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GPT-5.6 Terra Pro (batch) vs Grok 4.7

Signal-by-Signal Comparison
SignalGPT-5.6 Terra Pro (batch)DeltaGrok 4.7
Capabilities
100
--
100
Benchmarks
88
+1
86
Pricing
94
-1
95
Context window size
96
+5
90
Recency
100
--
100
Output Capacity
82
-9
90
Overall Result
2 wins
of 6
2 wins
It's a tie - both models win 2 signals each

Score History

Score History (7 data points)
GPT-5.6 Terra Pro (batch)Grok 4.7
GPT-5.6 Terra Pro (batch)

89

current score

Leader

GPT-5.6 Terra Pro (batch)

right now

Grok 4.7

88.8

current score

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

GPT-5.6 Terra Pro (batch)

OpenAI

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

Grok 4.7

xAI

Per request$0.004000
Daily$13.33
Monthly$400.00
Annual$4800.00
GPT-5.6 Terra Pro (batch) pricing:
Input:$1.00/M tokens
Output:$6.00/M tokens
Grok 4.7 pricing:
Input:$1.60/M tokens
Output:$4.80/M tokens
Winner
GPT-5.6 Terra Pro (batch)

OpenAI

89

Composite Score

Grok 4.7

xAI

89

Composite Score

Signal-by-Signal Comparison
MetricGPT-5.6 Terra Pro (batch)Grok 4.7Winner
Overall Score
89
89
GPT-5.6 Terra Pro (batch)
Rank#35#42
GPT-5.6 Terra Pro (batch)
Quality Rank#35#42
GPT-5.6 Terra Pro (batch)
Adoption Rank#35#42
GPT-5.6 Terra Pro (batch)
Parameters------
Context Window1050K500K
GPT-5.6 Terra Pro (batch)
Pricing$1.00/$6.00/M$1.60/$4.80/M--
Signal Scores
Capabilities
100
100
GPT-5.6 Terra Pro (batch)
Benchmarks
88
86
GPT-5.6 Terra Pro (batch)
Pricing
94
95
Grok 4.7
Context window size
96
90
GPT-5.6 Terra Pro (batch)
Recency
100
100
GPT-5.6 Terra Pro (batch)
Output Capacity
82
90
Grok 4.7
Benchmark Head-to-Head(12 benchmarks)
GPT-5.6 Terra: 9Grok 4.7: 1
GPT-5.6 Terra
Grok 4.7
Normalized 0-100%
MMLU
93%91.5%
MMLU-Pro
84.5%83.5%
GPQA Diamond
85%82%
MATH-500
92.5%95%
HumanEval
96.5%95.5%
SWE-bench Verified
75%70%
AIME 2024
-88%
IFEval
92%91%
BBH
90.5%90%
Arena Elo
14651462
LiveBench
76%73%
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 Pro (batch)Elite Tier

Scores 89/100 (rank #35), placing it in the top 88% of all 290 models tracked.

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

Scores 89/100 (rank #42), placing it in the top 86% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 0-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.

When to Use Each Model

Choose GPT-5.6 Terra Pro (batch) when you need:

  • Processing long documents or large codebases (1050K token context)
  • Step-by-step reasoning and chain-of-thought problem solving

Choose Grok 4.7 when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
GPT-5.6 Terra Pro (batch)
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
Grok 4.7Best Value
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

Grok 4.7 offers 9% better value per quality point. At 1M tokens/day, you'd spend $96.00/month with Grok 4.7 vs $105.00/month with GPT-5.6 Terra Pro (batch) - a $9.00 monthly difference.

Latency & Speed
GPT-5.6 Terra Pro (batch)Faster
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

GPT-5.6 Terra Pro (batch)

Customer support chatbot

Suitable for user-facing chat with competitive response times. Grok 4.7 also offers lower per-token costs for high-volume support

GPT-5.6 Terra Pro (batch)

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)

Batch data extraction

Lower output pricing ($4.80/M) reduces costs when processing thousands of records daily

Grok 4.7

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 (batch)

Image understanding & OCR

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

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

GPT-5.6 Terra Pro (batch) and Grok 4.7 are extremely close in overall performance (only 0.20000000000000284 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

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 xAI

  • Choose for Cost - 9% lower pricing; better value at scale
Capability Comparison
CapabilityGPT-5.6 Terra Pro (batch)Grok 4.7
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 (batch)

OpenAI

$9.00
estimated monthly cost

Grok 4.7

xAI

Best Value
$8.64
estimated monthly cost

Grok 4.7 saves you $0.3600/month

That's 4% cheaper than GPT-5.6 Terra Pro (batch) 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 Pro (batch)Grok 4.7
Context Window1.1M500K
Max Output Tokens128,000450,000
Open SourceNoNo
CreatedJul 9, 2026Sep 21, 2026
Last updated: 57m ago

相关对比

GPT-5.6 Terra Pro (batch) vs Grok 4.7 (2026) | LM Market Cap