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GPT-5.6 Terra Pro vs Muse Spark 1.2

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Signal-by-Signal Comparison
SignalGPT-5.6 Terra ProDeltaMuse Spark 1.2
Capabilities
100
--
100
Benchmarks
88
+88
0
Pricing
94
-2
96
Context window size
96
+0
96
Recency
100
--
100
Output Capacity
85
+65
20
Overall Result
3 wins
of 6
1 wins
GPT-5.6 Terra Pro wins 3 of 6 signals

Score History

Score History (5 data points)
GPT-5.6 Terra ProMuse Spark 1.2
GPT-5.6 Terra Pro

89

current score

Leader

GPT-5.6 Terra Pro

right now

Muse Spark 1.2

80.2

current score

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

GPT-5.6 Terra Pro

OpenAI

Per request$0.004000
Daily$13.33
Monthly$400.00
Annual$4800.00

Muse Spark 1.2

meta

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

Muse Spark 1.2 saves you $62.50/month

That's $750.00/year compared to GPT-5.6 Terra Pro at your current usage level of 100K calls/month.

16% cheaper
Choose Muse Spark 1.2 for cost optimization

GPT-5.6 Terra Pro pricing:
Input:$1.00/M tokens
Output:$6.00/M tokens
Muse Spark 1.2 pricing:
Input:$1.25/M tokens
Output:$4.25/M tokens
Winner
GPT-5.6 Terra Pro

OpenAI

89

Composite Score

Muse Spark 1.2

meta

80

Composite Score

Signal-by-Signal Comparison
MetricGPT-5.6 Terra ProMuse Spark 1.2Winner
Overall Score
89
80
GPT-5.6 Terra Pro
Rank#36#85
GPT-5.6 Terra Pro
Quality Rank#36#85
GPT-5.6 Terra Pro
Adoption Rank#36#85
GPT-5.6 Terra Pro
Parameters------
Context Window1050K1049K
GPT-5.6 Terra Pro
Pricing$1.00/$6.00/M$1.25/$4.25/M--
Signal Scores
Capabilities
100
100
GPT-5.6 Terra Pro
Benchmarks
88
--
GPT-5.6 Terra Pro
Pricing
94
96
Muse Spark 1.2
Context window size
96
96
GPT-5.6 Terra Pro
Recency
100
100
GPT-5.6 Terra Pro
Output Capacity
85
20
GPT-5.6 Terra Pro
Benchmark Head-to-Head(11 benchmarks)
GPT-5.6 Terra: 0Muse Spark: 0
GPT-5.6 Terra
Muse Spark
Normalized 0-100%
MMLU
93%-
MMLU-Pro
84.5%-
GPQA Diamond
85%-
MATH-500
92.5%-
HumanEval
96.5%-
SWE-bench Verified
75%-
IFEval
92%-
BBH
90.5%-
Arena Elo
1465-
LiveBench
76%-
HLE
35%-
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-5.6 Terra ProElite Tier

Scores 89/100 (rank #36), placing it in the top 88% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Muse Spark 1.2Strong Performer

Scores 80/100 (rank #85), placing it in the top 71% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

GPT-5.6 Terra Pro has a 9-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose GPT-5.6 Terra Pro when you need:

  • Step-by-step reasoning and chain-of-thought problem solving

Choose Muse Spark 1.2 when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
GPT-5.6 Terra Pro
Input cost$1.00/M tokens
Output cost$6.00/M tokens
Cost per quality point$0.079
Est. monthly (1M tokens/day)$105.00
Muse Spark 1.2Best Value
Input cost$1.25/M tokens
Output cost$4.25/M tokens
Cost per quality point$0.069
Est. monthly (1M tokens/day)$82.50

Muse Spark 1.2 offers 21% better value per quality point. At 1M tokens/day, you'd spend $82.50/month with Muse Spark 1.2 vs $105.00/month with GPT-5.6 Terra Pro - a $22.50 monthly difference.

Latency & Speed
GPT-5.6 Terra ProFaster
Speed score0/100
Muse Spark 1.2
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-5.6 Terra Pro

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

GPT-5.6 Terra Pro

Long document analysis

Larger context window (1050K tokens) can process longer documents, contracts, and research papers in a single pass

GPT-5.6 Terra Pro

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 (89/100) correlates with better nuance, coherence, and style in long-form content

GPT-5.6 Terra Pro

Image understanding & OCR

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

GPT-5.6 Terra Pro
Which Should You Choose?
Our recommendation:
GPT-5.6 Terra Pro

GPT-5.6 Terra Pro has a moderate advantage with a 8.799999999999997-point lead in composite score. It wins on more signal dimensions, but Muse Spark 1.2 has specific strengths that could make it the better choice for certain workflows.

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 - 21% lower pricing; better value at scale
Capability Comparison
CapabilityGPT-5.6 Terra ProMuse Spark 1.2
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)

GPT-5.6 Terra Pro

OpenAI

$9.00
estimated monthly cost

Muse Spark 1.2

meta

Best Value
$7.35
estimated monthly cost

Muse Spark 1.2 saves you $1.65/month

That's 18% cheaper than GPT-5.6 Terra Pro 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-5.6 Terra ProMuse Spark 1.2
Context Window1.1M1.0M
Max Output Tokens128,000--
Open SourceNoNo
CreatedJul 9, 2026Aug 5, 2026
Last updated: 42m ago

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