text model comparison
GPT-5.6 Sol vs GPT-6.1 Sol
GPT-5.6 Sol and GPT-6.1 Sol are both current text models, from OpenAI. GPT-6.1 Sol is 50% cheaper per 1M input tokens than GPT-5.6 Sol, $2 vs $4. On Arena Text, GPT-5.6 Sol scores 1485 Elo and GPT-6.1 Sol 1481 Elo (Arena, measured October 28, 2026). Both accept 1,050,000 tokens of context.
- Higher Arena Text
- GPT-5.6 Sol1485 Elo against 1481 Elo
- Lower price per 1M input tokens
- GPT-6.1 Sol$2 against $4
- Newer release
- GPT-6.1 SolSep 2026 against Jul 2026
Data verified November 3, 2026 · Dataset 2026-11-03
Side by side
GPT-5.6 Sol and GPT-6.1 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-5.6 Sol | GPT-6.1 Sol |
|---|---|---|
| Price | ||
| Price per 1M input tokens | $4 | $2 (better) |
| Price per 1M output tokens | $20 | $10 (better) |
| Independent benchmarks | ||
| Arena Text | 1485 Elo (#11 of 51) (better) | 1481 Elo (#16 of 51) |
| FrontierMath Tiers 1-3 (v2) | 89.1% (#7 of 42) | 93.7% (#1 of 42) (better) |
| GPQA Diamond | 93.5% (#12 of 41) | 95.4% (#4 of 41) (better) |
| SimpleQA Verified | 69.7% (#8 of 38) | 73.9% (#3 of 38) (better) |
| Arena WebDev | Not measured | 1751 Elo (#4 of 45) |
| Specs | ||
| Provider | OpenAI | OpenAI |
| Release date | July 9, 2026 | September 29, 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-5.6 Sol and GPT-6.1 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-5.6 Sol ranks #11 and GPT-6.1 Sol #16 of 51 current models. Each bar is the share of current models it beats: on score, price and context.
Independent benchmarks
Arena Text
GPT-5.6 Sol:#11of 51
1,485 Elo · ahead of 80%
GPT-6.1 Sol:#16of 51
1,481 Elo · ahead of 68%
Arena WebDev
GPT-5.6 Sol: Not scored
GPT-6.1 Sol:#4of 45
1,751 Elo · ahead of 93%
FrontierMath Tiers 1-3 (v2)
GPT-5.6 Sol:#7of 42
89.1% · ahead of 85%
GPT-6.1 Sol:#1of 42
93.7% · ahead of 98%
GPQA Diamond
GPT-5.6 Sol:#12of 41
93.5% · ahead of 73%
GPT-6.1 Sol:#4of 41
95.4% · ahead of 90%
SimpleQA Verified
GPT-5.6 Sol:#8of 38
69.7% · ahead of 78%
GPT-6.1 Sol:#3of 38
73.9% · ahead of 95%
Price and context
Price per 1M input tokens
GPT-5.6 Sol:#43of 52
$4 · cheaper than 14%
GPT-6.1 Sol:#29of 52
$2 · cheaper than 24%
Price per 1M output tokens
GPT-5.6 Sol:#43of 52
$20 · cheaper than 14%
GPT-6.1 Sol:#34of 52
$10 · cheaper than 25%
Context window
GPT-5.6 Sol:#1of 64
1.05M tokens · longer than 86%
GPT-6.1 Sol:#1of 64
1.05M tokens · longer than 86%
Quality against price
GPT-5.6 Sol scores 1,485 at $8; GPT-6.1 Sol scores 1,481 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
For 10M input and 2M output tokens, GPT-5.6 Sol costs 2.0 times as much as GPT-6.1 Sol, at each provider's listed rates.
10M input and 2M output tokens
GPT-5.6 Sol costs 2.0× as much
- GPT-5.6 Sol
- $80
- GPT-6.1 Sol
- $40
The same, with 9M of the input tokens cached
GPT-5.6 Sol costs 2.1× as much
- GPT-5.6 Sol
- $47.60
- GPT-6.1 Sol
- $22.90
| Workload or rate | GPT-5.6 Sol | GPT-6.1 Sol |
|---|---|---|
| Example workloads | ||
| 10M input and 2M output tokens | $80 | $40 (better) |
| The same, with 9M of the input tokens cached | $47.60 | $22.90 (better) |
| Other listed rates | ||
| 1M input tokens, cached | $0.40 | $0.10 (better) |
| 1M input tokens, prompts over 272K tokens | Not listed | $4 |
| 1M output tokens, prompts over 272K tokens | Not listed | $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-5.6 Sol
Where it leads
- Higher Arena Text score, 1485 Elo vs 1481 Elo
Best for
- Frontier capability evaluations for complex API workflows
- Long-horizon coding and research agents that use computer use or MCP tools
Watch out for
- Not in the pinned LiveBench snapshot; its independent scores here come from Epoch AI's own GPQA Diamond, FrontierMath and SimpleQA Verified runs
GPT-6.1 Sol
Where it leads
- Lower input and output prices, $2 and $10 vs $4 and $20 per 1M tokens
- Higher FrontierMath Tiers 1-3 (v2) score, 93.7% vs 89.1%
- Higher GPQA Diamond score, 95.4% vs 93.5%
- Higher SimpleQA Verified score, 73.9% vs 69.7%
- Cheaper cached input, $0.10 vs $0.40 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
From benchmark to production
Building on GPT-5.6 Sol or GPT-6.1 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-5.6 Sol vs GPT-6.1 Sol FAQ
Which is cheaper, GPT-5.6 Sol or GPT-6.1 Sol?
GPT-6.1 Sol is 50% cheaper per 1M input tokens than GPT-5.6 Sol, $2 vs $4. For 10M input and 2M output tokens, GPT-5.6 Sol costs $80 and GPT-6.1 Sol $40 at standard rates.
Which is cheaper with prompt caching, GPT-5.6 Sol or GPT-6.1 Sol?
GPT-5.6 Sol charges $0.40 per 1M cached input tokens, 90% below its standard input rate, and GPT-6.1 Sol $0.10, 95% below. With 9M of 10M input tokens cached and 2M output tokens, GPT-5.6 Sol costs $47.60 and GPT-6.1 Sol $22.90.
Which scores higher on independent benchmarks, GPT-5.6 Sol or GPT-6.1 Sol?
GPT-5.6 Sol leads on Arena Text, 1485 Elo to 1481 Elo; GPT-6.1 Sol leads on FrontierMath Tiers 1-3 (v2), 93.7% to 89.1%; GPT-6.1 Sol leads on GPQA Diamond, 95.4% to 93.5%. Scores are independent evaluations, not either vendor's launch figures.
Which has the larger context window, GPT-5.6 Sol or GPT-6.1 Sol?
Both accept 1,050,000 tokens of context. Both return up to 128,000 tokens per response.
Further reading
More on GPT-5.6 Sol and GPT-6.1 Sol
Articles on GPT-5.6 Sol and GPT-6.1 Sol
- OpenAI Models on Google Cloud: What Changes for AI TeamsOctober 22, 2026
- Claude Opus 5.5 Benchmarks: What the Chart Shows and HidesSeptember 23, 2026
- Fable 5.1 vs Opus 5 vs GPT-5.6: Which to UseSeptember 1, 2026
- Token Efficiency: OpenAI's Full-Stack BetAugust 25, 2026
- Kimi K3 vs Opus 5 vs GPT-5.6 Sol: which model should you use?July 31, 2026
- ChatGPT for Academic Researchers: GPT-5.6 Sol ProJuly 30, 2026
Related comparisons
- Claude Sonnet 5.5 vs GPT-5.6 Sol
- Claude Haiku 5.5 vs GPT-6.1 Sol
- Claude Opus 5.5 vs GPT-5.6 Sol
- Gemini 4 Argon vs GPT-6.1 Sol
- GPT-5.6 Sol vs GPT-6 Luna
- Claude Opus 5.5 vs GPT-6.1 Sol
- GPT-5.6 Sol vs GPT-6 Sol
- Claude Sonnet 5.5 vs GPT-6.1 Sol
- DeepSeek-V4.1-Flash vs GPT-5.6 Sol
- Claude Sonnet 5 vs GPT-6.1 Sol
- GPT-5.6 Sol vs GPT-6 Astra
- Gemini 3.1 Pro Preview vs GPT-6.1 Sol
Production evaluation
Choosing between GPT-5.6 Sol and GPT-6.1 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
