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DeepSeek V3 vs Kimi K2 0905

DeepSeek V3

DeepSeek

70#116
vs
Kimi K2 0905

Moonshot AI

52#170
Signal-by-Signal Comparison
SignalDeepSeek V3DeltaKimi K2 0905
Capabilities
50
--
50
Benchmarks
70
+19
51
Pricing
99
+2
98
Context window size
83
-3
86
Recency
28
-46
73
Output Capacity
70
-13
83
Overall Result
2 wins
of 6
3 wins
Kimi K2 0905 wins 3 of 6 signals

Score History

Score History (24 data points)
DeepSeek V3Kimi K2 0905
DeepSeek V3

69.5

current score

Leader

DeepSeek V3

right now

Kimi K2 0905

52.4

current score

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

DeepSeek V3

DeepSeek

Best Value
Per request$0.000600
Daily$2.00
Monthly$60.02
Annual$720.30

Kimi K2 0905

Moonshot AI

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

DeepSeek V3 saves you $124.97/month

That's $1499.70/year compared to Kimi K2 0905 at your current usage level of 100K calls/month.

68% cheaper
Choose DeepSeek V3 for cost optimization

DeepSeek V3 pricing:
Input:$0.20/M tokens
Output:$0.80/M tokens
Kimi K2 0905 pricing:
Input:$0.60/M tokens
Output:$2.50/M tokens
Winner
DeepSeek V3

DeepSeek

70

Composite Score

Kimi K2 0905

Moonshot AI

52

Composite Score

Signal-by-Signal Comparison
MetricDeepSeek V3Kimi K2 0905Winner
Overall Score
70
52
DeepSeek V3
Rank#116#170
DeepSeek V3
Quality Rank#116#170
DeepSeek V3
Adoption Rank#116#170
DeepSeek V3
Parameters------
Context Window164K262K
Kimi K2 0905
Pricing$0.20/$0.80/M$0.60/$2.50/M--
Signal Scores
Capabilities
50
50
DeepSeek V3
Benchmarks
70
51
DeepSeek V3
Pricing
99
98
DeepSeek V3
Context window size
83
86
Kimi K2 0905
Recency
28
73
Kimi K2 0905
Output Capacity
70
83
Kimi K2 0905
Benchmark Head-to-Head(13 benchmarks)
DeepSeek V3: 0Kimi K2: 1
DeepSeek V3
Kimi K2
Normalized 0-100%
MMLU
88.5%-
MMLU-Pro
75.9%-
GPQA Diamond
59.1%-
MATH-500
90.2%-
HumanEval
82.6%-
SWE-bench Verified
42%63.4%
AIME 2024
39.2%-
GSM8K
96.7%-
IFEval
87.1%-
BBH
87.5%-
Arena Elo
1318-
LiveBench
60.4%-
BigCodeBench
50%-
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.

DeepSeek V3Competitive

Scores 70/100 (rank #116), placing it in the top 60% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Kimi K2 0905Competitive

Scores 52/100 (rank #170), placing it in the top 42% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

DeepSeek V3 has a 17-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose DeepSeek V3 when you need:

  • High-volume production workloads where API costs must be minimized
  • Self-hosted deployments where you need full control over the model

Choose Kimi K2 0905 when you need:

  • Processing long documents or large codebases (262K token context)
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
DeepSeek V3Best Value
Input cost$0.20/M tokens
Output cost$0.80/M tokens
Cost per quality point$0.014
Est. monthly (1M tokens/day)$15.00
Kimi K2 0905
Input cost$0.60/M tokens
Output cost$2.50/M tokens
Cost per quality point$0.059
Est. monthly (1M tokens/day)$46.50

DeepSeek V3 offers 68% better value per quality point. At 1M tokens/day, you'd spend $15.00/month with DeepSeek V3 vs $46.50/month with Kimi K2 0905 - a $31.50 monthly difference.

Latency & Speed
DeepSeek V3Faster
Speed score0/100
Kimi K2 0905
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

DeepSeek V3

Customer support chatbot

Suitable for user-facing chat with competitive response times. DeepSeek V3 also offers lower per-token costs for high-volume support

DeepSeek V3

Long document analysis

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

Kimi K2 0905

Batch data extraction

Lower output pricing ($0.80/M) reduces costs when processing thousands of records daily

DeepSeek V3

Creative writing & content

Higher overall composite score (70/100) correlates with better nuance, coherence, and style in long-form content

DeepSeek V3
Which Should You Choose?
Our recommendation:
DeepSeek V3

DeepSeek V3 clearly outperforms Kimi K2 0905 with a significant 17.1-point lead. For most general use cases, DeepSeek V3 is the stronger choice. However, Kimi K2 0905 may still excel in niche scenarios.

DeepSeek V3
Recommended

by DeepSeek

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 68% 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
CapabilityDeepSeek V3Kimi K2 0905
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)

DeepSeek V3

DeepSeek

Best Value
$1.32
estimated monthly cost

Kimi K2 0905

Moonshot AI

$4.08
estimated monthly cost

DeepSeek V3 saves you $2.76/month

That's 68% cheaper than Kimi K2 0905 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
ParameterDeepSeek V3Kimi K2 0905
Context Window164K262K
Max Output Tokens16,000100,352
Open SourceYesYes
CreatedDec 26, 2024Sep 4, 2025
Last updated: 59m ago

相关对比

DeepSeek V3 vs Kimi K2 0905 (2026) | LM Market Cap