Noometry

Model comparison

Llama2 70b Steerlm Chat vs Muse Spark 1.3

Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 31.8 on the Noometry Index.

Last verified . 9 shared benchmarks.

Llama2 70b Steerlm Chat NVIDIA

31.8

Rank #268 Confirmed

Muse Spark 1.3 Meta

54.8

Rank #27 Confirmed

Summary

  • They share 9 benchmarks with published results for both. Llama2 70b Steerlm Chat scores higher in 0 categories and Muse Spark 1.3 in 7 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Muse Spark 1.3 leads 73.6 to 31.6.
  • Llama2 70b Steerlm Chat has downloadable open weights; the other is API-only.

Side by side

Llama2 70b Steerlm ChatMuse Spark 1.3
ProviderNVIDIAMeta
Noometry Index31.854.8
Released—2026-09-02
WeightsOpenProprietary
Context window—1.05M
Max output—131K
Input $ / M tokens—$1.25
Output $ / M tokens—$4.25
Results tracked937

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Category by category

Coding Muse Spark 1.3 leads

Llama2 70b Steerlm Chat: 29.9 (#300), Muse Spark 1.3: 56.6 (#21)

BenchmarkLlama2 70b Steerlm ChatMuse Spark 1.3
LMArena Coding10251514
CursorBench—41.6%
LMArena WebDev—1657
SciCode—59.7%

Agentic & Tool Use Not comparable

Llama2 70b Steerlm Chat: —, Muse Spark 1.3: 38.6 (#30)

BenchmarkLlama2 70b Steerlm ChatMuse Spark 1.3
APEX-Agents—57.8%
GDP.pdf—27.6%

Reasoning Muse Spark 1.3 leads

Llama2 70b Steerlm Chat: 20.0 (#246), Muse Spark 1.3: 54.0 (#27)

BenchmarkLlama2 70b Steerlm ChatMuse Spark 1.3
LMArena Hard Prompts10471503
NYT Connections (extended)—85.1%
CritPt—26%
Chess Puzzles—38%
Mystery Game Puzzles—25%
DTBench—96.5%
LMCA—53.9%
Bench to the Future 3—0.14
Epoch Capabilities Index—156.75

Math Muse Spark 1.3 leads

Llama2 70b Steerlm Chat: 31.3 (#226), Muse Spark 1.3: 73.1 (#21)

BenchmarkLlama2 70b Steerlm ChatMuse Spark 1.3
LMArena Math10721494
FrontierMath (Tiers 1-3)—74.4%
FrontierMath Tier 4—46.3%
OTIS Mock AIME 2024-2025—99.2%
ProofBench—58%

Knowledge Not comparable

Llama2 70b Steerlm Chat: —, Muse Spark 1.3: 42.6 (#95)

BenchmarkLlama2 70b Steerlm ChatMuse Spark 1.3
LMArena Expert—1516

Multimodal Not comparable

Llama2 70b Steerlm Chat: —, Muse Spark 1.3: 43.7 (#22)

BenchmarkLlama2 70b Steerlm ChatMuse Spark 1.3
LMArena Vision—1309
LMArena Document—1471

Multilingual Muse Spark 1.3 leads

Llama2 70b Steerlm Chat: 28.8 (#270), Muse Spark 1.3: 57.4 (#8)

BenchmarkLlama2 70b Steerlm ChatMuse Spark 1.3
LMArena Non-English10631481
LMArena Chinese—1529
LMArena French—1524
LMArena German—1515
LMArena Japanese—1474
LMArena Korean—1501
LMArena Russian—1490
LMArena Spanish—1490

Instruction Following Muse Spark 1.3 leads

Llama2 70b Steerlm Chat: 54.2 (#279), Muse Spark 1.3: 77.5 (#22)

BenchmarkLlama2 70b Steerlm ChatMuse Spark 1.3
LMArena Instruction Following10601477

Long Context Muse Spark 1.3 leads

Llama2 70b Steerlm Chat: 30.4 (#288), Muse Spark 1.3: 45.6 (#32)

BenchmarkLlama2 70b Steerlm ChatMuse Spark 1.3
LMArena Longer Query9981488

Writing & Preference Muse Spark 1.3 leads

Llama2 70b Steerlm Chat: 31.6 (#283), Muse Spark 1.3: 73.6 (#9)

BenchmarkLlama2 70b Steerlm ChatMuse Spark 1.3
LMArena Text10981490
LMArena Creative Writing10911455
LMArena Multi-Turn10581482
EQ-Bench Creative Writing—1906

Frequently asked questions

Is Llama2 70b Steerlm Chat better than Muse Spark 1.3?

Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 31.8 on the Noometry Index.

Is Llama2 70b Steerlm Chat or Muse Spark 1.3 better for coding?

Muse Spark 1.3 scores higher on coding benchmarks: 56.6 versus 29.9 in the Noometry coding category.

How many benchmarks do Llama2 70b Steerlm Chat and Muse Spark 1.3 share?

9 benchmarks have published results for both models. Llama2 70b Steerlm Chat has 9 scored results on Noometry and Muse Spark 1.3 has 37.

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