GPT-5.6 Luna vs DeepSeek V4 Pro
Side-by-side comparison of API pricing, specs, benchmarks, and capabilities
| Specification |
by OpenAI
|
by DeepSeek
3 providers:
DeepSeek $0.435/$0.870
Fireworks $1.74/$3.48
Together $1.74/$3.48
|
|---|---|---|
| Overview | ||
| Status | Current mid tier | Current mid tier |
| Released | Jul 9, 2026 | Apr 24, 2026 |
| Pricing per million tokens | ||
| Input | $0.200/Mtok | $0.435/Mtok |
| Output | $1.20/Mtok | $0.870/Mtok |
| Blended avg | $0.450/Mtok | $0.544/Mtok |
| Cached input | $0.020/Mtok | $0.004/Mtok |
| Specifications | ||
| Context window | 1M tokens | 1M tokens |
| Parameters | Proprietary | Proprietary |
| Speed (TPS) | — | — |
| Modalities | ||
| Input |
textimage
|
text
|
| Benchmarks source: Vellum LLM Leaderboard | ||
| Avg benchmark score | 90.7 | 71.5 |
| Perf / dollar | 201.6 | 132.4 |
| GPQA Diamond | 92.3 | 90.1 |
| SWE-Bench Verified | 93 | 50 |
| HumanEval | 93 | 80.6 |
| Terminal-Bench 2.1 | 84.3 | — |
| LiveCodeBench | — | 93.5 |
| MCP Atlas | — | 73.6 |
| BrowseComp | — | 83.4 |
| Humanity's Last Exam | — | 48.2 |
| ARC-AGI 2 | — | 30 |
| AIME 2025 | — | 75 |
| MMMLU | — | 82 |
| BFCL | — | 72 |
| MATH 500 | — | 80 |
| Independent composite scores each on its own scale — not part of the average above | ||
| AA Intelligence Index | 51.2 | 44.3 |
| AA Agentic Index | 45.6 | 36.4 |
| AA-Omniscience Index (−100–100) | -11.2 | -10 |
| GDPval-AA v2 | 1581.9 ELO | 1304.5 ELO |
| LMSYS Chatbot Arena | — | 1457.9 ELO |
| Providers | ||
| Available from |
OpenAI — $0.200/$1.20/Mtok
|
DeepSeek — $0.435/$0.870/Mtok
Fireworks — $1.74/$3.48/Mtok
Together — $1.74/$3.48/Mtok
|
Cost at scale
1M tokens · 50/50 input/output| Volume | GPT-5.6 Luna | DeepSeek V4 Pro | Savings |
|---|---|---|---|
| 1M tokens | $0.45 | $0.54 | $0.09 (16.6%) |
| 10M tokens | $4.5 | $5.44 | $0.94 (17.3%) |
| 100M tokens | $45 | $54.37 | $9.37 (17.2%) |
| 1000M tokens | $450 | $543.75 | $93.75 (17.2%) |
When to pick which
distilled from the pricing and spec data above- cost dominates: $0.450/Mtok blended vs $0.544 — 17.2% less on the same 50/50 token mix
- raw capability matters more than price: 90.7 vs 71.5 average benchmark score
- your workload re-reads context (agents, RAG, long chats): cached input costs $0.004/Mtok — 99% off its list input price
- provider flexibility: available from 3 providers, so you can price-shop hosts or fail over
Price movement
recorded changes since we began tracking each model · last checked Aug 1, 2026| Model | Changes | Latest move | Old → new $/M |
|---|---|---|---|
| GPT-5.6 Luna | 1 | price cut on Aug 1, 2026 | $1/$6 → $0.2/$1.2/Mtok |
| DeepSeek V4 Pro | 0 | — no move | Stable since we began tracking — no change recorded |
The cheaper option here — GPT-5.6 Luna costs $0.450/Mtok blended on OpenAI.
Summary
GPT-5.6 Luna by OpenAI costs $0.200/Mtok input and $1.20/Mtok output, with a 1M-token context window. It supports text, image input.
DeepSeek V4 Pro by DeepSeek costs $0.435/Mtok input and $0.870/Mtok output, with a 1M-token context window. It supports text input and is available from 3 providers.
On a blended cost basis, GPT-5.6 Luna is 17.2% cheaper than DeepSeek V4 Pro.It also has a larger context window.
On benchmarks, GPT-5.6 Luna scores higher (90.7 vs 71.5) on average. In terms of value, GPT-5.6 Luna has better performance per dollar (201.6 vs 132.4).
Note: Pricing is per million tokens. Actual costs vary with usage patterns, prompt caching, and batch discounts. Always verify against official provider pricing pages.