Muse Spark 1.2 Contributor vs Qwen3.5 397B A17B
| Signal | Muse Spark 1.2 Contributor | Delta | Qwen3.5 397B A17B |
|---|---|---|---|
Capabilities | 100 | +17 | |
Pricing | 100 | +3 | |
Context window size | 96 | +10 | |
Recency | 100 | +7 | |
Output Capacity | 96 | +10 | |
Benchmarks | 0 | -80 | |
| Overall Result | 5 wins | of 6 | 1 wins |
Score History
40
current score
Qwen3.5 397B A17B
right now
79.4
current score
Muse Spark 1.2 Contributor
meta
Qwen3.5 397B A17B
Alibaba
Muse Spark 1.2 Contributor saves you $210.00/month
That's $2520.00/year compared to Qwen3.5 397B A17B at your current usage level of 100K calls/month.
| Metric | Muse Spark 1.2 Contributor | Qwen3.5 397B A17B | Winner |
|---|---|---|---|
| Overall Score | 40 | 79 | Qwen3.5 397B A17B |
| Rank | #260 | #88 | Qwen3.5 397B A17B |
| Quality Rank | #260 | #88 | Qwen3.5 397B A17B |
| Adoption Rank | #260 | #88 | Qwen3.5 397B A17B |
| Parameters | -- | 397B | -- |
| Context Window | 1049K | 262K | Muse Spark 1.2 Contributor |
| Pricing | $0.10/$0.20/M | $0.55/$3.50/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 83 | Muse Spark 1.2 Contributor |
| Pricing | 100 | 97 | Muse Spark 1.2 Contributor |
| Context window size | 96 | 86 | Muse Spark 1.2 Contributor |
| Recency | 100 | 93 | Muse Spark 1.2 Contributor |
| Output Capacity | 96 | 86 | Muse Spark 1.2 Contributor |
| Benchmarks | -- | 80 | Qwen3.5 397B A17B |
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 40/100 (rank #260), placing it in the top 11% of all 290 models tracked.
Scores 79/100 (rank #88), placing it in the top 70% of all 290 models tracked.
Qwen3.5 397B A17B has a 39-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Choose Muse Spark 1.2 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
Choose Qwen3.5 397B A17B when you need:
- Step-by-step reasoning and chain-of-thought problem solving
- Self-hosted deployments where you need full control over the model
Muse Spark 1.2 Contributor offers 93% better value per quality point. At 1M tokens/day, you'd spend $4.50/month with Muse Spark 1.2 Contributor vs $60.75/month with Qwen3.5 397B A17B - a $56.25 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 1.2 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 (79/100) 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
Qwen3.5 397B A17B clearly outperforms Muse Spark 1.2 Contributor with a significant 39.400000000000006-point lead. For most general use cases, Qwen3.5 397B A17B is the stronger choice. However, Muse Spark 1.2 Contributor may still excel in niche scenarios.
By Use Case
Best for Quality
Muse Spark 1.2 Contributor
Marginally better benchmark scores; both are excellent
Best for Cost
Muse Spark 1.2 Contributor
93% lower pricing; better value at scale
Best for Reliability
Muse Spark 1.2 Contributor
Higher uptime and faster response speeds
Best for Prototyping
Muse Spark 1.2 Contributor
Stronger community support and better developer experience
Best for Production
Muse Spark 1.2 Contributor
Wider enterprise adoption and proven at scale
by meta
- Choose for Quality - Marginally better benchmark scores; both are excellent
- Choose for Cost - 93% lower pricing; better value at scale
- 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 | Muse Spark 1.2 Contributor | Qwen3.5 397B A17B |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
Muse Spark 1.2 Contributor
meta
Qwen3.5 397B A17B
Alibaba
Muse Spark 1.2 Contributor saves you $4.77/month
That's 92% cheaper than Qwen3.5 397B A17B 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 | Muse Spark 1.2 Contributor | Qwen3.5 397B A17B |
|---|---|---|
| Context Window | 1.0M | 262K |
| Max Output Tokens | 943,718 | 235,929 |
| Open Source | No | Yes |
| Created | Aug 21, 2026 | Feb 16, 2026 |