Model comparison

Jamba Large vs Muse Spark 1.3

Muse Spark 1.3 has enough public results to be ranked (#27); Jamba Large does not yet, so treat this comparison as directional.

Last verified . 0 shared benchmarks.

Jamba Large AI21 Labs

33.1

Unranked Sparse

Muse Spark 1.3 Meta

54.8

Rank #27 Confirmed

Summary

  • The widest gap is in reasoning, where Muse Spark 1.3 leads 54.0 to 18.0.
  • Muse Spark 1.3 is cheaper at $1.25 / $4.25 per million input/output tokens, against $2 / $8 for Jamba Large.
  • Muse Spark 1.3 accepts more context: 1.05M tokens versus 256K.
  • Jamba Large has downloadable open weights; the other is API-only.

Side by side

Jamba Large and Muse Spark 1.3 specifications
Jamba LargeMuse Spark 1.3
ProviderAI21 LabsMeta
Noometry Index33.154.8
Released2025-07-012026-09-02
WeightsOpenProprietary
Context window256K1.05M
Max output4K131K
Input $ / M tokens$2$1.25
Output $ / M tokens$8$4.25
Results tracked237

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Category by category

Coding Not comparable

Jamba Large: —, Muse Spark 1.3: 56.6 (#21)

Coding benchmarks
BenchmarkJamba LargeMuse Spark 1.3
CursorBench—41.6%
LMArena WebDev—1657
SciCode—59.7%
LMArena Coding—1514

Agentic & Tool Use Not comparable

Jamba Large: —, Muse Spark 1.3: 38.6 (#30)

Agentic & Tool Use benchmarks
BenchmarkJamba LargeMuse Spark 1.3
APEX-Agents—57.8%
GDP.pdf—27.6%

Reasoning Muse Spark 1.3 leads

Jamba Large: 18.0, Muse Spark 1.3: 54.0 (#27)

Reasoning benchmarks
BenchmarkJamba LargeMuse Spark 1.3
Kagi LLM Benchmark26.1%—
NYT Connections (extended)—85.1%
CritPt—26%
Chess Puzzles—38%
LMArena Hard Prompts—1503
Mystery Game Puzzles—25%
DTBench—96.5%
LMCA—53.9%
Bench to the Future 3—0.14
Epoch Capabilities Index—156.75

Math Not comparable

Jamba Large: —, Muse Spark 1.3: 73.1 (#21)

Math benchmarks
BenchmarkJamba LargeMuse Spark 1.3
FrontierMath (Tiers 1-3)—74.4%
FrontierMath Tier 4—46.3%
OTIS Mock AIME 2024-2025—99.2%
ProofBench—58%
LMArena Math—1494

Knowledge Muse Spark 1.3 leads

Jamba Large: 37.7, Muse Spark 1.3: 42.6 (#95)

Knowledge benchmarks
BenchmarkJamba LargeMuse Spark 1.3
Vectara Hallucination Rate9.7%—
LMArena Expert—1516

Multimodal Not comparable

Jamba Large: —, Muse Spark 1.3: 43.7 (#22)

Multimodal benchmarks
BenchmarkJamba LargeMuse Spark 1.3
LMArena Vision—1309
LMArena Document—1471

Multilingual Not comparable

Jamba Large: —, Muse Spark 1.3: 57.4 (#8)

Multilingual benchmarks
BenchmarkJamba LargeMuse Spark 1.3
LMArena Non-English—1481
LMArena Chinese—1529
LMArena French—1524
LMArena German—1515
LMArena Japanese—1474
LMArena Korean—1501
LMArena Russian—1490
LMArena Spanish—1490

Instruction Following Not comparable

Jamba Large: —, Muse Spark 1.3: 77.5 (#22)

Instruction Following benchmarks
BenchmarkJamba LargeMuse Spark 1.3
LMArena Instruction Following—1477

Long Context Not comparable

Jamba Large: —, Muse Spark 1.3: 45.6 (#32)

Long Context benchmarks
BenchmarkJamba LargeMuse Spark 1.3
LMArena Longer Query—1488

Writing & Preference Not comparable

Jamba Large: —, Muse Spark 1.3: 73.6 (#9)

Writing & Preference benchmarks
BenchmarkJamba LargeMuse Spark 1.3
LMArena Text—1490
LMArena Creative Writing—1455
EQ-Bench Creative Writing—1906
LMArena Multi-Turn—1482

Frequently asked questions

Is Jamba Large better than Muse Spark 1.3?

Muse Spark 1.3 has enough public results to be ranked (#27); Jamba Large does not yet, so treat this comparison as directional.

Which is cheaper, Jamba Large or Muse Spark 1.3?

Muse Spark 1.3 is cheaper. It lists at $1.25 per million input tokens and $4.25 per million output tokens; Jamba Large lists at $2 and $8.

Which has the bigger context window?

Muse Spark 1.3 does, with 1.05M tokens against 256K.

How many benchmarks do Jamba Large and Muse Spark 1.3 share?

0 benchmarks have published results for both models. Jamba Large has 2 scored results on Noometry and Muse Spark 1.3 has 37.

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