text model comparison
GPT-5.6 Sol vs GPT-6 Cyber
GPT-5.6 Sol and GPT-6 Cyber are both current text models, from OpenAI. GPT-5.6 Sol is 80% cheaper per 1M input tokens than GPT-6 Cyber, $4 vs $20. In OpenAI's GPT-6 Cyber system card, GPT-5.6 Sol scores 78.5% on ExploitBench (mean capability score, normalized to arbitrary code execution) and GPT-6 Cyber 100.0%. Both accept 1,050,000 tokens of context.
- Lower price per 1M input tokens
- GPT-5.6 Sol$4 against $20
- Newer release
- GPT-6 CyberNov 2026 against Jul 2026
Data verified November 6, 2026 · Dataset 2026-11-06
Side by side
GPT-5.6 Sol and GPT-6 Cyber, 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 Cyber |
|---|---|---|
| Price | ||
| Price per 1M input tokens | $4 (better) | $20 |
| Price per 1M output tokens | $20 (better) | $100 |
| Independent benchmarks | ||
| Arena Text | 1485 Elo (#12 of 52) | Not measured |
| GPQA Diamond | 93.5% (#12 of 41) | Not measured |
| FrontierMath Tiers 1-3 (v2) | 89.1% (#7 of 41) | Not measured |
| SimpleQA Verified | 69.7% (#8 of 38) | Not measured |
| Specs | ||
| Provider | OpenAI | OpenAI |
| Release date | July 9, 2026 | November 5, 2026 |
| Access | API only | limited access |
| 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.
Provider results
What the labs report
Results tables a lab published with one of its models, where it lists both GPT-5.6 Sol and GPT-6 Cyber. 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 system card, November 5, 2026OpenAI · 2026-11-06
| Benchmark | GPT-5.6 Sol | GPT-6 Cyber |
|---|---|---|
| ExploitBenchmean capability score, normalized to arbitrary code execution | 78.5% | 100.0% (better) |
| SEC-Bench Propass@1 | 79.1% | 87.0% (better) |
| SRE-Benchall six objectives, pass@1 | 55.9% | 92.8% (better) |
OpenAI's system card results at the highest reasoning budget it tested. The GPT-6 Astra and GPT-5.6 Sol scores match the runs OpenAI's launch post labels Daybreak Blue, the access tier without their cyber guardrails. OpenAI warns that ExploitBench's historical vulnerabilities may have been seen in training. ExploitGym, where the system card gives the same scores, is in the launch post table. Left out here: evaluations OpenAI built itself (ExploitBench Internal Port, ExploitGym Hardened, ExpertSWE) and Irregular's private suites.
OpenAI, GPT-6 Cyber launch post, November 5, 2026OpenAI · 2026-11-06
| Benchmark | GPT-5.6 Sol | GPT-6 Cyber |
|---|---|---|
| ExploitGymstrict supplied-vulnerability pass@1 | 30.3% | 48.5% (better) |
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 Sol and GPT-6 Cyber 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 Sol:#12of 52
1,485 Elo · ahead of 78%
GPT-6 Cyber: Not scored
GPQA Diamond
GPT-5.6 Sol:#12of 41
93.5% · ahead of 73%
GPT-6 Cyber: Not scored
FrontierMath Tiers 1-3 (v2)
GPT-5.6 Sol:#7of 41
89.1% · ahead of 85%
GPT-6 Cyber: Not scored
SimpleQA Verified
GPT-5.6 Sol:#8of 38
69.7% · ahead of 78%
GPT-6 Cyber: Not scored
Price and context
Price per 1M input tokens
GPT-5.6 Sol:#46of 58
$4 · cheaper than 18%
GPT-6 Cyber:#58of 58
$20 · cheaper than 0%
Price per 1M output tokens
GPT-5.6 Sol:#46of 58
$20 · cheaper than 18%
GPT-6 Cyber:#58of 58
$100 · cheaper than 0%
Context window
GPT-5.6 Sol:#1of 67
1.05M tokens · longer than 85%
GPT-6 Cyber:#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-6 Cyber costs 5.0 times as much as GPT-5.6 Sol, at each provider's listed rates.
10M input and 2M output tokens
GPT-6 Cyber costs 5.0× as much
- GPT-5.6 Sol
- $80
- GPT-6 Cyber
- $400
The same, with 9M of the input tokens cached
GPT-6 Cyber costs 5.0× as much
- GPT-5.6 Sol
- $47.60
- GPT-6 Cyber
- $238
| Workload or rate | GPT-5.6 Sol | GPT-6 Cyber |
|---|---|---|
| Example workloads | ||
| 10M input and 2M output tokens | $80 (better) | $400 |
| The same, with 9M of the input tokens cached | $47.60 (better) | $238 |
| Other listed rates | ||
| 1M input tokens, cached | $0.40 (better) | $2 |
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
- Lower input and output prices, $4 and $20 vs $20 and $100 per 1M tokens
- Cheaper cached input, $0.40 vs $2 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
GPT-6 Cyber
Where it leads
No measured lead over GPT-5.6 Sol in this data.
Best for
- Security teams approved for Daybreak Red that develop and validate exploits in authorized tests
- Vulnerability research and patch validation across large codebases such as browsers and kernels
Watch out for
- Limited access: OpenAI is rolling it out through the API and Codex to select approved Daybreak Red customers first, with identity verification, single sign-on, multi-factor authentication and API IP allowlisting
- OpenAI rates it Critical in cybersecurity under its Preparedness Framework, like GPT-6 Astra and up from High for GPT-5.6 Cyber, and adds checks that block high-risk activity against critical systems
- It does not beat GPT-6 Astra at general coding (82.95% against 83.24% on OpenAI's internal ExpertSWE), and on Irregular's FrontierCyber it solved 90 of 288 challenges against 96 for Astra; no independent benchmark score is recorded here yet
From benchmark to production
Building on GPT-5.6 Sol or GPT-6 Cyber?
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 Cyber FAQ
Which is cheaper, GPT-5.6 Sol or GPT-6 Cyber?
GPT-5.6 Sol is 80% cheaper per 1M input tokens than GPT-6 Cyber, $4 vs $20. For 10M input and 2M output tokens, GPT-5.6 Sol costs $80 and GPT-6 Cyber $400 at standard rates.
Which is cheaper with prompt caching, GPT-5.6 Sol or GPT-6 Cyber?
GPT-5.6 Sol charges $0.40 per 1M cached input tokens, 90% below its standard input rate, and GPT-6 Cyber $2, 90% below. With 9M of 10M input tokens cached and 2M output tokens, GPT-5.6 Sol costs $47.60 and GPT-6 Cyber $238.
How do GPT-5.6 Sol and GPT-6 Cyber compare in OpenAI's own results?
In the GPT-6 Cyber system card (November 5, 2026), GPT-6 Cyber leads on ExploitBench (mean capability score, normalized to arbitrary code execution), 100.0% to 78.5%; GPT-6 Cyber leads on SEC-Bench Pro (pass@1), 87.0% to 79.1%; GPT-6 Cyber leads on SRE-Bench (all six objectives, pass@1), 92.8% to 55.9%. These are OpenAI's figures, not independent measurements.
Which has the larger context window, GPT-5.6 Sol or GPT-6 Cyber?
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 Cyber
Articles on GPT-5.6 Sol and GPT-6 Cyber
- 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 Sol vs GPT-6.1 Sol
- Claude Fable 5.1 vs GPT-6 Cyber
- Claude Sonnet 5.5 vs GPT-5.6 Sol
- Claude Fable 5 vs GPT-6 Cyber
- Claude Opus 5.5 vs GPT-5.6 Sol
- Claude Mythos 5.1 vs GPT-6 Cyber
- GPT-5.6 Sol vs GPT-6 Luna
- Gemini 4 Carbon vs GPT-6 Cyber
- GPT-5.6 Sol vs GPT-6 Sol
- GPT-5.6 Cyber vs GPT-6 Cyber
- DeepSeek-V4.1-Flash vs GPT-5.6 Sol
- GPT-6 Astra vs GPT-6 Cyber
Production evaluation
Choosing between GPT-5.6 Sol and GPT-6 Cyber?
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
