Model comparison
Jamba Large vs Muse Spark 1.2
Muse Spark 1.2 has enough public results to be ranked (#44); Jamba Large does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
MetaSummary
- The widest gap is in reasoning, where Muse Spark 1.2 leads 50.4 to 17.4.
- Muse Spark 1.2 is cheaper at $1.25 / $4.25 per million input/output tokens, against $2 / $8 for Jamba Large.
- Muse Spark 1.2 accepts more context: 1.05M tokens versus 256K.
- Jamba Large has downloadable open weights; the other is API-only.
Side by side
| Jamba Large | Muse Spark 1.2 | |
|---|---|---|
| Provider | AI21 Labs | Meta |
| Noometry Index | 32.6 | 49.8 |
| Released | 2025-07-01 | 2026-08-05 |
| Weights | Open | Proprietary |
| Context window | 256K | 1.05M |
| Max output | 4K | 131K |
| Input $ / M tokens | $2 | $1.25 |
| Output $ / M tokens | $8 | $4.25 |
| Results tracked | 2 | 28 |
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Category by category
Coding Not comparable
Jamba Large: —, Muse Spark 1.2: 48.6 (#49)
| Benchmark | Jamba Large | Muse Spark 1.2 |
|---|---|---|
| DeepSWE | — | 54.9% |
| LMArena WebDev | — | 1532 |
| FrontierSWE | — | 12% |
| SciCode | — | 56.4% |
| WeirdML | — | 60.3% |
| LMArena Coding | — | 1497 |
Agentic & Tool Use Not comparable
Jamba Large: —, Muse Spark 1.2: 29.5 (#77)
| Benchmark | Jamba Large | Muse Spark 1.2 |
|---|---|---|
| APEX-Agents | — | 36.4% |
| GDP.pdf | — | 16% |
Reasoning Muse Spark 1.2 leads
Jamba Large: 17.4, Muse Spark 1.2: 50.4 (#32)
| Benchmark | Jamba Large | Muse Spark 1.2 |
|---|---|---|
| SimpleBench | — | 74.5% |
| Kagi LLM Benchmark | 26.1% | — |
| NYT Connections (extended) | — | 79.2% |
| CritPt | — | 17.7% |
| LMArena Hard Prompts | — | 1490 |
| DTBench | — | 94.7% |
| LMCA | — | 48.4% |
| Epoch Capabilities Index | — | 155.18 |
Math Not comparable
Jamba Large: —, Muse Spark 1.2: 43.8 (#68)
| Benchmark | Jamba Large | Muse Spark 1.2 |
|---|---|---|
| ProofBench | — | 43% |
Knowledge Muse Spark 1.2 leads
Jamba Large: 37.0, Muse Spark 1.2: 53.9 (#49)
| Benchmark | Jamba Large | Muse Spark 1.2 |
|---|---|---|
| SimpleQA Verified | — | 60.3% |
| Vectara Hallucination Rate | 9.7% | — |
| LMArena Expert | — | 1485 |
Multimodal Not comparable
Jamba Large: —, Muse Spark 1.2: 42.6 (#24)
| Benchmark | Jamba Large | Muse Spark 1.2 |
|---|---|---|
| LMArena Vision | — | 1304 |
Multilingual Not comparable
Jamba Large: —, Muse Spark 1.2: 57.4 (#10)
| Benchmark | Jamba Large | Muse Spark 1.2 |
|---|---|---|
| LMArena Non-English | — | 1479 |
| LMArena Chinese | — | 1519 |
| LMArena Russian | — | 1494 |
Instruction Following Not comparable
Jamba Large: —, Muse Spark 1.2: 77.1 (#30)
| Benchmark | Jamba Large | Muse Spark 1.2 |
|---|---|---|
| LMArena Instruction Following | — | 1466 |
Long Context Not comparable
Jamba Large: —, Muse Spark 1.2: 45.4 (#35)
| Benchmark | Jamba Large | Muse Spark 1.2 |
|---|---|---|
| LMArena Longer Query | — | 1483 |
Writing & Preference Not comparable
Jamba Large: —, Muse Spark 1.2: 72.6 (#14)
| Benchmark | Jamba Large | Muse Spark 1.2 |
|---|---|---|
| LMArena Text | — | 1486 |
| LMArena Creative Writing | — | 1444 |
| EQ-Bench Creative Writing | — | 1840 |
| LMArena Multi-Turn | — | 1504 |
Frequently asked questions
Is Jamba Large better than Muse Spark 1.2?
Muse Spark 1.2 has enough public results to be ranked (#44); Jamba Large does not yet, so treat this comparison as directional.
Which is cheaper, Jamba Large or Muse Spark 1.2?
Muse Spark 1.2 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 1.2 does, with 1.05M tokens against 256K.
How many benchmarks do Jamba Large and Muse Spark 1.2 share?
0 benchmarks have published results for both models. Jamba Large has 2 scored results on Noometry and Muse Spark 1.2 has 28.