Mistral Large 4 vs Muse Spark 1.3 Contributor
| Signal | Mistral Large 4 | Delta | Muse Spark 1.3 Contributor |
|---|---|---|---|
Capabilities | 83 | -17 | |
Benchmarks | 68 | +68 | |
Pricing | 98 | -2 | |
Context window size | 91 | -5 | |
Recency | 100 | -- | |
Output Capacity | 87 | -9 | |
| Overall Result | 1 wins | of 6 | 4 wins |
Score History
68.1
current score
Mistral Large 4
right now
40
current score
Mistral Large 4
Mistral AI
Muse Spark 1.3 Contributor
meta
Muse Spark 1.3 Contributor saves you $152.50/month
That's $1830.00/year compared to Mistral Large 4 at your current usage level of 100K calls/month.
| Metric | Mistral Large 4 | Muse Spark 1.3 Contributor | Winner |
|---|---|---|---|
| Overall Score | 68 | 40 | Mistral Large 4 |
| Rank | #180 | #278 | Mistral Large 4 |
| Quality Rank | #180 | #278 | Mistral Large 4 |
| Adoption Rank | #180 | #278 | Mistral Large 4 |
| Parameters | -- | -- | -- |
| Context Window | 524K | 1049K | Muse Spark 1.3 Contributor |
| Pricing | $0.68/$2.09/M | $0.10/$0.20/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 100 | Muse Spark 1.3 Contributor |
| Benchmarks | 68 | -- | Mistral Large 4 |
| Pricing | 98 | 100 | Muse Spark 1.3 Contributor |
| Context window size | 91 | 96 | Muse Spark 1.3 Contributor |
| Recency | 100 | 100 | Mistral Large 4 |
| Output Capacity | 87 | 96 | Muse Spark 1.3 Contributor |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 68/100 (rank #180), placing it in the top 38% of all 290 models tracked.
Scores 40/100 (rank #278), placing it in the top 4% of all 290 models tracked.
Mistral Large 4 has a 28-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Choose Mistral Large 4 when you need:
- Step-by-step reasoning and chain-of-thought problem solving
Choose Muse Spark 1.3 Contributor when you need:
- High-volume production workloads where API costs must be minimized
- Processing long documents or large codebases (1049K token context)
- Step-by-step reasoning and chain-of-thought problem solving
Muse Spark 1.3 Contributor offers 89% better value per quality point. At 1M tokens/day, you'd spend $4.50/month with Muse Spark 1.3 Contributor vs $41.55/month with Mistral Large 4 - a $37.05 monthly difference.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. Muse Spark 1.3 Contributor also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1049K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.20/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (68/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
Mistral Large 4 clearly outperforms Muse Spark 1.3 Contributor with a significant 28.099999999999994-point lead. For most general use cases, Mistral Large 4 is the stronger choice. However, Muse Spark 1.3 Contributor may still excel in niche scenarios.
By Use Case
Best for Quality
Mistral Large 4
Marginally better benchmark scores; both are excellent
Best for Cost
Muse Spark 1.3 Contributor
89% lower pricing; better value at scale
Best for Reliability
Mistral Large 4
Higher uptime and faster response speeds
Best for Prototyping
Mistral Large 4
Stronger community support and better developer experience
Best for Production
Mistral Large 4
Wider enterprise adoption and proven at scale
by Mistral AI
- Choose for Quality - Marginally better benchmark scores; both are excellent
- Choose for Reliability - Higher uptime and faster response speeds
- Choose for Prototyping - Stronger community support and better developer experience
- Choose for Production - Wider enterprise adoption and proven at scale
| Capability | Mistral Large 4 | Muse Spark 1.3 Contributor |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
Mistral Large 4
Mistral AI
Muse Spark 1.3 Contributor
meta
Muse Spark 1.3 Contributor saves you $3.31/month
That's 89% cheaper than Mistral Large 4 at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | Mistral Large 4 | Muse Spark 1.3 Contributor |
|---|---|---|
| Context Window | 524K | 1.0M |
| Max Output Tokens | 262,144 | 943,718 |
| Open Source | No | No |
| Created | Oct 6, 2026 | Sep 2, 2026 |