Model vs model
GPT-6.1 Sol vs GPT-6.1 Terra
GPT-6.1 Sol and GPT-6.1 Terra 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 Sol page, OpenRouter's GPT-6.1 Terra page. Updated .
Short answer
GPT-6.1 Terra gets twice as many messages: up to 250 messages a month on Pro, against up to 125 messages a month for GPT-6.1 Sol. Beyond that, they read the same files and neither is easier to try. In our test runs, GPT-6.1 Sol passed 46 of the 50 prompts both answered and GPT-6.1 Terra 48; 2 prompts split them, most on writing (4 to 5).
GPT-6.1 Sol vs GPT-6.1 Terra, prompt by prompt
Every prompt GPT-6.1 Sol and GPT-6.1 Terra 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 46, only GPT-6.1 Sol passed 0, only GPT-6.1 Terra passed 2, and neither passed 2. GPT-6.1 Sol answered sooner on 12 of the 50 and GPT-6.1 Terra on 30; the rest were within 10% of each other. The 50 replies cost $0.0597 on GPT-6.1 Sol and $0.0345 on GPT-6.1 Terra: 1.7× less on GPT-6.1 Terra.
The 2 prompts only one of GPT-6.1 Sol and GPT-6.1 Terra passed
Rewrite corporate jargon in plain words (writing): GPT-6.1 Terra passed and GPT-6.1 Sol didn't. GPT-6.1 Sol: Graded 3.7 of 5 on average (lowest 3). GPT-6.1 Terra: Graded 4.0 of 5 on average (lowest 3).
A refund request outside the window (customer support): GPT-6.1 Terra passed and GPT-6.1 Sol didn't. GPT-6.1 Sol: Graded 3.7 of 5 on average (lowest 3). GPT-6.1 Terra: Graded 4.0 of 5 on average (lowest 3).
Job by job, the widest gaps first
Customer support: GPT-6.1 Sol passed 2 of 5 and GPT-6.1 Terra 3 of 5. GPT-6.1 Terra answered 1.2× sooner at the median, 3.2 s against 2.6 s. GPT-6.1 Terra cost 1.9× less, $0.0062 against $0.0032 for the 5 replies. GPT-6.1 Sol's replies ran 46% longer, in tokens of reply, thinking not counted.
Writing: GPT-6.1 Sol passed 4 of 5 and GPT-6.1 Terra 5 of 5. GPT-6.1 Terra answered 1.3× sooner at the median, 3.3 s against 2.5 s. GPT-6.1 Terra cost 1.8× less, $0.0057 against $0.0031 for the 5 replies. Their replies ran to about the same length.
Data analysis: GPT-6.1 Sol passed 5 of 5 and GPT-6.1 Terra 5 of 5. GPT-6.1 Terra answered 1.2× sooner at the median, 3.0 s against 2.4 s. GPT-6.1 Terra cost 2.0× less, $0.0080 against $0.0041 for the 5 replies. GPT-6.1 Sol's replies ran 46% longer, in tokens of reply, thinking not counted.
Translation: GPT-6.1 Sol passed 5 of 5 and GPT-6.1 Terra 5 of 5. Their median waits were close, 3.2 s against 3.1 s. GPT-6.1 Terra cost 1.8× less, $0.0066 against $0.0036 for the 5 replies. Their replies ran to about the same length.
Coding: GPT-6.1 Sol passed 5 of 5 and GPT-6.1 Terra 5 of 5. Their median waits were close, 4.8 s against 4.6 s. GPT-6.1 Terra cost 1.7× less, $0.0115 against $0.0068 for the 5 replies. Their replies ran to about the same length.
RAG and answering from documents: GPT-6.1 Sol passed 5 of 5 and GPT-6.1 Terra 5 of 5. GPT-6.1 Terra answered 1.3× sooner at the median, 1.3 s against 1.0 s. GPT-6.1 Terra cost 1.6× less, $0.0039 against $0.0024 for the 5 replies. GPT-6.1 Sol's replies ran 15% longer, in tokens of reply, thinking not counted.
Math: GPT-6.1 Sol passed 5 of 5 and GPT-6.1 Terra 5 of 5. Their median waits were close, 1.8 s against 1.9 s. GPT-6.1 Terra cost 1.6× less, $0.0043 against $0.0027 for the 5 replies. Their replies ran to about the same length.
SQL: GPT-6.1 Sol passed 5 of 5 and GPT-6.1 Terra 5 of 5. GPT-6.1 Terra answered 1.1× sooner at the median, 1.7 s against 1.5 s. GPT-6.1 Terra cost 1.6× less, $0.0049 against $0.0031 for the 5 replies. Their replies ran to about the same length.
Summarization: GPT-6.1 Sol passed 5 of 5 and GPT-6.1 Terra 5 of 5. GPT-6.1 Terra answered 1.4× sooner at the median, 2.0 s against 1.5 s. GPT-6.1 Terra cost 1.6× less, $0.0050 against $0.0032 for the 5 replies. Their replies ran to about the same length.
Agents and tool use: GPT-6.1 Sol passed 5 of 5 and GPT-6.1 Terra 5 of 5. GPT-6.1 Sol answered 1.2× sooner at the median, 1.3 s against 1.5 s. GPT-6.1 Terra cost 1.5× less, $0.0036 against $0.0024 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 Sol, 1.4×took 1.7 s and 2.4 s | GPT-6.1 Terra, 1.3×cost $0.0008 and $0.0006 |
| Parse a duration like “1h 30m” | Both passed | GPT-6.1 Sol, 1.2×took 4.8 s and 5.5 s | GPT-6.1 Terra, 1.1×cost $0.0020 and $0.0018 |
| Merge overlapping intervals | Both passed | GPT-6.1 Sol, 1.3×took 2.0 s and 2.5 s | GPT-6.1 Terra, 1.7×cost $0.0011 and $0.0006 |
| Evaluate an arithmetic expression, no eval | Both passed | GPT-6.1 Terra, 1.7×took 7.8 s and 4.6 s | GPT-6.1 Terra, 1.8×cost $0.0037 and $0.0020 |
| Parse CSV with quoted fields | Both passed | GPT-6.1 Terra, 1.8×took 8.4 s and 4.7 s | GPT-6.1 Terra, 2.2×cost $0.0038 and $0.0017 |
| Announce a second bakery shop on LinkedIn | Both passed | GPT-6.1 Terra, 1.4×took 4.2 s and 2.9 s | GPT-6.1 Terra, 1.9×cost $0.0013 and $0.0007 |
| Rewrite corporate jargon in plain words | Only GPT-6.1 Terra | GPT-6.1 Terra, 1.5×took 3.3 s and 2.2 s | GPT-6.1 Terra, 1.8×cost $0.0013 and $0.0008 |
| Decline a meeting and offer two times | Both passed | GPT-6.1 Sol, 1.4×took 1.8 s and 2.5 s | GPT-6.1 Terra, 1.7×cost $0.0007 and $0.0005 |
| A product announcement with five rules | Both passed | GPT-6.1 Terra, 1.3×took 1.9 s and 1.4 s | GPT-6.1 Terra, 2.0×cost $0.0009 and $0.0004 |
| Argue both sides of free buses | Both passed | GPT-6.1 Terra, 1.4×took 4.6 s and 3.3 s | GPT-6.1 Terra, 1.8×cost $0.0014 and $0.0007 |
| A discount, then sales tax | Both passed | GPT-6.1 Terra, 1.3×took 1.5 s and 1.2 s | GPT-6.1 Terra, 1.6×cost $0.0006 and $0.0004 |
| Pens at 3 for $4 | Both passed | GPT-6.1 Sol, 1.3×took 2.4 s and 3.1 s | GPT-6.1 Terra, 1.8×cost $0.0010 and $0.0006 |
| Compound interest over three years | Both passed | GPT-6.1 Sol, 1.5×took 1.7 s and 2.6 s | GPT-6.1 Terra, 1.4×cost $0.0007 and $0.0005 |
| Four-digit numbers whose digits sum to 9 | Both passed | GPT-6.1 Terra, 1.6×took 2.7 s and 1.7 s | GPT-6.1 Terra, 1.7×cost $0.0011 and $0.0006 |
| The highest of three dice is a 5 | Both passed | Closetook 1.8 s and 1.9 s | GPT-6.1 Terra, 1.5×cost $0.0008 and $0.0006 |
| An article in three bullets | Both passed | GPT-6.1 Terra, 1.4×took 2.0 s and 1.5 s | GPT-6.1 Terra, 1.6×cost $0.0009 and $0.0006 |
| An email thread in one sentence | Both passed | GPT-6.1 Sol, 1.7×took 1.7 s and 2.9 s | GPT-6.1 Terra, 1.6×cost $0.0007 and $0.0004 |
| Decisions and action items from a meeting | Both passed | GPT-6.1 Sol, 1.1×took 2.3 s and 2.6 s | GPT-6.1 Terra, 1.3×cost $0.0013 and $0.0010 |
| A quarterly memo for the CEO | Both passed | GPT-6.1 Terra, 1.6×took 2.4 s and 1.4 s | GPT-6.1 Terra, 1.8×cost $0.0012 and $0.0007 |
| A study with a negative result | Both passed | GPT-6.1 Terra, 1.3×took 1.7 s and 1.2 s | GPT-6.1 Terra, 1.7×cost $0.0009 and $0.0005 |
| The region with the most revenue | Both passed | GPT-6.1 Terra, 1.6×took 3.8 s and 2.4 s | GPT-6.1 Terra, 2.2×cost $0.0015 and $0.0007 |
| Average order value in August | Both passed | Closetook 2.1 s and 2.2 s | GPT-6.1 Terra, 1.8×cost $0.0011 and $0.0006 |
| Revenue change from July to August | Both passed | GPT-6.1 Terra, 1.3×took 3.0 s and 2.3 s | GPT-6.1 Terra, 1.7×cost $0.0014 and $0.0008 |
| A median, filtered two ways | Both passed | GPT-6.1 Sol, 1.4×took 1.9 s and 2.5 s | GPT-6.1 Terra, 1.8×cost $0.0010 and $0.0006 |
| Correlation between ad spend and sign-ups | Both passed | GPT-6.1 Terra, 1.9×took 6.5 s and 3.3 s | GPT-6.1 Terra, 2.1×cost $0.0029 and $0.0014 |
| A late order | Neither passed | GPT-6.1 Terra, 1.2×took 3.2 s and 2.6 s | GPT-6.1 Terra, 1.7×cost $0.0011 and $0.0007 |
| A return inside the window | Both passed | GPT-6.1 Terra, 1.2×took 2.0 s and 1.7 s | GPT-6.1 Terra, 1.7×cost $0.0009 and $0.0005 |
| A frustrated customer | Neither passed | Closetook 2.9 s and 2.7 s | GPT-6.1 Terra, 1.9×cost $0.0012 and $0.0006 |
| A refund request outside the window | Only GPT-6.1 Terra | GPT-6.1 Terra, 1.1×took 3.3 s and 2.9 s | GPT-6.1 Terra, 2.0×cost $0.0014 and $0.0007 |
| A message with a planted instruction | Both passed | GPT-6.1 Terra, 1.5×took 3.4 s and 2.4 s | GPT-6.1 Terra, 2.2×cost $0.0015 and $0.0007 |
| A delivery message into Spanish | Both passed | Closetook 3.2 s and 3.3 s | GPT-6.1 Terra, 1.5×cost $0.0012 and $0.0008 |
| A product description into French | Both passed | Closetook 3.0 s and 2.9 s | GPT-6.1 Terra, 1.7×cost $0.0012 and $0.0007 |
| A meeting note into German | Both passed | GPT-6.1 Terra, 1.3×took 3.9 s and 3.1 s | GPT-6.1 Terra, 2.6×cost $0.0017 and $0.0006 |
| Idioms into natural Japanese | Both passed | GPT-6.1 Terra, 1.4×took 2.4 s and 1.8 s | GPT-6.1 Terra, 1.7×cost $0.0010 and $0.0006 |
| A lease clause into Brazilian Portuguese | Both passed | Closetook 3.7 s and 3.5 s | GPT-6.1 Terra, 1.8×cost $0.0015 and $0.0009 |
| Customers in one country | Both passed | GPT-6.1 Terra, 1.3×took 1.2 s and 0.9 s | GPT-6.1 Terra, 1.6×cost $0.0006 and $0.0004 |
| Count orders by status | Both passed | GPT-6.1 Terra, 1.3×took 1.5 s and 1.2 s | GPT-6.1 Terra, 1.6×cost $0.0006 and $0.0004 |
| Revenue by category | Both passed | GPT-6.1 Terra, 1.1×took 1.7 s and 1.5 s | GPT-6.1 Terra, 1.7×cost $0.0009 and $0.0005 |
| Every customer, even those without orders | Both passed | GPT-6.1 Terra, 1.2×took 1.9 s and 1.6 s | GPT-6.1 Terra, 1.7×cost $0.0009 and $0.0005 |
| Monthly revenue with a running total | Both passed | Closetook 4.0 s and 4.3 s | GPT-6.1 Terra, 1.6×cost $0.0019 and $0.0012 |
| A fact from one section | Both passed | GPT-6.1 Terra, 1.2×took 1.3 s and 1.0 s | GPT-6.1 Terra, 1.6×cost $0.0007 and $0.0005 |
| Core hours and start times | Both passed | GPT-6.1 Terra, 1.3×took 1.3 s and 1.0 s | GPT-6.1 Terra, 1.6×cost $0.0008 and $0.0005 |
| Two sections in one answer | Both passed | GPT-6.1 Terra, 1.3×took 1.2 s and 1.0 s | GPT-6.1 Terra, 1.7×cost $0.0008 and $0.0005 |
| A later amendment changes the answer | Both passed | GPT-6.1 Sol, 1.5×took 1.3 s and 2.0 s | GPT-6.1 Terra, 1.6×cost $0.0009 and $0.0005 |
| A question the handbook doesn't answer | Both passed | GPT-6.1 Terra, 1.7×took 2.4 s and 1.4 s | GPT-6.1 Terra, 1.7×cost $0.0007 and $0.0004 |
| Pick the tool and work out the date | Both passed | GPT-6.1 Sol, 1.2×took 1.2 s and 1.5 s | GPT-6.1 Terra, 1.4×cost $0.0006 and $0.0004 |
| Convert a currency | Both passed | Closetook 1.2 s and 1.2 s | GPT-6.1 Terra, 1.6×cost $0.0006 and $0.0004 |
| Book a meeting from a sentence | Both passed | GPT-6.1 Terra, 1.2×took 1.8 s and 1.5 s | GPT-6.1 Terra, 1.6×cost $0.0009 and $0.0005 |
| Search, but don't book | Both passed | GPT-6.1 Sol, 1.6×took 1.3 s and 2.0 s | GPT-6.1 Terra, 1.4×cost $0.0007 and $0.0005 |
| Two calls with a unit conversion | Both passed | GPT-6.1 Terra, 1.3×took 2.7 s and 2.1 s | GPT-6.1 Terra, 1.6×cost $0.0009 and $0.0005 |
GPT-6.1 Sol vs GPT-6.1 Terra in our test runs
GPT-6.1 Sol and GPT-6.1 Terra 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 Sol | GPT-6.1 Terra |
|---|---|---|
| Coding | 5 of 5 | 5 of 5 |
| Writing | 4 of 5 | 5 of 5 |
| Math | 5 of 5 | 5 of 5 |
| Summarization | 5 of 5 | 5 of 5 |
| Data analysis | 5 of 5 | 5 of 5 |
| Customer support | 2 of 5 | 3 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 | 46 of 50 · 1 message each · $0.0012 a reply | 48 of 50 · 1 message each · $0.0007 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 Sol
Failed: Graded 3.7 of 5 on average (lowest 3).
In the third quarter, teams across departments worked together to put customers first. The initiative increased customer retention by 12% and reduced the rate at which customers leave by 0.3 percentage points (30 basis points) in the enterprise segment. We also adjusted customer contact points across all channels to make better use of available capacity.
419 tokens in, 185 out (113 of them reasoning) · 3.3 s · $0.0013 · 1 message on Pro · answered by openai/gpt-6.1-sol via OpenAI ·
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 ·
GPT-6.1 Sol and GPT-6.1 Terra on every plan
Each plan's messages on it. Every plan starts with a 2-day free trial.
| Plan | Price | GPT-6.1 Sol | GPT-6.1 Terra |
|---|---|---|---|
| Plus | $10 a month | Up to 62 a month | Up to 125 a month |
| Pro | $20 a month | Up to 125 a month | Up to 250 a month |
| Max | $50 a month | Up to 400 a month | Up to 800 a month |
| Ultra | $100 a month | Up to 900 a month | Up to 1,800 a month |
| Studio | $200 a month | Up to 2,000 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
GPT-6.1 Terra gets twice as many messages: up to 250 messages a month on Pro, against up to 125 messages a month for GPT-6.1 Sol.
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 Sol and GPT-6.1 Terra are both in the 2-day free trial of Plus or Pro.
Where messages go
Both are GPT models, served the same way. Sent to OpenAI directly.
Fact by fact
| Fact | GPT-6.1 Sol | GPT-6.1 Terra |
|---|---|---|
| Context window | 1.05M tokens | 1.05M tokens |
| Reads images | Yes | Yes |
| PDFs | Whole file | Whole file |
| Reasoning | Yes | Yes |
| API price (October 2026) | $2.00 in / $10.00 out per million tokens | $1.00 in / $5.00 out per million tokens |
| A typical message at API prices (4,000 tokens in, 700 out) | $0.0150 | $0.0075 |
| A $10 top-up adds | 100 messages | 200 messages |
| Where a message goes | Sent to OpenAI directly. | Sent to OpenAI 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 Sol through OpenRouter instead. | 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. |
| Anthropic's safety fallback | Doesn't apply | Doesn't apply |
GPT-6.1 Sol or GPT-6.1 Terra?
From the facts above and our test runs: the rest is how their answers suit your work, which one chat can show you.
Pick GPT-6.1 Terra: more messages for the money, up to 250 messages a month on Pro.
Each model's page, the families, and other pairs
- GPT-6.1 Sol: price, limits and messages on every plan
- GPT-6.1 Terra: price, limits and messages on every plan
- GPT-6.1 Sol vs Claude Sonnet 5.5
- GPT-6.1 Sol vs GPT-6 Sol
- GPT-6 Astra vs GPT-6.1 Sol
- GPT-6.1 Terra vs GPT-6 Luna
- GPT-6.1 Terra vs Claude Haiku 4.5
- GPT-6.1 Terra vs Gemini 3.8 Flash
- Every model-vs-model page
Both are made by the same company, so they're served the same way.
Questions
Is GPT-6.1 Sol or GPT-6.1 Terra cheaper in llmwise?
GPT-6.1 Terra gets twice as many messages: up to 250 messages a month on Pro, against up to 125 messages a month for GPT-6.1 Sol. 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 Sol and GPT-6.1 Terra for free?
For 2 days, yes: GPT-6.1 Sol and GPT-6.1 Terra 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 Sol or GPT-6.1 Terra?
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 Sol and GPT-6.1 Terra in the same chat?
Yes. Pick GPT-6.1 Sol for one message and GPT-6.1 Terra 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 Sol or GPT-6.1 Terra?
On the same 50 prompts, run on October 27, 2026, GPT-6.1 Sol passed 46 and GPT-6.1 Terra passed 48. 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.