Model vs model
GPT-6.1 Terra vs Gemini 3.8 Flash
GPT-6.1 Terra and Gemini 3.8 Flash are both in llmwise. What each gets on every plan, what it reads, how it's served and what happens when its provider fails, from the catalog and the code that runs them.
Model prices and specs checked against OpenRouter's GPT-6.1 Terra page, OpenRouter's Gemini 3.8 Flash page. Updated .
Short answer
They cost the same in llmwise: up to 250 messages a month on Pro on either. Beyond that, they read the same files and neither is easier to try. In our test runs, GPT-6.1 Terra passed 48 of the 50 prompts both answered and Gemini 3.8 Flash 46; 4 prompts split them, most on writing (5 to 3).
GPT-6.1 Terra vs Gemini 3.8 Flash, prompt by prompt
Every prompt GPT-6.1 Terra and Gemini 3.8 Flash both answered, compared directly, their biggest differences first. One run each, through OpenRouter: a wait depends on the provider and the load that day, so a lead under 10% counts as close.
Of the 50 prompts both answered, both passed 45, only GPT-6.1 Terra passed 3, only Gemini 3.8 Flash passed 1, and neither passed 1. GPT-6.1 Terra answered sooner on 43 of the 50 and Gemini 3.8 Flash on 4; the rest were within 10% of each other. The 50 replies cost $0.0345 on GPT-6.1 Terra and $0.0644 on Gemini 3.8 Flash: 1.9× less on GPT-6.1 Terra.
The 4 prompts only one of GPT-6.1 Terra and Gemini 3.8 Flash passed
Rewrite corporate jargon in plain words (writing): GPT-6.1 Terra passed and Gemini 3.8 Flash didn't. GPT-6.1 Terra: Graded 4.0 of 5 on average (lowest 3). Gemini 3.8 Flash: Graded 3.7 of 5 on average (lowest 3).
A product announcement with five rules (writing): GPT-6.1 Terra passed and Gemini 3.8 Flash didn't. GPT-6.1 Terra: Graded 4.0 of 5 on average (lowest 3). Gemini 3.8 Flash: Graded 3.7 of 5 on average (lowest 3).
Correlation between ad spend and sign-ups (data analysis): GPT-6.1 Terra passed and Gemini 3.8 Flash didn't. GPT-6.1 Terra: Final answer 0.97: right. Gemini 3.8 Flash: Final answer 0.91; expected 0.97.
A late order (customer support): Gemini 3.8 Flash passed and GPT-6.1 Terra didn't. GPT-6.1 Terra: Graded 3.7 of 5 on average (lowest 1). Gemini 3.8 Flash: Graded 4.7 of 5 on average (lowest 4).
Job by job, the widest gaps first
Writing: GPT-6.1 Terra passed 5 of 5 and Gemini 3.8 Flash 3 of 5. GPT-6.1 Terra answered 1.5× sooner at the median, 2.5 s against 3.9 s. GPT-6.1 Terra cost 2.1× less, $0.0031 against $0.0066 for the 5 replies. Gemini 3.8 Flash's replies ran 29% longer, in tokens of reply, thinking not counted.
Data analysis: GPT-6.1 Terra passed 5 of 5 and Gemini 3.8 Flash 4 of 5. GPT-6.1 Terra answered 2.2× sooner at the median, 2.4 s against 5.4 s. GPT-6.1 Terra cost 3.4× less, $0.0041 against $0.0138 for the 5 replies. Gemini 3.8 Flash's replies ran 489% longer, in tokens of reply, thinking not counted.
Customer support: GPT-6.1 Terra passed 3 of 5 and Gemini 3.8 Flash 4 of 5. GPT-6.1 Terra answered 1.4× sooner at the median, 2.6 s against 3.7 s. GPT-6.1 Terra cost 2.5× less, $0.0032 against $0.0082 for the 5 replies. Gemini 3.8 Flash's replies ran 101% longer, in tokens of reply, thinking not counted.
Math: GPT-6.1 Terra passed 5 of 5 and Gemini 3.8 Flash 5 of 5. GPT-6.1 Terra answered 2.5× sooner at the median, 1.9 s against 4.7 s. GPT-6.1 Terra cost 2.7× less, $0.0027 against $0.0071 for the 5 replies. Gemini 3.8 Flash's replies ran 104% longer, in tokens of reply, thinking not counted.
Agents and tool use: GPT-6.1 Terra passed 5 of 5 and Gemini 3.8 Flash 5 of 5. GPT-6.1 Terra answered 2.9× sooner at the median, 1.5 s against 4.4 s. GPT-6.1 Terra cost 1.8× less, $0.0024 against $0.0043 for the 5 replies. Gemini 3.8 Flash's replies ran 18% longer, in tokens of reply, thinking not counted.
Coding: GPT-6.1 Terra passed 5 of 5 and Gemini 3.8 Flash 5 of 5. Their median waits were close, 4.6 s against 4.2 s. GPT-6.1 Terra cost 1.4× less, $0.0068 against $0.0098 for the 5 replies. Gemini 3.8 Flash's replies ran 98% longer, in tokens of reply, thinking not counted.
RAG and answering from documents: GPT-6.1 Terra passed 5 of 5 and Gemini 3.8 Flash 5 of 5. GPT-6.1 Terra answered 3.0× sooner at the median, 1.0 s against 3.1 s. GPT-6.1 Terra cost 1.4× less, $0.0024 against $0.0033 for the 5 replies. Gemini 3.8 Flash's replies ran 42% longer, in tokens of reply, thinking not counted.
SQL: GPT-6.1 Terra passed 5 of 5 and Gemini 3.8 Flash 5 of 5. GPT-6.1 Terra answered 2.4× sooner at the median, 1.5 s against 3.7 s. GPT-6.1 Terra cost 1.2× less, $0.0031 against $0.0037 for the 5 replies. Gemini 3.8 Flash's replies ran 12% longer, in tokens of reply, thinking not counted.
Summarization: GPT-6.1 Terra passed 5 of 5 and Gemini 3.8 Flash 5 of 5. GPT-6.1 Terra answered 2.5× sooner at the median, 1.5 s against 3.7 s. GPT-6.1 Terra cost 1.2× less, $0.0032 against $0.0038 for the 5 replies. Their replies ran to about the same length.
Translation: GPT-6.1 Terra passed 5 of 5 and Gemini 3.8 Flash 5 of 5. Their median waits were close, 3.1 s against 3.0 s. They cost about the same, $0.0036 against $0.0037 for the 5 replies. Their replies ran to about the same length.
All 50 prompts: who passed, who answered sooner, who cost less
| Prompt | Result | Sooner | Cheaper |
|---|---|---|---|
| Turn a title into a URL slug | Both passed | GPT-6.1 Terra, 1.7×took 2.4 s and 4.2 s | GPT-6.1 Terra, 1.4×cost $0.0006 and $0.0009 |
| Parse a duration like “1h 30m” | Both passed | Gemini 3.8 Flash, 2.4×took 5.5 s and 2.3 s | Gemini 3.8 Flash, 1.7×cost $0.0018 and $0.0010 |
| Merge overlapping intervals | Both passed | GPT-6.1 Terra, 1.5×took 2.5 s and 3.8 s | GPT-6.1 Terra, 1.9×cost $0.0006 and $0.0012 |
| Evaluate an arithmetic expression, no eval | Both passed | GPT-6.1 Terra, 1.5×took 4.6 s and 6.7 s | GPT-6.1 Terra, 2.2×cost $0.0020 and $0.0045 |
| Parse CSV with quoted fields | Both passed | Closetook 4.7 s and 5.0 s | GPT-6.1 Terra, 1.3×cost $0.0017 and $0.0022 |
| Announce a second bakery shop on LinkedIn | Both passed | GPT-6.1 Terra, 1.3×took 2.9 s and 3.9 s | GPT-6.1 Terra, 1.3×cost $0.0007 and $0.0009 |
| Rewrite corporate jargon in plain words | Only GPT-6.1 Terra | GPT-6.1 Terra, 1.5×took 2.2 s and 3.1 s | Gemini 3.8 Flash, 1.2×cost $0.0008 and $0.0006 |
| Decline a meeting and offer two times | Both passed | GPT-6.1 Terra, 1.4×took 2.5 s and 3.5 s | GPT-6.1 Terra, 1.7×cost $0.0005 and $0.0008 |
| A product announcement with five rules | Only GPT-6.1 Terra | GPT-6.1 Terra, 5.3×took 1.4 s and 7.6 s | GPT-6.1 Terra, 7.0×cost $0.0004 and $0.0031 |
| Argue both sides of free buses | Both passed | GPT-6.1 Terra, 1.6×took 3.3 s and 5.2 s | GPT-6.1 Terra, 1.5×cost $0.0007 and $0.0011 |
| A discount, then sales tax | Both passed | GPT-6.1 Terra, 2.1×took 1.2 s and 2.5 s | GPT-6.1 Terra, 1.7×cost $0.0004 and $0.0007 |
| Pens at 3 for $4 | Both passed | GPT-6.1 Terra, 1.5×took 3.1 s and 4.7 s | GPT-6.1 Terra, 2.9×cost $0.0006 and $0.0017 |
| Compound interest over three years | Both passed | Gemini 3.8 Flash, 1.3×took 2.6 s and 2.1 s | GPT-6.1 Terra, 1.8×cost $0.0005 and $0.0009 |
| Four-digit numbers whose digits sum to 9 | Both passed | GPT-6.1 Terra, 2.8×took 1.7 s and 4.7 s | GPT-6.1 Terra, 3.4×cost $0.0006 and $0.0022 |
| The highest of three dice is a 5 | Both passed | GPT-6.1 Terra, 2.6×took 1.9 s and 4.9 s | GPT-6.1 Terra, 3.2×cost $0.0006 and $0.0018 |
| An article in three bullets | Both passed | GPT-6.1 Terra, 2.5×took 1.5 s and 3.7 s | GPT-6.1 Terra, 1.3×cost $0.0006 and $0.0007 |
| An email thread in one sentence | Both passed | GPT-6.1 Terra, 1.3×took 2.9 s and 3.8 s | GPT-6.1 Terra, 1.2×cost $0.0004 and $0.0005 |
| Decisions and action items from a meeting | Both passed | GPT-6.1 Terra, 1.3×took 2.6 s and 3.2 s | Closecost $0.0010 and $0.0009 |
| A quarterly memo for the CEO | Both passed | GPT-6.1 Terra, 2.8×took 1.4 s and 4.0 s | GPT-6.1 Terra, 1.4×cost $0.0007 and $0.0009 |
| A study with a negative result | Both passed | GPT-6.1 Terra, 2.9×took 1.2 s and 3.6 s | GPT-6.1 Terra, 1.3×cost $0.0005 and $0.0007 |
| The region with the most revenue | Both passed | GPT-6.1 Terra, 3.0×took 2.4 s and 7.4 s | GPT-6.1 Terra, 5.6×cost $0.0007 and $0.0038 |
| Average order value in August | Both passed | GPT-6.1 Terra, 2.0×took 2.2 s and 4.4 s | GPT-6.1 Terra, 2.6×cost $0.0006 and $0.0016 |
| Revenue change from July to August | Both passed | GPT-6.1 Terra, 2.8×took 2.3 s and 6.6 s | GPT-6.1 Terra, 4.5×cost $0.0008 and $0.0037 |
| A median, filtered two ways | Both passed | GPT-6.1 Terra, 1.4×took 2.5 s and 3.5 s | GPT-6.1 Terra, 1.8×cost $0.0006 and $0.0010 |
| Correlation between ad spend and sign-ups | Only GPT-6.1 Terra | GPT-6.1 Terra, 1.6×took 3.3 s and 5.4 s | GPT-6.1 Terra, 2.7×cost $0.0014 and $0.0037 |
| A late order | Only Gemini 3.8 Flash | GPT-6.1 Terra, 1.2×took 2.6 s and 3.1 s | GPT-6.1 Terra, 1.4×cost $0.0007 and $0.0009 |
| A return inside the window | Both passed | GPT-6.1 Terra, 1.7×took 1.7 s and 2.9 s | GPT-6.1 Terra, 1.6×cost $0.0005 and $0.0009 |
| A frustrated customer | Neither passed | GPT-6.1 Terra, 1.3×took 2.7 s and 3.7 s | GPT-6.1 Terra, 1.7×cost $0.0006 and $0.0011 |
| A refund request outside the window | Both passed | GPT-6.1 Terra, 2.0×took 2.9 s and 5.9 s | GPT-6.1 Terra, 4.0×cost $0.0007 and $0.0029 |
| A message with a planted instruction | Both passed | GPT-6.1 Terra, 3.1×took 2.4 s and 7.3 s | GPT-6.1 Terra, 3.6×cost $0.0007 and $0.0025 |
| A delivery message into Spanish | Both passed | GPT-6.1 Terra, 1.1×took 3.3 s and 3.7 s | Closecost $0.0008 and $0.0008 |
| A product description into French | Both passed | Gemini 3.8 Flash, 1.3×took 2.9 s and 2.2 s | Closecost $0.0007 and $0.0008 |
| A meeting note into German | Both passed | Closetook 3.1 s and 3.0 s | Closecost $0.0006 and $0.0006 |
| Idioms into natural Japanese | Both passed | GPT-6.1 Terra, 2.7×took 1.8 s and 4.7 s | GPT-6.1 Terra, 1.3×cost $0.0006 and $0.0008 |
| A lease clause into Brazilian Portuguese | Both passed | Gemini 3.8 Flash, 1.7×took 3.5 s and 2.0 s | Closecost $0.0009 and $0.0008 |
| Customers in one country | Both passed | GPT-6.1 Terra, 3.2×took 0.9 s and 3.1 s | GPT-6.1 Terra, 1.2×cost $0.0004 and $0.0005 |
| Count orders by status | Both passed | GPT-6.1 Terra, 3.2×took 1.2 s and 3.7 s | GPT-6.1 Terra, 1.2×cost $0.0004 and $0.0005 |
| Revenue by category | Both passed | GPT-6.1 Terra, 2.0×took 1.5 s and 3.0 s | GPT-6.1 Terra, 1.4×cost $0.0005 and $0.0008 |
| Every customer, even those without orders | Both passed | GPT-6.1 Terra, 2.3×took 1.6 s and 3.7 s | GPT-6.1 Terra, 1.5×cost $0.0005 and $0.0008 |
| Monthly revenue with a running total | Both passed | Closetook 4.3 s and 4.7 s | Closecost $0.0012 and $0.0012 |
| A fact from one section | Both passed | GPT-6.1 Terra, 3.0×took 1.0 s and 3.1 s | GPT-6.1 Terra, 1.3×cost $0.0005 and $0.0006 |
| Core hours and start times | Both passed | GPT-6.1 Terra, 3.0×took 1.0 s and 2.9 s | GPT-6.1 Terra, 1.3×cost $0.0005 and $0.0006 |
| Two sections in one answer | Both passed | GPT-6.1 Terra, 3.3×took 1.0 s and 3.1 s | GPT-6.1 Terra, 1.3×cost $0.0005 and $0.0006 |
| A later amendment changes the answer | Both passed | GPT-6.1 Terra, 2.1×took 2.0 s and 4.1 s | GPT-6.1 Terra, 1.6×cost $0.0005 and $0.0009 |
| A question the handbook doesn't answer | Both passed | GPT-6.1 Terra, 2.0×took 1.4 s and 2.9 s | GPT-6.1 Terra, 1.2×cost $0.0004 and $0.0006 |
| Pick the tool and work out the date | Both passed | GPT-6.1 Terra, 1.2×took 1.5 s and 1.9 s | GPT-6.1 Terra, 1.2×cost $0.0004 and $0.0005 |
| Convert a currency | Both passed | GPT-6.1 Terra, 3.7×took 1.2 s and 4.4 s | GPT-6.1 Terra, 2.0×cost $0.0004 and $0.0008 |
| Book a meeting from a sentence | Both passed | GPT-6.1 Terra, 4.3×took 1.5 s and 6.3 s | GPT-6.1 Terra, 2.2×cost $0.0005 and $0.0012 |
| Search, but don't book | Both passed | GPT-6.1 Terra, 3.1×took 2.0 s and 6.3 s | GPT-6.1 Terra, 1.8×cost $0.0005 and $0.0009 |
| Two calls with a unit conversion | Both passed | GPT-6.1 Terra, 1.9×took 2.1 s and 3.9 s | GPT-6.1 Terra, 1.8×cost $0.0005 and $0.0010 |
GPT-6.1 Terra vs Gemini 3.8 Flash in our test runs
GPT-6.1 Terra and Gemini 3.8 Flash on the same prompts, job by job: how many replies passed their check.
Based on 100 of our test runs on , through OpenRouter with the app's own prompt and settings. Updated .
| Job | GPT-6.1 Terra | Gemini 3.8 Flash |
|---|---|---|
| Coding | 5 of 5 | 5 of 5 |
| Writing | 5 of 5 | 3 of 5 |
| Math | 5 of 5 | 5 of 5 |
| Summarization | 5 of 5 | 5 of 5 |
| Data analysis | 5 of 5 | 4 of 5 |
| Customer support | 3 of 5 | 4 of 5 |
| Translation | 5 of 5 | 5 of 5 |
| SQL | 5 of 5 | 5 of 5 |
| RAG and answering from documents | 5 of 5 | 5 of 5 |
| Agents and tool use | 5 of 5 | 5 of 5 |
| All jobs | 48 of 50 · 1 message each · $0.0007 a reply | 46 of 50 · 1 message each · $0.0013 a reply |
The same prompts, sent to both through llmwise's own pipeline and checked the same way: five for each job. A bold count is the one that passed more. Messages: what each reply counted as on Pro. Cost: what OpenRouter charged us per reply, on average. Every prompt, and how it's scored.
Where they differed most, writing: both replies to a prompt only one of them passed.
An everyday prompt: “Rewrite corporate jargon in plain words”, in full.
GPT-6.1 Terra
Passed: Graded 4.0 of 5 on average (lowest 3).
In Q3, teams across the company worked together to put a more customer-focused approach into practice. This improved customer retention measures by 12% and reduced the pace of customer churn among enterprise customers by 0.3 percentage points. We also adjusted customer contact points across channels to make better use of available resources.
591 tokens in, 184 out (115 of them reasoning) · 2.2 s · $0.0008 · 1 message on Pro · answered by openai/gpt-6.1-terra via OpenAI ·
Gemini 3.8 Flash
Failed: Graded 3.7 of 5 on average (lowest 3).
By having different teams work together in the third quarter, we refocused our business on customer needs. This effort paid off: client retention rates increased by 12%, and the rate at which enterprise clients canceled dropped by 0.30% (30 basis points). At the same time, we streamlined and balanced our communication channels to make better use of our team’s time and resources.
447 tokens in, 81 out · 3.1 s · $0.0006 · 1 message on Pro · answered by google/gemini-3.8-flash via Google ·
GPT-6.1 Terra and Gemini 3.8 Flash on every plan
Each plan's messages on it. Every plan starts with a 2-day free trial.
| Plan | Price | GPT-6.1 Terra | Gemini 3.8 Flash |
|---|---|---|---|
| Plus | $10 a month | Up to 125 a month | Up to 125 a month |
| Pro | $20 a month | Up to 250 a month | Up to 250 a month |
| Max | $50 a month | Up to 800 a month | Up to 800 a month |
| Ultra | $100 a month | Up to 1,800 a month | Up to 1,800 a month |
| Studio | $200 a month | Up to 4,000 a month | Up to 4,000 a month |
Prices don't include tax, which is added where it applies and shown before you pay. A paid plan's month is one allowance shared by every model, so each monthly count is the most you get if all of it goes to that model. It renews each billing period; everyday models refill daily at 00:00 UTC. Long chats count more per reply. How pricing works.
Every limit is published. Paid plans also have a monthly fair-use limit on AI cost: Plus $3.75, Pro $7.50, Max $20, Ultra $42, Studio $85. Using every message on your plan at typical sizes stays under it; very large messages and heavy research use it faster. Every limit, explained.
What differs
Messages on Pro
They cost the same in llmwise: up to 250 messages a month on Pro on either.
Context window
Both take up to 1.05M tokens of context. A chat in llmwise holds up to 200k tokens, which fits in either, so the difference shows only through each maker's own API.
Images and PDFs
Both read images. Both take a PDF as the whole file, pages and all.
Free trial
GPT-6.1 Terra and Gemini 3.8 Flash are both in the 2-day free trial of Plus or Pro.
Where messages go
GPT-6.1 Terra: Sent to OpenAI directly. Gemini 3.8 Flash: Sent to Google directly.
Fact by fact
| Fact | GPT-6.1 Terra | Gemini 3.8 Flash |
|---|---|---|
| Context window | 1.05M tokens | 1.05M tokens |
| Reads images | Yes | Yes |
| PDFs | Whole file | Whole file |
| Reasoning | Yes | Yes |
| API price (October 2026) | $1.00 in / $5.00 out per million tokens | $0.75 in / $3.75 out per million tokens |
| A typical message at API prices (4,000 tokens in, 700 out) | $0.0075 | $0.0056 |
| A $10 top-up adds | 200 messages | 200 messages |
| Where a message goes | Sent to OpenAI directly. | Sent to Google directly. |
| If the provider fails | If OpenAI fails before the reply starts (an overload, a server error, a dropped connection), llmwise sends the same request to GPT-6.1 Terra through OpenRouter instead. | If Google fails before the reply starts (an overload, a server error, a dropped connection), llmwise sends the same request to Gemini 3.8 Flash through OpenRouter instead. |
| Anthropic's safety fallback | Doesn't apply | Doesn't apply |
GPT-6.1 Terra or Gemini 3.8 Flash?
From the facts above and our test runs: the rest is how their answers suit your work, which one chat can show you.
Pick Gemini 3.8 Flash: it costs its maker less to run ($0.0056 a typical message at API prices), though in llmwise the count is the same.
Each model's page, the families, and other pairs
GPT-6.1 Terra vs Gemini 3.8 Flash is one pair of models. The page below covers the whole families.
- GPT-6.1 Terra: price, limits and messages on every plan
- Gemini 3.8 Flash: price, limits and messages on every plan
- ChatGPT vs Gemini
- GPT-6.1 Sol vs GPT-6.1 Terra
- GPT-6.1 Terra vs GPT-6 Luna
- GPT-6.1 Terra vs Claude Haiku 4.5
- Gemini 3.8 Flash vs DeepSeek V4.1 Flash
- Claude Sonnet 5 vs Gemini 3.8 Flash
- Claude Haiku 4.5 vs Gemini 3.8 Flash
- Every model-vs-model page
GPT-6.1 Terra is a GPT model; Gemini 3.8 Flash is a Gemini model.
Questions
Is GPT-6.1 Terra or Gemini 3.8 Flash cheaper in llmwise?
They cost the same in llmwise: up to 250 messages a month on Pro on either. Every paid plan's monthly allowance is shared by the models on it, so each count is the most you get if it all goes to that model.
Can I try GPT-6.1 Terra and Gemini 3.8 Flash for free?
For 2 days, yes: GPT-6.1 Terra and Gemini 3.8 Flash are both in the 2-day free trial of Plus or Pro. Add a card at checkout; cancel before the trial ends and you pay nothing. One free trial per person.
Which has the bigger context window, GPT-6.1 Terra or Gemini 3.8 Flash?
Neither: both take 1.05M tokens. A chat in llmwise holds up to 200k tokens, which fits in either, so the difference shows only through each maker's own API.
Can I use GPT-6.1 Terra and Gemini 3.8 Flash in the same chat?
Yes. Pick GPT-6.1 Terra for one message and Gemini 3.8 Flash for the next; the second sees the whole chat, including the first one's answer.
Which did better in your test runs, GPT-6.1 Terra or Gemini 3.8 Flash?
On the same 50 prompts, run on October 27, 2026, GPT-6.1 Terra passed 48 and Gemini 3.8 Flash passed 46. The table on this page has each job, and every reply is published.
Claude, GPT, Gemini, DeepSeek, Grok, Kimi, GLM, and Mistral, in one chat.
See what a message costs before you send it. Every plan starts with a 2-day free trial. Sign in with an email link, no password; cancel before the trial ends and you pay nothing.