Skip to content

Muse Spark 1.1 vs OpenAI GPT Mini Latest

vs
Signal-by-Signal Comparison
SignalMuse Spark 1.1DeltaOpenAI GPT Mini Latest
Capabilities
100
--
100
Benchmarks
79
+79
0
Pricing
96
+0
96
Context window size
86
+6
80
Recency
100
--
100
Output Capacity
20
-65
85
Overall Result
3 wins
of 6
1 wins
Muse Spark 1.1 wins 3 of 6 signals

Score History

Score History (12 data points)
Muse Spark 1.1OpenAI GPT Mini Latest
Muse Spark 1.1

80.5

current score

Leader

Muse Spark 1.1

right now

OpenAI GPT Mini Latest

40

current score

LMMarketCap.com
Interactive Price Comparison
100Kcalls/month
1,000tokens (~1,333 chars)
500tokens (~667 chars)

Muse Spark 1.1

meta

Per request$0.003375
Daily$11.25
Monthly$337.50
Annual$4050.00

OpenAI GPT Mini Latest

~openai

Best Value
Per request$0.003000
Daily$10.00
Monthly$300.00
Annual$3600.00

OpenAI GPT Mini Latest saves you $37.50/month

That's $450.00/year compared to Muse Spark 1.1 at your current usage level of 100K calls/month.

11% cheaper
Choose OpenAI GPT Mini Latest for cost optimization

Muse Spark 1.1 pricing:
Input:$1.25/M tokens
Output:$4.25/M tokens
OpenAI GPT Mini Latest pricing:
Input:$0.75/M tokens
Output:$4.50/M tokens
Winner
Muse Spark 1.1

meta

81

Composite Score

OpenAI GPT Mini Latest

~openai

40

Composite Score

Signal-by-Signal Comparison
MetricMuse Spark 1.1OpenAI GPT Mini LatestWinner
Overall Score
81
40
Muse Spark 1.1
Rank#55#206
Muse Spark 1.1
Quality Rank#55#206
Muse Spark 1.1
Adoption Rank#55#206
Muse Spark 1.1
Parameters------
Context Window1049K400K
Muse Spark 1.1
Pricing$1.25/$4.25/M$0.75/$4.50/M--
Signal Scores
Capabilities
100
100
Muse Spark 1.1
Benchmarks
79
--
Muse Spark 1.1
Pricing
96
96
Muse Spark 1.1
Context window size
86
80
Muse Spark 1.1
Recency
100
100
Muse Spark 1.1
Output Capacity
20
85
OpenAI GPT Mini Latest
Benchmark Head-to-Head(1 benchmarks)
Muse Spark: 0OpenAI GPT: 0
Muse Spark
OpenAI GPT
Normalized 0-100%
Arena Elo
1493-
Benchmark Interpretation

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.

Muse Spark 1.1Strong Performer

Scores 81/100 (rank #55), placing it in the top 81% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
OpenAI GPT Mini LatestEntry Level

Scores 40/100 (rank #206), placing it in the top 29% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Muse Spark 1.1 has a 41-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose Muse Spark 1.1 when you need:

  • Processing long documents or large codebases (1049K token context)
  • Step-by-step reasoning and chain-of-thought problem solving

Choose OpenAI GPT Mini Latest when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
Muse Spark 1.1Best Value
Input cost$1.25/M tokens
Output cost$4.25/M tokens
Cost per quality point$0.068
Est. monthly (1M tokens/day)$82.50
OpenAI GPT Mini Latest
Input cost$0.75/M tokens
Output cost$4.50/M tokens
Cost per quality point$0.131
Est. monthly (1M tokens/day)$78.75

Muse Spark 1.1 offers 5% better value per quality point. At 1M tokens/day, you'd spend $78.75/month with OpenAI GPT Mini Latest vs $82.50/month with Muse Spark 1.1 - a $3.75 monthly difference.

Latency & Speed
Muse Spark 1.1Faster
Speed score0/100
OpenAI GPT Mini Latest
Speed score0/100

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.

Example Use Cases

Code generation & review

Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring

Muse Spark 1.1

Customer support chatbot

Suitable for user-facing chat with competitive response times. Muse Spark 1.1 also offers lower per-token costs for high-volume support

Muse Spark 1.1

Long document analysis

Larger context window (1049K tokens) can process longer documents, contracts, and research papers in a single pass

Muse Spark 1.1

Batch data extraction

Lower output pricing ($4.25/M) reduces costs when processing thousands of records daily

Muse Spark 1.1

Creative writing & content

Higher overall composite score (81/100) correlates with better nuance, coherence, and style in long-form content

Muse Spark 1.1

Image understanding & OCR

Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly

Muse Spark 1.1
Which Should You Choose?
Our recommendation:
Muse Spark 1.1

Muse Spark 1.1 clearly outperforms OpenAI GPT Mini Latest with a significant 40.5-point lead. For most general use cases, Muse Spark 1.1 is the stronger choice. However, OpenAI GPT Mini Latest may still excel in niche scenarios.

Muse Spark 1.1
Recommended

by meta

  • 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

by ~openai

  • Choose for Cost - 5% lower pricing; better value at scale
Capability Comparison
CapabilityMuse Spark 1.1OpenAI GPT Mini Latest
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Muse Spark 1.1

meta

$7.35
estimated monthly cost

OpenAI GPT Mini Latest

~openai

Best Value
$6.75
estimated monthly cost

OpenAI GPT Mini Latest saves you $0.6000/month

That's 8% 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.

Parameters & Context
ParameterMuse Spark 1.1OpenAI GPT Mini Latest
Context Window1.0M400K
Max Output Tokens--128,000
Open SourceNoNo
CreatedJul 16, 2026Apr 27, 2026
Last updated: 41m ago

相关对比

Muse Spark 1.1 vs OpenAI GPT Mini Latest (2026) | LM Market Cap