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Muse Spark 1.2 vs o1

vs
o1

OpenAI

74#134
Signal-by-Signal Comparison
SignalMuse Spark 1.2Deltao1
Capabilities
100
--
100
Pricing
96
+56
40
Context window size
96
+11
84
Recency
100
+84
16
Output Capacity
96
+16
80
Benchmarks
0
-76
77
Overall Result
4 wins
of 6
1 wins
Muse Spark 1.2 wins 4 of 6 signals

Score History

Score History (32 data points)
Muse Spark 1.2o1
Muse Spark 1.2

80.9

current score

Leader

Muse Spark 1.2

right now

o1

74.4

current score

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

Muse Spark 1.2

meta

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

o1

OpenAI

Per request$0.045000
Daily$150.00
Monthly$4500.00
Annual$54000.00

Muse Spark 1.2 saves you $4162.50/month

That's $49950.00/year compared to o1 at your current usage level of 100K calls/month.

93% cheaper
Choose Muse Spark 1.2 for cost optimization

Muse Spark 1.2 pricing:
Input:$1.25/M tokens
Output:$4.25/M tokens
o1 pricing:
Input:$15.00/M tokens
Output:$60.00/M tokens
Winner
Muse Spark 1.2

meta

81

Composite Score

o1

OpenAI

74

Composite Score

Signal-by-Signal Comparison
MetricMuse Spark 1.2o1Winner
Overall Score
81
74
Muse Spark 1.2
Rank#83#134
Muse Spark 1.2
Quality Rank#83#134
Muse Spark 1.2
Adoption Rank#83#134
Muse Spark 1.2
Parameters------
Context Window1049K200K
Muse Spark 1.2
Pricing$1.25/$4.25/M$15.00/$60.00/M--
Signal Scores
Capabilities
100
100
Muse Spark 1.2
Pricing
96
40
Muse Spark 1.2
Context window size
96
84
Muse Spark 1.2
Recency
100
16
Muse Spark 1.2
Output Capacity
96
80
Muse Spark 1.2
Benchmarks--
77
o1
Benchmark Head-to-Head(12 benchmarks)
Muse Spark: 0o1: 0
Muse Spark
o1
Normalized 0-100%
MMLU
-91.8%
MMLU-Pro
-80.3%
GPQA Diamond
-78%
MATH-500
-96.4%
HumanEval
-92.4%
SWE-bench Verified
-48.9%
AIME 2024
-83.3%
IFEval
-86.5%
BBH
-89%
Arena Elo
-1350
HLE
-8.12%
BigCodeBench
-32.4%
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 1.2Strong Performer

Scores 81/100 (rank #83), placing it in the top 72% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
o1Strong Performer

Scores 74/100 (rank #134), placing it in the top 54% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Muse Spark 1.2 has a 7-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose Muse Spark 1.2 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 o1 when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
Muse Spark 1.2Best 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
o1
Input cost$15.00/M tokens
Output cost$60.00/M tokens
Cost per quality point$1.008
Est. monthly (1M tokens/day)$1125.00

Muse Spark 1.2 offers 93% better value per quality point. At 1M tokens/day, you'd spend $82.50/month with Muse Spark 1.2 vs $1125.00/month with o1 - a $1042.50 monthly difference.

Latency & Speed
Muse Spark 1.2Faster
Speed score0/100
o1
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 1.2

Customer support chatbot

Suitable for user-facing chat with competitive response times. Muse Spark 1.2 also offers lower per-token costs for high-volume support

Muse Spark 1.2

Long document analysis

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

Muse Spark 1.2

Batch data extraction

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

Muse Spark 1.2

Creative writing & content

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

Muse Spark 1.2

Image understanding & OCR

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

Muse Spark 1.2
Which Should You Choose?
Our recommendation:
Muse Spark 1.2

Muse Spark 1.2 has a moderate advantage with a 6.5-point lead in composite score. It wins on more signal dimensions, but o1 has specific strengths that could make it the better choice for certain workflows.

Muse Spark 1.2
Recommended

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

by OpenAI

Consider for specialized use cases.

Capability Comparison
CapabilityMuse Spark 1.2o1
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 1.2

meta

Best Value
$7.35
estimated monthly cost

o1

OpenAI

$99.00
estimated monthly cost

Muse Spark 1.2 saves you $91.65/month

That's 93% cheaper than o1 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 1.2o1
Context Window1.0M200K
Max Output Tokens943,718100,000
Open SourceNoNo
CreatedAug 5, 2026Dec 17, 2024
Last updated: 7m ago

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