DeepSeek-V4-Flash vs GPT-5.6 Luna
Pricing & Specs
DeepSeek vs OpenAI, side by side from a live registry. Specs below, then benchmark both on your own task.
TL;DR: On a typical task (1K input + 500 output tokens), GPT-5.6 Luna is about 1.4x cheaper than DeepSeek-V4-Flash. But per-token price is not cost per result: a cheaper model that needs more tokens, retries, or hand-holding can end up more expensive on your workload. The specs below are facts; which one is better at YOUR task is measurable, not guessable.
API Pricing: DeepSeek-V4-Flash vs GPT-5.6 Luna
| Tokens | DeepSeek-V4-Flash | GPT-5.6 Luna |
|---|---|---|
| Input | $0.44 / 1M | $0.2 / 1M |
| Output | $1.32 / 1M | $1.2 / 1M |
| Cached input | $0.014 / 1M | $0.02 / 1M |
What that means in practice (1K input + 500 output tokens)
Specs Compared
| Spec | DeepSeek-V4-Flash | GPT-5.6 Luna |
|---|---|---|
| Context window | 1M tokens | 1.05M tokens |
| Max output tokens | 384K tokens | 128K tokens |
| Input modalities | text | text, image |
| Knowledge cutoff | - | February 16, 2026 |
| Latency (measured) | - | - |
| Reasoning model | Yes | Yes |
| Tool / function calling | Yes | Yes |
| JSON mode | Yes | Yes |
| Prompt caching | Yes | Yes |
When to Choose Which
FAQ
Which is cheaper, DeepSeek-V4-Flash or GPT-5.6 Luna?
DeepSeek-V4-Flash costs $0.44/$1.32 per 1M input/output tokens; GPT-5.6 Luna costs $0.2/$1.2. On a typical task (1K input + 500 output tokens), GPT-5.6 Luna is about 1.4x cheaper than DeepSeek-V4-Flash.
Which has the bigger context window, DeepSeek-V4-Flash or GPT-5.6 Luna?
DeepSeek-V4-Flash has a 1M-token context window; GPT-5.6 Luna has 1.05M tokens.
Is DeepSeek-V4-Flash better than GPT-5.6 Luna?
It depends on the task. Generic leaderboards won't tell you which one wins on YOUR workload. OpenMark lets you benchmark DeepSeek-V4-Flash and GPT-5.6 Luna head to head on your own task with real API calls, no API keys needed, free tier available.
DeepSeek-V4-Flash or GPT-5.6 Luna for YOUR Task?
Spec tables can't answer that. Run both head to head on your actual workload:
real API calls, ranked results with accuracy, cost, and latency. Free tier available.