text model comparison
GPT-5.6 Cyber vs GPT-5.6 Sol
GPT-5.6 Cyber and GPT-5.6 Sol are both current text models, from OpenAI. GPT-5.6 Sol is 68% cheaper per 1M input tokens than GPT-5.6 Cyber, $4 vs $12.50. In OpenAI's GPT-6 Cyber launch post, GPT-5.6 Cyber scores 32.1% on ExploitGym (strict supplied-vulnerability pass@1) and GPT-5.6 Sol 30.3%. GPT-5.6 Sol has the larger context window, 1,050,000 vs 400,000 tokens.
- Lower price per 1M input tokens
- GPT-5.6 Sol$4 against $12.50
- Longer context window
- GPT-5.6 Sol1.05M tokens against 400K tokens
- Newer release
- GPT-5.6 CyberAug 2026 against Jul 2026
Data verified November 6, 2026 · Dataset 2026-11-06
Side by side
GPT-5.6 Cyber and GPT-5.6 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-5.6 Cyber | GPT-5.6 Sol |
|---|---|---|
| Price | ||
| Price per 1M input tokens | $12.50 | $4 (better) |
| Price per 1M output tokens | $75 | $20 (better) |
| Independent benchmarks | ||
| Arena Text | Not measured | 1485 Elo (#12 of 52) |
| GPQA Diamond | Not measured | 93.5% (#12 of 41) |
| FrontierMath Tiers 1-3 (v2) | Not measured | 89.1% (#7 of 41) |
| SimpleQA Verified | Not measured | 69.7% (#8 of 38) |
| Specs | ||
| Provider | OpenAI | OpenAI |
| Release date | August 10, 2026 | July 9, 2026 |
| Access | limited access | API only |
| Context window | 400,000 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.
Provider results
What the labs report
Results tables a lab published with one of its models, where it lists both GPT-5.6 Cyber and GPT-5.6 Sol. These are the lab's own figures, not independent measurements, and each table is read on its own: labs run benchmarks with different harnesses and budgets.
OpenAI, GPT-6 Cyber launch post, November 5, 2026OpenAI · 2026-11-06
| Benchmark | GPT-5.6 Cyber | GPT-5.6 Sol |
|---|---|---|
| ExploitGymstrict supplied-vulnerability pass@1 | 32.1% (better) | 30.3% |
OpenAI's chart from the GPT-6 Cyber announcement. GPT-6 Astra and GPT-5.6 Sol ran with Daybreak Blue access; with its standard safeguards GPT-6 Astra refuses these tasks and scores 0%. Left out here: RemoteExploitBench and the web pentesting evaluation, which OpenAI built itself, the honeypot evaluation, where lower is better, and SRE-Bench, which is in the system card table.
Charts
Against every current text model
Where GPT-5.6 Cyber and GPT-5.6 Sol land among the current models of their task, on every independent benchmark, on price and on context.
Where each stands
Only GPT-5.6 Sol has a current Arena Text score: #12 of 52. Each bar is the share of current models it beats.
Independent benchmarks
Arena Text
GPT-5.6 Cyber: Not scored
GPT-5.6 Sol:#12of 52
1,485 Elo · ahead of 78%
GPQA Diamond
GPT-5.6 Cyber: Not scored
GPT-5.6 Sol:#12of 41
93.5% · ahead of 73%
FrontierMath Tiers 1-3 (v2)
GPT-5.6 Cyber: Not scored
GPT-5.6 Sol:#7of 41
89.1% · ahead of 85%
SimpleQA Verified
GPT-5.6 Cyber: Not scored
GPT-5.6 Sol:#8of 38
69.7% · ahead of 78%
Price and context
Price per 1M input tokens
GPT-5.6 Cyber:#56of 58
$12.50 · cheaper than 4%
GPT-5.6 Sol:#46of 58
$4 · cheaper than 18%
Price per 1M output tokens
GPT-5.6 Cyber:#56of 58
$75 · cheaper than 2%
GPT-5.6 Sol:#46of 58
$20 · cheaper than 18%
Context window
GPT-5.6 Cyber:#56of 67
400K tokens · longer than 17%
GPT-5.6 Sol:#1of 67
1.05M tokens · longer than 85%
Quality against price
GPT-5.6 Sol scores 1,485 at $8 (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 Carbon | $4 | 1,528 | |
| 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 Cyber costs 3.4 times as much as GPT-5.6 Sol, at each provider's listed rates.
10M input and 2M output tokens
GPT-5.6 Cyber costs 3.4× as much
- GPT-5.6 Cyber
- $275
- GPT-5.6 Sol
- $80
The same, with 9M of the input tokens cached
GPT-5.6 Cyber costs 3.7× as much
- GPT-5.6 Cyber
- $173.75
- GPT-5.6 Sol
- $47.60
| Workload or rate | GPT-5.6 Cyber | GPT-5.6 Sol |
|---|---|---|
| Example workloads | ||
| 10M input and 2M output tokens | $275 | $80 (better) |
| The same, with 9M of the input tokens cached | $173.75 | $47.60 (better) |
| Other listed rates | ||
| 1M input tokens, cached | $1.25 | $0.40 (better) |
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 Cyber
Where it leads
No measured lead over GPT-5.6 Sol in this data.
Best for
- Daybreak Red teams that need exploit validation and security testing at a lower price than GPT-6 Cyber
Watch out for
- Limited access: available only to approved Daybreak Red customers
- OpenAI rates it High but not Critical in cybersecurity, and says it sometimes writes shorter, less detailed vulnerability reports than GPT-5.6 Sol
- OpenAI's newer GPT-6 Cyber (November 5, 2026) scores 48.5% on ExploitGym in OpenAI's chart, against 32.1% for this model; no independent benchmark score is recorded here
GPT-5.6 Sol
Where it leads
- Lower input and output prices, $4 and $20 vs $12.50 and $75 per 1M tokens
- Larger context window 1,050,000 vs 400,000 tokens
- Cheaper cached input, $0.40 vs $1.25 per 1M tokens
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
From benchmark to production
Building on GPT-5.6 Cyber or GPT-5.6 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-5.6 Cyber vs GPT-5.6 Sol FAQ
Which is cheaper, GPT-5.6 Cyber or GPT-5.6 Sol?
GPT-5.6 Sol is 68% cheaper per 1M input tokens than GPT-5.6 Cyber, $4 vs $12.50. For 10M input and 2M output tokens, GPT-5.6 Cyber costs $275 and GPT-5.6 Sol $80 at standard rates.
Which is cheaper with prompt caching, GPT-5.6 Cyber or GPT-5.6 Sol?
GPT-5.6 Cyber charges $1.25 per 1M cached input tokens, 90% below its standard input rate, and GPT-5.6 Sol $0.40, 90% below. With 9M of 10M input tokens cached and 2M output tokens, GPT-5.6 Cyber costs $173.75 and GPT-5.6 Sol $47.60.
How do GPT-5.6 Cyber and GPT-5.6 Sol compare in OpenAI's own results?
In the GPT-6 Cyber launch post (November 5, 2026), GPT-5.6 Cyber leads on ExploitGym (strict supplied-vulnerability pass@1), 32.1% to 30.3%. These are OpenAI's figures, not independent measurements.
Which has the larger context window, GPT-5.6 Cyber or GPT-5.6 Sol?
GPT-5.6 Sol has the larger context window, 1,050,000 vs 400,000 tokens. Both return up to 128,000 tokens per response.
Further reading
More on GPT-5.6 Cyber and GPT-5.6 Sol
Articles on GPT-5.6 Cyber and GPT-5.6 Sol
- 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
- GPT-5.6 on Amazon Bedrock: What Agent Teams Should Do NextJuly 21, 2026
Related comparisons
- GPT-5.6 Cyber vs GPT-6 Cyber
- GPT-5.6 Sol vs GPT-6.1 Sol
- GPT-5.6 Cyber vs GPT-Rosalind-6
- Claude Sonnet 5.5 vs GPT-5.6 Sol
- GPT-5.6 Cyber vs GPT-6 Astra
- Claude Opus 5.5 vs GPT-5.6 Sol
- Claude Fable 5.1 vs GPT-5.6 Cyber
- GPT-5.6 Sol vs GPT-6 Luna
- Claude Mythos 5.1 vs GPT-5.6 Cyber
- GPT-5.6 Sol vs GPT-6 Sol
- Claude Fable 5 vs GPT-5.6 Cyber
- DeepSeek-V4.1-Flash vs GPT-5.6 Sol
Production evaluation
Choosing between GPT-5.6 Cyber and GPT-5.6 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
