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Claude Sonnet 4.5 vs DeepSeek V3.2

Claude Sonnet 4.5

Anthropic

82#71
vs
DeepSeek V3.2

DeepSeek

83#70
Signal-by-Signal Comparison
SignalClaude Sonnet 4.5DeltaDeepSeek V3.2
Capabilities
100
+33
67
Benchmarks
82
-5
87
Pricing
85
-15
100
Context window size
95
+12
83
Recency
71
-11
83
Output Capacity
77
0
77
Overall Result
2 wins
of 6
4 wins
DeepSeek V3.2 wins 4 of 6 signals

Score History

Score History (29 data points)
Claude Sonnet 4.5DeepSeek V3.2
Claude Sonnet 4.5

82.4

current score

Leader

DeepSeek V3.2

right now

DeepSeek V3.2

83.4

current score

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

Claude Sonnet 4.5

Anthropic

Per request$0.010500
Daily$35.00
Monthly$1050.00
Annual$12600.00

DeepSeek V3.2

DeepSeek

Best Value
Per request$0.000469
Daily$1.56
Monthly$46.90
Annual$562.80

DeepSeek V3.2 saves you $1003.10/month

That's $12037.20/year compared to Claude Sonnet 4.5 at your current usage level of 100K calls/month.

96% cheaper
Choose DeepSeek V3.2 for cost optimization

Claude Sonnet 4.5 pricing:
Input:$3.00/M tokens
Output:$15.00/M tokens
DeepSeek V3.2 pricing:
Input:$0.27/M tokens
Output:$0.40/M tokens
Claude Sonnet 4.5

Anthropic

82

Composite Score

Winner
DeepSeek V3.2

DeepSeek

83

Composite Score

Signal-by-Signal Comparison
MetricClaude Sonnet 4.5DeepSeek V3.2Winner
Overall Score
82
83
DeepSeek V3.2
Rank#71#70
DeepSeek V3.2
Quality Rank#71#70
DeepSeek V3.2
Adoption Rank#71#70
DeepSeek V3.2
Parameters------
Context Window1000K164K
Claude Sonnet 4.5
Pricing$3.00/$15.00/M$0.27/$0.40/M--
Signal Scores
Capabilities
100
67
Claude Sonnet 4.5
Benchmarks
82
87
DeepSeek V3.2
Pricing
85
100
DeepSeek V3.2
Context window size
95
83
Claude Sonnet 4.5
Recency
71
83
DeepSeek V3.2
Output Capacity
77
77
DeepSeek V3.2
Benchmark Head-to-Head(12 benchmarks)
Claude Sonnet: 2DeepSeek V3.2: 2
Claude Sonnet
DeepSeek V3.2
Normalized 0-100%
MMLU
90.8%88.5%
MMLU-Pro
76.5%85%
GPQA Diamond
83.4%85.7%
MATH-500
83%-
HumanEval
94.5%-
SWE-bench Verified
77.2%-
AIME 2024
60%-
IFEval
90.2%-
BBH
88.5%-
Arena Elo
14521425
LiveBench
70.5%-
HLE
13.72%-
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.

Claude Sonnet 4.5Strong Performer

Scores 82/100 (rank #71), placing it in the top 76% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
DeepSeek V3.2Strong Performer

Scores 83/100 (rank #70), placing it in the top 76% 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 Claude Sonnet 4.5 when you need:

  • Processing long documents or large codebases (1000K token context)
  • Multimodal workflows that require image understanding
  • Step-by-step reasoning and chain-of-thought problem solving

Choose DeepSeek V3.2 when you need:

  • High-volume production workloads where API costs must be minimized
  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
Claude Sonnet 4.5
Input cost$3.00/M tokens
Output cost$15.00/M tokens
Cost per quality point$0.218
Est. monthly (1M tokens/day)$270.00
DeepSeek V3.2Best Value
Input cost$0.27/M tokens
Output cost$0.40/M tokens
Cost per quality point$0.008
Est. monthly (1M tokens/day)$10.03

DeepSeek V3.2 offers 96% better value per quality point. At 1M tokens/day, you'd spend $10.03/month with DeepSeek V3.2 vs $270.00/month with Claude Sonnet 4.5 - a $259.96 monthly difference.

Latency & Speed
Claude Sonnet 4.5Faster
Speed score0/100
DeepSeek V3.2
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

Claude Sonnet 4.5

Customer support chatbot

Suitable for user-facing chat with competitive response times. DeepSeek V3.2 also offers lower per-token costs for high-volume support

Claude Sonnet 4.5

Long document analysis

Larger context window (1000K tokens) can process longer documents, contracts, and research papers in a single pass

Claude Sonnet 4.5

Batch data extraction

Lower output pricing ($0.40/M) reduces costs when processing thousands of records daily

DeepSeek V3.2

Creative writing & content

Higher overall composite score (83/100) correlates with better nuance, coherence, and style in long-form content

DeepSeek V3.2

Image understanding & OCR

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

Claude Sonnet 4.5
Which Should You Choose?
Our recommendation:
DeepSeek V3.2

Claude Sonnet 4.5 and DeepSeek V3.2 are extremely close in overall performance (only 1 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

by Anthropic

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • 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
DeepSeek V3.2
Recommended

by DeepSeek

  • Choose for Cost - 96% lower pricing; better value at scale
Capability Comparison
CapabilityClaude Sonnet 4.5DeepSeek V3.2
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)

Claude Sonnet 4.5

Anthropic

$23.40
estimated monthly cost

DeepSeek V3.2

DeepSeek

Best Value
$0.9642
estimated monthly cost

DeepSeek V3.2 saves you $22.44/month

That's 96% cheaper than Claude Sonnet 4.5 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
ParameterClaude Sonnet 4.5DeepSeek V3.2
Context Window1M164K
Max Output Tokens64,00065,536
Open SourceNoYes
CreatedSep 29, 2025Dec 1, 2025
Last updated: 53m ago

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