Model comparison
Mistral 7B vs Muse Spark 1.3
Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 23.0 on the Noometry Index. Mistral 7B costs 8.0× less per token, which makes it the better buy when Muse Spark 1.3's lead doesn't matter for your workload.
Last verified . 20 shared benchmarks.
Mistral AI
MetaSummary
- They share 20 benchmarks with published results for both. Mistral 7B scores higher in 0 categories and Muse Spark 1.3 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Muse Spark 1.3 leads 73.1 to 8.1.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 0.3% for Mistral 7B and 99.2% for Muse Spark 1.3.
- Mistral 7B is cheaper at $0.25 / $0.25 per million input/output tokens, against $1.25 / $4.25 for Muse Spark 1.3.
- Muse Spark 1.3 accepts more context: 1.05M tokens versus 8K.
- Mistral 7B has downloadable open weights; the other is API-only.
Side by side
| Mistral 7B | Muse Spark 1.3 | |
|---|---|---|
| Provider | Mistral AI | Meta |
| Noometry Index | 23.0 | 54.8 |
| Released | 2023-09-27 | 2026-09-02 |
| Weights | Open | Proprietary |
| Context window | 8K | 1.05M |
| Max output | 8K | 131K |
| Input $ / M tokens | $0.25 | $1.25 |
| Output $ / M tokens | $0.25 | $4.25 |
| Results tracked | 37 | 37 |
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Category by category
Coding Muse Spark 1.3 leads
Mistral 7B: 26.4 (#326), Muse Spark 1.3: 56.6 (#21)
| Benchmark | Mistral 7B | Muse Spark 1.3 |
|---|---|---|
| LMArena Coding | 1082 | 1514 |
| CursorBench | — | 41.6% |
| LMArena WebDev | — | 1657 |
| SciCode | — | 59.7% |
| BigCodeBench Instruct | 19.5% | — |
| BigCodeBench Complete | 27.3% | — |
| HumanEval+ | 36% | — |
| MBPP+ | 42.1% | — |
Agentic & Tool Use Not comparable
Mistral 7B: —, Muse Spark 1.3: 38.6 (#30)
| Benchmark | Mistral 7B | Muse Spark 1.3 |
|---|---|---|
| APEX-Agents | — | 57.8% |
| GDP.pdf | — | 27.6% |
Reasoning Muse Spark 1.3 leads
Mistral 7B: 13.1 (#336), Muse Spark 1.3: 54.0 (#27)
| Benchmark | Mistral 7B | Muse Spark 1.3 |
|---|---|---|
| Chess Puzzles | 0% | 38% |
| LMArena Hard Prompts | 1067 | 1503 |
| DTBench | 42.5% | 96.5% |
| Epoch Capabilities Index | 112.21 | 156.75 |
| NYT Connections (extended) | — | 85.1% |
| CritPt | — | 26% |
| Mystery Game Puzzles | — | 25% |
| LMCA | — | 53.9% |
| Adversarial NLI | 47.1% | — |
| Bench to the Future 3 | — | 0.14 |
| BIG-Bench Hard | 56.1% | — |
| HellaSwag | 81% | — |
| PIQA | 83% | — |
| WinoGrande | 75.3% | — |
Math Muse Spark 1.3 leads
Mistral 7B: 8.1 (#325), Muse Spark 1.3: 73.1 (#21)
| Benchmark | Mistral 7B | Muse Spark 1.3 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.3% | 99.2% |
| LMArena Math | 1085 | 1494 |
| FrontierMath (Tiers 1-3) | — | 74.4% |
| FrontierMath Tier 4 | — | 46.3% |
| ProofBench | — | 58% |
| MATH Level 5 | 3.7% | — |
| GSM8K | 54.4% | — |
Knowledge Muse Spark 1.3 leads
Mistral 7B: 7.4 (#311), Muse Spark 1.3: 42.6 (#95)
| Benchmark | Mistral 7B | Muse Spark 1.3 |
|---|---|---|
| LMArena Expert | 1036 | 1516 |
| GPQA Diamond | 15.2% | — |
| ARC (AI2) Challenge | 78.6% | — |
| BoolQ | 87.4% | — |
| MMLU | 62.5% | — |
| OpenBookQA | 79.8% | — |
| TriviaQA | 75.2% | — |
Multimodal Not comparable
Mistral 7B: —, Muse Spark 1.3: 43.7 (#22)
| Benchmark | Mistral 7B | Muse Spark 1.3 |
|---|---|---|
| LMArena Vision | — | 1309 |
| LMArena Document | — | 1471 |
Multilingual Muse Spark 1.3 leads
Mistral 7B: 25.8 (#283), Muse Spark 1.3: 57.4 (#8)
| Benchmark | Mistral 7B | Muse Spark 1.3 |
|---|---|---|
| LMArena Non-English | 1012 | 1481 |
| LMArena Chinese | 1009 | 1529 |
| LMArena French | 1037 | 1524 |
| LMArena German | 987 | 1515 |
| LMArena Japanese | 878 | 1474 |
| LMArena Russian | 1018 | 1490 |
| LMArena Spanish | 1026 | 1490 |
| LMArena Korean | — | 1501 |
Instruction Following Muse Spark 1.3 leads
Mistral 7B: 54.2 (#280), Muse Spark 1.3: 77.5 (#22)
| Benchmark | Mistral 7B | Muse Spark 1.3 |
|---|---|---|
| LMArena Instruction Following | 1060 | 1477 |
Long Context Muse Spark 1.3 leads
Mistral 7B: 32.2 (#271), Muse Spark 1.3: 45.6 (#32)
| Benchmark | Mistral 7B | Muse Spark 1.3 |
|---|---|---|
| LMArena Longer Query | 1060 | 1488 |
Writing & Preference Muse Spark 1.3 leads
Mistral 7B: 30.7 (#286), Muse Spark 1.3: 73.6 (#9)
| Benchmark | Mistral 7B | Muse Spark 1.3 |
|---|---|---|
| LMArena Text | 1090 | 1490 |
| LMArena Creative Writing | 1068 | 1455 |
| LMArena Multi-Turn | 1062 | 1482 |
| EQ-Bench Creative Writing | — | 1906 |
Frequently asked questions
Is Mistral 7B better than Muse Spark 1.3?
Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 23.0 on the Noometry Index. Mistral 7B costs 8.0× less per token, which makes it the better buy when Muse Spark 1.3's lead doesn't matter for your workload.
Which is cheaper, Mistral 7B or Muse Spark 1.3?
Mistral 7B is cheaper. It lists at $0.25 per million input tokens and $0.25 per million output tokens; Muse Spark 1.3 lists at $1.25 and $4.25.
Is Mistral 7B or Muse Spark 1.3 better for coding?
Muse Spark 1.3 scores higher on coding benchmarks: 56.6 versus 26.4 in the Noometry coding category.
Which has the bigger context window?
Muse Spark 1.3 does, with 1.05M tokens against 8K.
How many benchmarks do Mistral 7B and Muse Spark 1.3 share?
20 benchmarks have published results for both models. Mistral 7B has 37 scored results on Noometry and Muse Spark 1.3 has 37.