DeepSeek V4 Flash 0731 vs GPT-5.6 Luna Pro (batch)
| Signal | DeepSeek V4 Flash 0731 | Delta | GPT-5.6 Luna Pro (batch) |
|---|---|---|---|
Capabilities | 67 | -33 | |
Pricing | 100 | +1 | |
Context window size | 97 | +2 | |
Recency | 100 | -- | |
Output Capacity | 96 | +14 | |
Benchmarks | 0 | -88 | |
| Overall Result | 3 wins | of 6 | 2 wins |
Score History
40
current score
GPT-5.6 Luna Pro (batch)
right now
89
current score
DeepSeek V4 Flash 0731
DeepSeek
GPT-5.6 Luna Pro (batch)
OpenAI
DeepSeek V4 Flash 0731 saves you $28.00/month
That's $336.00/year compared to GPT-5.6 Luna Pro (batch) at your current usage level of 100K calls/month.
| Metric | DeepSeek V4 Flash 0731 | GPT-5.6 Luna Pro (batch) | Winner |
|---|---|---|---|
| Overall Score | 40 | 89 | GPT-5.6 Luna Pro (batch) |
| Rank | #280 | #31 | GPT-5.6 Luna Pro (batch) |
| Quality Rank | #280 | #31 | GPT-5.6 Luna Pro (batch) |
| Adoption Rank | #280 | #31 | GPT-5.6 Luna Pro (batch) |
| Parameters | -- | -- | -- |
| Context Window | 1311K | 1050K | DeepSeek V4 Flash 0731 |
| Pricing | $0.06/$0.12/M | $0.10/$0.60/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 100 | GPT-5.6 Luna Pro (batch) |
| Pricing | 100 | 99 | DeepSeek V4 Flash 0731 |
| Context window size | 97 | 96 | DeepSeek V4 Flash 0731 |
| Recency | 100 | 100 | DeepSeek V4 Flash 0731 |
| Output Capacity | 96 | 82 | DeepSeek V4 Flash 0731 |
| Benchmarks | -- | 88 | GPT-5.6 Luna Pro (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 40/100 (rank #280), placing it in the top 4% of all 290 models tracked.
Scores 89/100 (rank #31), placing it in the top 90% of all 290 models tracked.
GPT-5.6 Luna Pro (batch) has a 49-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Choose DeepSeek V4 Flash 0731 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 GPT-5.6 Luna Pro (batch) when you need:
- Multimodal workflows that require image understanding
- Step-by-step reasoning and chain-of-thought problem solving
DeepSeek V4 Flash 0731 offers 74% better value per quality point. At 1M tokens/day, you'd spend $2.70/month with DeepSeek V4 Flash 0731 vs $10.50/month with GPT-5.6 Luna Pro (batch) - a $7.80 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 V4 Flash 0731 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1311K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.12/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (89/100) 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-5.6 Luna Pro (batch) clearly outperforms DeepSeek V4 Flash 0731 with a significant 49-point lead. For most general use cases, GPT-5.6 Luna Pro (batch) is the stronger choice. However, DeepSeek V4 Flash 0731 may still excel in niche scenarios.
By Use Case
Best for Quality
DeepSeek V4 Flash 0731
Marginally better benchmark scores; both are excellent
Best for Cost
DeepSeek V4 Flash 0731
74% lower pricing; better value at scale
Best for Reliability
DeepSeek V4 Flash 0731
Higher uptime and faster response speeds
Best for Prototyping
DeepSeek V4 Flash 0731
Stronger community support and better developer experience
Best for Production
DeepSeek V4 Flash 0731
Wider enterprise adoption and proven at scale
by DeepSeek
- Choose for Quality - Marginally better benchmark scores; both are excellent
- Choose for Cost - 74% 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 V4 Flash 0731 | GPT-5.6 Luna Pro (batch) |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
DeepSeek V4 Flash 0731
DeepSeek
GPT-5.6 Luna Pro (batch)
OpenAI
DeepSeek V4 Flash 0731 saves you $0.6480/month
That's 72% cheaper than GPT-5.6 Luna Pro (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 V4 Flash 0731 | GPT-5.6 Luna Pro (batch) |
|---|---|---|
| Context Window | 1.3M | 1.1M |
| Max Output Tokens | 943,718 | 128,000 |
| Open Source | Yes | No |
| Created | Jul 31, 2026 | Jul 9, 2026 |