Claude Opus 4.8 vs GPT-5.6 Cyber vs GPT-5.5
Too close to call on our weighted score (Claude Opus 4.8 37, GPT-5.5 36, GPT-5.6 Cyber 30). The right pick depends on what you value most.
AnthropicClaude Opus 4.8
37/100- ECI158.3
- Price$5.00 / $25.00
- Context1M
OpenAIGPT-5.6 Cyber
30/100- ECI—
- Price$12.50 / $75.00
- Context400K
- OpenAI
GPT-5.5
36/100- ECI159.2
- Price$5.00 / $30.00
- Context1.05M
Too close to call
It is close. Our weighted score puts them within 1 points (Claude Opus 4.8 37/100, GPT-5.5 36/100, GPT-5.6 Cyber 30/100), so choose by what matters most for your work: Claude Opus 4.8 on price and GPT-5.5 for long inputs. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceClaude Opus 4.8Claude Opus 4.8 $10.00 · GPT-5.5 $11.25 · GPT-5.6 Cyber $28.13 per 1M tokens (3:1 blend)
- Longest contextGPT-5.5GPT-5.5 1,050,000 · Claude Opus 4.8 1,000,000 · GPT-5.6 Cyber 400,000 tokens
- Widest inputsClaude Opus 4.8 and GPT-5.5Claude Opus 4.8: Text, Images, PDFs · GPT-5.6 Cyber: Text, Images · GPT-5.5: Text, Images, PDFs
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | Claude Opus 4.8 | GPT-5.6 Cyber | GPT-5.5 |
|---|---|---|---|---|
| Price | 50% | 2 | 0 | 0 |
| Inputs & features | 30% | 80 | 70 | 80 |
| Context window | 20% | 60 | 44 | 61 |
| Overall | 100% | 37/100 | 30/100 | 36/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Claude Opus 4.8Anthropic | GPT-5.6 CyberOpenAI | GPT-5.5OpenAI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 158.3 | — | 159.2 (best) |
| ECI rank | #12 of 148 | — | #10 of 148 (best) |
| GPQA DiamondGraduate-level science questions | 91.0% | — | 94.0% (best) |
| FrontierMath Tiers 1–3Research-level mathematics | 80.0% | — | 85.3% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | 98.3% | — | 100% (best) |
| SWE-bench VerifiedFixing real GitHub issues | — | — | 80.6% |
| SimpleQA VerifiedShort factual questions | 53.0% | — | 63.0% (best) |
| Price per million tokens | |||
| Input | $5.00 (best) | $12.50 | $5.00 (best) |
| Output | $25.00 (best) | $75.00 | $30.00 |
| Cached input | $0.50 (best) | $1.25 | $0.50 (best) |
| Blended (3:1) | $10.00 (best) | $28.13 | $11.25 |
| Long-context rate | Same rate | Same rate | Over 272K: $10.00 / $45.00 |
| Price source | Official Anthropic API | Official OpenAI API | Official OpenAI API |
| Limits | |||
| Context window | 1,000,000 tokens | 400,000 tokens | 1,050,000 tokens (best) |
| Max output | 128,000 tokens | 128,000 tokens | 128,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | Yes | No | Yes |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yeslow · medium · high · xhigh · max | Yeslow · medium · high · xhigh · max | Yeslow · medium · high · xhigh |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | claude-opus-4-8 | gpt-daybreak-red-latest | gpt-5.5 |
| API providers | 45 (best) | 1 | 42 |
| Released | May 28, 2026 | Aug 7, 2026 | Apr 23, 2026 |
| Knowledge cutoff | Jan 2026 | Feb 16, 2026 | Dec 1, 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Claude Opus 4.8$100.00
- GPT-5.6 Cyber$275.00
- GPT-5.5$110.00
Which should you choose?
Which is better: Claude Opus 4.8, GPT-5.6 Cyber or GPT-5.5?
It is close. Our weighted score puts them within 1 points (Claude Opus 4.8 37/100, GPT-5.5 36/100, GPT-5.6 Cyber 30/100), so choose by what matters most for your work: Claude Opus 4.8 on price and GPT-5.5 for long inputs. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Claude Opus 4.8, GPT-5.6 Cyber or GPT-5.5?
Claude Opus 4.8 is cheaper at $5.00 input / $25.00 output per million tokens (official Anthropic API price). GPT-5.5 costs $5.00 input / $30.00 output per million tokens (official OpenAI API price); GPT-5.6 Cyber costs $12.50 input / $75.00 output per million tokens (official OpenAI API price). At a typical mix of three input tokens to one output token, that is $10.00 per million tokens for Claude Opus 4.8 versus $11.25 for GPT-5.5 (1.1× as much) and $28.13 for GPT-5.6 Cyber (2.8× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Claude Opus 4.8 has an ECI of 158.3, GPT-5.6 Cyber has not been scored yet and GPT-5.5 has an ECI of 159.2.
Which is better for coding?
There are no published SWE-bench Verified results for Claude Opus 4.8 and GPT-5.6 Cyber yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.
Which has the bigger context window?
GPT-5.5 has the largest context window at 1,050,000 tokens, against 1,000,000 for Claude Opus 4.8 and 400,000 for GPT-5.6 Cyber. Maximum output per response: Claude Opus 4.8 up to 128,000, GPT-5.6 Cyber up to 128,000, GPT-5.5 up to 128,000 tokens.
Which can read images, PDFs, audio or video?
Claude Opus 4.8 accepts text, images and PDFs; GPT-5.6 Cyber accepts text and images; GPT-5.5 accepts text, images and PDFs. Claude Opus 4.8 handles the widest range of inputs.
Are any of these open source?
No. Claude Opus 4.8, GPT-5.6 Cyber and GPT-5.5 are proprietary and only available through APIs and apps.
Which is newer?
GPT-5.6 Cyber is the newest, released Aug 7, 2026. Claude Opus 4.8 came out May 28, 2026; GPT-5.5 came out Apr 23, 2026. Knowledge cutoff: Claude Opus 4.8 Jan 2026, GPT-5.6 Cyber Feb 16, 2026, GPT-5.5 Dec 1, 2025.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.
