text model comparison
GPT-6.1 Sol vs GPT-6 Sol
GPT-6.1 Sol and GPT-6 Sol are both current text models, from OpenAI. Both cost $2 per 1M input tokens. On Arena Text, GPT-6.1 Sol scores 1481 Elo and GPT-6 Sol 1458 Elo (Arena, measured October 28, 2026). Both accept 1,050,000 tokens of context.
- Higher Arena Text
- GPT-6.1 Sol1481 Elo against 1458 Elo
- Newer release
- GPT-6.1 SolSep 29, 2026 against Sep 22, 2026
Data verified November 3, 2026 · Dataset 2026-11-03
Side by side
GPT-6.1 Sol and GPT-6 Sol, 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 Sol |
|---|---|---|
| Price | ||
| Price per 1M input tokens | $2 | $2 |
| Price per 1M output tokens | $10 | $10 |
| Independent benchmarks | ||
| Arena Text | 1481 Elo (#16 of 51) (better) | 1458 Elo (#30 of 51) |
| Arena WebDev | 1751 Elo (#4 of 45) (better) | 1678 Elo (#9 of 45) |
| FrontierMath Tiers 1-3 (v2) | 93.7% (#1 of 42) (better) | 89.8% (#6 of 42) |
| GPQA Diamond | 95.4% (#4 of 41) (better) | 94.3% (#7 of 41) |
| SimpleQA Verified | 73.9% (#3 of 38) (better) | 60.7% (#13 of 38) |
| Specs | ||
| Provider | OpenAI | OpenAI |
| Release date | September 29, 2026 | September 22, 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 |
Charts
Against every current text model
Where GPT-6.1 Sol and GPT-6 Sol land among the current models of their task, on every independent benchmark, on price and on context.
Where each stands
On Arena Text, GPT-6.1 Sol ranks #16 and GPT-6 Sol #30 of 51 current models. Each bar is the share of current models it beats: on score, price and context.
Independent benchmarks
Arena Text
GPT-6.1 Sol:#16of 51
1,481 Elo · ahead of 68%
GPT-6 Sol:#30of 51
1,458 Elo · ahead of 42%
Arena WebDev
GPT-6.1 Sol:#4of 45
1,751 Elo · ahead of 93%
GPT-6 Sol:#9of 45
1,678 Elo · ahead of 82%
FrontierMath Tiers 1-3 (v2)
GPT-6.1 Sol:#1of 42
93.7% · ahead of 98%
GPT-6 Sol:#6of 42
89.8% · ahead of 88%
GPQA Diamond
GPT-6.1 Sol:#4of 41
95.4% · ahead of 90%
GPT-6 Sol:#7of 41
94.3% · ahead of 83%
SimpleQA Verified
GPT-6.1 Sol:#3of 38
73.9% · ahead of 95%
GPT-6 Sol:#13of 38
60.7% · ahead of 68%
Price and context
Price per 1M input tokens
GPT-6.1 Sol:#29of 52
$2 · cheaper than 24%
GPT-6 Sol:#29of 52
$2 · cheaper than 24%
Price per 1M output tokens
GPT-6.1 Sol:#34of 52
$10 · cheaper than 25%
GPT-6 Sol:#34of 52
$10 · cheaper than 25%
Context window
GPT-6.1 Sol:#1of 64
1.05M tokens · longer than 86%
GPT-6 Sol:#1of 64
1.05M tokens · longer than 86%
Quality against price
GPT-6.1 Sol scores 1,481 at $4; GPT-6 Sol scores 1,458 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 | 1,520 | |
| Claude Opus 5.5 | Anthropic | $8 | 1,509 |
| Muse Wonder | Meta | $8 | 1,507 |
| Claude Fable 5 | Anthropic | $20 | 1,504 |
| Claude Fable 5.1 | Anthropic | $20 | 1,504 |
| Gemini 3.8 Flash | $1.50 | 1,496 | |
| Muse Spark 1.3 | Meta | $2 | 1,495 |
| Claude Opus 5 | Anthropic | $10 | 1,492 |
| Kimi K3 | Moonshot Kimi | $6 | 1,488 |
| GPT-5.6 Sol | OpenAI | $8 | 1,485 |
| Gemini 3.6 Flash | $3 | 1,483 | |
| GPT-5.5 | OpenAI | $11 | 1,482 |
| Claude Opus 4.8 | Anthropic | $10 | 1,482 |
| Qwen3.8-Max | Alibaba Qwen | $3 | 1,482 |
| GPT-6.1 Sol | OpenAI | $4 | 1,481 |
| GLM-5.3 | Z.ai | $2.15 | 1,481 |
| MiMo-V2.6-Pro | Xiaomi MiMo | $0.54 | 1,480 |
| Claude Sonnet 5.5 | Anthropic | $4 | 1,477 |
| GLM-5.3-Flash | Z.ai | $0.24 | 1,477 |
| GPT-6 Astra | OpenAI | $20 | 1,476 |
| DeepSeek-V4.1-Flash | DeepSeek | $0.52 | 1,476 |
| GPT-5.4 | OpenAI | $5.63 | 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 | 1,467 |
| Grok 4.5 | xAI | $3 | 1,465 |
| DeepSeek-V4-Pro | DeepSeek | $1.98 | 1,465 |
| Claude Sonnet 5 | Anthropic | $4 | 1,462 |
| GPT-6 Sol | OpenAI | $4 | 1,458 |
| Gemini 3.5 Flash-Lite | $0.85 | 1,456 | |
| Grok 4.6 | xAI | $3 | 1,455 |
| GPT-5.6 Luna | OpenAI | $0.45 | 1,453 |
| MiMo-V2.6-Flash | Xiaomi MiMo | $0.18 | 1,448 |
| Step 5 Preview | StepFun | $1.43 | 1,448 |
| Grok 4.3 | xAI | $1.56 | 1,442 |
| GPT-6 Luna | OpenAI | $0.20 | 1,441 |
| Grok 4.7 | xAI | $3 | 1,441 |
| Mistral Large 4 | Mistral AI | $1.05 | 1,432 |
| Claude Haiku 5.5 | Anthropic | $0.20 | 1,425 |
| GPT-4.1 | OpenAI | $3.50 | 1,415 |
| Solar Pro 4 | Upstage | $0.52 | 1,388 |
| 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
At each provider's listed rates.
10M input and 2M output tokens
The same price
- GPT-6.1 Sol
- $40
- GPT-6 Sol
- $40
The same, with 9M of the input tokens cached
GPT-6 Sol costs 1.0× as much
- GPT-6.1 Sol
- $22.90
- GPT-6 Sol
- $23.80
| Workload or rate | GPT-6.1 Sol | GPT-6 Sol |
|---|---|---|
| Example workloads | ||
| 10M input and 2M output tokens | $40 | $40 |
| The same, with 9M of the input tokens cached | $22.90 (better) | $23.80 |
| Other listed rates | ||
| 1M input tokens, cached | $0.10 (better) | $0.20 |
| 1M input tokens, prompts over 272K tokens | $4 | $4 |
| 1M output tokens, prompts over 272K tokens | $15 | $15 |
Your own bill will differ. These figures use list prices and example workloads. The AI Model Cost Audit reviews your real usage, shortlists models that score as well for each task for less, and estimates the savings.
Launch price $100, regular price $150
Verdict
When to choose each
GPT-6.1 Sol
Where it leads
- Higher Arena Text score, 1481 Elo vs 1458 Elo
- Higher Arena WebDev score, 1751 Elo vs 1678 Elo
- Higher FrontierMath Tiers 1-3 (v2) score, 93.7% vs 89.8%
- Higher GPQA Diamond score, 95.4% vs 94.3%
- Higher SimpleQA Verified score, 73.9% vs 60.7%
- Cheaper cached input, $0.10 vs $0.20 per 1M tokens
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 Sol
Where it leads
No measured lead over GPT-6.1 Sol in this data.
Best for
- General production work that does not need Astra's capability or price
- Workloads kept under the 272,000-token threshold
Watch out for
- Prompts over 272,000 input tokens are rebilled for the whole request at $4 input and $15 output, so crossing the line roughly doubles input cost
- GPT-6.1 Sol lists the same base rates with half the cached-input price, so there is little reason to pick this one for a cache-heavy workload
From benchmark to production
Building on GPT-6.1 Sol or GPT-6 Sol?
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.
AI Model Cost AuditLaunch price $100, regular price $150What the audit includes
FAQ
GPT-6.1 Sol vs GPT-6 Sol FAQ
Which is cheaper, GPT-6.1 Sol or GPT-6 Sol?
Both cost $2 per 1M input tokens. For 10M input and 2M output tokens, GPT-6.1 Sol costs $40 and GPT-6 Sol $40 at standard rates.
Which is cheaper with prompt caching, GPT-6.1 Sol or GPT-6 Sol?
GPT-6.1 Sol charges $0.10 per 1M cached input tokens, 95% below its standard input rate, and GPT-6 Sol $0.20, 90% below. With 9M of 10M input tokens cached and 2M output tokens, GPT-6.1 Sol costs $22.90 and GPT-6 Sol $23.80.
Which scores higher on independent benchmarks, GPT-6.1 Sol or GPT-6 Sol?
GPT-6.1 Sol leads on Arena Text, 1481 Elo to 1458 Elo; GPT-6.1 Sol leads on Arena WebDev, 1751 Elo to 1678 Elo; GPT-6.1 Sol leads on FrontierMath Tiers 1-3 (v2), 93.7% to 89.8%. Scores are independent evaluations, not either vendor's launch figures.
Which has the larger context window, GPT-6.1 Sol or GPT-6 Sol?
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 Sol
Articles on GPT-6.1 Sol and GPT-6 Sol
- OpenAI Models on Google Cloud: What Changes for AI TeamsOctober 22, 2026
- GPT-6 Sol vs Claude Opus 5.5, Plus Luna: Best Value per TaskSeptember 24, 2026
- GPT-6 Sol and Luna: Half the Price, and Where Each One FitsSeptember 23, 2026
Related comparisons
- Claude Haiku 5.5 vs GPT-6.1 Sol
- Gemini 4 Argon vs GPT-6 Sol
- Gemini 4 Argon vs GPT-6.1 Sol
- Claude Sonnet 5.5 vs GPT-6 Sol
- Claude Opus 5.5 vs GPT-6.1 Sol
- Claude Opus 5.5 vs GPT-6 Sol
- Claude Sonnet 5.5 vs GPT-6.1 Sol
- Claude Sonnet 5 vs GPT-6 Sol
- Claude Sonnet 5 vs GPT-6.1 Sol
- DeepSeek-V4.1-Flash vs GPT-6 Sol
- Gemini 3.1 Pro Preview vs GPT-6.1 Sol
- GPT-6 Astra vs GPT-6 Sol
Production evaluation
Choosing between GPT-6.1 Sol and GPT-6 Sol?
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
