Kimi K3 vs GPT-5.6 Cyber vs GPT-5.4
Too close to call on our weighted score (GPT-5.4 43, Kimi K3 43, GPT-5.6 Cyber 30). The right pick depends on what you value most.
Moonshot AIKimi K3
43/100- ECI157.6
- Price$3.00 / $15.00
- Context1.05M
OpenAIGPT-5.6 Cyber
30/100- ECI—
- Price$12.50 / $75.00
- Context400K
- OpenAI
GPT-5.4
43/100- ECI156.9
- Price$2.50 / $15.00
- Context1.05M
Too close to call
It is close. Our weighted score puts them within a point (GPT-5.4 43/100, Kimi K3 43/100, GPT-5.6 Cyber 30/100), so choose by what matters most for your work: GPT-5.4 on price. 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 priceGPT-5.4GPT-5.4 $5.63 · Kimi K3 $6.00 · GPT-5.6 Cyber $28.13 per 1M tokens (3:1 blend)
- Longest contextGPT-5.4 and Kimi K3GPT-5.4 1,050,000 · Kimi K3 1,048,576 · GPT-5.6 Cyber 400,000 tokens
- Widest inputsKimi K3 and GPT-5.4Kimi K3: Text, Images, Video · GPT-5.6 Cyber: Text, Images · GPT-5.4: Text, Images, PDFs
- Self-hostingKimi K3Publishes downloadable weights
| Measure | Weight | Kimi K3 | GPT-5.6 Cyber | GPT-5.4 |
|---|---|---|---|---|
| Price | 50% | 13 | 0 | 14 |
| Inputs & features | 30% | 80 | 70 | 80 |
| Context window | 20% | 61 | 44 | 61 |
| Overall | 100% | 43/100 | 30/100 | 43/100 |
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 | Kimi K3Moonshot AI | GPT-5.6 CyberOpenAI | GPT-5.4OpenAI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 157.6 (best) | — | 156.9 |
| ECI rank | #13 of 148 (best) | — | #16 of 148 |
| GPQA DiamondGraduate-level science questions | 93.1% | — | 93.3% (best) |
| FrontierMath Tiers 1–3Research-level mathematics | 72.2% | — | 78.6% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | 97.2% | — | 97.8% (best) |
| SWE-bench VerifiedFixing real GitHub issues | — | — | 76.9% |
| SimpleQA VerifiedShort factual questions | 50.6% (best) | — | 45.1% |
| Price per million tokens | |||
| Input | $3.00 | $12.50 | $2.50 (best) |
| Output | $15.00 (best) | $75.00 | $15.00 (best) |
| Cached input | $0.30 | $1.25 | $0.25 (best) |
| Blended (3:1) | $6.00 | $28.13 | $5.63 (best) |
| Long-context rate | Same rate | Same rate | Over 272K: $5.00 / $22.50 |
| Price source | Official Moonshot AI API | Official OpenAI API | Official OpenAI API |
| Limits | |||
| Context window | 1,048,576 tokens | 400,000 tokens | 1,050,000 tokens (best) |
| Max output | 131,072 tokens (best) | 128,000 tokens | 128,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | No | No | Yes |
| Audio | No | No | No |
| Video | Yes | No | No |
| Reasoning | Yeslow · high · max | Yeslow · medium · high · xhigh · max | Yeslow · medium · high · xhigh |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | Open | Proprietary | Proprietary |
| API model ID | kimi-k3 | gpt-daybreak-red-latest | gpt-5.4 |
| API providers | 68 (best) | 1 | 36 |
| Released | Jul 16, 2026 | Aug 7, 2026 | Mar 5, 2026 |
| Knowledge cutoff | — | Feb 16, 2026 | Aug 31, 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Kimi K3$60.00
- GPT-5.6 Cyber$275.00
- GPT-5.4$55.00
Which should you choose?
Which is better: Kimi K3, GPT-5.6 Cyber or GPT-5.4?
It is close. Our weighted score puts them within a point (GPT-5.4 43/100, Kimi K3 43/100, GPT-5.6 Cyber 30/100), so choose by what matters most for your work: GPT-5.4 on price. 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, Kimi K3, GPT-5.6 Cyber or GPT-5.4?
GPT-5.4 is cheaper at $2.50 input / $15.00 output per million tokens (official OpenAI API price). Kimi K3 costs $3.00 input / $15.00 output per million tokens (official Moonshot AI 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 $5.63 per million tokens for GPT-5.4 versus $6.00 for Kimi K3 (1.1× as much) and $28.13 for GPT-5.6 Cyber (5× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Kimi K3 has an ECI of 157.6, GPT-5.6 Cyber has not been scored yet and GPT-5.4 has an ECI of 156.9.
Which is better for coding?
There are no published SWE-bench Verified results for Kimi K3 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-5.4 and Kimi K3 have the largest context windows (1,050,000 and 1,048,576 tokens), against 400,000 for GPT-5.6 Cyber. Maximum output per response: Kimi K3 up to 131,072, GPT-5.6 Cyber up to 128,000, GPT-5.4 up to 128,000 tokens.
Which can read images, PDFs, audio or video?
Kimi K3 accepts text, images and video; GPT-5.6 Cyber accepts text and images; GPT-5.4 accepts text, images and PDFs. Kimi K3 handles the widest range of inputs.
Are any of these open source?
Kimi K3 publishes its weights and can be self-hosted; GPT-5.6 Cyber and GPT-5.4 is proprietary.
Which is newer?
GPT-5.6 Cyber is the newest, released Aug 7, 2026. Kimi K3 came out Jul 16, 2026; GPT-5.4 came out Mar 5, 2026. Knowledge cutoff: GPT-5.6 Cyber Feb 16, 2026, GPT-5.4 Aug 31, 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.
