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GPT-6 Luna (batch) vs Kimi K2 Thinking

GPT-6 Luna (batch)

OpenAI

40#238
vs
Kimi K2 Thinking

Moonshot AI

40#360
Signal-by-Signal Comparison
SignalGPT-6 Luna (batch)DeltaKimi K2 Thinking
Capabilities
100
+33
67
Pricing
100
+2
98
Context window size
96
+10
86
Recency
100
+26
75
Output Capacity
82
+2
80
Overall Result
5 wins
of 5
0 wins
GPT-6 Luna (batch) wins 5 of 5 signals

Score History

Score History (32 data points)
GPT-6 Luna (batch)Kimi K2 Thinking
GPT-6 Luna (batch)

40

current score

Leader

Tied

right now

Kimi K2 Thinking

40

current score

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

GPT-6 Luna (batch)

OpenAI

Best Value
Per request$0.000175
Daily$0.58
Monthly$17.50
Annual$210.00

Kimi K2 Thinking

Moonshot AI

Per request$0.001850
Daily$6.17
Monthly$185.00
Annual$2220.00

GPT-6 Luna (batch) saves you $167.50/month

That's $2010.00/year compared to Kimi K2 Thinking at your current usage level of 100K calls/month.

91% cheaper
Choose GPT-6 Luna (batch) for cost optimization

GPT-6 Luna (batch) pricing:
Input:$0.05/M tokens
Output:$0.25/M tokens
Kimi K2 Thinking pricing:
Input:$0.60/M tokens
Output:$2.50/M tokens
Tie
GPT-6 Luna (batch)

OpenAI

40

Composite Score

Tie
Kimi K2 Thinking

Moonshot AI

40

Composite Score

Signal-by-Signal Comparison
MetricGPT-6 Luna (batch)Kimi K2 ThinkingWinner
Overall Score
40
40
--
Rank#238#360
GPT-6 Luna (batch)
Quality Rank#238#360
GPT-6 Luna (batch)
Adoption Rank#238#360
GPT-6 Luna (batch)
Parameters------
Context Window1050K262K
GPT-6 Luna (batch)
Pricing$0.05/$0.25/M$0.60/$2.50/M--
Signal Scores
Capabilities
100
67
GPT-6 Luna (batch)
Pricing
100
98
GPT-6 Luna (batch)
Context window size
96
86
GPT-6 Luna (batch)
Recency
100
75
GPT-6 Luna (batch)
Output Capacity
82
80
GPT-6 Luna (batch)
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 Luna (batch)Entry Level

Scores 40/100 (rank #238), placing it in the top 18% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Kimi K2 ThinkingEntry Level

Scores 40/100 (rank #360), placing it in the top -24% 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 Luna (batch) when you need:

  • High-volume production workloads where API costs must be minimized
  • Processing long documents or large codebases (1050K token context)
  • Multimodal workflows that require image understanding
  • Step-by-step reasoning and chain-of-thought problem solving

Choose Kimi K2 Thinking 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 Luna (batch)Best Value
Input cost$0.05/M tokens
Output cost$0.25/M tokens
Cost per quality point$0.007
Est. monthly (1M tokens/day)$4.50
Kimi K2 Thinking
Input cost$0.60/M tokens
Output cost$2.50/M tokens
Cost per quality point$0.077
Est. monthly (1M tokens/day)$46.50

GPT-6 Luna (batch) offers 90% better value per quality point. At 1M tokens/day, you'd spend $4.50/month with GPT-6 Luna (batch) vs $46.50/month with Kimi K2 Thinking - a $42.00 monthly difference.

Latency & Speed
GPT-6 Luna (batch)Faster
Speed score0/100
Kimi K2 Thinking
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 Luna (batch)

Customer support chatbot

Suitable for user-facing chat with competitive response times. GPT-6 Luna (batch) also offers lower per-token costs for high-volume support

GPT-6 Luna (batch)

Long document analysis

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

GPT-6 Luna (batch)

Batch data extraction

Lower output pricing ($0.25/M) reduces costs when processing thousands of records daily

GPT-6 Luna (batch)

Creative writing & content

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

GPT-6 Luna (batch)

Image understanding & OCR

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

GPT-6 Luna (batch)
Which Should You Choose?
Our recommendation:
GPT-6 Luna (batch)

GPT-6 Luna (batch) and Kimi K2 Thinking 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 - 90% 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 Luna (batch)Kimi K2 Thinking
Vision (Image Input)differs
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 Luna (batch)

OpenAI

Best Value
$0.3900
estimated monthly cost

Kimi K2 Thinking

Moonshot AI

$4.08
estimated monthly cost

GPT-6 Luna (batch) saves you $3.69/month

That's 90% cheaper than Kimi K2 Thinking 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 Luna (batch)Kimi K2 Thinking
Context Window1.1M262K
Max Output Tokens128,00098,304
Open SourceNoYes
CreatedSep 22, 2026Nov 6, 2025
Last updated: 1m ago

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GPT-6 Luna (batch) vs Kimi K2 Thinking (2026) | LM Market Cap