| Signal | Claude 3.5 Sonnet | Delta | DeepSeek V3.1 |
|---|---|---|---|
Capabilities | 50 | -17 | |
Benchmarks | 72 | +3 | |
Pricing | 70 | -29 | |
Context window size | 84 | +12 | |
Recency | 36 | -55 | |
Output Capacity | 65 | +1 | |
| Overall Result | 3 wins | of 6 | 3 wins |
Score History
69.4
current score
Claude 3.5 Sonnet
right now
69.1
current score
Anthropic
DeepSeek
DeepSeek V3.1 saves you $2047.50/month
That's $24570.00/year compared to Claude 3.5 Sonnet at your current usage level of 100K calls/month.
| Metric | Claude 3.5 Sonnet | DeepSeek V3.1 | Winner |
|---|---|---|---|
| Overall Score | 69 | 69 | Claude 3.5 Sonnet |
| Rank | #59 | #61 | Claude 3.5 Sonnet |
| Quality Rank | #59 | #61 | Claude 3.5 Sonnet |
| Adoption Rank | #59 | #61 | Claude 3.5 Sonnet |
| Parameters | -- | -- | -- |
| Context Window | 200K | 33K | Claude 3.5 Sonnet |
| Pricing | $6.00/$30.00/M | $0.15/$0.75/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 67 | DeepSeek V3.1 |
| Benchmarks | 72 | 69 | Claude 3.5 Sonnet |
| Pricing | 70 | 99 | DeepSeek V3.1 |
| Context window size | 84 | 72 | Claude 3.5 Sonnet |
| Recency | 36 | 92 | DeepSeek V3.1 |
| Output Capacity | 65 | 64 | Claude 3.5 Sonnet |
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.
Scores 69/100 (rank #59), placing it in the top 80% of all 290 models tracked.
Scores 69/100 (rank #61), placing it in the top 79% of all 290 models tracked.
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.
DeepSeek V3.1 offers 98% better value per quality point. At 1M tokens/day, you'd spend $13.50/month with DeepSeek V3.1 vs $540.00/month with Claude 3.5 Sonnet - a $526.50 monthly difference.
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.
Code generation & review
Higher benchmark score (0/100) indicates stronger performance on coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Faster response time (speed score 0/100) is critical for user-facing chat. DeepSeek V3.1 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (200K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.75/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (69/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
Claude 3.5 Sonnet and DeepSeek V3.1 are extremely close in overall performance (only 0.30000000000001137 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Claude 3.5 Sonnet
Marginally better benchmark scores; both are excellent
Best for Cost
DeepSeek V3.1
98% lower pricing; better value at scale
Best for Reliability
Claude 3.5 Sonnet
Higher uptime and faster response speeds
Best for Prototyping
Claude 3.5 Sonnet
Stronger community support and better developer experience
Best for Production
Claude 3.5 Sonnet
Wider enterprise adoption and proven at scale
by Anthropic
| Capability | Claude 3.5 Sonnet | DeepSeek V3.1 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Anthropic
DeepSeek
DeepSeek V3.1 saves you $45.63/month
That's 98% cheaper than Claude 3.5 Sonnet 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.
| Parameter | Claude 3.5 Sonnet | DeepSeek V3.1 |
|---|---|---|
| Context Window | 200K | 33K |
| Max Output Tokens | 8,192 | 7,168 |
| Open Source | No | Yes |
| Created | Oct 22, 2024 | Aug 21, 2025 |
Claude 3.5 Sonnet scores 69/100 (rank #59) compared to DeepSeek V3.1's 69/100 (rank #61), giving it a 0-point advantage. Claude 3.5 Sonnet is the stronger overall choice, though DeepSeek V3.1 may excel in specific areas like cost efficiency.
Claude 3.5 Sonnet is ranked #59 and DeepSeek V3.1 is ranked #61 out of 290+ AI models. Rankings use a composite score combining benchmark performance (90%) from MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations, with capabilities and context window as tiebreakers (10%). Scores update hourly.
DeepSeek V3.1 is cheaper at $0.75/M output tokens vs Claude 3.5 Sonnet's $30.00/M output tokens - 40.0x more expensive. Input token pricing: Claude 3.5 Sonnet at $6.00/M vs DeepSeek V3.1 at $0.15/M.
Claude 3.5 Sonnet has a larger context window of 200,000 tokens compared to DeepSeek V3.1's 32,768 tokens. A larger context window means the model can process longer documents and conversations.