronger model overall, scoring 56.8 to 31.8 on the Noometry Index.

Last verified . 9 shared benchmarks.

Llama2 70b Steerlm Chat NVIDIA

31.8

Rank #268 Confirmed

Qwen3.8 Max Alibaba (Qwen)

56.8

Rank #22 Confirmed

Summary

  • They share 9 benchmarks with published results for both. Llama2 70b Steerlm Chat scores higher in 0 categories and Qwen3.8 Max in 7 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in math, where Qwen3.8 Max leads 73.2 to 31.3.
  • Llama2 70b Steerlm Chat has downloadable open weights; the other is API-only.

Side by side

Llama2 70b Steerlm ChatQwen3.8 Max
ProviderNVIDIAAlibaba (Qwen)
Noometry Index31.856.8
Released—2026-08-02
WeightsOpenProprietary
Context window—1M
Max output—131K
Input $ / M tokens—$2
Output $ / M tokens—$6
Results tracked939

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Category by category

Coding Qwen3.8 Max leads

Llama2 70b Steerlm Chat: 29.9 (#300), Qwen3.8 Max: 53.5 (#29)

BenchmarkLlama2 70b Steerlm ChatQwen3.8 Max
LMArena Coding10251502
DeepSWE—57.5%
LMArena WebDev—1674
FrontierSWE—17.8%
SciCode—53.2%

Agentic & Tool Use Not comparable

Llama2 70b Steerlm Chat: —, Qwen3.8 Max: 45.4 (#14)

BenchmarkLlama2 70b Steerlm ChatQwen3.8 Max
APEX-Agents—63.3%
τ²-bench Banking—55.1%
GDP.pdf—23.2%

Reasoning Qwen3.8 Max leads

Llama2 70b Steerlm Chat: 20.0 (#246), Qwen3.8 Max: 54.4 (#26)

BenchmarkLlama2 70b Steerlm ChatQwen3.8 Max
LMArena Hard Prompts10471496
NYT Connections (extended)—88.3%
CritPt—20%
Chess Puzzles—40%
Mystery Game Puzzles—38%
DTBench—92%
LMCA—46.2%
Epoch Capabilities Index—156.41

Math Qwen3.8 Max leads

Llama2 70b Steerlm Chat: 31.3 (#226), Qwen3.8 Max: 73.2 (#20)

BenchmarkLlama2 70b Steerlm ChatQwen3.8 Max
LMArena Math10721499
FrontierMath (Tiers 1-3)—74.7%
FrontierMath Tier 4—46.3%
OTIS Mock AIME 2024-2025—100%
ProofBench—58%

Knowledge Not comparable

Llama2 70b Steerlm Chat: —, Qwen3.8 Max: 61.7 (#27)

BenchmarkLlama2 70b Steerlm ChatQwen3.8 Max
GPQA Diamond—92.7%
SimpleQA Verified—47.3%
LMArena Expert—1507

Multimodal Not comparable

Llama2 70b Steerlm Chat: —, Qwen3.8 Max: 37.2 (#75)

BenchmarkLlama2 70b Steerlm ChatQwen3.8 Max
LMArena Vision—1314
Furniture Assembly—20%

Multilingual Qwen3.8 Max leads

Llama2 70b Steerlm Chat: 28.8 (#270), Qwen3.8 Max: 56.7 (#18)

BenchmarkLlama2 70b Steerlm ChatQwen3.8 Max
LMArena Non-English10631472
LMArena Chinese—1538
LMArena French—1503
LMArena German—1483
LMArena Japanese—1467
LMArena Korean—1461
LMArena Russian—1481
LMArena Spanish—1492

Instruction Following Qwen3.8 Max leads

Llama2 70b Steerlm Chat: 54.2 (#279), Qwen3.8 Max: 77.6 (#17)

BenchmarkLlama2 70b Steerlm ChatQwen3.8 Max
LMArena Instruction Following10601479

Long Context Qwen3.8 Max leads

Llama2 70b Steerlm Chat: 30.4 (#288), Qwen3.8 Max: 45.6 (#31)

BenchmarkLlama2 70b Steerlm ChatQwen3.8 Max
LMArena Longer Query9981489

Writing & Preference Qwen3.8 Max leads

Llama2 70b Steerlm Chat: 31.6 (#283), Qwen3.8 Max: 67.1 (#30)

BenchmarkLlama2 70b Steerlm ChatQwen3.8 Max
LMArena Text10981483
LMArena Creative Writing10911479
LMArena Multi-Turn10581489

Frequently asked questions

Is Llama2 70b Steerlm Chat better than Qwen3.8 Max?

Qwen3.8 Max is the stronger model overall, scoring 56.8 to 31.8 on the Noometry Index.

Is Llama2 70b Steerlm Chat or Qwen3.8 Max better for coding?

Qwen3.8 Max scores higher on coding benchmarks: 53.5 versus 29.9 in the Noometry coding category.

How many benchmarks do Llama2 70b Steerlm Chat and Qwen3.8 Max share?

9 benchmarks have published results for both models. Llama2 70b Steerlm Chat has 9 scored results on Noometry and Qwen3.8 Max has 39.

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