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GPT-5 Nano vs Muse Spark 1.2

GPT-5 Nano

OpenAI

62#209
vs
Signal-by-Signal Comparison
SignalGPT-5 NanoDeltaMuse Spark 1.2
Capabilities
100
--
100
Benchmarks
58
+58
0
Pricing
100
+4
96
Context window size
89
-7
96
Recency
58
-42
100
Output Capacity
82
-14
96
Overall Result
2 wins
of 6
3 wins
Muse Spark 1.2 wins 3 of 6 signals

Score History

Score History (31 data points)
GPT-5 NanoMuse Spark 1.2
GPT-5 Nano

61.9

current score

Leader

Muse Spark 1.2

right now

Muse Spark 1.2

80.9

current score

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

GPT-5 Nano

OpenAI

Best Value
Per request$0.000250
Daily$0.83
Monthly$25.00
Annual$300.00

Muse Spark 1.2

meta

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

GPT-5 Nano saves you $312.50/month

That's $3750.00/year compared to Muse Spark 1.2 at your current usage level of 100K calls/month.

93% cheaper
Choose GPT-5 Nano for cost optimization

GPT-5 Nano pricing:
Input:$0.05/M tokens
Output:$0.40/M tokens
Muse Spark 1.2 pricing:
Input:$1.25/M tokens
Output:$4.25/M tokens
GPT-5 Nano

OpenAI

62

Composite Score

Winner
Muse Spark 1.2

meta

81

Composite Score

Signal-by-Signal Comparison
MetricGPT-5 NanoMuse Spark 1.2Winner
Overall Score
62
81
Muse Spark 1.2
Rank#209#84
Muse Spark 1.2
Quality Rank#209#84
Muse Spark 1.2
Adoption Rank#209#84
Muse Spark 1.2
Parameters------
Context Window400K1049K
Muse Spark 1.2
Pricing$0.05/$0.40/M$1.25/$4.25/M--
Signal Scores
Capabilities
100
100
GPT-5 Nano
Benchmarks
58
--
GPT-5 Nano
Pricing
100
96
GPT-5 Nano
Context window size
89
96
Muse Spark 1.2
Recency
58
100
Muse Spark 1.2
Output Capacity
82
96
Muse Spark 1.2
Benchmark Head-to-Head(1 benchmarks)
GPT-5 Nano: 0Muse Spark: 0
GPT-5 Nano
Muse Spark
Normalized 0-100%
Arena Elo
1337-
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 NanoCompetitive

Scores 62/100 (rank #209), placing it in the top 28% of all 290 models tracked.

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

Scores 81/100 (rank #84), placing it in the top 71% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Muse Spark 1.2 has a 19-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-5 Nano when you need:

  • High-volume production workloads where API costs must be minimized
  • Step-by-step reasoning and chain-of-thought problem solving

Choose Muse Spark 1.2 when you need:

  • Processing long documents or large codebases (1049K token context)
  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
GPT-5 NanoBest Value
Input cost$0.05/M tokens
Output cost$0.40/M tokens
Cost per quality point$0.007
Est. monthly (1M tokens/day)$6.75
Muse Spark 1.2
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

GPT-5 Nano offers 92% better value per quality point. At 1M tokens/day, you'd spend $6.75/month with GPT-5 Nano vs $82.50/month with Muse Spark 1.2 - a $75.75 monthly difference.

Latency & Speed
GPT-5 NanoFaster
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 Nano

Customer support chatbot

Suitable for user-facing chat with competitive response times. GPT-5 Nano also offers lower per-token costs for high-volume support

GPT-5 Nano

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 ($0.40/M) reduces costs when processing thousands of records daily

GPT-5 Nano

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

GPT-5 Nano
Which Should You Choose?
Our recommendation:
Muse Spark 1.2

Muse Spark 1.2 clearly outperforms GPT-5 Nano with a significant 19.000000000000007-point lead. For most general use cases, Muse Spark 1.2 is the stronger choice. However, GPT-5 Nano may still excel in niche scenarios.

by OpenAI

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 92% 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
Muse Spark 1.2
Recommended

by meta

Consider for specialized use cases.

Capability Comparison
CapabilityGPT-5 NanoMuse 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 Nano

OpenAI

Best Value
$0.5700
estimated monthly cost

Muse Spark 1.2

meta

$7.35
estimated monthly cost

GPT-5 Nano saves you $6.78/month

That's 92% cheaper than Muse Spark 1.2 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 NanoMuse Spark 1.2
Context Window400K1.0M
Max Output Tokens128,000943,718
Open SourceNoNo
CreatedAug 7, 2025Aug 5, 2026
Last updated: 1h ago

相关对比

GPT-5 Nano vs Muse Spark 1.2 (2026) | LM Market Cap