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GPT-4.1 Mini vs Kimi K2.7 Code

GPT-4.1 Mini

OpenAI

54#165
vs
Kimi K2.7 Code

Moonshot AI

54#163
Signal-by-Signal Comparison
SignalGPT-4.1 MiniDeltaKimi K2.7 Code
Capabilities
83
--
83
Benchmarks
51
+0
51
Pricing
98
+2
97
Context window size
96
+10
86
Recency
46
-54
100
Output Capacity
75
-15
90
Overall Result
3 wins
of 6
2 wins
GPT-4.1 Mini wins 3 of 6 signals

Score History

Score History (25 data points)
GPT-4.1 MiniKimi K2.7 Code
GPT-4.1 Mini

53.6

current score

Leader

Kimi K2.7 Code

right now

Kimi K2.7 Code

54.1

current score

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

GPT-4.1 Mini

OpenAI

Best Value
Per request$0.001200
Daily$4.00
Monthly$120.00
Annual$1440.00

Kimi K2.7 Code

Moonshot AI

Per request$0.002480
Daily$8.27
Monthly$248.00
Annual$2976.00

GPT-4.1 Mini saves you $128.00/month

That's $1536.00/year compared to Kimi K2.7 Code at your current usage level of 100K calls/month.

52% cheaper
Choose GPT-4.1 Mini for cost optimization

GPT-4.1 Mini pricing:
Input:$0.40/M tokens
Output:$1.60/M tokens
Kimi K2.7 Code pricing:
Input:$0.73/M tokens
Output:$3.50/M tokens
GPT-4.1 Mini

OpenAI

54

Composite Score

Winner
Kimi K2.7 Code

Moonshot AI

54

Composite Score

Signal-by-Signal Comparison
MetricGPT-4.1 MiniKimi K2.7 CodeWinner
Overall Score
54
54
Kimi K2.7 Code
Rank#165#163
Kimi K2.7 Code
Quality Rank#165#163
Kimi K2.7 Code
Adoption Rank#165#163
Kimi K2.7 Code
Parameters------
Context Window1048K262K
GPT-4.1 Mini
Pricing$0.40/$1.60/M$0.73/$3.50/M--
Signal Scores
Capabilities
83
83
GPT-4.1 Mini
Benchmarks
51
51
GPT-4.1 Mini
Pricing
98
97
GPT-4.1 Mini
Context window size
96
86
GPT-4.1 Mini
Recency
46
100
Kimi K2.7 Code
Output Capacity
75
90
Kimi K2.7 Code
Benchmark Head-to-Head(3 benchmarks)
GPT-4.1 Mini: 0Kimi K2.7: 1
GPT-4.1 Mini
Kimi K2.7
Normalized 0-100%
SWE-bench Verified
23.9%63.4%
Arena Elo
1383-
BigCodeBench
48.9%-
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-4.1 MiniCompetitive

Scores 54/100 (rank #165), placing it in the top 43% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Kimi K2.7 CodeCompetitive

Scores 54/100 (rank #163), placing it in the top 44% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 1-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-4.1 Mini when you need:

  • High-volume production workloads where API costs must be minimized
  • Processing long documents or large codebases (1048K token context)

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-4.1 MiniBest Value
Input cost$0.40/M tokens
Output cost$1.60/M tokens
Cost per quality point$0.037
Est. monthly (1M tokens/day)$30.00
Kimi K2.7 Code
Input cost$0.73/M tokens
Output cost$3.50/M tokens
Cost per quality point$0.078
Est. monthly (1M tokens/day)$63.45

GPT-4.1 Mini offers 53% better value per quality point. At 1M tokens/day, you'd spend $30.00/month with GPT-4.1 Mini vs $63.45/month with Kimi K2.7 Code - a $33.45 monthly difference.

Latency & Speed
GPT-4.1 MiniFaster
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-4.1 Mini

Customer support chatbot

Suitable for user-facing chat with competitive response times. GPT-4.1 Mini also offers lower per-token costs for high-volume support

GPT-4.1 Mini

Long document analysis

Larger context window (1048K tokens) can process longer documents, contracts, and research papers in a single pass

GPT-4.1 Mini

Batch data extraction

Lower output pricing ($1.60/M) reduces costs when processing thousands of records daily

GPT-4.1 Mini

Creative writing & content

Higher overall composite score (54/100) correlates with better nuance, coherence, and style in long-form content

Kimi K2.7 Code

Image understanding & OCR

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

GPT-4.1 Mini
Which Should You Choose?
Our recommendation:
Kimi K2.7 Code

GPT-4.1 Mini and Kimi K2.7 Code are extremely close in overall performance (only 0.5 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 - 53% 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
Kimi K2.7 Code
Recommended

by Moonshot AI

Consider for specialized use cases.

Capability Comparison
CapabilityGPT-4.1 MiniKimi K2.7 Code
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoningdiffers
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

GPT-4.1 Mini

OpenAI

Best Value
$2.64
estimated monthly cost

Kimi K2.7 Code

Moonshot AI

$5.51
estimated monthly cost

GPT-4.1 Mini saves you $2.87/month

That's 52% 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-4.1 MiniKimi K2.7 Code
Context Window1.0M262K
Max Output Tokens32,768262,144
Open SourceNoYes
CreatedApr 14, 2025Jun 12, 2026
Last updated: 10m ago

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GPT-4.1 Mini vs Kimi K2.7 Code (2026) | LM Market Cap