Gemini 4 Carbon vs GPT-6.1 Terra
GPT-6.1 Terra is 2.0x cheaper than Gemini 4 Carbon on our example workload, at list prices.
Side by side
| Measure | Gemini 4 Carbon | GPT-6.1 Terra |
|---|---|---|
| Provider | OpenAI | |
| Input / 1M tokens | $2.00 current (through November 30, 2026; $4.00 from December 1, 2026) | $1.00 |
| Output / 1M tokens | $10.00 current (through November 30, 2026; $20.00 from December 1, 2026) | $5.00 |
| Output price ÷ input price | 5.0x | 5.0x |
| Blended / 1M (3:1) | $4.00 | $2.00 |
| Context window | 1M | 1.05M |
| ≈ English words that fit | 750,000 | 788,000 |
| 1,000 calls (2000+500 tok) | $9.00 | $4.50 |
| AA Intelligence Index | 60 | 51 |
| LMArena Text | 1526 (high, preliminary) | Not on LMArena yet |
| Blended $ per AA index point | $0.067 | $0.039 |
List prices from official pages (Google, OpenAI), verified 2026-11-11. Benchmarks from public leaderboards (Artificial Analysis, LMArena), not run by us. Word counts use the rough 0.75 words per token rule for English. "$ 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 | Gemini 4 Carbon | GPT-6.1 Terra | Gap |
|---|---|---|---|
| Support chat reply a short system prompt, recent chat history and a reply | $0.00900 each $900.00 / mo | $0.00450 each $450.00 / mo | 2.0x |
| RAG answer a question plus about 20K tokens of retrieved documents, and a cited answer | $0.0480 each $4,800.00 / mo | $0.0240 each $2,400.00 / mo | 2.0x |
| 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 | $0.2000 each $20,000.00 / mo | $0.1000 each $10,000.00 / mo | 2.0x |
| Long-report summary one 200K-token document summarized into about 2K tokens | $0.4200 each $42,000.00 / mo | $0.2100 each $21,000.00 / mo | 2.0x |
When to pick each
- Pick GPT-6.1 Terra when cost is the main constraint: at list prices it is 2.0x cheaper than Gemini 4 Carbon on a typical 2,000-in / 500-out call ($4.50 vs $9.00 per 1,000 calls).
- Pick Gemini 4 Carbon when answer quality matters more than price: it scores 60 vs 51 on the Artificial Analysis Intelligence Index, and costs 2.0x 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 (Google and OpenAI), 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
- Gemini 4 Carbon: 1M tokens of context. GPT-6.1 Terra: 1.05M. GPT-6.1 Terra holds 1.1x more.
- Gemini 4 Carbon: Standard list price $2/$10 through Nov 30, 2026; $4/$20 from Dec 1, 2026. The prices above are this tier; check the official pricing page before committing.
- GPT-6.1 Terra: Short-context (<=272K input) price. 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 Gemini 4 Carbon?
Yes, on our 2000-in / 500-out example call it costs $0.00450 vs $0.00900, 2.0x less.
Which has the larger context window?
GPT-6.1 Terra, with 1.05M tokens vs 1M.
Which scores higher on benchmarks?
Gemini 4 Carbon scores 60 vs 51 on the Artificial Analysis Intelligence Index. On LMArena Text, Gemini 4 Carbon is 1526 (high, preliminary) and GPT-6.1 Terra is Not on LMArena yet. Benchmarks are averages; test both on your own prompts.
Run your own numbers in the token cost estimator · Gemini 4 Carbon pricing · GPT-6.1 Terra pricing · All comparisons