Model comparison

Llama2 70b Steerlm Chat vs Muse Spark 1.2

Muse Spark 1.2 is the stronger model overall, scoring 50.3 to 31.8 on the Noometry Index.

Last verified . 9 shared benchmarks.

Llama2 70b Steerlm Chat NVIDIA

31.8

Rank #268 Confirmed

Muse Spark 1.2 Meta

50.3

Rank #48 Confirmed

Summary

  • They share 9 benchmarks with published results for both. Llama2 70b Steerlm Chat scores higher in 0 categories and Muse Spark 1.2 in 7 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Muse Spark 1.2 leads 72.3 to 31.6.
  • Llama2 70b Steerlm Chat has downloadable open weights; the other is API-only.

Side by side

Llama2 70b Steerlm Chat and Muse Spark 1.2 specifications
Llama2 70b Steerlm ChatMuse Spark 1.2
ProviderNVIDIAMeta
Noometry Index31.850.3
Released—2026-08-05
WeightsOpenProprietary
Context window—1.05M
Max output—131K
Input $ / M tokens—$1.25
Output $ / M tokens—$4.25
Results tracked931

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Category by category

Coding Muse Spark 1.2 leads

Llama2 70b Steerlm Chat: 29.9 (#300), Muse Spark 1.2: 49.2 (#51)

Coding benchmarks
BenchmarkLlama2 70b Steerlm ChatMuse Spark 1.2
LMArena Coding10251495
DeepSWE—54.9%
LMArena WebDev—1533
FrontierSWE—12%
SciCode—56.4%
WeirdML—60.3%

Agentic & Tool Use Not comparable

Llama2 70b Steerlm Chat: —, Muse Spark 1.2: 29.4 (#87)

Agentic & Tool Use benchmarks
BenchmarkLlama2 70b Steerlm ChatMuse Spark 1.2
APEX-Agents—36.4%
GDP.pdf—16%

Reasoning Muse Spark 1.2 leads

Llama2 70b Steerlm Chat: 20.0 (#246), Muse Spark 1.2: 51.3 (#34)

Reasoning benchmarks
BenchmarkLlama2 70b Steerlm ChatMuse Spark 1.2
LMArena Hard Prompts10471486
SimpleBench—74.5%
NYT Connections (extended)—79.2%
CritPt—17.7%
DTBench—94.7%
LMCA—48.4%
Epoch Capabilities Index—154.87

Math Muse Spark 1.2 leads

Llama2 70b Steerlm Chat: 31.3 (#226), Muse Spark 1.2: 46.4 (#70)

Math benchmarks
BenchmarkLlama2 70b Steerlm ChatMuse Spark 1.2
LMArena Math10721471
ProofBench—43%

Knowledge Not comparable

Llama2 70b Steerlm Chat: —, Muse Spark 1.2: 54.1 (#53)

Knowledge benchmarks
BenchmarkLlama2 70b Steerlm ChatMuse Spark 1.2
SimpleQA Verified—60.3%
LMArena Expert—1480

Multimodal Not comparable

Llama2 70b Steerlm Chat: —, Muse Spark 1.2: 43.4 (#25)

Multimodal benchmarks
BenchmarkLlama2 70b Steerlm ChatMuse Spark 1.2
LMArena Vision—1305

Multilingual Muse Spark 1.2 leads

Llama2 70b Steerlm Chat: 28.8 (#270), Muse Spark 1.2: 57.1 (#11)

Multilingual benchmarks
BenchmarkLlama2 70b Steerlm ChatMuse Spark 1.2
LMArena Non-English10631478
LMArena Chinese—1511
LMArena French—1513
LMArena Russian—1487
LMArena Spanish—1498

Instruction Following Muse Spark 1.2 leads

Llama2 70b Steerlm Chat: 54.2 (#279), Muse Spark 1.2: 76.7 (#36)

Instruction Following benchmarks
BenchmarkLlama2 70b Steerlm ChatMuse Spark 1.2
LMArena Instruction Following10601461

Long Context Muse Spark 1.2 leads

Llama2 70b Steerlm Chat: 30.4 (#288), Muse Spark 1.2: 45.2 (#48)

Long Context benchmarks
BenchmarkLlama2 70b Steerlm ChatMuse Spark 1.2
LMArena Longer Query9981475

Writing & Preference Muse Spark 1.2 leads

Llama2 70b Steerlm Chat: 31.6 (#283), Muse Spark 1.2: 72.3 (#14)

Writing & Preference benchmarks
BenchmarkLlama2 70b Steerlm ChatMuse Spark 1.2
LMArena Text10981482
LMArena Creative Writing10911449
LMArena Multi-Turn10581494
EQ-Bench Creative Writing—1840

Frequently asked questions

Is Llama2 70b Steerlm Chat better than Muse Spark 1.2?

Muse Spark 1.2 is the stronger model overall, scoring 50.3 to 31.8 on the Noometry Index.

Is Llama2 70b Steerlm Chat or Muse Spark 1.2 better for coding?

Muse Spark 1.2 scores higher on coding benchmarks: 49.2 versus 29.9 in the Noometry coding category.

How many benchmarks do Llama2 70b Steerlm Chat and Muse Spark 1.2 share?

9 benchmarks have published results for both models. Llama2 70b Steerlm Chat has 9 scored results on Noometry and Muse Spark 1.2 has 31.

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