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GPT-6.1 Terra (batch) vs Kimi K2.7 Code

vs
Kimi K2.7 Code

Moonshot AI

40#301
Signal-by-Signal Comparison
SignalGPT-6.1 Terra (batch)DeltaKimi K2.7 Code
Capabilities
100
+17
83
Pricing
98
+1
97
Context window size
96
+10
86
Recency
100
--
100
Output Capacity
82
-4
86
Overall Result
3 wins
of 5
1 wins
GPT-6.1 Terra (batch) wins 3 of 5 signals

Score History

Score History (22 data points)
GPT-6.1 Terra (batch)Kimi K2.7 Code
GPT-6.1 Terra (batch)

40

current score

Leader

Tied

right now

Kimi K2.7 Code

40

current score

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

GPT-6.1 Terra (batch)

OpenAI

Best Value
Per request$0.001750
Daily$5.83
Monthly$175.00
Annual$2100.00

Kimi K2.7 Code

Moonshot AI

Per request$0.002350
Daily$7.83
Monthly$235.00
Annual$2820.00

GPT-6.1 Terra (batch) saves you $60.00/month

That's $720.00/year compared to Kimi K2.7 Code at your current usage level of 100K calls/month.

26% cheaper
Choose GPT-6.1 Terra (batch) for cost optimization

GPT-6.1 Terra (batch) pricing:
Input:$0.50/M tokens
Output:$2.50/M tokens
Kimi K2.7 Code pricing:
Input:$0.60/M tokens
Output:$3.50/M tokens
Tie
GPT-6.1 Terra (batch)

OpenAI

40

Composite Score

Tie
Kimi K2.7 Code

Moonshot AI

40

Composite Score

Signal-by-Signal Comparison
MetricGPT-6.1 Terra (batch)Kimi K2.7 CodeWinner
Overall Score
40
40
--
Rank#183#301
GPT-6.1 Terra (batch)
Quality Rank#183#301
GPT-6.1 Terra (batch)
Adoption Rank#183#301
GPT-6.1 Terra (batch)
Parameters------
Context Window1050K262K
GPT-6.1 Terra (batch)
Pricing$0.50/$2.50/M$0.60/$3.50/M--
Signal Scores
Capabilities
100
83
GPT-6.1 Terra (batch)
Pricing
98
97
GPT-6.1 Terra (batch)
Context window size
96
86
GPT-6.1 Terra (batch)
Recency
100
100
GPT-6.1 Terra (batch)
Output Capacity
82
86
Kimi K2.7 Code
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-6.1 Terra (batch)Entry Level

Scores 40/100 (rank #183), placing it in the top 37% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Kimi K2.7 CodeEntry Level

Scores 40/100 (rank #301), placing it in the top -3% 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-6.1 Terra (batch) when you need:

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

Choose Kimi K2.7 Code when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
GPT-6.1 Terra (batch)Best Value
Input cost$0.50/M tokens
Output cost$2.50/M tokens
Cost per quality point$0.075
Est. monthly (1M tokens/day)$45.00
Kimi K2.7 Code
Input cost$0.60/M tokens
Output cost$3.50/M tokens
Cost per quality point$0.102
Est. monthly (1M tokens/day)$61.50

GPT-6.1 Terra (batch) offers 27% better value per quality point. At 1M tokens/day, you'd spend $45.00/month with GPT-6.1 Terra (batch) vs $61.50/month with Kimi K2.7 Code - a $16.50 monthly difference.

Latency & Speed
GPT-6.1 Terra (batch)Faster
Speed score0/100
Kimi K2.7 Code
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-6.1 Terra (batch)

Customer support chatbot

Suitable for user-facing chat with competitive response times. GPT-6.1 Terra (batch) also offers lower per-token costs for high-volume support

GPT-6.1 Terra (batch)

Long document analysis

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

GPT-6.1 Terra (batch)

Batch data extraction

Lower output pricing ($2.50/M) reduces costs when processing thousands of records daily

GPT-6.1 Terra (batch)

Creative writing & content

Higher overall composite score (40/100) correlates with better nuance, coherence, and style in long-form content

GPT-6.1 Terra (batch)

Image understanding & OCR

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

GPT-6.1 Terra (batch)
Which Should You Choose?
Our recommendation:
GPT-6.1 Terra (batch)

GPT-6.1 Terra (batch) and Kimi K2.7 Code are extremely close in overall performance (only 0 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 Cost - 27% 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 Moonshot AI

Consider for specialized use cases.

Capability Comparison
CapabilityGPT-6.1 Terra (batch)Kimi K2.7 Code
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)

GPT-6.1 Terra (batch)

OpenAI

Best Value
$3.90
estimated monthly cost

Kimi K2.7 Code

Moonshot AI

$5.28
estimated monthly cost

GPT-6.1 Terra (batch) saves you $1.38/month

That's 26% cheaper than Kimi K2.7 Code 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-6.1 Terra (batch)Kimi K2.7 Code
Context Window1.1M262K
Max Output Tokens128,000235,929
Open SourceNoYes
CreatedOct 26, 2026Jun 12, 2026
Last updated: 59m ago

相关对比

GPT-6.1 Terra (batch) vs Kimi K2.7 Code (2026) | LM Market Cap