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Perceptron Mk1.5 vs Grok 4.7

Perceptron Mk1.5

perceptron

40#237
vs
Grok 4.7

xAI

89#43
Signal-by-Signal Comparison
SignalPerceptron Mk1.5DeltaGrok 4.7
Capabilities
83
-17
100
Pricing
99
+3
95
Context window size
73
-18
90
Recency
100
--
100
Output Capacity
63
-28
90
Benchmarks
0
-86
86
Overall Result
1 wins
of 6
4 wins
Grok 4.7 wins 4 of 6 signals

Score History Unavailable

Not enough historical data to show a comparison chart. Score history is recorded weekly and will be available after at least two data points are collected.

40

Perceptron Mk1.5

vs

88.8

Grok 4.7

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

Perceptron Mk1.5

perceptron

Best Value
Per request$0.000900
Daily$3.00
Monthly$90.00
Annual$1080.00

Grok 4.7

xAI

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

Perceptron Mk1.5 saves you $310.00/month

That's $3720.00/year compared to Grok 4.7 at your current usage level of 100K calls/month.

78% cheaper
Choose Perceptron Mk1.5 for cost optimization

Perceptron Mk1.5 pricing:
Input:$0.15/M tokens
Output:$1.50/M tokens
Grok 4.7 pricing:
Input:$1.60/M tokens
Output:$4.80/M tokens
Perceptron Mk1.5

perceptron

40

Composite Score

Winner
Grok 4.7

xAI

89

Composite Score

Signal-by-Signal Comparison
MetricPerceptron Mk1.5Grok 4.7Winner
Overall Score
40
89
Grok 4.7
Rank#237#43
Grok 4.7
Quality Rank#237#43
Grok 4.7
Adoption Rank#237#43
Grok 4.7
Parameters------
Context Window37K500K
Grok 4.7
Pricing$0.15/$1.50/M$1.60/$4.80/M--
Signal Scores
Capabilities
83
100
Grok 4.7
Pricing
99
95
Perceptron Mk1.5
Context window size
73
90
Grok 4.7
Recency
100
100
Perceptron Mk1.5
Output Capacity
63
90
Grok 4.7
Benchmarks--
86
Grok 4.7
Benchmark Head-to-Head(11 benchmarks)
Perceptron Mk1.5: 0Grok 4.7: 0
Perceptron Mk1.5
Grok 4.7
Normalized 0-100%
MMLU
-91.5%
MMLU-Pro
-83.5%
GPQA Diamond
-82%
MATH-500
-95%
HumanEval
-95.5%
SWE-bench Verified
-70%
AIME 2024
-88%
IFEval
-91%
BBH
-90%
Arena Elo
-1462
LiveBench
-73%
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.

Perceptron Mk1.5Entry Level

Scores 40/100 (rank #237), placing it in the top 19% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Grok 4.7Elite Tier

Scores 89/100 (rank #43), placing it in the top 86% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Grok 4.7 has a 49-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose Perceptron Mk1.5 when you need:

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

Choose Grok 4.7 when you need:

  • Processing long documents or large codebases (500K token context)
  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
Perceptron Mk1.5Best Value
Input cost$0.15/M tokens
Output cost$1.50/M tokens
Cost per quality point$0.041
Est. monthly (1M tokens/day)$24.75
Grok 4.7
Input cost$1.60/M tokens
Output cost$4.80/M tokens
Cost per quality point$0.072
Est. monthly (1M tokens/day)$96.00

Perceptron Mk1.5 offers 74% better value per quality point. At 1M tokens/day, you'd spend $24.75/month with Perceptron Mk1.5 vs $96.00/month with Grok 4.7 - a $71.25 monthly difference.

Latency & Speed
Perceptron Mk1.5Faster
Speed score0/100
Grok 4.7
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

Perceptron Mk1.5

Customer support chatbot

Suitable for user-facing chat with competitive response times. Perceptron Mk1.5 also offers lower per-token costs for high-volume support

Perceptron Mk1.5

Long document analysis

Larger context window (500K tokens) can process longer documents, contracts, and research papers in a single pass

Grok 4.7

Batch data extraction

Lower output pricing ($1.50/M) reduces costs when processing thousands of records daily

Perceptron Mk1.5

Creative writing & content

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

Grok 4.7

Image understanding & OCR

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

Perceptron Mk1.5
Which Should You Choose?
Our recommendation:
Grok 4.7

Grok 4.7 clearly outperforms Perceptron Mk1.5 with a significant 48.8-point lead. For most general use cases, Grok 4.7 is the stronger choice. However, Perceptron Mk1.5 may still excel in niche scenarios.

by perceptron

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 74% 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
Grok 4.7
Recommended

by xAI

Consider for specialized use cases.

Capability Comparison
CapabilityPerceptron Mk1.5Grok 4.7
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoning
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Perceptron Mk1.5

perceptron

Best Value
$2.07
estimated monthly cost

Grok 4.7

xAI

$8.64
estimated monthly cost

Perceptron Mk1.5 saves you $6.57/month

That's 76% cheaper than Grok 4.7 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
ParameterPerceptron Mk1.5Grok 4.7
Context Window37K500K
Max Output Tokens8,192450,000
Open SourceNoNo
CreatedSep 25, 2026Sep 21, 2026
Last updated: 17m ago

相关对比

Perceptron Mk1.5 vs Grok 4.7 (2026) | LM Market Cap