| Signal | DeepSeek V3 | Delta | Gemma 4 31B |
|---|---|---|---|
Capabilities | 50 | -33 | |
Benchmarks | 70 | -16 | |
Pricing | 99 | 0 | |
Context window size | 83 | -3 | |
Recency | 42 | -58 | |
Output Capacity | 70 | -- | |
| Overall Result | 0 wins | of 6 | 5 wins |
Score History
69.5
current score
Gemma 4 31B
right now
80.5
current score
DeepSeek
Gemma 4 31B saves you $44.50/month
That's $534.00/year compared to DeepSeek V3 at your current usage level of 100K calls/month.
| Metric | DeepSeek V3 | Gemma 4 31B | Winner |
|---|---|---|---|
| Overall Score | 70 | 81 | Gemma 4 31B |
| Rank | #102 | #37 | Gemma 4 31B |
| Quality Rank | #102 | #37 | Gemma 4 31B |
| Adoption Rank | #102 | #37 | Gemma 4 31B |
| Parameters | -- | 31B | -- |
| Context Window | 164K | 262K | Gemma 4 31B |
| Pricing | $0.32/$0.89/M | $0.13/$0.38/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 83 | Gemma 4 31B |
| Benchmarks | 70 | 86 | Gemma 4 31B |
| Pricing | 99 | 100 | Gemma 4 31B |
| Context window size | 83 | 86 | Gemma 4 31B |
| Recency | 42 | 100 | Gemma 4 31B |
| Output Capacity | 70 | 70 | DeepSeek V3 |
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 70/100 (rank #102), placing it in the top 65% of all 290 models tracked.
Scores 81/100 (rank #37), placing it in the top 88% of all 290 models tracked.
Gemma 4 31B has a 11-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Gemma 4 31B offers 58% better value per quality point. At 1M tokens/day, you'd spend $7.65/month with Gemma 4 31B vs $18.15/month with DeepSeek V3 - a $10.50 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
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. Gemma 4 31B also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (262K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.38/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (81/100) 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
Gemma 4 31B clearly outperforms DeepSeek V3 with a significant 11-point lead. For most general use cases, Gemma 4 31B is the stronger choice. However, DeepSeek V3 may still excel in niche scenarios.
Best for Quality
DeepSeek V3
Marginally better benchmark scores; both are excellent
Best for Cost
Gemma 4 31B
58% lower pricing; better value at scale
Best for Reliability
DeepSeek V3
Higher uptime and faster response speeds
Best for Prototyping
DeepSeek V3
Stronger community support and better developer experience
Best for Production
DeepSeek V3
Wider enterprise adoption and proven at scale
by DeepSeek
| Capability | DeepSeek V3 | Gemma 4 31B |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
DeepSeek
Gemma 4 31B saves you $0.9540/month
That's 58% cheaper than DeepSeek V3 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 | Gemma 4 31B |
|---|---|---|
| Context Window | 164K | 262K |
| Max Output Tokens | 16,384 | 16,384 |
| Open Source | Yes | Yes |
| Created | Dec 26, 2024 | Apr 2, 2026 |