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Kimi K2 0711 vs Kimi K2 Thinking

Kimi K2 0711

Moonshot AI

51#171
vs
Kimi K2 Thinking

Moonshot AI

53#169
Signal-by-Signal Comparison
SignalKimi K2 0711DeltaKimi K2 Thinking
Capabilities
33
-33
67
Benchmarks
51
--
51
Pricing
98
+0
98
Context window size
81
-5
86
Recency
63
-21
85
Output Capacity
83
--
83
Overall Result
1 wins
of 6
3 wins
Kimi K2 Thinking wins 3 of 6 signals

Score History

Score History (24 data points)
Kimi K2 0711Kimi K2 Thinking
Kimi K2 0711

51.4

current score

Leader

Kimi K2 Thinking

right now

Kimi K2 Thinking

53.3

current score

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

Kimi K2 0711

Moonshot AI

Best Value
Per request$0.001720
Daily$5.73
Monthly$172.00
Annual$2064.00

Kimi K2 Thinking

Moonshot AI

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

Kimi K2 0711 saves you $13.00/month

That's $156.00/year compared to Kimi K2 Thinking at your current usage level of 100K calls/month.

7% cheaper
Choose Kimi K2 0711 for cost optimization

Kimi K2 0711 pricing:
Input:$0.57/M tokens
Output:$2.30/M tokens
Kimi K2 Thinking pricing:
Input:$0.60/M tokens
Output:$2.50/M tokens
Kimi K2 0711

Moonshot AI

51

Composite Score

Winner
Kimi K2 Thinking

Moonshot AI

53

Composite Score

Signal-by-Signal Comparison
MetricKimi K2 0711Kimi K2 ThinkingWinner
Overall Score
51
53
Kimi K2 Thinking
Rank#171#169
Kimi K2 Thinking
Quality Rank#171#169
Kimi K2 Thinking
Adoption Rank#171#169
Kimi K2 Thinking
Parameters------
Context Window131K262K
Kimi K2 Thinking
Pricing$0.57/$2.30/M$0.60/$2.50/M--
Signal Scores
Capabilities
33
67
Kimi K2 Thinking
Benchmarks
51
51
Kimi K2 0711
Pricing
98
98
Kimi K2 0711
Context window size
81
86
Kimi K2 Thinking
Recency
63
85
Kimi K2 Thinking
Output Capacity
83
83
Kimi K2 0711
Benchmark Head-to-Head(1 benchmarks)
Kimi K2: 01 tiesKimi K2: 0
Kimi K2
Kimi K2
Normalized 0-100%
SWE-bench Verified
63.4%63.4%
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.

Kimi K2 0711Competitive

Scores 51/100 (rank #171), placing it in the top 41% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Kimi K2 ThinkingCompetitive

Scores 53/100 (rank #169), placing it in the top 42% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 2-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 Kimi K2 0711 when you need:

  • Self-hosted deployments where you need full control over the model

Choose Kimi K2 Thinking when you need:

  • Processing long documents or large codebases (262K token context)
  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
Kimi K2 0711Best Value
Input cost$0.57/M tokens
Output cost$2.30/M tokens
Cost per quality point$0.056
Est. monthly (1M tokens/day)$43.05
Kimi K2 Thinking
Input cost$0.60/M tokens
Output cost$2.50/M tokens
Cost per quality point$0.058
Est. monthly (1M tokens/day)$46.50

Kimi K2 0711 offers 7% better value per quality point. At 1M tokens/day, you'd spend $43.05/month with Kimi K2 0711 vs $46.50/month with Kimi K2 Thinking - a $3.45 monthly difference.

Latency & Speed
Kimi K2 0711Faster
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

Kimi K2 0711

Customer support chatbot

Suitable for user-facing chat with competitive response times. Kimi K2 0711 also offers lower per-token costs for high-volume support

Kimi K2 0711

Long document analysis

Larger context window (262K tokens) can process longer documents, contracts, and research papers in a single pass

Kimi K2 Thinking

Batch data extraction

Lower output pricing ($2.30/M) reduces costs when processing thousands of records daily

Kimi K2 0711

Creative writing & content

Higher overall composite score (53/100) correlates with better nuance, coherence, and style in long-form content

Kimi K2 Thinking
Which Should You Choose?
Our recommendation:
Kimi K2 Thinking

Kimi K2 0711 and Kimi K2 Thinking are extremely close in overall performance (only 1.8999999999999986 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

by Moonshot AI

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 7% 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 Thinking
Recommended

by Moonshot AI

Consider for specialized use cases.

Capability Comparison
CapabilityKimi K2 0711Kimi K2 Thinking
Vision (Image Input)
Function Calling
Streaming
JSON Modediffers
Reasoningdiffers
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Kimi K2 0711

Moonshot AI

Best Value
$3.79
estimated monthly cost

Kimi K2 Thinking

Moonshot AI

$4.08
estimated monthly cost

Kimi K2 0711 saves you $0.2940/month

That's 7% 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
ParameterKimi K2 0711Kimi K2 Thinking
Context Window131K262K
Max Output Tokens100,352100,352
Open SourceYesYes
CreatedJul 11, 2025Nov 6, 2025
Last updated: 7m ago

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Kimi K2 0711 vs Kimi K2 Thinking (2026) | LM Market Cap