GPT-6.1 Terra vs DeepSeek V4.1 Flash (1017)
DeepSeek V4.1 Flash (1017) is 3.8x cheaper than GPT-6.1 Terra on our example workload, at list prices.
Side by side
| GPT-6.1 Terra | DeepSeek V4.1 Flash (1017) | |
|---|---|---|
| Provider | OpenAI | DeepSeek |
| Input / 1M tokens | $1.00 | $0.300 |
| Output / 1M tokens | $5.00 | $1.20 |
| Output price ÷ input price | 5.0x | 4.0x |
| Blended / 1M (3:1) | $2.00 | $0.525 |
| Context window | 1.05M | 1M |
| ≈ English words that fit | 788,000 | 750,000 |
| 1,000 calls (2000+500 tok) | $4.50 | $1.20 |
| AA Intelligence Index | 51 | 33 |
| LMArena Text | n/a | 1476 |
| Blended $ per AA index point | $0.039 | $0.016 |
List prices from official pages (OpenAI, DeepSeek), verified 2026-11-04. Benchmarks from public leaderboards (Artificial Analysis, LMArena), not run by us. Word counts use the rough 0.75 words per token rule for English. "$ per index point" is our own arithmetic (blended price ÷ index score), a rough value-for-money signal, not a benchmark.
What real workloads cost
Four example request shapes, priced at list rates with no caching or batch discounts. Monthly figures assume 100,000 requests.
| Workload | GPT-6.1 Terra | DeepSeek V4.1 Flash (1017) | Gap |
|---|---|---|---|
| Support chat reply a short system prompt, recent chat history and a reply | $0.00450 each $450.00 / mo | $0.00120 each $120.00 / mo | 3.8x |
| RAG answer a question plus about 20K tokens of retrieved documents, and a cited answer | $0.0240 each $2,400.00 / mo | $0.00696 each $696.00 / mo | 3.4x |
| 10-step agent task an agent loop of 10 model calls, each re-reading about 8K tokens of context and emitting a 400-token tool call | $0.1000 each $10,000.00 / mo | $0.0288 each $2,880.00 / mo | 3.5x |
| Long-report summary one 200K-token document summarized into about 2K tokens | $0.2100 each $21,000.00 / mo | $0.0624 each $6,240.00 / mo | 3.4x |
When to pick each
- Pick DeepSeek V4.1 Flash (1017) when cost is the main constraint: at list prices it is 3.8x cheaper than GPT-6.1 Terra on a typical 2,000-in / 500-out call ($1.20 vs $4.50 per 1,000 calls).
- Pick GPT-6.1 Terra when answer quality matters more than price: it scores 51 vs 33 on the Artificial Analysis Intelligence Index, and costs 3.8x more per call.
- Pick GPT-6.1 Terra if a single prompt can exceed 1M tokens (about 750,000 English words): its window is 1.05M.
- They come from different providers (OpenAI and DeepSeek), so switching means a second API key, SDK and billing account, and tool-calling formats differ. Our schema converter outputs both formats from one JSON Schema.
Context and pricing limits
- GPT-6.1 Terra: 1.05M tokens of context. DeepSeek V4.1 Flash (1017): 1M. GPT-6.1 Terra holds 1.1x more.
- GPT-6.1 Terra: Short-context (<=272K input) price. The prices above are this tier; check the official pricing page before committing.
- DeepSeek V4.1 Flash (1017): API model deepseek-flash. Peak-hour cache-miss price; off-peak is half. The prices above are this tier; check the official pricing page before committing.
- Cached input, batch and off-peak discounts can cut real bills a lot and differ by provider; they are not included here.
FAQ
Is DeepSeek V4.1 Flash (1017) cheaper than GPT-6.1 Terra?
Yes, on our 2000-in / 500-out example call it costs $0.00120 vs $0.00450, 3.8x less.
Which has the larger context window?
GPT-6.1 Terra, with 1.05M tokens vs 1M.
Which scores higher on benchmarks?
GPT-6.1 Terra scores 51 vs 33 on the Artificial Analysis Intelligence Index. LMArena Text: GPT-6.1 Terra n/a, DeepSeek V4.1 Flash (1017) 1476. Benchmarks are averages; test both on your own prompts.
Run your own numbers in the token cost estimator · GPT-6.1 Terra pricing · DeepSeek V4.1 Flash (1017) pricing · All comparisons