GPT-4.1 Mini (batch) vs Muse Spark 1.1
| Signal | GPT-4.1 Mini (batch) | Delta | Muse Spark 1.1 |
|---|---|---|---|
Capabilities | 83 | -17 | |
Benchmarks | 70 | -9 | |
Pricing | 99 | +3 | |
Context window size | 96 | -- | |
Recency | 37 | -63 | |
Output Capacity | 72 | -23 | |
| Overall Result | 1 wins | of 6 | 4 wins |
Score History
58.9
current score
Muse Spark 1.1
right now
80.9
current score
GPT-4.1 Mini (batch)
OpenAI
Muse Spark 1.1
meta
GPT-4.1 Mini (batch) saves you $277.50/month
That's $3330.00/year compared to Muse Spark 1.1 at your current usage level of 100K calls/month.
| Metric | GPT-4.1 Mini (batch) | Muse Spark 1.1 | Winner |
|---|---|---|---|
| Overall Score | 59 | 81 | Muse Spark 1.1 |
| Rank | #217 | #84 | Muse Spark 1.1 |
| Quality Rank | #217 | #84 | Muse Spark 1.1 |
| Adoption Rank | #217 | #84 | Muse Spark 1.1 |
| Parameters | -- | -- | -- |
| Context Window | 1048K | 1049K | Muse Spark 1.1 |
| Pricing | $0.20/$0.80/M | $1.25/$4.25/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 100 | Muse Spark 1.1 |
| Benchmarks | 70 | 79 | Muse Spark 1.1 |
| Pricing | 99 | 96 | GPT-4.1 Mini (batch) |
| Context window size | 96 | 96 | GPT-4.1 Mini (batch) |
| Recency | 37 | 100 | Muse Spark 1.1 |
| Output Capacity | 72 | 96 | Muse Spark 1.1 |
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 59/100 (rank #217), placing it in the top 26% of all 290 models tracked.
Scores 81/100 (rank #84), placing it in the top 71% of all 290 models tracked.
Muse Spark 1.1 has a 22-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Choose GPT-4.1 Mini (batch) when you need:
- High-volume production workloads where API costs must be minimized
Choose Muse Spark 1.1 when you need:
- Step-by-step reasoning and chain-of-thought problem solving
GPT-4.1 Mini (batch) offers 82% better value per quality point. At 1M tokens/day, you'd spend $15.00/month with GPT-4.1 Mini (batch) vs $82.50/month with Muse Spark 1.1 - a $67.50 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. GPT-4.1 Mini (batch) 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 ($0.80/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (81/100) 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
Muse Spark 1.1 clearly outperforms GPT-4.1 Mini (batch) with a significant 22.000000000000007-point lead. For most general use cases, Muse Spark 1.1 is the stronger choice. However, GPT-4.1 Mini (batch) may still excel in niche scenarios.
By Use Case
Best for Quality
GPT-4.1 Mini (batch)
Marginally better benchmark scores; both are excellent
Best for Cost
GPT-4.1 Mini (batch)
82% lower pricing; better value at scale
Best for Reliability
GPT-4.1 Mini (batch)
Higher uptime and faster response speeds
Best for Prototyping
GPT-4.1 Mini (batch)
Stronger community support and better developer experience
Best for Production
GPT-4.1 Mini (batch)
Wider enterprise adoption and proven at scale
by OpenAI
- Choose for Quality - Marginally better benchmark scores; both are excellent
- Choose for Cost - 82% 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 | GPT-4.1 Mini (batch) | Muse Spark 1.1 |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
GPT-4.1 Mini (batch)
OpenAI
Muse Spark 1.1
meta
GPT-4.1 Mini (batch) saves you $6.03/month
That's 82% cheaper than Muse Spark 1.1 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 | GPT-4.1 Mini (batch) | Muse Spark 1.1 |
|---|---|---|
| Context Window | 1.0M | 1.0M |
| Max Output Tokens | 32,768 | 943,718 |
| Open Source | No | No |
| Created | Apr 14, 2025 | Jul 16, 2026 |