text model comparison
GPT-6.1 Sol vs GPT-6.1 Terra
GPT-6.1 Sol and GPT-6.1 Terra are both current text models, from OpenAI. GPT-6.1 Terra is 50% cheaper per 1M input tokens than GPT-6.1 Sol, $1 vs $2. Both accept 1,050,000 tokens of context.
- Lower price per 1M input tokens
- GPT-6.1 Terra$1 against $2
- Newer release
- GPT-6.1 TerraOct 2026 against Sep 2026
Data verified October 28, 2026 · Dataset 2026-10-28
Side by side
GPT-6.1 Sol and GPT-6.1 Terra, line by line
Prices in effect today, compared at the same tier wherever both list one. The better value in each row is highlighted.
| Fact | GPT-6.1 Sol | GPT-6.1 Terra |
|---|---|---|
| Price | ||
| Price per 1M input tokens | $2 | $1 (better) |
| Price per 1M output tokens | $10 | $5 (better) |
| Independent benchmarks | ||
| Arena Text | 1484 Elo (#12 of 49) | Not measured |
| GPQA Diamond | 95.4% (#3 of 40) | Not measured |
| FrontierMath Tiers 1-3 (v2) | 93.7% (#1 of 40) | Not measured |
| SimpleQA Verified | 73.9% (#2 of 36) | Not measured |
| Specs | ||
| Provider | OpenAI | OpenAI |
| Release date | September 29, 2026 | October 26, 2026 |
| Access | API only | API only |
| Context window | 1,050,000 tokens | 1,050,000 tokens |
| Max output | 128,000 tokens | 128,000 tokens |
| Input | text, image | text, image |
| Output | text | text |
No independent benchmark has scored both models yet. Each rank counts the current models scored on that benchmark.
Charts
Against every current text model
Where GPT-6.1 Sol and GPT-6.1 Terra land among the current models of their task, on every independent benchmark, on price and on context.
Where each stands
Only GPT-6.1 Sol has a current Arena Text score: #12 of 49. Each bar is the share of current models it beats.
Independent benchmarks
Arena Text
GPT-6.1 Sol:#12of 49
1,484 Elo · ahead of 77%
GPT-6.1 Terra: Not scored
GPQA Diamond
GPT-6.1 Sol:#3of 40
95.4% · ahead of 92%
GPT-6.1 Terra: Not scored
FrontierMath Tiers 1-3 (v2)
GPT-6.1 Sol:#1of 40
93.7% · ahead of 97%
GPT-6.1 Terra: Not scored
SimpleQA Verified
GPT-6.1 Sol:#2of 36
73.9% · ahead of 97%
GPT-6.1 Terra: Not scored
Price and context
Price per 1M input tokens
GPT-6.1 Sol:#28of 51
$2 · cheaper than 24%
GPT-6.1 Terra:#19of 51
$1 · cheaper than 62%
Price per 1M output tokens
GPT-6.1 Sol:#33of 51
$10 · cheaper than 26%
GPT-6.1 Terra:#26of 51
$5 · cheaper than 50%
Context window
GPT-6.1 Sol:#1of 66
1.05M tokens · longer than 86%
GPT-6.1 Terra:#1of 66
1.05M tokens · longer than 86%
Quality against price
GPT-6.1 Sol scores 1,484 at $4 (blended price per 1M tokens). The line joins the current models no other beats on both price and Arena Text score; hover any point to name it.
Quality against price: the data
| Model | Provider | Blended price per 1M tokens | Arena Text (Elo) |
|---|---|---|---|
| Gemini 4 Argon | $4 | 1,525 | |
| Claude Opus 5.5 | Anthropic | $8 | 1,507 |
| Claude Fable 5 | Anthropic | $20 | 1,504 |
| Claude Fable 5.1 | Anthropic | $20 | 1,501 |
| Gemini 3.8 Flash | $1.50 | 1,497 | |
| Muse Spark 1.3 | Meta | $2 | 1,494 |
| Claude Opus 5 | Anthropic | $10 | 1,490 |
| Kimi K3 | Moonshot Kimi | $6 | 1,488 |
| Gemini 3.7 Flash | $1.50 | 1,486 | |
| GPT-5.6 Sol | OpenAI | $8 | 1,485 |
| GPT-6.1 Sol | OpenAI | $4 | 1,484 |
| Qwen3.8-Max | Alibaba Qwen | $3 | 1,483 |
| GPT-5.5 | OpenAI | $11 | 1,482 |
| Gemini 3.6 Flash | $3 | 1,482 | |
| Claude Opus 4.8 | Anthropic | $10 | 1,481 |
| MiMo-V2.6-Pro | Xiaomi MiMo | $0.54 | 1,480 |
| GLM-5.3 | Z.ai | $2.15 | 1,478 |
| Claude Sonnet 5.5 | Anthropic | $4 | 1,476 |
| GPT-5.4 | OpenAI | $5.63 | 1,475 |
| GPT-6 Astra | OpenAI | $20 | 1,475 |
| DeepSeek-V4.1-Flash | DeepSeek | $0.52 | 1,475 |
| GLM-5.3-Flash | Z.ai | $0.24 | 1,475 |
| Gemini 3 Flash Preview | $1.13 | 1,473 | |
| Grok 4.20 | xAI | $1.56 | 1,472 |
| GPT-5.6 Terra | OpenAI | $4.50 | 1,466 |
| Grok 4.5 | xAI | $3 | 1,466 |
| DeepSeek-V4-Pro | DeepSeek | $1.98 | 1,465 |
| Claude Sonnet 5 | Anthropic | $4 | 1,461 |
| GPT-6 Sol | OpenAI | $4 | 1,456 |
| Gemini 3.5 Flash-Lite | $0.85 | 1,455 | |
| Grok 4.6 | xAI | $3 | 1,454 |
| GPT-5.6 Luna | OpenAI | $0.45 | 1,452 |
| MiMo-V2.6-Flash | Xiaomi MiMo | $0.18 | 1,451 |
| GPT-6 Luna | OpenAI | $0.20 | 1,443 |
| Grok 4.7 | xAI | $3 | 1,443 |
| Grok 4.3 | xAI | $1.56 | 1,442 |
| Mistral Large 4 | Mistral AI | $2.06 | 1,429 |
| GPT-4.1 | OpenAI | $3.50 | 1,415 |
| Solar Pro 4 | Upstage | $0.52 | 1,386 |
| GPT-4.1 mini | OpenAI | $0.70 | 1,383 |
| GPT-4.1 nano | OpenAI | $0.18 | 1,322 |
Cost
What each costs
Example workloads at each provider's listed rates, then every other rate either one lists. The cheaper figure in each row is highlighted.
The same work, priced
For 10M input and 2M output tokens, GPT-6.1 Sol costs 2.0 times as much as GPT-6.1 Terra, at each provider's listed rates.
10M input and 2M output tokens
GPT-6.1 Sol costs 2.0× as much
- GPT-6.1 Sol
- $40
- GPT-6.1 Terra
- $20
The same, with 9M of the input tokens cached
GPT-6.1 Sol costs 2.0× as much
- GPT-6.1 Sol
- $22.90
- GPT-6.1 Terra
- $11.45
| Workload or rate | GPT-6.1 Sol | GPT-6.1 Terra |
|---|---|---|
| Example workloads | ||
| 10M input and 2M output tokens | $40 | $20 (better) |
| The same, with 9M of the input tokens cached | $22.90 | $11.45 (better) |
| Other listed rates | ||
| 1M input tokens, cached | $0.10 | $0.05 (better) |
| 1M input tokens, prompts over 272K tokens | $4 | $2 (better) |
| 1M output tokens, prompts over 272K tokens | $15 | $7.50 (better) |
Verdict
When to choose each
GPT-6.1 Sol
Where it leads
No measured lead over GPT-6.1 Terra in this data.
Best for
- Agent loops that replay a large cached prefix
- A drop-in alternative to GPT-6 Sol at the same base cost
Watch out for
- The same 272,000-token long-context cliff applies, rebilling the full request at $4 input and $15 output
- Released a week after GPT-6 Sol at identical base pricing, so the two are easy to confuse on a rate card; the cached rate is the difference
GPT-6.1 Terra
Where it leads
- Lower input and output prices, $1 and $5 vs $2 and $10 per 1M tokens
- Cheaper cached input, $0.05 vs $0.10 per 1M tokens
Best for
- Computer-use and tool-calling agents at half GPT-6.1 Sol's price
- High-volume reasoning work that stays under the 272K long-context threshold
Watch out for
- Prompts over 272,000 input tokens bill the whole request at $2 input and $7.50 output per 1M tokens
- Reads text and images only: audio and video input are not supported
- Released on 26 October 2026, so no independent benchmark score is recorded here yet
From benchmark to production
Building on GPT-6.1 Sol or GPT-6.1 Terra?
Public scores rarely hold on your own data. We test both models on your real tasks, then build the agent or pipeline around the one that wins.
FAQ
GPT-6.1 Sol vs GPT-6.1 Terra FAQ
Which is cheaper, GPT-6.1 Sol or GPT-6.1 Terra?
GPT-6.1 Terra is 50% cheaper per 1M input tokens than GPT-6.1 Sol, $1 vs $2. For 10M input and 2M output tokens, GPT-6.1 Sol costs $40 and GPT-6.1 Terra $20 at standard rates.
Which is cheaper with prompt caching, GPT-6.1 Sol or GPT-6.1 Terra?
GPT-6.1 Sol charges $0.10 per 1M cached input tokens, 95% below its standard input rate, and GPT-6.1 Terra $0.05, 95% below. With 9M of 10M input tokens cached and 2M output tokens, GPT-6.1 Sol costs $22.90 and GPT-6.1 Terra $11.45.
Which has the larger context window, GPT-6.1 Sol or GPT-6.1 Terra?
Both accept 1,050,000 tokens of context. Both return up to 128,000 tokens per response.
Further reading
More on GPT-6.1 Sol and GPT-6.1 Terra
Articles on GPT-6.1 Sol and GPT-6.1 Terra
- GPT-6.1 Terra: Price, Benchmarks and When to Use ItOctober 27, 2026
- OpenAI Models on Google Cloud: What Changes for AI TeamsOctober 22, 2026
Related comparisons
Production evaluation
Choosing between GPT-6.1 Sol and GPT-6.1 Terra?
Public benchmarks narrow the shortlist. We run both on your own tasks, data and cost limits, then build the routing and review controls to run the winner in production.
- A head-to-head evaluation on your real workload
- Routing between models by cost and difficulty
