Claude Mythos 5 vs Kimi K2.7 Code Highspeed vs GPT-5.6 Cyber
Kimi K2.7 Code Highspeed comes out ahead, 44 to 36 and 30 on our weighted score, and it is the cheaper option too.
AnthropicClaude Mythos 5
36/100- ECI—
- Price$10.00 / $50.00
- Context1M
- Our pick
Moonshot AIKimi K2.7 Code Highspeed
44/100- ECI—
- Price$1.90 / $8.00
- Context262K
OpenAIGPT-5.6 Cyber
30/100- ECI—
- Price$12.50 / $75.00
- Context400K
Kimi K2.7 Code Highspeed is our pick
Kimi K2.7 Code Highspeed is the better all-round choice, scoring 44/100 against Claude Mythos 5 (36) and GPT-5.6 Cyber (30). It leads on price. Claude Mythos 5 wins on 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 priceKimi K2.7 Code HighspeedKimi K2.7 Code Highspeed $3.42 · Claude Mythos 5 $20.00 · GPT-5.6 Cyber $28.13 per 1M tokens (3:1 blend)
- Longest contextClaude Mythos 5Claude Mythos 5 1,000,000 · GPT-5.6 Cyber 400,000 · Kimi K2.7 Code Highspeed 262,144 tokens
- Widest inputsClaude Mythos 5 and Kimi K2.7 Code HighspeedClaude Mythos 5: Text, Images, PDFs · Kimi K2.7 Code Highspeed: Text, Images, Video · GPT-5.6 Cyber: Text, Images
- Self-hostingKimi K2.7 Code HighspeedPublishes downloadable weights
| Measure | Weight | Claude Mythos 5 | Kimi K2.7 Code Highspeed | GPT-5.6 Cyber |
|---|---|---|---|---|
| Price | 50% | 0 | 25 | 0 |
| Inputs & features | 30% | 80 | 80 | 70 |
| Context window | 20% | 60 | 37 | 44 |
| Overall | 100% | 36/100 | 44/100 | 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 | Claude Mythos 5Anthropic | Kimi K2.7 Code HighspeedMoonshot AI | GPT-5.6 CyberOpenAI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $10.00 | $1.90 (best) | $12.50 |
| Output | $50.00 | $8.00 (best) | $75.00 |
| Cached input | — | — | $1.25 |
| Blended (3:1) | $20.00 | $3.42 (best) | $28.13 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 2 providers | Median of 11 providers | Official OpenAI API |
| Limits | |||
| Context window | 1,000,000 tokens (best) | 262,144 tokens | 400,000 tokens |
| Max output | 128,000 tokens | 262,144 tokens (best) | 128,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | Yes | No | No |
| Audio | No | No | No |
| Video | No | Yes | No |
| Reasoning | Yes | Yes | Yeslow · medium · high · xhigh · max |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | Proprietary | Open | Proprietary |
| API model ID | — | — | gpt-daybreak-red-latest |
| API providers | 2 | 11 (best) | 1 |
| Released | Jun 9, 2026 | Jun 12, 2026 | Aug 7, 2026 |
| Knowledge cutoff | Jan 31, 2026 | Jan 2025 | 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.
- Claude Mythos 5$200.00
- Kimi K2.7 Code Highspeed$35.00
- GPT-5.6 Cyber$275.00
Which should you choose?
Which is better: Claude Mythos 5, Kimi K2.7 Code Highspeed or GPT-5.6 Cyber?
Kimi K2.7 Code Highspeed is the better all-round choice, scoring 44/100 against Claude Mythos 5 (36) and GPT-5.6 Cyber (30). It leads on price. Claude Mythos 5 wins on 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, Claude Mythos 5, Kimi K2.7 Code Highspeed or GPT-5.6 Cyber?
Kimi K2.7 Code Highspeed is cheaper at $1.90 input / $8.00 output per million tokens (median across 11 API providers). Claude Mythos 5 costs $10.00 input / $50.00 output per million tokens (median across 2 API providers); 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 $3.42 per million tokens for Kimi K2.7 Code Highspeed versus $20.00 for Claude Mythos 5 (5.8× as much) and $28.13 for GPT-5.6 Cyber (8.2× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Claude Mythos 5 has not been scored yet, Kimi K2.7 Code Highspeed 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 Claude Mythos 5, Kimi K2.7 Code Highspeed 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?
Claude Mythos 5 has the largest context window at 1,000,000 tokens, against 400,000 for GPT-5.6 Cyber and 262,144 for Kimi K2.7 Code Highspeed. Maximum output per response: Claude Mythos 5 up to 128,000, Kimi K2.7 Code Highspeed up to 262,144, GPT-5.6 Cyber up to 128,000 tokens.
Which can read images, PDFs, audio or video?
Claude Mythos 5 accepts text, images and PDFs; Kimi K2.7 Code Highspeed accepts text, images and video; GPT-5.6 Cyber accepts text and images. Claude Mythos 5 handles the widest range of inputs.
Are any of these open source?
Kimi K2.7 Code Highspeed publishes its weights and can be self-hosted; Claude Mythos 5 and GPT-5.6 Cyber is proprietary.
Which is newer?
GPT-5.6 Cyber is the newest, released Aug 7, 2026. Kimi K2.7 Code Highspeed came out Jun 12, 2026; Claude Mythos 5 came out Jun 9, 2026. Knowledge cutoff: Claude Mythos 5 Jan 31, 2026, Kimi K2.7 Code Highspeed Jan 2025, 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.
