GPT-6.1 Terra vs DeepSeek V4 Pro (0813)

GPT-6.1 Terra is 1.0x cheaper than DeepSeek V4 Pro (0813) on our example workload, at list prices.

Side by side

GPT-6.1 TerraDeepSeek V4 Pro (0813)
ProviderOpenAIDeepSeek
Input / 1M tokens$1.00$1.32
Output / 1M tokens$5.00$3.96
Output price ÷ input price5.0x3.0x
Blended / 1M (3:1)$2.00$1.98
Context window1.05M1M
≈ English words that fit788,000750,000
1,000 calls (2000+500 tok)$4.50$4.62
AA Intelligence Index5123
LMArena Textn/a1465
Blended $ per AA index point$0.039$0.086

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.

WorkloadGPT-6.1 TerraDeepSeek V4 Pro (0813)Gap
Support chat reply
a short system prompt, recent chat history and a reply
$0.00450 each
$450.00 / mo
$0.00462 each
$462.00 / mo
1.0x
RAG answer
a question plus about 20K tokens of retrieved documents, and a cited answer
$0.0240 each
$2,400.00 / mo
$0.0296 each
$2,956.80 / mo
1.2x
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
$0.1214 each
$12,144.00 / mo
1.2x
Long-report summary
one 200K-token document summarized into about 2K tokens
$0.2100 each
$21,000.00 / mo
$0.2719 each
$27,192.00 / mo
1.3x

When to pick each

  • Pick GPT-6.1 Terra when cost is the main constraint: at list prices it is 1.0x cheaper than DeepSeek V4 Pro (0813) on a typical 2,000-in / 500-out call ($4.50 vs $4.62 per 1,000 calls).
  • Pick GPT-6.1 Terra when answer quality matters more than price: it scores 51 vs 23 on the Artificial Analysis Intelligence Index, and is also the cheaper model here, so it wins on both counts.
  • Pick GPT-6.1 Terra if a single prompt can exceed 1M tokens (about 750,000 English words): its window is 1.05M.
  • Watch your input/output mix. GPT-6.1 Terra is cheaper per input token and DeepSeek V4 Pro (0813) per output token. They cost the same when output is 24% of tokens; below that GPT-6.1 Terra wins, above it DeepSeek V4 Pro (0813) wins. Read-heavy work (RAG, long context) favors GPT-6.1 Terra; write-heavy work (long generations) favors DeepSeek V4 Pro (0813).
  • 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 Pro (0813): 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 Pro (0813): 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 GPT-6.1 Terra cheaper than DeepSeek V4 Pro (0813)?

Yes, on our 2000-in / 500-out example call it costs $0.00450 vs $0.00462, 1.0x less. Because each is cheaper on a different token type, the answer flips when output exceeds 24% of tokens.

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 23 on the Artificial Analysis Intelligence Index. LMArena Text: GPT-6.1 Terra n/a, DeepSeek V4 Pro (0813) 1465. 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 Pro (0813) pricing · All comparisons