DeepSeek V3.2 Exp vs Gemini 3.1 Pro Preview (batch)
| Signal | DeepSeek V3.2 Exp | Delta | Gemini 3.1 Pro Preview (batch) |
|---|---|---|---|
Capabilities | 67 | -33 | |
Pricing | 100 | +6 | |
Context window size | 83 | -13 | |
Recency | 59 | -26 | |
Output Capacity | 83 | +6 | |
Benchmarks | 0 | -91 | |
| Overall Result | 2 wins | of 6 | 4 wins |
Score History
71.8
current score
Gemini 3.1 Pro Preview (batch)
right now
92.2
current score
DeepSeek V3.2 Exp
DeepSeek
Gemini 3.1 Pro Preview (batch)
DeepSeek V3.2 Exp saves you $352.50/month
That's $4230.00/year compared to Gemini 3.1 Pro Preview (batch) at your current usage level of 100K calls/month.
| Metric | DeepSeek V3.2 Exp | Gemini 3.1 Pro Preview (batch) | Winner |
|---|---|---|---|
| Overall Score | 72 | 92 | Gemini 3.1 Pro Preview (batch) |
| Rank | #105 | #14 | Gemini 3.1 Pro Preview (batch) |
| Quality Rank | #105 | #14 | Gemini 3.1 Pro Preview (batch) |
| Adoption Rank | #105 | #14 | Gemini 3.1 Pro Preview (batch) |
| Parameters | -- | -- | -- |
| Context Window | 164K | 1049K | Gemini 3.1 Pro Preview (batch) |
| Pricing | $0.27/$0.41/M | $1.00/$6.00/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 100 | Gemini 3.1 Pro Preview (batch) |
| Pricing | 100 | 94 | DeepSeek V3.2 Exp |
| Context window size | 83 | 96 | Gemini 3.1 Pro Preview (batch) |
| Recency | 59 | 85 | Gemini 3.1 Pro Preview (batch) |
| Output Capacity | 83 | 77 | DeepSeek V3.2 Exp |
| Benchmarks | -- | 92 | Gemini 3.1 Pro Preview (batch) |
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 72/100 (rank #105), placing it in the top 64% of all 290 models tracked.
Scores 92/100 (rank #14), placing it in the top 96% of all 290 models tracked.
Gemini 3.1 Pro Preview (batch) has a 20-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Choose DeepSeek V3.2 Exp 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
Choose Gemini 3.1 Pro Preview (batch) when you need:
- Processing long documents or large codebases (1049K token context)
- Multimodal workflows that require image understanding
- Step-by-step reasoning and chain-of-thought problem solving
DeepSeek V3.2 Exp offers 90% better value per quality point. At 1M tokens/day, you'd spend $10.20/month with DeepSeek V3.2 Exp vs $105.00/month with Gemini 3.1 Pro Preview (batch) - a $94.80 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
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. DeepSeek V3.2 Exp also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1049K 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 (92/100) 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
Gemini 3.1 Pro Preview (batch) clearly outperforms DeepSeek V3.2 Exp with a significant 20.400000000000006-point lead. For most general use cases, Gemini 3.1 Pro Preview (batch) is the stronger choice. However, DeepSeek V3.2 Exp may still excel in niche scenarios.
By Use Case
Best for Quality
DeepSeek V3.2 Exp
Marginally better benchmark scores; both are excellent
Best for Cost
DeepSeek V3.2 Exp
90% 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
- Choose for Quality - Marginally better benchmark scores; both are excellent
- Choose for Cost - 90% 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
| Capability | DeepSeek V3.2 Exp | Gemini 3.1 Pro Preview (batch) |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
DeepSeek V3.2 Exp
DeepSeek
Gemini 3.1 Pro Preview (batch)
DeepSeek V3.2 Exp saves you $8.02/month
That's 89% cheaper than Gemini 3.1 Pro Preview (batch) 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 | Gemini 3.1 Pro Preview (batch) |
|---|---|---|
| Context Window | 164K | 1.0M |
| Max Output Tokens | 147,456 | 65,536 |
| Open Source | Yes | No |
| Created | Sep 29, 2025 | Feb 19, 2026 |