| Signal | DeepSeek V3.2 Exp | Delta | GPT-4.1 |
|---|---|---|---|
Capabilities | 67 | -17 | |
Benchmarks | 70 | -5 | |
Pricing | 0 | -8 | |
Context window size | 83 | -13 | |
Recency | 99 | +31 | |
Output Capacity | 80 | +5 | |
| Overall Result | 2 wins | of 6 | 4 wins |
0
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DeepSeek
OpenAI
DeepSeek V3.2 Exp saves you $552.50/month
That's $6630.00/year compared to GPT-4.1 at your current usage level of 100K calls/month.
| Metric | DeepSeek V3.2 Exp | GPT-4.1 | Winner |
|---|---|---|---|
| Overall Score | 70 | 76 | GPT-4.1 |
| Rank | #59 | #42 | GPT-4.1 |
| Quality Rank | #59 | #42 | GPT-4.1 |
| Adoption Rank | #59 | #42 | GPT-4.1 |
| Parameters | -- | -- | -- |
| Context Window | 164K | 1048K | GPT-4.1 |
| Pricing | $0.27/$0.41/M | $2.00/$8.00/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 83 | GPT-4.1 |
| Benchmarks | 70 | 75 | GPT-4.1 |
| Pricing | 0 | 8 | GPT-4.1 |
| Context window size | 83 | 96 | GPT-4.1 |
| Recency | 99 | 69 | DeepSeek V3.2 Exp |
| Output Capacity | 80 | 75 | DeepSeek V3.2 Exp |
Our score (0-100) is driven by benchmark performance (90%) from LMArena Elo, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Here's what the scores mean for these two models:
Scores 70/100 (rank #59), placing it in the top 80% of all 290 models tracked.
Scores 76/100 (rank #42), placing it in the top 86% of all 290 models tracked.
GPT-4.1 has a 6-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
DeepSeek V3.2 Exp offers 93% better value per quality point. At 1M tokens/day, you'd spend $10.20/month with DeepSeek V3.2 Exp vs $150.00/month with GPT-4.1 - a $139.80 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 V3.2 Exp also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1048K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.41/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (76/100) 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
GPT-4.1 has a moderate advantage with a 6.200000000000003-point lead in composite score. It wins on more signal dimensions, but DeepSeek V3.2 Exp has specific strengths that could make it the better choice for certain workflows.
Best for Quality
DeepSeek V3.2 Exp
Marginally better benchmark scores; both are excellent
Best for Cost
DeepSeek V3.2 Exp
93% lower pricing; better value at scale
Best for Reliability
DeepSeek V3.2 Exp
Higher uptime and faster response speeds
Best for Prototyping
DeepSeek V3.2 Exp
Stronger community support and better developer experience
Best for Production
DeepSeek V3.2 Exp
Wider enterprise adoption and proven at scale
by DeepSeek
| Capability | DeepSeek V3.2 Exp | GPT-4.1 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
DeepSeek
OpenAI
DeepSeek V3.2 Exp saves you $12.22/month
That's 93% cheaper than GPT-4.1 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 | DeepSeek V3.2 Exp | GPT-4.1 |
|---|---|---|
| Context Window | 164K | 1.0M |
| Max Output Tokens | 65,536 | 32,768 |
| Open Source | Yes | No |
| Created | Sep 29, 2025 | Apr 14, 2025 |
GPT-4.1 scores 76/100 (rank #42) compared to DeepSeek V3.2 Exp's 70/100 (rank #59), giving it a 6-point advantage. GPT-4.1 is the stronger overall choice, though DeepSeek V3.2 Exp may excel in specific areas like cost efficiency.
DeepSeek V3.2 Exp is ranked #59 and GPT-4.1 is ranked #42 out of 290+ AI models. Rankings use a composite score combining benchmark performance (90%) from LMArena, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations, with capabilities and context window as tiebreakers (10%). Scores update hourly.
DeepSeek V3.2 Exp is cheaper at $0.41/M output tokens vs GPT-4.1's $8.00/M output tokens - 19.5x more expensive. Input token pricing: DeepSeek V3.2 Exp at $0.27/M vs GPT-4.1 at $2.00/M.
GPT-4.1 has a larger context window of 1,047,576 tokens compared to DeepSeek V3.2 Exp's 163,840 tokens. A larger context window means the model can process longer documents and conversations.