Fugu Ultra vs Kimi K2.7 Code Highspeed vs Claude Mythos 5
Kimi K2.7 Code Highspeed comes out ahead, 44 to 36 and 33 on our weighted score, and it is the cheaper option too.
Sakana AI
Fugu Ultra
33/100- ECI—
- Price$5.00 / $30.00
- Context1M
- Our pick
Moonshot AIKimi K2.7 Code Highspeed
44/100- ECI—
- Price$1.90 / $8.00
- Context262K
AnthropicClaude Mythos 5
36/100- ECI—
- Price$10.00 / $50.00
- Context1M
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 Fugu Ultra (33). It leads 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 priceKimi K2.7 Code HighspeedKimi K2.7 Code Highspeed $3.42 · Fugu Ultra $11.25 · Claude Mythos 5 $20.00 per 1M tokens (3:1 blend)
- Longest contextFugu Ultra and Claude Mythos 5Fugu Ultra 1,000,000 · Claude Mythos 5 1,000,000 · Kimi K2.7 Code Highspeed 262,144 tokens
- Widest inputsKimi K2.7 Code Highspeed and Claude Mythos 5Fugu Ultra: Text, Images · Kimi K2.7 Code Highspeed: Text, Images, Video · Claude Mythos 5: Text, Images, PDFs
- Self-hostingKimi K2.7 Code HighspeedPublishes downloadable weights
| Measure | Weight | Fugu Ultra | Kimi K2.7 Code Highspeed | Claude Mythos 5 |
|---|---|---|---|---|
| Price | 50% | 0 | 25 | 0 |
| Inputs & features | 30% | 70 | 80 | 80 |
| Context window | 20% | 60 | 37 | 60 |
| Overall | 100% | 33/100 | 44/100 | 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 | Fugu UltraSakana AI | Kimi K2.7 Code HighspeedMoonshot AI | Claude Mythos 5Anthropic |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $5.00 | $1.90 (best) | $10.00 |
| Output | $30.00 | $8.00 (best) | $50.00 |
| Cached input | $0.50 | — | — |
| Blended (3:1) | $11.25 | $3.42 (best) | $20.00 |
| Long-context rate | Over 272K: $10.00 / $45.00 | Same rate | Same rate |
| Price source | Official Sakana AI API | Median of 11 providers | Median of 2 providers |
| Limits | |||
| Context window | 1,000,000 tokens (best) | 262,144 tokens | 1,000,000 tokens (best) |
| Max output | — | 262,144 tokens (best) | 128,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | No | No | Yes |
| Audio | No | No | No |
| Video | No | Yes | No |
| Reasoning | Yeshigh · xhigh | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | Proprietary | Open | Proprietary |
| API model ID | fugu-ultra | — | — |
| API providers | 11 (best) | 11 (best) | 2 |
| Released | Jun 15, 2026 | Jun 12, 2026 | Jun 9, 2026 |
| Knowledge cutoff | — | Jan 2025 | Jan 31, 2026 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Fugu Ultra$110.00
- Kimi K2.7 Code Highspeed$35.00
- Claude Mythos 5$200.00
Which should you choose?
Which is better: Fugu Ultra, Kimi K2.7 Code Highspeed or Claude Mythos 5?
Kimi K2.7 Code Highspeed is the better all-round choice, scoring 44/100 against Claude Mythos 5 (36) and Fugu Ultra (33). It leads 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, Fugu Ultra, Kimi K2.7 Code Highspeed or Claude Mythos 5?
Kimi K2.7 Code Highspeed is cheaper at $1.90 input / $8.00 output per million tokens (median across 11 API providers). Fugu Ultra costs $5.00 input / $30.00 output per million tokens (official Sakana AI API price); Claude Mythos 5 costs $10.00 input / $50.00 output per million tokens (median across 2 API providers). 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 $11.25 for Fugu Ultra (3.3× as much) and $20.00 for Claude Mythos 5 (5.8× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Fugu Ultra has not been scored yet, Kimi K2.7 Code Highspeed has not been scored yet and Claude Mythos 5 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Fugu Ultra, Kimi K2.7 Code Highspeed and Claude Mythos 5 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?
Fugu Ultra and Claude Mythos 5 have the largest context windows (1,000,000 and 1,000,000 tokens), against 262,144 for Kimi K2.7 Code Highspeed. Maximum output per response: Kimi K2.7 Code Highspeed up to 262,144, Claude Mythos 5 up to 128,000 tokens.
Which can read images, PDFs, audio or video?
Fugu Ultra accepts text and images; Kimi K2.7 Code Highspeed accepts text, images and video; Claude Mythos 5 accepts text, images and PDFs. Kimi K2.7 Code Highspeed 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; Fugu Ultra and Claude Mythos 5 is proprietary.
Which is newer?
Fugu Ultra is the newest, released Jun 15, 2026. Kimi K2.7 Code Highspeed came out Jun 12, 2026; Claude Mythos 5 came out Jun 9, 2026. Knowledge cutoff: Kimi K2.7 Code Highspeed Jan 2025, Claude Mythos 5 Jan 31, 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.
