Ling 3.1 Flash vs GPT-5.6 Cyber
Ling 3.1 Flash comes out ahead, 65 to 30 on our weighted score, and it is the cheaper option too.
- Our pick
inclusionAILing 3.1 Flash
65/100- ECI—
- Price$0.075 / $0.22
- Context262K
OpenAIGPT-5.6 Cyber
30/100- ECI—
- Price$12.50 / $75.00
- Context400K
Add a model
Make it a three-way comparison.
Ling 3.1 Flash is our pick
Ling 3.1 Flash is the better all-round choice, scoring 65/100 against GPT-5.6 Cyber (30). It leads on price. GPT-5.6 Cyber wins on inputs & features and context window. 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 priceLing 3.1 FlashLing 3.1 Flash $0.111 · GPT-5.6 Cyber $28.13 per 1M tokens (3:1 blend)
- Longest contextGPT-5.6 CyberGPT-5.6 Cyber 400,000 · Ling 3.1 Flash 262,144 tokens
- Widest inputsGPT-5.6 CyberLing 3.1 Flash: Text · GPT-5.6 Cyber: Text, Images
- Self-hostingNo open weightsBoth are available only through APIs
| Measure | Weight | Ling 3.1 Flash | GPT-5.6 Cyber |
|---|---|---|---|
| Price | 50% | 95 | 0 |
| Inputs & features | 30% | 35 | 70 |
| Context window | 20% | 37 | 44 |
| Overall | 100% | 65/100 | 30/100 |
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 | Ling 3.1 FlashinclusionAI | GPT-5.6 CyberOpenAI |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.075 (best) | $12.50 |
| Output | $0.22 (best) | $75.00 |
| Cached input | — | $1.25 |
| Blended (3:1) | $0.111 (best) | $28.13 |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 1 providers | Official OpenAI API |
| Limits | ||
| Context window | 262,144 tokens | 400,000 tokens (best) |
| Max output | 32,768 tokens | 128,000 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | Yes |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yes | Yeslow · medium · high · xhigh · max |
| Tool calling | Yes | Yes |
| Structured output | No | Yes |
| Availability | ||
| Weights | Proprietary | Proprietary |
| API model ID | — | gpt-daybreak-red-latest |
| API providers | 3 (best) | 1 |
| Released | Sep 29, 2026 | Aug 7, 2026 |
| Knowledge cutoff | — | Feb 16, 2026 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Ling 3.1 Flash$1.19
- GPT-5.6 Cyber$275.00
Which should you choose?
Which is better: Ling 3.1 Flash or GPT-5.6 Cyber?
Ling 3.1 Flash is the better all-round choice, scoring 65/100 against GPT-5.6 Cyber (30). It leads on price. GPT-5.6 Cyber wins on inputs & features and context window. 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, Ling 3.1 Flash or GPT-5.6 Cyber?
Ling 3.1 Flash is cheaper at $0.075 input / $0.22 output per million tokens (median across 1 API provider). 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 $0.111 per million tokens for Ling 3.1 Flash versus $28.13 for GPT-5.6 Cyber (253× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Ling 3.1 Flash has not been scored yet and GPT-5.6 Cyber has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Ling 3.1 Flash and GPT-5.6 Cyber yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.
Which has the bigger context window?
GPT-5.6 Cyber has the largest context window at 400,000 tokens, against 262,144 for Ling 3.1 Flash. Maximum output per response: Ling 3.1 Flash up to 32,768, GPT-5.6 Cyber up to 128,000 tokens.
Which can read images, PDFs, audio or video?
Ling 3.1 Flash accepts text; GPT-5.6 Cyber accepts text and images. GPT-5.6 Cyber handles the widest range of inputs.
Are any of these open source?
No. Ling 3.1 Flash and GPT-5.6 Cyber are proprietary and only available through APIs and apps.
Which is newer?
Ling 3.1 Flash is the newest, released Sep 29, 2026. GPT-5.6 Cyber came out Aug 7, 2026. Knowledge cutoff: GPT-5.6 Cyber Feb 16, 2026.
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.
