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GPT-4.1 vs Muse Spark 1.2 Contributor

GPT-4.1

OpenAI

68#180
vs
Signal-by-Signal Comparison
SignalGPT-4.1DeltaMuse Spark 1.2 Contributor
Capabilities
83
-17
100
Benchmarks
70
+70
0
Pricing
92
-8
100
Context window size
96
--
96
Recency
37
-63
100
Output Capacity
72
-23
96
Overall Result
1 wins
of 6
4 wins
Muse Spark 1.2 Contributor wins 4 of 6 signals

Score History

Score History (32 data points)
GPT-4.1Muse Spark 1.2 Contributor
GPT-4.1

67.7

current score

Leader

GPT-4.1

right now

Muse Spark 1.2 Contributor

40

current score

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

GPT-4.1

OpenAI

Per request$0.006000
Daily$20.00
Monthly$600.00
Annual$7200.00

Muse Spark 1.2 Contributor

meta

Best Value
Per request$0.000200
Daily$0.67
Monthly$20.00
Annual$240.00

Muse Spark 1.2 Contributor saves you $580.00/month

That's $6960.00/year compared to GPT-4.1 at your current usage level of 100K calls/month.

97% cheaper
Choose Muse Spark 1.2 Contributor for cost optimization

GPT-4.1 pricing:
Input:$2.00/M tokens
Output:$8.00/M tokens
Muse Spark 1.2 Contributor pricing:
Input:$0.10/M tokens
Output:$0.20/M tokens
Winner
GPT-4.1

OpenAI

68

Composite Score

Muse Spark 1.2 Contributor

meta

40

Composite Score

Signal-by-Signal Comparison
MetricGPT-4.1Muse Spark 1.2 ContributorWinner
Overall Score
68
40
GPT-4.1
Rank#180#269
GPT-4.1
Quality Rank#180#269
GPT-4.1
Adoption Rank#180#269
GPT-4.1
Parameters------
Context Window1048K1049K
Muse Spark 1.2 Contributor
Pricing$2.00/$8.00/M$0.10/$0.20/M--
Signal Scores
Capabilities
83
100
Muse Spark 1.2 Contributor
Benchmarks
70
--
GPT-4.1
Pricing
92
100
Muse Spark 1.2 Contributor
Context window size
96
96
GPT-4.1
Recency
37
100
Muse Spark 1.2 Contributor
Output Capacity
72
96
Muse Spark 1.2 Contributor
Benchmark Head-to-Head(12 benchmarks)
GPT-4.1: 0Muse Spark: 0
GPT-4.1
Muse Spark
Normalized 0-100%
MMLU
89.2%-
MMLU-Pro
81.8%-
GPQA Diamond
56%-
MATH-500
78.5%-
HumanEval
91.5%-
SWE-bench Verified
54.6%-
IFEval
88.2%-
BBH
84%-
Arena Elo
1300-
LiveBench
64.5%-
HLE
5.4%-
BigCodeBench
31.8%-
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.

GPT-4.1Competitive

Scores 68/100 (rank #180), placing it in the top 38% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Muse Spark 1.2 ContributorEntry Level

Scores 40/100 (rank #269), placing it in the top 8% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

GPT-4.1 has a 28-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose GPT-4.1 when you need:

  • Budget-friendly applications with moderate quality requirements

Choose Muse Spark 1.2 Contributor when you need:

  • High-volume production workloads where API costs must be minimized
  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
GPT-4.1
Input cost$2.00/M tokens
Output cost$8.00/M tokens
Cost per quality point$0.148
Est. monthly (1M tokens/day)$150.00
Muse Spark 1.2 ContributorBest Value
Input cost$0.10/M tokens
Output cost$0.20/M tokens
Cost per quality point$0.007
Est. monthly (1M tokens/day)$4.50

Muse Spark 1.2 Contributor offers 97% better value per quality point. At 1M tokens/day, you'd spend $4.50/month with Muse Spark 1.2 Contributor vs $150.00/month with GPT-4.1 - a $145.50 monthly difference.

Latency & Speed
GPT-4.1Faster
Speed score0/100
Muse Spark 1.2 Contributor
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

GPT-4.1

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

GPT-4.1

Long document analysis

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

Muse Spark 1.2 Contributor

Batch data extraction

Lower output pricing ($0.20/M) reduces costs when processing thousands of records daily

Muse Spark 1.2 Contributor

Creative writing & content

Higher overall composite score (68/100) correlates with better nuance, coherence, and style in long-form content

GPT-4.1

Image understanding & OCR

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

GPT-4.1
Which Should You Choose?
Our recommendation:
GPT-4.1

GPT-4.1 clearly outperforms Muse Spark 1.2 Contributor with a significant 27.700000000000003-point lead. For most general use cases, GPT-4.1 is the stronger choice. However, Muse Spark 1.2 Contributor may still excel in niche scenarios.

GPT-4.1
Recommended

by OpenAI

  • 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 meta

  • Choose for Cost - 97% lower pricing; better value at scale
Capability Comparison
CapabilityGPT-4.1Muse Spark 1.2 Contributor
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoningdiffers
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

GPT-4.1

OpenAI

$13.20
estimated monthly cost

Muse Spark 1.2 Contributor

meta

Best Value
$0.4200
estimated monthly cost

Muse Spark 1.2 Contributor saves you $12.78/month

That's 97% cheaper than GPT-4.1 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
ParameterGPT-4.1Muse Spark 1.2 Contributor
Context Window1.0M1.0M
Max Output Tokens32,768943,718
Open SourceNoNo
CreatedApr 14, 2025Aug 21, 2026
Last updated: 13m ago

相关对比

GPT-4.1 vs Muse Spark 1.2 Contributor (2026) | LM Market Cap