Model comparison
Mistral Medium 3.5 vs Muse Spark 1.1
Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 40.2 on the Noometry Index.
Last verified . 21 shared benchmarks.
Mistral AI
MetaSummary
- They share 21 benchmarks with published results for both. Mistral Medium 3.5 scores higher in 0 categories and Muse Spark 1.1 in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Muse Spark 1.1 leads 47.1 to 17.3.
- The biggest single-benchmark swing is NYT Connections (extended): 12.9% for Mistral Medium 3.5 and 84.9% for Muse Spark 1.1.
- Muse Spark 1.1 is cheaper at $1.25 / $4.25 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium 3.5.
- Muse Spark 1.1 accepts more context: 1.05M tokens versus 262K.
- Mistral Medium 3.5 has downloadable open weights; the other is API-only.
Side by side
| Mistral Medium 3.5 | Muse Spark 1.1 | |
|---|---|---|
| Provider | Mistral AI | Meta |
| Noometry Index | 40.2 | 49.9 |
| Released | — | 2026-04-08 |
| Weights | Open | Proprietary |
| Context window | 262K | 1.05M |
| Max output | 210K | 131K |
| Input $ / M tokens | $1.50 | $1.25 |
| Output $ / M tokens | $7.50 | $4.25 |
| Results tracked | 22 | 37 |
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Category by category
Coding Muse Spark 1.1 leads
Mistral Medium 3.5: 36.0 (#213), Muse Spark 1.1: 51.3 (#40)
| Benchmark | Mistral Medium 3.5 | Muse Spark 1.1 |
|---|---|---|
| LMArena WebDev | 1264 | 1542 |
| LMArena Coding | 1461 | 1498 |
| DeepSWE | — | 53.3% |
| SciCode | — | 58.8% |
Agentic & Tool Use Not comparable
Mistral Medium 3.5: —, Muse Spark 1.1: 30.8 (#73)
| Benchmark | Mistral Medium 3.5 | Muse Spark 1.1 |
|---|---|---|
| APEX-Agents | — | 31.8% |
| τ²-bench Banking | — | 40.5% |
| GBAEval | — | 7.9% |
| GDP.pdf | — | 15% |
| Vending-Bench 2 | — | 6,520 |
Reasoning Muse Spark 1.1 leads
Mistral Medium 3.5: 17.3 (#295), Muse Spark 1.1: 47.1 (#44)
| Benchmark | Mistral Medium 3.5 | Muse Spark 1.1 |
|---|---|---|
| NYT Connections (extended) | 12.9% | 84.9% |
| LMArena Hard Prompts | 1436 | 1486 |
| Epoch Capabilities Index | 141.35 | 154.21 |
| Kagi LLM Benchmark | 41.4% | — |
| CritPt | — | 15.1% |
| DTBench | — | 94.4% |
| LMCA | — | 49.9% |
| Surface Evolver Bench | — | 52.5% |
Math Muse Spark 1.1 leads
Mistral Medium 3.5: 39.1 (#113), Muse Spark 1.1: 45.5 (#76)
| Benchmark | Mistral Medium 3.5 | Muse Spark 1.1 |
|---|---|---|
| LMArena Math | 1431 | 1483 |
| ProofBench | — | 39% |
Knowledge Muse Spark 1.1 leads
Mistral Medium 3.5: 40.0 (#126), Muse Spark 1.1: 53.1 (#59)
| Benchmark | Mistral Medium 3.5 | Muse Spark 1.1 |
|---|---|---|
| LMArena Expert | 1432 | 1478 |
| SimpleQA Verified | — | 57.8% |
Multimodal Muse Spark 1.1 leads
Mistral Medium 3.5: 38.3 (#65), Muse Spark 1.1: 42.6 (#29)
| Benchmark | Mistral Medium 3.5 | Muse Spark 1.1 |
|---|---|---|
| LMArena Vision | 1223 | 1293 |
| LMArena Document | — | 1465 |
Multilingual Muse Spark 1.1 leads
Mistral Medium 3.5: 51.9 (#100), Muse Spark 1.1: 56.7 (#17)
| Benchmark | Mistral Medium 3.5 | Muse Spark 1.1 |
|---|---|---|
| LMArena Non-English | 1404 | 1472 |
| LMArena Chinese | 1442 | 1518 |
| LMArena French | 1448 | 1494 |
| LMArena German | 1451 | 1466 |
| LMArena Korean | 1385 | 1458 |
| LMArena Russian | 1395 | 1483 |
| LMArena Spanish | 1409 | 1464 |
| LMArena Japanese | — | 1451 |
Instruction Following Muse Spark 1.1 leads
Mistral Medium 3.5: 74.6 (#90), Muse Spark 1.1: 76.5 (#39)
| Benchmark | Mistral Medium 3.5 | Muse Spark 1.1 |
|---|---|---|
| LMArena Instruction Following | 1415 | 1457 |
Long Context Muse Spark 1.1 leads
Mistral Medium 3.5: 43.2 (#103), Muse Spark 1.1: 44.8 (#58)
| Benchmark | Mistral Medium 3.5 | Muse Spark 1.1 |
|---|---|---|
| LMArena Longer Query | 1415 | 1462 |
Writing & Preference Muse Spark 1.1 leads
Mistral Medium 3.5: 58.5 (#117), Muse Spark 1.1: 73.4 (#11)
| Benchmark | Mistral Medium 3.5 | Muse Spark 1.1 |
|---|---|---|
| LMArena Text | 1421 | 1479 |
| LMArena Creative Writing | 1374 | 1437 |
| EQ-Bench 4 | 993 | 1260 |
| LMArena Multi-Turn | 1423 | 1485 |
| EQ-Bench Creative Writing | — | 1927 |
Frequently asked questions
Is Mistral Medium 3.5 better than Muse Spark 1.1?
Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 40.2 on the Noometry Index.
Which is cheaper, Mistral Medium 3.5 or Muse Spark 1.1?
Muse Spark 1.1 is cheaper. It lists at $1.25 per million input tokens and $4.25 per million output tokens; Mistral Medium 3.5 lists at $1.50 and $7.50.
Is Mistral Medium 3.5 or Muse Spark 1.1 better for coding?
Muse Spark 1.1 scores higher on coding benchmarks: 51.3 versus 36.0 in the Noometry coding category.
Which has the bigger context window?
Muse Spark 1.1 does, with 1.05M tokens against 262K.
How many benchmarks do Mistral Medium 3.5 and Muse Spark 1.1 share?
21 benchmarks have published results for both models. Mistral Medium 3.5 has 22 scored results on Noometry and Muse Spark 1.1 has 37.